ICDE 2023 Detailed Program 


        April 3, 2023, Monday                   April 4, 2023, Tuesday                    April 5, 2023, Wednesday   
        April 6, 2023, Thursday                 April 7, 2023, Friday       

        Virtual Program


In-person Program

April 3, 2023, Monday
Start End Location Event
– 08:30 – Breakfast (on your own)
08:30 10:00 Platinum 1 DECOR
Platinum 2 DBML
Platinum 3 BDAFC
Platinum 4 SMDB
Ballroom CD ASTRIDE
Ballroom AB DASC
10:00 10:30 Foyer Coffee break
10:30 12:30 Platinum 1 DECOR
Platinum 2 DBML
Platinum 3 BDAFC
Platinum 4 SMDB
Ballroom CD ASTRIDE
Ballroom AB DASC
12:30 14:00 Marquis Center Ballroom Lunch
14:00 15:30 Platinum 1 DECOR
Platinum 2 DBML
Platinum 3 HardBD & Active
Platinum 1 SMDB
Ballroom CD ASTRIDE
Ballroom AB DASC
15:30 16:00 Foyer Coffee break
16:00 18:00 Platinum 1 DECOR
Platinum 2 DBML
Platinum 3 HardBD & Active
Platinum 4 SMDB
Ballroom CD ASTRIDE
Ballroom AB DASC
18:00 19:00 Break
19:00 21:30 Platinum Ballroom 5 Reception

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April 4, 2023, Tuesday
Start End Location Event
– 08:15 – Breakfast (on your own)
08:15 10:00 Grand Ballroom EF Open remarks from General Chair: Chen Li
PC Chair Report: Lei Chen and Sharad Mehrotra
Keynote 1: The Persistent Problem of Applications Insecurity，Prof. Elisa Bertino, Purdue University, USA
Session Chair: Lei Chen
10:00 10:30 Foyer Coffee break
10:30 12:20 Ballroom CD Research Session 1: AI for DB I
[Session Chair: Shuming Deng, NUS]

  • RS1, 1: AutoCE: An Accurate and Efficient Model Advisor for Learned Cardinality Estimation
    Jintao Zhang (Tsinghua University); Chao Zhang (Tsinghua University); Guoliang Li (Tsinghua University)*; Chengliang Chai (Beijing Institute of Technology)
  • RS1, 2: Dynamic Materialized View Management using Graph Neural Network
    Yue Han (Tsinghua University); Chengliang Chai (Beijing Institute of Technology); Jiabin Liu (Tsinghua University); Guoliang Li (Tsinghua University)*; Chuangxian Wei (Alibaba); Chaoqun Zhan (Alibaba Inc.)
  • RS1, 3: GAR: A Generate-and-Rank Approach for Natural Language to SQL Translation
    Yuankai FAN (Fudan University)*; Zhenying He (Fudan University); Tonghui Ren (Fudan University); Dianjun Guo (Fudan University); Lin Chen (Fudan University); Ruisi Zhu (Fudan University); Guanduo Chen (Fudan University); Yinan Jing (Fudan University); Kai Zhang (Fudan University); X. Sean Wang (Fudan University)
  • RS1, 4: Efficiently Learning Spatial Indices
    Guanli Liu (The University of Melbourne); Jianzhong Qi (The University of Melbourne)*; Christian S Jensen (Aalborg University); James Bailey (The University of Melbourne); Lars Kulik (University of Melbourne)
  • RS1, 5: Discovering Editing Rules by Deep Reinforcement Learning
    Yinan Mei (Tsinghua University); Shaoxu Song (Tsinghua University)*; Chenguang Fang (Tsinghua University); Ziheng Wei (Huawei Technologies Co., Ltd.); Jingyun Fang (Huawei Technologies Co., Ltd.); Jiang Long (Huawei Technologies Co., Ltd.)
  • RS1, 6: Towards Optimizing Storage Costs on the Cloud
    Koyel Mukherjee (Adobe Research)*; Raunak Shah (Adobe Research); Shiv K Saini (Adobe Research); Karanpreet Singh (Google); Khushi (Google); Harsh Kesarwani (IIT Roorkee); Kavya Barnwal (Adobe); Ayush Chauhan (University of Texas at Austin)
Ballroom AB Research Session 2: Spatial and Temporal Databases I
[Session Chair: Mengxuan Zhang, Iowa State University]

  • RS2, 1: Matrix Factorization with Landmarks for Spatial Data
    Chenguang Fang (Tsinghua University); Yinan Mei (Tsinghua University); Shaoxu Song (Tsinghua University)*
  • RS2, 2: Efficient Public Transport Planning on Roads
    Libin Wang (Hong Kong University of Science and Technology)*; Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)
  • RS2, 3: Global Routing Optimization In Road Networks
    Yehong Xu (Hong Kong university of science and technology)*; Lei Li (The Hong Kong University of Science and Technology (Guang Zhou)); Mengxuan Zhang (Iowa State University); Zizhuo Xu (The Hong Kong University of Science and Technology); Xiaofang Zhou (The Hong Kong University of Science and Technology)
  • RS2, 5: Finding Top-k Optimal Routes with Collective Spatial Keywords on Road Networks
    Li Jiajia (Shenyang Aerospace University); Xing Xiong (Shenyang Aerospace University); Lei Li (The Hong Kong University of Science and Technology (Guang Zhou))*; Dan He (University of Queensland); Chuanyu Zong (Shenyang Aerospace University); Xiaofang Zhou (The Hong Kong University of Science and Technology)
Platinum 3 Industry Session 1: Data Mining and Knowledge Discovery I
[Session Chair: Karim Benouaret, Univ Lyon]

  • IS1, 1: Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation
    Yixin Zhang (Shandong University)*; Yong Liu (Nanyang Technological University); Hao Xiong (Alibaba); YI LIU (Alibaba); Fuqiang Yu (Shangdong university); Wei He (Shandong University); Yonghui Xu (Shandong University); Lizhen Cui (ShanDong University); Chunyan Miao (NTU)
  • IS1, 2: Hierarchical Interest Modeling of Long-tailed Users for Click-Through Rate Prediction
    Xu Xie (Peking University)*; Jin Niu (Alibaba Group); Lifang Deng (Alibaba Group); Dan Wang (Alibaba Group); Jiandong Zhang (Alibaba); Zhihua Wu (Lazada); Kaigui Bian (Peking University); Gang Cao (Beijing Academy of Artificial Intelligence); Bin Cui (Peking University)
  • IS1, 4: Decision Support System for Chronic Diseases Based on Drug-Drug Interactions
    Tian Bian (The Chinese University of Hong Kong)*; Yuli Jiang (The Chinese Univercity of Hong Kong); Jia Li (Hong Kong University of Science and Technology); Tingyang Xu (Tencent AI Lab); Yu Rong (Tencent AI Lab); Yi Su (Hunan Normal University); Timothy KWOK (The Chinese University of Hong Kong); Helen Meng (The Chinese University of Hong Kong); Hong Cheng (Chinese University of Hong Kong)
  • IS1, 5: PUSION – A Generic and Automated Framework for Decision Fusion
    Yannick Wilhelm (Festo SE & Co. KG; University of Stuttgart)*; Peter Reimann (Graduate School advanced Manufacturing Engineering); Wolfgang Gauchel (Festo SE & Co. KG); Steffen Klein (Saarland University); Bernhard Mitschang (University of Stuttgart)
  • IS1, 6: Two-Sided Instant Incentive Optimization under a Shared Budget in Ride-Hailing Services
    Junlin Chen (Tsinghua University); Xin Liu (Meituan); Weidong Liu (Meituan); Hai Jiang (Tsinghua University)*
Ballroom G-K Demos

  • DS 1: SVQ-ACT: Querying for Actions over Videos
    Daren Chao (University of Toronto)*; Kaiwen Chen (university of Toronto); Nick Koudas (University of Toronto)
  • DS 2: GENSQL: A Generative Natural Language Interface to Database Systems
    Yuankai FAN (Fudan University)*; Tonghui Ren (Fudan University); Zhenying He (Fudan University); X. Sean Wang (Fudan University); Ye Zhang (China UnionPay Merchant Services Co.,LTD.); Xingang Li (China UnionPay Merchant Services Co.,LTD.)
  • DS 3: MetroWatch: A Predictive System to Estimate Travel Attributes Using Smart Card Data
    Janaka C Thilakarathna (Singapore management University)*; Baihua Zheng (Singapore Management University); Thivya Kandappu (“Singapore Management University, Singapore”)
  • DS 4: Graph-based Tool for Exploring PubMed Knowledge Base
    Simone Bottoni (University of Insubria)*; Alberto Trombetta (University of Insubria); Flavio Bertini (University of Parma); Danilo Montesi (University of Bologna); Francesca Bonin (IBM Research ); Alessandra Pascale (IBM Research ); Martin Gleize (IBM Research); Pierpaolo Tommasi (IBM)
  • DS 5: BLUTune: Tuning Up IBM Db2 with ML
    Connor Henderson (York University and IBM CAS); Vincent Corvinelli (IBM Ltd.); Parke Godfrey (York University); Piotr Mierzejewski (IBM Ltd.); Jaroslaw Szlichta (York University and IBM CAS)*; Calisto Zuzarte (IBM Ltd.)
  • DS 6: FALL: A Modular Adaptive Learning Platform for Streaming Data
    Benjamin Halstead (The University of Auckland)*; Yun Sing Koh (University of Auckland); Patricia J Riddle (University of Auckland, New Zealand); Mykola Pechenizkiy (TU Eindhoven); Albert Bifet (University of Waikato)
  • DS 7: PyLatheDB – A Library for Relational Keyword Search with Support to Schema References
    Paulo Martins (Federal University of Amazonas)*; Ariel Afonso (Federal University of Amazonas); Altigran Soares da Silva (Universidade Federal do Amazonas)
  • DS 8: CREDENCE: Counterfactual Explanations for Document Ranking
    Joel E Rorseth (University of Waterloo)*; Parke Godfrey (York University); Lukasz Golab (University of Waterloo); Mehdi Kargar (Ryerson University); Divesh Srivastava (AT&T Chief Data Office); Jaroslaw Szlichta (York University and IBM CAS)
  • DS 10: T-FinKB: A Platform of Temporal Financial Knowledge Base Construction
    Xinyi Zhu (HKUST (GZ)); liping wang (HKUST-GZ); Xin Hao (HKUST); Xiaohan Wang (CUHK); Zhifeng Jia (Hong Kong University of Science and Technology); Jiyao Wang (The Hong Kong University of Science and Technology); Chunming MA (HKUST (GZ)); Yuxiang Zeng (Hong Kong University of Science and Technology)*
  • DS 11: CRYPTEXT: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild
    Thai Le (University of Mississippi)*; Yiran Ye (Penn State University); Dongwon Lee (Penn State University); Yifan Hu (Yahoo Research)
  • DS 12: EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge
    Qinglong Zhang (Beijing Institute of Technology); Rui Han (Beijing Institute of Technology)*; Chi Harold Liu (Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology); Lydia Chen (TU Delft)
  • DS 13: Unshackling Database Benchmarking from Synthetic Workloads
    Parimarjan Negi (MIT CSAIL); Laurent Bindschaedler (MIT); Mohammad Alizadeh (MIT CSAIL); Tim Kraska (MIT); Jyoti Leeka (Microsoft); Anja Gruenheid (Microsoft); Matteo Interlandi (Microsoft)*
  • DS 14: Causal What-If and How-To Analysis Using Hyper
    Fangzhu Shen (Duke University); Kayvon Heravi (University of california san diego); Oscar A Gomez (Duke University); Sainyam Galhotra (University of Chicago)*; Amir Gilad (Duke University); Sudeepa Roy (Duke University, USA); Babak Salimi (University of California at San Diego)
  • DS 15: CORGI: An interactive framework for Customizable and Robust Location Obfuscation
    Primal Pappachan (Penn State University)*; Vishnu Sharma Hunsur Manjunath (Penn State); Chenxi Qiu (University of North Texas); Anna Cinzia Squicciarini (Pennsylvania State University); Hailey Onweller (Penn State)
  • DS 16: iORDER: Mining Implicit Domain Orders
    Alexander Bianchi (Ontario Tech University); Reza Karegar (University of Waterloo); Parke Godfrey (York University); Lukasz Golab (University of Waterloo); Mehdi Kargar (Ryerson University); Divesh Srivastava (AT&T Chief Data Office); Jaroslaw Szlichta (York University and IBM CAS)*
Platinum 2 DEI
“Ethics in paper submissions and reviewing”
Moderator: Lei Chen
12:20 14:00 Marquis Center Ballroom Lunch
Platinum 1 DEI mentoring lunch (sponsored by TCDE)
14:00 15:30 Ballroom CD Research Session 3: Explainability, Fairness, and Trust
[Session Chair: Lukasz Golab, University of Waterloo]

  • RS3, 1: Detection of Groups With Biased Representation in Ranking
    Yuval Moskovitch (Ben Gurion University)*; Jinyang Li (University of Michigan); H. V. Jagadish (University of Michigan)
  • RS3, 2: Keyword-based Socially Tenuous Group Queries
    Huaijie Zhu (Sun Yat-Sen University)*; Wei Liu (University of Macau, Sun Yat-Sen University); Jian Yin (Sun Yat-Sen University); Ningning Cui (Anhui University); Jianliang Xu (Hong Kong Baptist University); Xin Huang (Hong Kong Baptist University); Wang-Chien Lee (Pennsylvania State University, USA)
  • RS3, 3: A Hierarchical Approach to Anomalous Subgroup Discovery
    Eliana Pastor (Politecnico di Torino)*; Elena Baralis (Politecnico di Torino); Luca de Alfaro (University of California, Santa Cruz)
  • RS3, 4: On Explaining Confounding Bias
    Brit Youngmann (MIT)*; Michael Cafarella (MIT CSAIL); Yuval Moskovitch (University of Michigan); Babak Salimi (University of California at San Diego)
  • RS3, 5: Efficient and Compact Spreadsheet Formula Graphs
    Dixin Tang (University of California, Berkeley)*; Fanchao Chen (Fudan University); Christopher P De Leon (UC Berkeley); Jeaseok Yun (University of California, Berkeley); Tana Wattanawaroon (Kasetsart University); Srinivasan Seshadri (University of California, Berkeley); Aditya Parameswaran (University of California, Berkeley)
Ballroom AB Research Session 4: Crowdsourcing
[Session Chair: Lei Chen, HKUST]

  • RS4, 1: Air-Ground Spatial Crowdsourcing with UAV Carriers by Geometric Graph Convolutional Multi-Agent Deep Reinforcement Learning
    Yu Wang (Beijing Institute of Technology ); Jingfei Wu (Beijing Institute of Technology); Hua Xingyuan (School of Computer Science Beijing Institute of Technology); Chi Harold Liu (Beijing Institute of Technology)*; Guozheng Li (Beijing Institute of Technology ); Jianxin Zhao (Beijing Institute of Technology); Ye Yuan ( Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology)
  • RS4, 2: Batch-Based Cooperative Task Assignment in Spatial Crowdsourcing
    Yi Yang (Beijing Institute of Technology)*; Yurong Cheng (Beijing institute of technology); Yeru Yang (Beijing Institute of Technology); Ye Yuan ( Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology)
  • RS4, 3: Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning
    Yuxiao Ye (Beijing Institute of Technology); Chi Harold Liu (Beijing Institute of Technology)*; Zipeng Dai (Beijing Institute of Technology); Jianxin Zhao (Beijing Institute of Technology); Ye Yuan ( Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology); Jian Tang (Midea Group)
  • RS4, 4: Dynamic Private Task Assignment under Differential Privacy
    Leilei Du (ECNU); Peng Cheng (East China Normal University)*; Libin Zheng (Sun Yat-sen University); Wei Xi (Xi’an Jiaotong University); Xuemin Lin (Shanghai Jiaotong University); Wenjie Zhang (University of New South Wales); Jing Fang (ECNU)
Platinum 3 Industry Session 2: Graphs
[Session Chair: Arkaprava Saha, Nanyang Technological University]

  • IS2, 1: Reactive Company Control in Company Knowledge Graphs (Best Industrial Paper)
    Davide Magnanimi (Politecnico di Milano)*; Luigi Bellomarini (Banca d’Italia); Stefano Ceri (Politecnico di Milano); Davide Martinenghi (Politecnico di Milano)
  • IS2, 3: GARCIA: Powering Representations of Long-tail Query with Multi–granularity Contrastive Learning
    Weifan Wang (antgroup)*; Binbin Hu (Ant Financial Services Group); zhicheng peng (AntGroup); Mingjie Zhong (antgroup); Zhiqiang Zhang (Ant Group); Zhongyi Liu (Ant Group); Guannan Zhang (Ant Group); Jun Zhou (Ant Financial)
  • IS2, 5: Tele-Knowledge Pre-training for Fault Analysis
    Zhuo Chen (Zhejiang University)*; Wen Zhang (Zhejiang University); Yufeng Huang (Zhejiang University); Mingyang Chen (Zhejiang University); Yuxia Geng (Zhejiang University); Hongtao Yu (Zhejiang University); Zhen Bi (Zhejiang University); Yichi Zhang (Zhejiang University); Zhen Yao (Zhejiang University); Wenting Song (Huawei Technologies Co., Ltd); Wu Xinliang (Huawei); Yi Yang (HUAWEI TECHNOLOGIES CO., LTD.); Song Jiang (Huawei Technologies Co., Ltd); Zhaoyang Lian (Huawei); Yingying Li (Huawei Technologies Co., Ltd.); Huajun Chen (Zhejiang University)
Platinum 4 PhD Symposium

  • Data Additive Residual Learning based Yield Prediction for Semiconductor Manufacturing.
    Youjin Lee (Sungkyunkwan University)
  • INTERPRET: An INtegrated and adapTive framEwoRk to support Policy-makers in the urban EnvironmenT.
    Youjin Lee (Politecnico di Milano, Italy)
  • Human-AI Complex Task Planning [ONLINE].
    Sepideh Nikookar (NJIT, USA)
  • Knowledge Graph Embedding Based on Graph Neural Network.
    Shuang Liang (University of Electronic Science and Technology of China, China)
  • Towards an AutoML System for Fair Classifications.
    Nico Lässig (University of Stuttgart, Germany)
Platinum 2 Tutorial
“The LSM Design Space and its Read Optimizations”
Subhadeep Sarkar (Boston University), Niv Dayan (University of Toronto), Manos Athanassoulis (Boston University)
15:30 16:00 Foyer Coffee break
16:00 17:30 Grand Ballroom EF Special Track Paper session 1: Challenging the past and New Challenges for the future
(part of celebration of Mike Carey’s retirement)
[Session Chair: Sharad Mehrotra]

  • SS1, 1: The Metaverse Data Deluge: What Can We Do About It?
    Beng Chin Ooi (NUS)*; Gang Chen (Zhejiang University); Mike Zheng Shou (National University of Singapore); Kian-Lee Tan (National University of Singapore); Anthony Tung (NUS); Xiaokui Xiao (National University of Singapore); James Yip (National University Hospital); Binxue Zhang (University of Shanghai for Science and Technology); Meihui Zhang (Beijing Institute of Technology)
  • SS1, 2: Relational Fabric: Transparent Data Transformation
    Tarikul Islam Papon (Boston University)*; Ju Hyoung Mun (Boston University); Shahin Roozkhosh (Boston University); Denis Hoornaert (Technical University of Munich); Ahmed Sanaullah (Redhat); Ulrich Drepper (Redhat); Renato Mancuso (Boston University); Manos Athanassoulis (Boston University)
  • SS1, 3: Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics
    Viktor Sanca (EPFL)*; Anastasia Ailamaki (EPFL)
  • SS1, 4: Nested Loops Revisited Again
    Hiroyuki Yamada (The University of Tokyo)*; Kazuo Goda (Institute of Industrial Science, The University of Tokyo); Masaru Kitsuregawa (University of Tokyo, Japan)
17:30 18:45 Grand Ballroom EF
Celebrating Prof. Mike Carey’s contributions to database research and the community Moderators: Sharad Mehrotra and Yingyi Bu
18:45 19:15 Break
19:15 21:30 Center Grand Plaza Banquet

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April 5, 2023, Wednesday
Start End Location Event
– 08:30 – Breakfast (on your own)
08:30 10:00 Grand Ballroom EF Open remarks
Keynote 2: “Trust in the Untrusted World”， Prof. Divyakant Agrawal, UCSB, USA
Session Chair: Chen Li
10:00 10:30 Foyer Coffee break
10:30 12:20 Ballroom CD Research Session 5: Graphs I
[Session Chair: Arijit Khan, Aalborg University]

  • RS5, 1: Fair Group Summarization with Graph Patterns
    Hanchao Ma (Case Western Reserve University)*; Sheng Guan (Case Western Reserve University); Mengying Wang (Case Western Reserve University ); Qi Song (University of Science and Technology of China); Yinghui Wu (Case Western Reserve University)
  • RS5, 2: IFCA: Index-Free Community-Aware Reachability Processing Over Large Dynamic Graphs
    Yue Pang (Peking University)*; Lei Zou (Peking University); Yu Liu (Peking University)
  • SketchConf: A Framework for Automatic Sketch Configuration
    Ruijie Miao (Peking University)*; Fenghao Dong (Peking University); Yikai Zhao (Peking University); Yiming Zhao (Peking University); Yuhan Wu (Peking University); Kaicheng Yang (Peking University); Tong Yang (Peking University); Bin Cui (Peking University)
  • RS5, 4: Partitioner Selection with EASE to Optimize Distributed Graph Processing
    Nikolai Merkel (Technical University of Munich)*; Ruben Mayer (Technical University of Munich); Tawkir Ahmed Fakir (Technical University of Munich); Hans-Arno Jacobsen (University of Toronto)
  • RS5, 5: Efficient Multi-GPU Graph Processing with Remote Work Stealing
    Ke Meng (Alibaba Group)*; Liang Geng (Alibaba Group); Xue Li (Alibaba Group); Qian Tao (Alibaba Group); Wenyuan Yu (Alibaba Group); Jingren Zhou (Alibaba Group)
  • RS5, 6: Towards Efficient Shortest Path Counting on Billion-Scale Graphs
    Yiqi WANG (UNSW); Long Yuan (Nanjing University of Science and Technology)*; Zi Chen (East China Normal University); Wenjie Zhang (University of New South Wales); Xuemin Lin (University of New South Wales); Qing Liu (Data61, CSIRO)
Ballroom AB Research Session 6: Data Mining and Knowledge Discovery I
[Session Chair: Koyel Mukherjee, Adobe Research]

  • RS6, 1: ROI-demand Traffic Prediction: A Pre-train, Query and Fine-tune Framework
    Yue Cui (The Hong Kong University of Science and Technology)*; Shuhao Li (Guangzhou University); Wenjin Deng (University of Electronic Science and Technology of China); Zhaokun Zhang (University of Electronic Science and Technology of China); Jing ZHAO (HKUST); Kai Zheng (University of Electronic Science and Technology of China); Xiaofang Zhou (The Hong Kong University of Science and Technology)
  • RS6, 2: Efficient Augmentation for Imbalanced Deep Learning
    Damien Dablain (Notre Dame)*; Colin Bellinger (National Research Council of Canada); Bartosz Krawczyk (Virginia Commonwealth University); Nitesh Chawla (Notre Dame)
  • RS6, 3: SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs
    Xiao Qin (AWS AI/ML)*; Nasrullah Sheikh (IBM); Chuan Lei (Amazon Web Services); Berthold Reinwald (IBM Research-Almaden); Giacomo Domeniconi (U.S. Bank)
  • RS6, 4: A Competition-Aware Approach to Accurate TV Show Recommendation
    Hong-Kyun Bae (Hanyang University); Yeon-Chang Lee (Georgia Institute of Technology); Kyungsik Han (Hanyang University); Sang-Wook Kim (Hanyang University, Korea)*
  • RS6, 5: HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network
    Khaled Mohammed Saifuddin (Georgia State University)*; Briana Bumgardner (Rice University); Farhan Tanvir (Oklahoma State University); Esra Akbas (Georgia State University)
  • RS6, 6: Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution
    Xiao He (Alibaba Group)*; Jian Tan (Alibaba); Bin Wu (Alibaba Group); Feifei Li (Alibaba Group); Xinping Zhang (Alibaba Group); Gaozhong Liang (Alibaba Group); Jinfeng Xu (City University of Hong Kong)
Ballroom G-K Demos

  • DS 1: SVQ-ACT: Querying for Actions over Videos
    Daren Chao (University of Toronto)*; Kaiwen Chen (university of Toronto); Nick Koudas (University of Toronto)
  • DS 2: GENSQL: A Generative Natural Language Interface to Database Systems
    Yuankai FAN (Fudan University)*; Tonghui Ren (Fudan University); Zhenying He (Fudan University); X. Sean Wang (Fudan University); Ye Zhang (China UnionPay Merchant Services Co.,LTD.); Xingang Li (China UnionPay Merchant Services Co.,LTD.)
  • DS 3: MetroWatch: A Predictive System to Estimate Travel Attributes Using Smart Card Data
    Janaka C Thilakarathna (Singapore management University)*; Baihua Zheng (Singapore Management University); Thivya Kandappu (“Singapore Management University, Singapore”)
  • DS 4: Graph-based Tool for Exploring PubMed Knowledge Base
    Simone Bottoni (University of Insubria)*; Alberto Trombetta (University of Insubria); Flavio Bertini (University of Parma); Danilo Montesi (University of Bologna); Francesca Bonin (IBM Research ); Alessandra Pascale (IBM Research ); Martin Gleize (IBM Research); Pierpaolo Tommasi (IBM)
  • DS 5: BLUTune: Tuning Up IBM Db2 with ML
    Connor Henderson (York University and IBM CAS); Vincent Corvinelli (IBM Ltd.); Parke Godfrey (York University); Piotr Mierzejewski (IBM Ltd.); Jaroslaw Szlichta (York University and IBM CAS)*; Calisto Zuzarte (IBM Ltd.)
  • DS 6: FALL: A Modular Adaptive Learning Platform for Streaming Data
    Benjamin Halstead (The University of Auckland)*; Yun Sing Koh (University of Auckland); Patricia J Riddle (University of Auckland, New Zealand); Mykola Pechenizkiy (TU Eindhoven); Albert Bifet (University of Waikato)
  • DS 7: PyLatheDB – A Library for Relational Keyword Search with Support to Schema References
    Paulo Martins (Federal University of Amazonas)*; Ariel Afonso (Federal University of Amazonas); Altigran Soares da Silva (Universidade Federal do Amazonas)
  • DS 8: CREDENCE: Counterfactual Explanations for Document Ranking
    Joel E Rorseth (University of Waterloo)*; Parke Godfrey (York University); Lukasz Golab (University of Waterloo); Mehdi Kargar (Ryerson University); Divesh Srivastava (AT&T Chief Data Office); Jaroslaw Szlichta (York University and IBM CAS)
  • DS 10: T-FinKB: A Platform of Temporal Financial Knowledge Base Construction
    Xinyi Zhu (HKUST (GZ)); liping wang (HKUST-GZ); Xin Hao (HKUST); Xiaohan Wang (CUHK); Zhifeng Jia (Hong Kong University of Science and Technology); Jiyao Wang (The Hong Kong University of Science and Technology); Chunming MA (HKUST (GZ)); Yuxiang Zeng (Hong Kong University of Science and Technology)*
  • DS 11: CRYPTEXT: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild
    Thai Le (University of Mississippi)*; Yiran Ye (Penn State University); Dongwon Lee (Penn State University); Yifan Hu (Yahoo Research)
  • DS 12: EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge
    Qinglong Zhang (Beijing Institute of Technology); Rui Han (Beijing Institute of Technology)*; Chi Harold Liu (Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology); Lydia Chen (TU Delft)
  • DS 13: Unshackling Database Benchmarking from Synthetic Workloads
    Parimarjan Negi (MIT CSAIL); Laurent Bindschaedler (MIT); Mohammad Alizadeh (MIT CSAIL); Tim Kraska (MIT); Jyoti Leeka (Microsoft); Anja Gruenheid (Microsoft); Matteo Interlandi (Microsoft)*
  • DS 14: Causal What-If and How-To Analysis Using Hyper
    Fangzhu Shen (Duke University); Kayvon Heravi (University of california san diego); Oscar A Gomez (Duke University); Sainyam Galhotra (University of Chicago)*; Amir Gilad (Duke University); Sudeepa Roy (Duke University, USA); Babak Salimi (University of California at San Diego)
  • DS 15: CORGI: An interactive framework for Customizable and Robust Location Obfuscation
    Primal Pappachan (Penn State University)*; Vishnu Sharma Hunsur Manjunath (Penn State); Chenxi Qiu (University of North Texas); Anna Cinzia Squicciarini (Pennsylvania State University); Hailey Onweller (Penn State)
  • DS 16: iORDER: Mining Implicit Domain Orders
    Alexander Bianchi (Ontario Tech University); Reza Karegar (University of Waterloo); Parke Godfrey (York University); Lukasz Golab (University of Waterloo); Mehdi Kargar (Ryerson University); Divesh Srivastava (AT&T Chief Data Office); Jaroslaw Szlichta (York University and IBM CAS)*
Platinum 3 Industry Session 3: Data Mining and Knowledge Discovery II
[Session Chair: Shangyu Luo, ByteDance]

  • IS3, 3: Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery
    Yuting Qiang (Cainiao smart logistics network, Alibaba Group)*; Haomin Wen (Beijing Jiaotong University); lixia wu (Cainiao Ltd. ); Xiaowei Mao (Beijing Jiaotong University); Fan Wu (Cainiao Network); Huaiyu Wan (Beijing Jiaotong University); Haoyuan Hu (Cainiao Network)
  • IS3, 4: BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service
    Boya Du (Alibaba Group)*; Shaochuan Lin (Alibaba Group); Jiong Gao (Alibaba Group ); Xiyu Ji (Alibaba Group ); Mengya Wang (Alibaba Group ); Taotao Zhou (Alibaba Group ); hengxu he (Alibaba Group); Jia Jia (Alibaba Group ); Ning Hu (Alibaba Group )
  • IS3, 5: Impact-aware Maneuver Decision with Enhanced Perception for Autonomous Vehicle
    Shuncheng Liu (University of Electronic Science and Technology of China); Yuyang Xia (University of Electronic Science and Technology of China); Xu Chen (University of Electronic Science and Technology of China); jiandong xie (HUAWEI TECHNOLOGIES CO.LTD.); Han Su (University of Electronic Science and Technology of China); Kai Zheng (University of Electronic Science and Technology of China)*
Platinum 2 Tutorial “Data Acquisition and Valuation in Data Markets” (Part I), Jian Pei (Duke University), Xiaohui Yu (York University)
12:20 14:00 Marquis Center Ballroom Executive lunch with awards
14:00 15:30 Platinum 4 Research Session 7: Order Pricing, Data Visualization and Interactive Data Search and Exploration
[Session Chair: Peter Reimann, University of Stuttgart]

  • RS7, 1: Interactive Search with Mixed Attributes
    Weicheng Wang (Hong Kong University of Science and Technology)*; Raymond Chi-Wing Wong (Hong Kong University of Science and Technology); Min Xie (Shenzhen Institute of Computing Sciences )
  • RS7, 3: TSEXPLAIN: Explaining Aggregated Time Series by Surfacing Evolving Contributors
    Yiru Chen (Columbia University)*; Silu Huang (Microsoft Research)
  • RS7, 4: Dynamic Shapley Value Computation
    Jiayao Zhang (Zhejiang University); Haocheng Xia (Zhejiang University); Qiheng Sun (Zhejiang University); Jinfei Liu (Zhejiang University)*; Li Xiong (Emory University); Jian Pei (Simon Fraser University); Kui Ren (Zhejiang University)
  • RS7, 5: Probabilistic Majority Rule-Based Group Recommendation
    Karim Benouaret (Univ Lyon, Université Claude Bernard Lyon 1, CNRS, LIRIS)*; Kian-Lee Tan (National University of Singapore)
Ballroom CD Research Session 8: Information Integration and Data Quality
[Session Chair: Sainyam Galhotra, University of Chicago]

  • RS8, 1: Inconsistency Detection with Temporal Graph Functional Dependencies
    Morteza Alipourlangouri (McMaster University, Canada); Adam Mansfield (McMaster University); Fei Chiang (McMaster University)*; Yinghui Wu (Case Western Reserve University)
  • RS8, 2: Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and Preparation
    Runhui Wang (Rutgers University); Yuliang Li (Megagon Labs)*; Jin Wang (Megagon Labs)
  • RS8, 3: Benchmarking Filtering Techniques for Entity Resolution
    George Papadakis (University of Athens); Marco Fisichella (L3S Research Center of Leibniz Univ. Hannover); Franziska Schoger (L3S Research Center); George Mandilaras (University of Athens); Nikolaus Augsten (University of Salzburg)*; Wolfgang Nejdl (L3S Research Center)
  • RS8, 4: KOIOS: Top-k Semantic Overlap Set Search
    Pranay Mundra (University of Rochester)*; Jianhao Zhang (Acho Software Inc.); Fatemeh Nargesian (University of Rochester); Nikolaus Augsten (University of Salzburg)
  • RS8, 5: Schema Matching using Pre-Trained Language Models
    Yunjia Zhang (University of Wisconsin-Madison); Avrilia Floratou (Microsoft)*; Joyce Cahoon (Microsoft); Subru Krishnan (Microsoft); Andreas C Mueller (Microsoft); Dalitso Banda (Microsoft); Fotis Psallidas (Microsoft); Jignesh Patel (UW – Madison)
Ballroom AB Research Session 9: Query Processing, Indexing, and Optimization I
[Session Chair: Aberer, EPFL]

  • RS9, 1: These Rows Are Made for Sorting and That’s Just What We’ll Do
    Laurens Kuiper (CWI)*; Hannes Mühleisen (Centrum Wiskunde & Informatica)
  • RS9, 2: MetricJoin: Leveraging Metric Properties for Robust Exact Set Similarity Joins
    Manuel Widmoser (University of Salzburg)*; Daniel Kocher (University of Salzburg); Nikolaus Augsten (University of Salzburg); Willi Mann (Celonis SE)
  • RS9, 3: Real-Time LSM-Trees for HTAP Workloads
    Hemant Saxena (SAP Labs)*; Lukasz Golab (University of Waterloo); Stratos Idreos (Harvard); Ihab F Ilyas (U. of Waterloo and Apple)
  • RS9, 4: Indexing for Near-Sorted Data
    Aneesh Raman (Boston University)*; Subhadeep Sarkar (Boston University); Matthaios Olma (Microsoft Research); Manos Athanassoulis (Boston University)
  • RS9, 5: S/C: Speeding up Data Materialization with Bounded Memory
    Zhaoheng Li (University of Illinois at Urbana-Champaign)*; Xinyu Pi (University of Illinois at Urbana-Champaign); Yongjoo Park (University of Illinois at Urbana-Champaign)
Platinum 3 Industry Session 4: Database and Data Management Systems
[Session Chair: Suyash Gupta, University of California, Berkeley]

  • IS4, 1: SUFS: A Generic Storage Usage Forecasting Service Through Adaptive Ensemble Learning
    Luming Sun (Renmin University of China)*; Shijin Gong (University of Science and Technology of China); Tieying Zhang (Bytedance); Fuxin Jiang (ByteDance Inc.); Zhibing Zhao (ByteDance); Jianjun Chen (Bytedance); Xinyu Zhang (Chinese Academy of Sciences)
  • IS4, 2: AIM: A practical approach to automated index management for SQL databases
    AIM: A practical approach to automated index management for SQL databases Ritwik Yadav (Facebook Inc)*; Satyanarayana R. Valluri (Meta Platforms, Inc.); Mohamed Zait (Meta)
  • IS4, 3: Firestore: The NoSQL Serverless Database for the Application Developer
    Ram Kesavan (Google Inc.)*; David Gay (Google, Inc.); Daniel O Thevessen (Google LLC); Jimit Shah (Google LLC); C Mohan (Tsinghua University)
  • IS4, 4: Dataset Similarity Detection for Global Deduplication in the DD File System
    Smriti Thakkar (Dell Technologies)*; Philip Shilane (Dell Technologies); Kao-Feng Hsieh (Dell Technologies); Tony Wong (Retired); Hetaben Saraiya (Dell Technologies); Zachary Tom (Dell Technologies)
  • IS4, 5: Cougar: A General Framework for Jobs Optimization In Cloud
    mingjie tang (Ant Financial)*; Bo Sang (AntGroup); Liu Jian (AntGroup); shuiwei Gu (Antgroup); xiaojun Zhan (AntGroup)
Platinum 2 Tutorial “Data Acquisition and Valuation in Data Markets” (Part II), Jian Pei (Duke University), Xiaohui Yu (York University)
15:30 16:00 Foyer Coffee break
16:00 18:00 Platinum 4 Research Session 10: Distributed, Parallel and P2P Data Management
[Session Chair: Suyash Gupta, University of California, Berkeley]

  • RS10, 1: Accelerating k-Core Decomposition by a GPU
    Akhlaque Ahmad (TED University); Lyuheng Yuan (University of Alabama at Birmingham); Da Yan (University of Alabama at Birmingham)*; Guimu Guo (Rowan University); Jieyang Chen (University of Alabama at Birmingham); Chengcui Zhang (The University of Alabama at Birmingham)
  • RS10, 2: Knock Out 2PC with Practicality Intact: a High-performance and General Distributed Transaction Protocol
    Ziliang Lai (Chinese University of Hong Kong)*; Hua Fan (Alibaba Group); Wenchao Zhou (Alibaba Group); Zhanfeng Ma (Alibaba Group); Xiang Peng (Alibaba); Feifei Li (Alibaba Group); Eric Lo (Chinese University of Hong Kong)
  • RS10, 3: FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge
    Yaxin Luopan (Beijing Institute of Technology ); Rui Han (Beijing Institute of Technology)*; Qinglong Zhang (Beijing Institute of Technology ); Chi Harold Liu (Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology); Lydia Chen (TU Delft)
  • RS10, 5: In-Situ Cross-Database Query Processing
    Haralampos Gavriilidis (Technische Universität Berlin)*; Kaustubh Beedkar (TU Berlin); Jorge Arnulfo Quiane Ruiz (IT University of Copenhagen); Volker Markl (Technische Universität Berlin)
  • RS10, 6: LCL: A Lock Chain Length-based Distributed Algorithm for Deadlock Detection and Resolution
    Zhenkun YANG (OceanBase); Chen Qian (OceanBase); Xuwang Teng (oceanbase); Fanyu Kong (Oceanbase); Fusheng Han (OceanBase); Quanqing Xu (OceanBase)*
Platinum 3 Research Session 11: Data Mining and Knowledge Discovery II
[Session Chair: Eduard Dragut, Temple Univertiy]

  • RS11, 1: IndiBits: Incremental Discovery of Relaxed Functional Dependencies using Bitwise Similarity (Best Runner-up Award)
    Bernardo Breve (University of Salerno); Loredana Caruccio (University of Salerno); Stefano Cirillo (University of Salerno)*; Vincenzo Deufemia (University of Salerno); Giuseppe Polese (University of Salerno)
  • RS11, 2: Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics
    Rui Liu (University of Chicago)*; Aaron J Elmore (University of Chicago); Michael Franklin (University of Chicago); Sanjay Krishnan (UChicago)
  • RS11, 3: SK-Gradient: Efficient Communication for Distributed Machine Learning with Data Sketch
    Jie Gui (Peking University)*; Yuchen Song (Peking University); Zezhou Wang (Peking University); Chenhong He (Peking University); Qun Huang (Peking University)
  • RS11, 4: Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise
    Cedric Renggli (UZH)*; Luka Rimanic (ETH Zurich); Luka Kolar (ETH Zurich); Wentao Wu (Microsoft Research); Ce Zhang (ETH)
  • RS11, 5: Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs
    Zishan Gu (Columbia University); Ke Zhang (The University of Hong Kong); Guangji Bai (Emory University); Zhao Liang (Emory University); Liang Chen (Sun Yat-sen University); Carl Yang (Emory University)*
  • RS11, 6: Data Ambiguity Profiling for the Generation of Training Examples
    Enzo Veltri (Università della Basilicata)*; Gilbert Badaro (EURECOM); Mohammed Saeed (Eurecom); Paolo Papotti (Eurecom)
Ballroom CD Research Session 12: Query Processing
[Session Chair: Arkaprava Saha, Nanyang Technological University]

  • RS12, 1: HistSketch: A Compact Data Structure for Accurate Per-Key Distribution Monitoring
    Jintao He (Peking University)*; Jiaqi Zhu (Peking University); Qun Huang (Peking University)
  • RS12, 2: Finding Simplex Items in Data Streams
    Zhuochen Fan (Peking University)*; Jiarui Guo (Peking University); Xiaodong Li (Peking University); Tong Yang (Peking University); Yikai Zhao (Peking University); Yuhan Wu (Peking University); Bin Cui (Peking University); Yanwei Xu (Huawei); Steve Uhlig (QMUL); Gong Zhang (Huawei)
  • RS12, 3: JanusAQP: Efficient Partition Tree Maintenance for Dynamic Approximate Query Processing
    Xi Liang (Databricks); Stavros Sintos (University of Illinois Chicago)*; Sanjay Krishnan (UChicago)
  • RS12, 4: Track Merging for Effective Video Query Processing
    Daren Chao (University of Toronto); Yueting Chen (York University ); Nick Koudas (University of Toronto)*; Xiaohui Yu (York University)
  • RS12, 5: KVSAgg: Secure Aggregation of Distributed Key-Value Sets
    Yuhan Wu (Peking University)*; Siyuan Dong (Peking University); Yi Zhou (Peking University); Yikai Zhao (Peking University); Fangcheng Fu (Peking University); Tong Yang (Peking University); Chaoyue Niu (Shanghai Jiao Tong University); Fan Wu (Shanghai Jiao Tong University); Bin Cui (Peking University)
  • RS12, 6: FASI: FPGA-friendly Subgraph Isomorphism on Massive Graphs
    Xunbin Su (Peking University); Yinnian Lin (Peking University); Lei Zou (Peking University)*
Ballroom AB Research Session 13: Benchmarking, Performance Modeling, Tuning, and Testing
[Session Chair: Anupam Sanghi, IBM Research]

  • RS13, 1: Database Deadlock Diagnosis for Large-scale ORM-based Web Applications
    Zhiyuan Dong (Shanghai Jiao Tong University)*; zhaoguo wang (Shanghai Jiao Tong University); Chuanwei Yi (Shanghai Jiao Tong University); xu xian (SJTU); Jinyuan Zhang (Shanghai Jiao Tong University); Jinyang Li (New York University); Haibo Chen (Shanghai Jiao Tong University)
  • RS13, 2: Sequence-Oriented DBMS Fuzzing
    Jie Liang (Tsinghua University)*; yaoguang chen (antgroup ); Zhiyong Wu (Tsinghua University); Jingzhou Fu (Tsinghua University); Mingzhe Wang (Tsinghua University; ShuimuYulin Co., LTD); Yu Jiang (Tsinghua University); Xiangdong Huang (Tsinghua University); Ting Chen (UESTC); Jiashui Wang (Ant Group); Jiajia Li (Ant Group)
  • RS13, 4: The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines
    Lennart Behme (Technische Universität Berlin)*; Saravanan Thirumuruganathan (QCRI, HBKU); Alireza Rezaei Mahdiraji (Glooko GmbH); Jorge Arnulfo Quiane Ruiz (IT University of Copenhagen); Volker Markl (Technische Universität Berlin)
  • RS13, 5: ENLD: Efficient Noisy Label Detection for Incremental Datasets in Data Lake
    Xuanke You (University of Science and Technology of China)*; Lan Zhang (University of Science and Technology of China); JunYang Wang (University of Science and Technology of China); Zhimin Bao (Tencent); Yunfei Wu (Tencent YouTu Lab); Shuaishuai Dong (tencent)
  • RS13, 6: Stable Tuple Embeddings for Dynamic Databases
    Jan M Tönshoff (RWTH Aachen University)*; Neta Friedman (Technion); Martin Grohe (RWTH Aachen University); Benny Kimelfeld (Technion)
  • EulerFD: An Efficient Double-Cycle Approximation of Functional Dependencies
    Qiongqiong Lin (Zhejiang University); yunfan gu (zhejiang university); Jingyan Sai (Zhejiang University); Jinfei Liu (Zhejiang University)*; Kui Ren (Zhejiang University); Li Xiong (Emory University); Tianzhen Wang (Alibaba Cloud); Yanbei Pang (Alibaba Cloud); Sheng Wang (Alibaba Group); Feifei Li (Alibaba Group)
Platinum 2 Panel
18:00 18:30
Break
18:30 21:00 Platinum Ballroom 5 & 6 TCDE Reception, Poster for all papers (including TKDE papers)

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April 6, 2023, Thursday
Start End Location Event
– 08:30 – Breakfast (on your own)
08:30 10:00 Grand Ballroom EF Open remarks
Keynote 3: “What makes database systems fast? An ablation study”, Prof. Thomas Neumann, Technical University of Munich, Germany
Session Chair: Sharad Mehrotra
10:00 10:30 Foyer Coffee break
10:30 12:20 Platinum 4 Research Session 14: Data Mining and Knowledge Discovery III
[Session Chair: Stefano Cirillo, University of Salerno]

  • RS14, 1: Influential Recommender System
    Haoren ZHU (Hong Kong University of Science and Technology)*; Hao Ge (The Hong Kong university of Science and Technology); Xiaodong Gu (Shanghai Jiao Tong University); Pengfei Zhao (BNU-HKBU United International College); Dik-Lun LEE (Hong Kong University of Science and Technology, Hong Kong)
  • RS14, 2: Ver: View Discovery in the Wild
    Yue Gong (The University of Chicago)*; Zhiru Zhu (University of Chicago); Sainyam Galhotra (University of Chicago); Raul Castro Fernandez (The University of Chicago)
  • RS14, 3: BERT-Trip: Effective and Scalable Trip Representation using Attentive Contrast Learning
    Ai-Te Kuo (Auburn University)*; Haiquan Chen (California State University, Sacramento); Wei-Shinn Ku (Auburn University)
  • RS14, 4: Efficient Deep Ensemble Inference via Query Difficulty-dependent Task Scheduling]
    Zichong Li (University of Science and Technology China); Lan Zhang (University of Science and Technology of China)*; Mu Yuan (University of Science and Technology of China); Miao-Hui Song (University of Science and Technology of China); Qi Song (University of Science and Technology of China)
  • RS14, 5: HyperCalm Sketch: One-Pass Mining Periodic Batches in Data Streams
    Zirui Liu (Peking University)*; Chaozhe Kong (Peking University); Kaicheng Yang (Peking University); Tong Yang (Peking University); Ruijie Miao (Peking University); Qizhi Chen (Peking University); Yikai Zhao (Peking University); Yaofeng Tu (ZTE Corporation); Bin Cui (Peking University)
  • RS14, 6: Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network
    Jinzhen Wang (New Jersey Institute of Technology); Xin Liang (University of Kentucky); Ben Whitney (Oak Ridge National Laboratory); Jieyang Chen (Oak Ridge National Laboratory); Qian Gong (Oak Ridge National Laboratory); Xubin He (Temple University); Lipeng Wan (Georgia State University); Scott Klasky (Oak Ridge National Laboratory); Norbert Podhorszki (Oak Ridge National Laboratory); Qing Liu (New Jersey Institute of Technology)*
Ballroom CD Research Session 15: Graphs II
[Session Chair: Esra Akbas, Georgia State University]

  • RS15, 1: Integrating Connection Search in Graph Queries
    Angelos Christos Anadiotis (Oracle); Ioana Manolescu (INRIA and Institut Polytechnique de Paris); Madhulika Mohanty (Inria Saclay)*
  • RS15, 2: Orchestrating Large-Scale SpGEMMs using Dynamic Block Distribution and Data Transfer Minimization on Heterogeneous Systems
    Taehyeong Park (Hanyang University)*; Seokwon Kang (Hanyang University); Myung-Hwan Jang (Hanyang University); Sang-Wook Kim (Hanyang University, Korea); Yongjun Park (Yonsei university)
  • RS15, 3: Parallel Filtered Graphs for Hierarchical Clustering
    Shangdi Yu (Massachusetts Institute of Technology)*; Julian Shun (MIT)
  • RS15, 4: VC-dimension and Rademacher Averages of Subgraphs, with Applications to Graph Mining
    Paolo Pellizzoni (ETH Zürich); Fabio Vandin (University of Padova)*
  • RS15, 5: Layer-refined Graph Convolutional Networks for Recommendation
    Xin Zhou (Nanyang Technological University)*; Donghui Lin (Okayama University); Yong Liu (Nanyang Technological University); Chunyan Miao (NTU)
  • RS15, 6: Most Probable Densest Subgraphs
    Arkaprava Saha (Nanyang Technological University)*; Xiangyu Ke (Zhejiang University, China); Arijit Khan (Aalborg University); Cheng Long (Nanyang Technological University)
Ballroom AB Research Session 16: IoT and Blockchain Data Management
[Session Chair: Saad EL JAOUHARI, Institut Supérieur d’Electronique de Paris]

  • RS16, 1: Parallelizing Stream Compression for IoT Applications on Asymmetric Multicores
    Xianzhi Zeng (SUTD); Shuhao Zhang (Singapore University of Technology and Design)*
  • RS16, 2: Non-Blocking Raft for High Throughput IoT Data
    Tian Jiang (Tsinghua University); Xiangdong Huang (Tsinghua University); Shaoxu Song (Tsinghua University)*; Chen Wang (” Tsinghua University, China”); Jianmin Wang (“Tsinghua University, China”); Ruibo Li (Alibaba); jincheng sun (non)
  • RS16, 3: RADAR: Reactive Concept Drift Management with Robust Variational Inference for Evolving IoT Data Streams
    Abdullah M Alsaedi (RMIT University)*; Nasrin Sohrabi (RMIT University); Redowan Mahmud (Curtin University); Zahir Tari (RMIT University)
  • RS16, 4: TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems
    Yuanzhe Zhang (Monash University); Shirui Pan (Griffith University); Jiangshan Yu (Monash University)*
  • RS16, 5: Reliable Transactions in Serverless-Edge Architecture
    Suyash Gupta (University of California, Berkeley)*; Sajjad Rahnama (University of California Davis); Erik Linsenmayer (University of California Davis); Faisal Nawab (University of California at Irvine); Mohammad Sadoghi (University of California, Davis)
  • Federated IoT Interaction Vulnerability Analysis
    Guangjing Wang (Michigan State University)*; Hanqing Guo (Michigan State University); Anran Li (Nanyang Technological University); Xiaorui Liu (North Carolina State University); Qiben Yan (Michigan State University)
Platinum 3 Industry Session 5: Data Mining and Knowledge Discovery III
[Session Chair: Pengfei Zhao, BNU-HKBU United International College]

  • IS5, 1: OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Model using Persistent Memory
    cheng chen (4Paradigm Inc.)*; yilin wang (4Paradigm Inc.); Jun Yang (4Paradigm Inc.); yiming liu (4Paradigm Inc.); mian lu (4Paradigm Inc.); zhao zheng (4Paradigm Inc.); Bingsheng He (National University of Singapore); Weng-Fai Wong (National University of Singapore); liang you (alibaba); penghao sun (alibaba); Yuping Zhao (Intel); fenghua hu (Intel); Andy Rudoff (Intel)
  • IS5, 2: Automatic Fusion Network for Cold-start CVR Prediction with Explicit Multi-Level Representation
    Jipeng Jin (Shanghai Jiao Tong University)*; Guangben Lu (Tencent); Sijia Li (Shanghai Jiao Tong Univesity); Xiaofeng Gao (Shanghai Jiao Tong University); Ao Tan (Tencent); Lifeng Wang (Tencent)
  • IS5, 3: ALT: An Automatic System for Long Tail Scenario Modeling
    Ya-Lin Zhang (Ant Group)*; Jun Zhou (Ant Services Group ); Yankun Ren (Ant Financial Services Group); Yue Zhang (Ant Group); Xinxing Yang (Ant Group); Meng Li (Ant Group); Qitao Shi (Ant Group); longfei li (Ant Financial Services Group )
  • IS5, 4: StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications
    Mariam BARRY (BNP Paribas*, Institut Polytechnique de Paris); Jacob MONTIEL (Amazon, University of Waikato); Albert BIFET (University of Waikato, Institut Polytechnique de Paris); Sameer WADKAR (Domino Data Lab); Nikolay MANCHEV (Domino Data Lab); Max HALFORD (Carbonfact), Raja CHIKY (3 DS OUTSCALE); Saad El JAOUHARI (ISEP), Katherine B SHAKMAN (Lyra); Joudi AL FEHAILY (BNP Paribas); Fabrice LE DEIT (BNP Paribas), Vinh-Thuy TRAN (BNP Paribas); Eric GUERIZEC (BNP Paribas)
  • IS5, 5: Automatic Synonym Extraction and Context-based Query Reformulation for Points-of-Interest Search
    Pengfei Li (Grabtaxi Holdings Pte. Ltd.)*; Gaurav Gaurav (Grab)
  • IS5, 6: Accelerating Cloud-Native Databases with Distributed PMem Stores
    Jason Sun (Bytedance )*; Haoxiang Ma (ByteDance); zhang li (Bytedance); Huicong Liu (bytedance); Haiyang Shi (ByteDance Inc); Shangyu Luo (ByteDance); kai Wu (Microsoft ); Kevin Bruhwiler (University of California Irvine); Cheng Zhu (Bytedance.com); Yuanyuan Nie (ByteDance Inc.); Jianjun Chen (Bytedance); Lei Zhang (ByteDance); Yuming Liang (ByteDance Inc.)
Platinum 2 Tutorial “Synthetic Data Generation for Enterprise DBMS” (Part I), Anupam Sanghi (IBM Research), Jayant Haritsa (Indian Institute of Science)
12:20 14:00 Marquis Center Ballroom Lunch
14:00 15:30 Platinum 4 Research Session 17: Data Mining and Knowledge Discovery IV
[Session Chair: John Paparrizos, University of Chicago]

  • RS17, 1: Efficient Parallel Mining of High-utility Itemsets on Multicore Processors
    Genki Kimura (The University of Tokyo)*; Yuto Hayamizu (The University of Tokyo); R.Uday Kiran (University of Aizu); Masaru Kitsuregawa (University of Tokyo, Japan); Kazuo Goda (Institute of Industrial Science, The University of Tokyo)
  • RS17, 2: Voting-based Opinion Maximization
    Arkaprava Saha (Nanyang Technological University)*; Xiangyu Ke (Zhejiang University, China); Arijit Khan (Aalborg University); Laks V.S. Lakshmanan (The University of British Columbia)
  • RS17, 3: Neural Node Matching for Multi-Target Cross Domain Recommendation
    Wujiang Xu (Xi’an Jiaotong University); Shaoshuai Li (Ant Group); Mingming Ha (MYbank, Ant Group); xiaobo guo (antgroup)*; Qiongxu Ma (Ant Group); Xiaolei Liu (Ant Group); Linxun Chen (Ant Group, MYBank); Zhenfeng Zhu (bjtu)
  • RS17, 4: Community Search: A Meta-Learning Approach
    Shuheng Fang (The Chinese University of Hong Kong)*; Kangfei Zhao (Tencent AI Lab); Guanghua Li (Wuhan University); Jeffrey Xu Yu (Chinese University of Hong Kong)
  • RS17, 5: Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting
    Chin-Yuan Yeh (National Taiwan University)*; Hsi-Wen Chen (National Taiwan University); De-Nian Yang (Academia Sinica); Wang-Chien Lee (Pennsylvania State University); Philip S Yu (UIC); Ming-Syan Chen (National Taiwan University)
Ballroom CD Research Session 18: Very Large Data Science Applications/pipelines
[Session Chair: Eliana Pastor, Politecnico di Torino]

  • RS18, 1: Metam: Goal-Oriented Data Discovery
    Sainyam Galhotra (University of Chicago)*; Yue Gong (The University of Chicago); Raul Castro Fernandez (The University of Chicago)
  • RS18, 2: Extreme-Aware Local-Global Attention for Spatio-Temporal Urban Mobility Learning
    Huiqun Huang (University of Connecticut); Suining He (The University of Connecticut)*; Mahan Tabatabaie (University of Connecticut)
  • RS18, 3: A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets
    Md Hasanur Rahman (University of Iowa)*; Sheng Di (Argonne National Laboratory, Lemont, IL); Kai Zhao (University of Alabama at Birmingham); Robert R Underwood (Argonne National Laboratory); Guanpeng Li (University of Iowa); Franck Cappello (Argonne National Laboratory, Lemont, IL)
  • RS18, 5: Forecasting COVID-19 Dynamics: Clustering, Generalized Spatiotemporal Attention, and Impacts of Mobility and Geographic Proximity
    Tong Shen (CMU)*; Yang Li (Carnegie Mellon University); José M. F. Moura (Carnegie Mellon University
Ballroom AB Research Session 19: Graphs III
[Session Chair: Bingbing Xu, University of Chinese Academy of Sciences]

  • RS19, 1: Distributed (α, β)-Core Decomposition over Bipartite Graphs
    Qing Liu (Zhejiang University); Xuankun Liao (Hong Kong Baptist University); Xin Huang (Hong Kong Baptist University); Jianliang Xu (Hong Kong Baptist University)*; Yunjun Gao (Zhejiang University)
  • RS19, 2: Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport
    Jianheng Tang (Hong Kong University of Science and Technology)*; Weiqi ZHANG (Hong Kong University of Science and Technology); Jiajin Li (Stanford University ); Kangfei Zhao (Tencent AI Lab); Fugee Tsung (Hong Kong University of Science and Technology); Jia Li (Hong Kong University of Science and Technology)
  • RS19, 4: Towards Higher-order Topological Consistency for Unsupervised Network Alignment
    Qingqiang Sun (University of New South Wales)*; Xuemin Lin (Shanghai Jiaotong University); Ying Zhang (University of Technology Sydney); Wenjie Zhang (University of New South Wales); Chaoqi Chen (The University of Hong Kong)
Platinum 3 Industry Session 6: Modern Topics in Data Management
[Session Chair: Mingjie Tang, Ant Financial]

  • IS6, 3: Scalable Online Interval Join on Modern Multicore Processors in OpenMLDB
    Hao Zhang (4Paradigm Inc.)*; Xianzhi Zeng (Singapore University of Technology and Design); Shuhao Zhang (Singapore University of Technology and Design); Xinyi Liu (4Paradigm Inc.); mian lu (4Paradigm Inc.); zhao zheng (4Paradigm Inc.)
Platinum 2 Tutorial
“Synthetic Data Generation for Enterprise DBMS” (Part II), Anupam Sanghi (IBM Research), Jayant Haritsa (Indian Institute of Science)
15:30 16:00 Foyer Coffee break
16:00 18:00 Grand Ballroom EF Special Track Paper session 2; Marketplace, economics, and insights
[Moderator: C. Mohan ]

  • SS2, 1: Understanding the Price of Data in Commercial Data Marketplaces
    Santiago Andrés Azcoitia (IMDEA Networks)*; Kostas Iordanou (Cyprus University of Technology); Nikolaos Laoutaris (IMDEA Networks)
  • SS2, 2: Amalur: Data Integration Meets Machine Learning
    Rihan Hai (TU Delft)*; Christos Koutras (TU Delft); Andra Ionescu (TU Delft); Ziyu Li (Delft University of Technology); wenbo sun (Technical University of Delft); Jessie van Schijndel (TU Delft); Yan Kang (Webank); Asterios Katsifodimos (TU Delft)
  • SS2, 3: SPA: Economical and Workload-Driven Indexing for Data Analytics in the Cloud
    Peter Boncz (Centrum Wiskunde & Informatica); Yannis Chronis (University of Wisconsin Madison); Jan Finis (Salesforce); Stefan Halfpap (Hasso Plattner Institute); Viktor Leis (Technische Universität München); Thomas Neumann (TUM); Anisoara Nica (SAP SE, Waterloo, Canada); Caetano Sauer (Salesforce)*; Knut Stolze (IBM); Marcin Zukowski (Snowflake)
  • SS2, 4: Automated Data Cleaning Can Hurt Fairness in ML-based Decision Making
    Shubha Guha (University of Amsterdam); Falaah Arif Khan (New York University); Julia Stoyanovich (New York University); Sebastian Schelter (University of Amsterdam)*

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April 7, 2023, Friday
Start End Location Event
– 08:30 – Breakfast (on your own)
08:30 10:20 Platinum 3 Research Session 20: Graphs IV
[Session Chair: Nan Tang, QCRI]

  • RS20, 2: Distributed Near-Maximum Independent Set Maintenance over Large-scale Dynamic Graphs
    XUBO WANG (University of Technology Sydney); Dong Wen (University of New South Wales)*; Wenjie Zhang (University of New South Wales); Ying Zhang (University of Technology Sydney); Lu Qin (UTS)
  • Complete Join Reordering for Null-Intolerant Joins
    TaiNing Wang (National University of Singapore)*; Yunpeng Niu (miHoYo Inc.); Chee-Yong Chan (National University of Singapore)
  • RS20, 3: Experimental Evaluation of Indexing Techniques for Shortest Distance Queries on Road Networks
    Shikha Anirban (Griffith University)*; Junhu Wang (Griffith University, australia); Saiful Islam (Griffith University)
  • RS20, 5: GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs
    Sheng Guan (Case Western Reserve University)*; Hanchao Ma (Case Western Reserve University); Mengying Wang (Case Western Reserve University ); Yinghui Wu (Case Western Reserve University)
Ballroom CD Research Session 21: Modern Hardware and In-Memory Database Systems
[Session Chair: Mohamed Ahmed Yassin Eltabakh, QCRI]

  • RS21, 1: ADAMANT: A Query Executor with Plug-In Interfaces for Easy Co-processor Integration
    Balasubramanian Gurumurthy (Otto-von-guericke University)*; David Broneske (Otto-von-Guericke University Magdeburg); Gabriel Campero Durand (University of Magdeburg); Gunter Saake (University of Magdeburg); Thilo Pionteck (Otto-von-Guericke University Magdeburg)
  • RS21, 2: EdgeNN: Efficient Neural Network Inference for CPU-GPU Integrated Edge Devices
    Chenyang Zhang (Renmin University of China)*; Feng Zhang (Renmin University of China); kuangyu chen (renmin university.); Mingjun Chen (Renmin University of China); Bingsheng He (National University of Singapore); Xiaoyong Du (Renmin University of China)
  • RS21, 3: EEPH: An Efficient Extendible Perfect Hashing for Hybrid PMem-DRAM
    Qi Chen (Harbin Institute of Technology, Shenzhen)*; Hao Hu (Harbin Institute of Technology, Shenzhen); Cai Deng (Harbin Institute of Technology, Shenzhen); Dingbang Liu ( Harbin Institute of Technology, Shenzhen); Shiyi Li (Harbin Institute of Technology, Shenzhen); Bo Tang (Southern University of Science and Technology); Ting Yao (Huawei, Shenzhen); Wen Xia (Harbin Institute of Technology,Shenzhen)
  • RS21, 4: GAMMA: A Graph Pattern Mining Framework for Large Graphs on GPU
    Lin Hu (Peking University); Lei Zou (Peking University)*; Tamer Özsu (University of Waterloo)
Ballroom AB Research Session 22: Query Processing, Indexing, and Optimization II
[Session Chair: Niv Dayan, University of Toronto]

  • RS22, 2: dLSM: An LSM-Based Index for Memory Disaggregation
    Ruihong Wang (Purdue University); Jianguo Wang (Purdue University)*; Prishita Kadam (Purdue University); Tamer Özsu (University of Waterloo); Walid G Aref (Purdue)
  • RS22, 4: Efficiently Answering Top-k Window Aggregate Queries: Calculating Coverage Number Sequences over Hierarchical Structures
    Jianqiu Xu (Nanjing University of Aeronautics and Astronautics)*; Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)
  • RS22, 5: CompressStreamDB: Fine-Grained Adaptive Stream Processing without Decompression
    Yu Zhang (Renmin University of China); Feng Zhang (Renmin University of China)*; Hourun Li (Renmin University of China); Shuhao Zhang (Singapore University of Technology and Design); Xiaoyong Du (Renmin University of China)
Platinum 2 Tutorial
“Graph Neural Networks for Tabular Data Learning”, Cheng-Te Li (National Cheng Kung University), Yu-Che Tsai (National Taiwan University), Jay Chiehen Liao (National Cheng Kung University)
10:20 11:00 Foyer Coffee break
11:00 12:30 Platinum 3 Research Session 23: Data Mining and Knowledge Discovery V
[Session Chair: Carl Yang,Emory University]

  • RS23, 1: Differential Aggregation against General Colluding Attackers
    Rong Du (PolyU)*; Qingqing Ye (Hong Kong Polytechnic University); Yue Fu (The Hong Kong Polytechnic University); Haibo Hu (Hong Kong Polytechnic University); Jin Li (Guangzhou University); Chengfang Fang (Huawei International); Jie Shi (Huawei International)
  • Enhancing Decentralized Federated Learning for Non-IID Data on Heterogeneous Devices
    Min Chen (University of Science and Technology of China); Yang Xu (University of Science and Technology of China)*; Hongli Xu (University of Science and Technology of China); Liusheng Huang (University of Science and Technology of China)
  • RS23, 2: Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks
    Carl Yang (Emory University)*; Jiawei Han (UIUC)
  • RS23, 3: A Stitch in Time Saves Nine: Enabling Early Anomaly Detection with Correlation Analysis
    Yihao Ang (National University of Singapore); Qiang Huang (National University of Singapore)*; Anthony Tung (NUS); Zhiyong Huang (NUS School of Computing)
  • RS23, 4: Mining Seasonal Temporal Patterns in Time Series
    Van Long Ho (Aalborg University)*; Nguyen Ho (Aalborg University); Torben Bach Pedersen (Aalborg University)
Ballroom CD Research Session 24: Query Processing, Indexing, and Optimization III
[Session Chair: Qiang Huang, National University of Singapore]

  • RS24, 2: ACEing the Bufferpool Management Paradigm for Modern Storage Devices
    Tarikul Islam Papon (Boston University)*; Manos Athanassoulis (Boston University)
  • RS24, 3: Lightweight-Yet-Efficient: Revitalizing Ball-Tree for Point-to-Hyperplane Nearest Neighbor Search
    Qiang Huang (National University of Singapore)*; Anthony Tung (NUS)
  • RS24, 4: REncoder: A Space-Time Efficient Range Filter with Local Encoder
    Ziwei Wang (Peking University); Zheng Zhong (Peking University); Jiarui Guo (Peking University); Yuhan Wu (Peking University); Haoyu Li (Peking University); Tong Yang (Peking University)*; Yaofeng Tu (ZTE Corporation); Huanchen Zhang (Tsinghua University); Bin Cui (Peking University)
  • RS24, 5: Finding Best Tuple via Error-prone User Interaction
    QIXU CHEN (HKUST); Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)*
Ballroom AB Research Session 25: Text, Semi-Structured Data, IR, Image, and Multimedia databases
[Session Chair: Yuankai Fan, Fudan University]

  • RS25, 1: Marshalling Model Inference In Video Streams
    Daren Chao (University of Toronto); Nick Koudas (University of Toronto)*; Xiaohui Yu (York University)
  • RS25, 2: Globally Aware Contextual Embeddings for Named Entity Recognition in Social Media Streams
    Satadisha Saha Bhowmick (Binghamton University)*; Eduard Dragut (Temple Univ.); Weiyi Meng ( Binghamton University)
  • RS25, 4: Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction
    Zetao Zheng (University of Electronic Science and Technology of China); Jie Shao (University of Electronic Science and Technology of China)*; Jia Zhu (Zhejiang Normal University); Heng Tao Shen (University of Electronic Science and Technology of China (UESTC))
Platinum 2 Tutorial
“User-Defined Functions in Modern Data Engines”, Yannis Foufoulas (Uninversity of Athens), Alkis Simitsis (Athena Research Center)

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Virtual Program

April 4th Tuesday 10:00PM-12:00AM (LA time GMT-8) – April 5th Wednesday 1:00PM-3:00PM (Beijing, HK time, GMT+8)
Start End Location Event
Session 1: Graphs, Networks, and Semistructured Data (I)
[Session Chair: Chenhao Ma, The Chinese University of Hong Kong, Shenzhen]

  • VS1, 1: Verification-Free Approaches to Efficient Locally Densest Subgraph Discovery
    Tran Ba Trung (Hanoi University of Science and Technology); Lijun Chang (The University of Sydney)*; Nguyen Tien Long (Hanoi University of Science and Technology); Kai Yao (The University of Sydney); Huynh Thi Thanh Binh (Hanoi University of Science and Technology)
  • VS1, 2: A Reachability Index for Recursive Label-Concatenated Graph Queries
    Chao Zhang (University of Waterloo)*; Angela Bonifati (Univ. of Lyon); Hugo Kapp (Oracle); Vlad Haprian (Oracle); Jean-Pierre Lozi (Inria)
  • VS1, 3: MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning
    Shangfei Zheng (Soochow University)*; Weiqing Wang (Monash University); JIanfeng Qu (Soochow University); Hongzhi Yin (The University of Queensland); Wei Chen (Soochow University); Lei Zhao (Soochow University)
  • VS1, 4: Explainable Hyperlink Prediction: A Hypergraph Edit Distance-Based Approach
    Hongchao Qin (Beijing Institute of Technology); Ronghua Li (Beijing Institute of Technology); Ye Yuan ( Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology)*; Yongheng Dai (Diankeyun Technologies Co. , Ltd.)
  • VS1, 5: Finer-Grained Engagement in Hypergraphs
    Qi Luo (Shandong University)*; Dongxiao Yu (Shandong University); Yu Liu (Shandong University); Yanwei Zheng (Shandong University); Xiuzhen Cheng (Shandong University); Xuemin Lin (Shanghai Jiao Tong University)
  • VS1, 6: Discovering Frequency Bursting Patterns in Temporal Graphs
    Qianzhen Zhang (National University of Defense Technology)*; Deke Guo (NUDT); Xiang Zhao (National University of Defence Technology); Long Yuan (Nanjing University of Science and Technology); Lailong Luo (National University of Defense Technology)
  • Fed-SC: One-Shot Federated Subspace Clustering over High-Dimensional Data
    Songjie Xie (ShanghaiTech University)*; Youlong Wu (ShanghaiTech University); Kewen Liao (Australian Catholic University); Lu Chen (Swinburne University of Technology); Chengfei Liu (Swinburne University of Technology); Haifeng Shen (Australian Catholic University); MingJian Tang (Westpac); Lu Sun (ShanghaiTech University)
Session 2: Recommendation and Explanation
[Session Chair: Ning Liu, Shandong University]

  • VS2, 1: DBAugur: An Adversarial-based Trend Forecasting System for Diversified Workloads
    Yuanning Gao (Shanghai Jiao Tong University); Xiuqi Huang (Shanghai Jiao Tong University); Xuanhe Zhou (Tsinghua); Xiaofeng Gao (Shanghai Jiaotong University)*; Guoliang Li (Tsinghua University); Guihai Chen (Shanghai Jiao Tong University)
  • VS2, 2: Sequential Recommendation with User Causal Behavior Discovery
    Zhenlei Wang (Renmin university of China); Xu Chen (Renmin University of China)*; Rui Zhou (Renmin University of China); Quanyu Dai (Noah’s Ark Lab, Huawei); Zhenhua Dong (Huawei Noah’s Ark Lab); Ji-Rong Wen (Renmin University of China)
  • VS2, 3: Jointly Attacking Graph Neural Network and its Explanations
    Wenqi FAN (The Hong Kong Polytechnic University)*; Han Xu (Michigan State University); Wei Jin (Michigan State University); Xiaorui Liu (North Carolina State University); Xianfeng Tang (Amazon); Suhang Wang (Pennsylvania State University); Qing Li (The Hong Kong Polytechnic University ); Jiliang Tang (Michigan State University); Jianping Wang (City University of Hong Kong); Charu Aggarwal (IBM)
  • VS2, 4: Leopard: A Black-Box Approach for Efficiently Verifying Various Isolation Levels
    Li Keqiang (East China Normal University)*; Siyang Weng (East China Normal University); Peiyuan Liu (East China Normal University); Lyu Ni (East China Normal University); Chengcheng Yang (KAUST); Rong Zhang (East China Normal University); Xuan Zhou (East China Normal University); Jianghang Lou (Alibaba); Gui Huang (Alibaba Inc.); Weining Qian (East China Normal University); Aoying Zhou (East China Normal University )
  • VS2, 5: Bayesian Negative Sampling for Recommendation
    Bin Liu (Huazhong University of Science and Technology); Bang Wang (Huazhong University of Science and Technology (HUST))*
  • VS2, 6: Personalized Diversification for Neural Re-ranking in Recommendation
    Weiwen Liu (Huawei Noah’s Ark Lab)*; Yunjia Xi (Shanghai Jiao Tong University); Jiarui Qin ( Shanghai Jiao Tong University); Xinyi Dai (Shanghai Jiao Tong University); Ruiming Tang (Huawei Noah’s Ark Lab); Shuai Li (Shanghai Jiao Tong University); Weinan Zhang (Shanghai Jiao Tong University); Rui Zhang (ruizhang.info)
Session 3: Industry Track: Recommendation and Search
[Session Chair: Zheng Wang, Nanyang Technological University]

  • VS3, 1: MAMDR: A Model Agnostic Learning Framework for Multi-Domain Recommendation
    Linhao Luo (Monash University)*; Yumeng Li (Alibaba Group); bu yu gao (Alibaba); Shuai Tang (Independent Researcher); Sinan Wang (Alibaba Group); Jiancheng Li (Alibaba Group); Tanchao Zhu (Alibaba Group); Jiancai Liu (Alibaba Group); Li Zhao (Zhejiang University); Shirui Pan (Griffith University)
  • VS3, 2: ResuFormer: Semantic Structure Understanding for Resumes via Multi-modal Pre-training
    Kaichun Yao (Baidu)*; Jingshuai Zhang (Baidu); Chuan Qin (Baidu); Xin Song (Baidu Inc.); Peng Wang (Baidu Inc.); Hengshu Zhu (Baidu); Hui Xiong (Hong Kong University of Science and Tech)
  • VS3, 3: Learned Probing Cardinality Estimation for High-Dimensional Approximate NN Search
    Bolong Zheng (Huazhong University of Science and Technology)*; ziyang yue (Huazhong University of Science and Technology); Qi Hu (Huazhong University of Science and Technology); Xiaomeng Yi (Zhejiang Lab); Xiaofan Luan (ZilliZ); Charles Xie (Zilliz); Xiaofang Zhou (The Hong Kong University of Science and Technology); Christian S Jensen (Aalborg University)
  • VS3, 4: Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce
    Zhen-Lin Chen (JD.com)*
  • VS3, 5: Sim2Rec: A Simulator-based Decision-Making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems
    Xiong-Hui Chen (Nanjing University)*; Bowei He (City University of Hong Kong); Yang Yu (Nanjing University); Qingyang Li (Didi Research America); Zhiwei (Tony) Qin (Lyft); Wenjie Shang (AI Labs, Didi Chuxing); Jieping Ye (Didi Chuxing); Chen Ma (City University of Hong Kong)
  • VS3, 6: Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression
    Lei Zhang (Shandong University)*; Xin Zhou (Nanyang Technological University); Zhiwei Zeng (Nanyang Technological University); Yiming Cao (Shandong University); Yonghui Xu (Shandong University); Mingliang Wang (Alibaba Group); xingyu wu (Alibaba Group); Yong Liu (Nanyang Technological University); Lizhen Cui (ShanDong University); Zhiqi Shen (NTU)
  • DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation
    Feng Zhu (Ant Group)*; mingjie zhong (antgroup); Xinxing Yang (Ant Group); longfei li (Ant Financial Services Group ); Lu Yu (Ant Group); Tiehua Zhang (Ant Group); Jun Zhou (Ant Financial); Chaochao Chen (Zhejiang University); Fei Wu (Zhejiang University, China); Guanfeng Liu (Macquarie University); Yan Wang (Macquarie University, Austrilia)
Session 4: Graphs Processing (I)
[Session Chair: Cheng Long, Nanyang Technological University]

  • VS4, 1: A Holistic Approach for Answering Logical Queries on Knowledge Graphs
    Yuhan Wu (East China Normal University); Yuanyuan Xu (Zhejiang Lab; University of New South Wales)*; Xuemin Lin (University of New South Wales); Wenjie Zhang (University of New South Wales)
  • VS4, 2: AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems
    Long Zheng (Huazhong University of Science and Technology)*; xiangyu ye (HUST); Haifeng Liu (Huazhong University of Science and Technology); Qinggang Wang (Huazhong University of Science and Technology); Yu Huang (Huazhong University of Science and Technology); Chuangyi Gui (Huazhong University of Science and Technology); Pengcheng Yao (Huazhong University of Science and Technology); Xiaofei Liao (HUST); Hai Jin (Huazhong University of Science and Technology); Jingling Xue (University of New South Wales)
  • VS4, 3: TDB: Breaking All Hop-Constrained Cycles in Billion-Scale Directed Graphs
    You Peng (University of New South Wales)*; Xuemin Lin (University of New South Wales); Michael R Yu (UNSW); Wenjie Zhang (University of New South Wales); Lu Qin (UTS)
  • VS4, 4: FLASH: A Framework for Programming Distributed Graph Processing Algorithms
    Xue Li (Alibaba Group)*; Ke Meng (Alibaba Group); Lu Qin (UTS); Longbin Lai (Alibaba Group); Wenyuan Yu (Alibaba Group); Zhengping Qian (Alibaba Group); Xuemin Lin (Shanghai Jiaotong University); Jingren Zhou (Alibaba Group)
  • VS4, 5: Scalable Algorithms for Densest Subgraph Discovery
    Wensheng Luo (Hunan University)*; Zhuo Tang (Hunan University); Yixiang Fang (School of Data Science, The Chinese University of Hong Kong, Shenzhen); Chenhao Ma (The Chinese University of Hong Kong, Shenzhen); Xu Zhou (Hunan university)
  • VS4, 6: VEND: Vertex Encoding for Edge Nonexistence Determination
    Youhuan Li (Hunan University)*; Hangyu zheng (Hunan University); Lei Zou (Peking University); Xiaosen Li (Tencent Inc.); li ziming (Hunan University); Pin Xiao (Tencent); Yangyu Tao (Tencent); Zheng Qin (Hunan University)
  • GCRL: Efficient Delivery Area Assignment for Last-mile Logistics with Group-based Cooperative Reinforcement Learning
    Hai Wang (Southeast University)*; Shuai Wang (Southeast University); Yu Yang (Lehigh University); Desheng Zhang (Rutgers University)
Session 5: Data Mining and Knowledge Discovery (I)
[Session Chair: Deqing Yang, Fudan University]

  • VS5, 1: Towards Explainable Table Interpretation Using Multi-view Explanations
    Yunjun Gao (Zhejiang University)*; Pengfei Wang (Zhejiang University); Xiaocan Zeng (Zhejiang University); Lu Chen (Zhejiang University); Yuren Mao (Zhejiang University); Ziheng Wei (Huawei Technologies Co., Ltd.); Miao Li (Huawei)
  • VS5, 2: Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting
    Shengnan Guo (Beijing Jiaotong University)*; Youfang Lin (Beijing Jiaotong University); Letian Gong (Beijing Jiaotong University); Chenyu Wang (Beijing Jiaotong University); Zeyu Zhou (Beijing Jiaotong University); Zekai Shen (Beijing Jiaotong University); YiHeng Huang (Beijing Jiaotong University); Huaiyu Wan (Beijing Jiaotong University)
  • VS5, 3: Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics
    Jiawei Jiang (Beihang University)*; Dayan Pan (Beihang University); Houxing Ren (Beihang University); Xiaohan Jiang (Beihang University); Chao Li (Beihang University); Jingyuan Wang (Beihang University)
  • VS5, 4: Toward Efficient Automated Feature Engineering
    Kafeng Wang (UCAS, SIAT CAS & UM)*; Pengyang Wang (University of Macau); Cheng-Zhong Xu (University of Macau)
  • VS5, 5: Toward a Unified Framework for Unsupervised Complex Tabular Reasoning
    zhenyu li (Tsinghua University)*; Xiuxing Li (Institute of Computing Technology, Chinese Academy of Sciences(ICT/CAS)); ZhiChao Duan (Tsinghua university); Bowen Dong (Tsinghua University); Ning LIU (Shandong University); Jianyong Wang (Tsinghua University)
  • VS5, 6: RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation
    Kangzheng Liu (Huazhong University of Science and Technology); Feng Zhao (Huazhong University of Science and Technology)*; Guandong Xu (University of Technology Sydney, Australia); Xianzhi Wang (University of Technology Sydney); Hai Jin (Huazhong University of Science and Technology)
  • Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning
    Qianru Zhang (The University of Hong Kong)*; ZHENG WANG (Nanyang Technological University); Cheng Long (Nanyang Technological University); Chao Huang (University of Hong Kong); S.M. Yiu (The University of Hong Kong); Yiding Liu (Baidu Inc.); Gao Cong (Nanyang Technological University); Jieming Shi (The Hong Kong Polytechnic University)
Session 6: AI for Database Systems
[Session Chair: Haodi Zhang, Shenzhen University]

  • VS6, 1: Learning from Noisy Crowd Labels with Logics
    Zhijun Chen (Beihang University)*; Jie Yang (TU Delft); Haoqian He (Beihang University); Hailong Sun (Beihang University, China); Pengpeng Chen (China’s aviation system engineering research institute)
  • VS6, 2: TSC-AutoML: Meta-learning for automatic Time Series Classification Algorithm Selection
    TianYu Mu (Harbin Institute of Technology); Hongzhi Wang (Harbin Institute of Technology)*; ShengHe Zheng (Harbin Institute of Technology); Zhiyu Liang (Harbin Institute of Technology); Chunnan Wang (HIT); Xinyue Shao (Harbin Institute of Technology); Zheng Liang (Harbin Institute of Technology)
  • VS6, 3: Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation
    Haolun Wu (McGill University)*; Yingxue Zhang (Huawei Noah’s Ark Lab); Chen Ma (City University of Hong Kong); Wei Guo (Huawei Noah’s Ark Lab); Ruiming Tang (Huawei Noah’s Ark Lab); Xue Liu (McGill University); Mark Coates (McGill University)
  • VS6, 4: Reinforcement Learning based Tree Decomposition for Distance Querying in Road Networks
    Bolong Zheng (Huazhong University of Science and Technology)*; Yong Ma (Huazhong University of Science and Technology); Jingyi Wan (Huazhong University of Science and Technology); yongyong gao (Huazhong University of Science and Technology); Kai Huang (HKUST); Xiaofang Zhou (The Hong Kong University of Science and Technology); Christian S Jensen (Aalborg University)
  • VS6, 5: Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
    Yusheng Zhao (Peking University)*; Xiao Luo (UCLA); Wei Ju (Peking University); Chong Chen (Peking University); Xian-Sheng Hua (Terminus Group); Ming Zhang (Peking University)
  • VS6, 6: Couper: Memory-Efficient Cardinality Estimation under Unbalanced Distribution
    xun song (NanJing University)*; Jiaqi Zheng (Nanjing University); Hao Qian (Nanjing University); Shiju Zhao (Nanjing University); hongxuan Zhang (NanJing University); xuntao Pan (NanJing University); Guihai Chen (Nanjing University)
  • Cutting Learned Index into Pieces: An In-depth Inquiry into Updatable Learned Indexes
    jiake ge (renmin university of china); Boyu Shi (renmin university of china); Yanfeng Chai (Renmin University of China); Yuanhui Luo (Renmin University of China); Yunda Guo (renmin university of china); Yinxuan He (renmin university of china); yunpeng chai (renmin university of china)*
Session 7: Virtual Demo
[Session Chair: Harry Kai-Ho Chan,The University of Sheffield]

  • VS7, 1: An Efficient Generative Data Imputation Toolbox with Adversarial Learning
    Yangyang Wu (Zhejiang University); Xiaoye Miao (Zhejiang University)*; Zilinghan Li (Zhejiang University); Shilan He (Zhejiang University); Xinkai Yuan (Zhejiang University); Jianwei Yin (Zhejiang University)
  • VS7, 2: DaRAV: A Tool for Visualizing De-Anonymization Risks
    Emmanouil Adamakis (Foundation for Research and Technology Hellas)*; Michael Boch (Research Studios Austria Forschungsgesellschaft mbH); Alexandros Bampoulidis (Vienna Reading Center, Department of Ophthalmology, Medical University of Vienna); George Margetis (FORTH-ICS); Stefan Gindl (Research Studios Austria Forschungsgesellschaft mbH); Constantine Stephanidis (FORTH-ICS)
  • VS7, 3: Traveling Back in Time: A Visual Debugger for Stream Processing Applications
    Timo Räth (TU Ilmenau)*
  • Example Searcher: A Spatial Query System via Example
    Jun Xuan Yew (Nanyang Technological University); Ningyi Liao (Nanyang Technological University )*; Dingheng Mo (Nanyang Technological University); Siqiang Luo (Nanyang Technological University)

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April 5th Wednesday, 10:00PM-12:00AM (LA time GMT-8) – April 6th Thursday 1:00PM-3:00PM (Beijing, HK time, GMT+8)
Start End Location Event
Session 8: Dynamic Graph Processing
[Session Chair: Xiuxing Li, Chinese Academy of Sciences(ICT/CAS)]

  • VS8, 1: CLDG: Contrastive Learning on Dynamic Graphs
    Yiming Xu (Xi’an Jiaotong University); Bin Shi (Xi’an jiaotong University)*; Teng Ma (Xi’an Jiaotong University); Bo Dong (Xi’an Jiaotong University); Haoyi Zhou (Beihang University); Qinghua Zheng (School of Electronic and Information Engineering, Xi’an Jiaotong University)
  • VS8, 2: Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams
    Kaixin Wang (Nanyang Technological University); Cheng Long (Nanyang Technological University)*; Da Yan (University of Alabama at Birmingham); Jie Zhang (Nanyang Technological University); H. V. Jagadish (University of Michigan
  • VS8, 3: Efficient Maximum Signed Biclique Identification
    Renjie Sun (East China Normal University)*; Chen Chen (University of Wollongong); Xiaoyang Wang (University of New South Wales); Wenjie Zhang (University of New South Wales); Ying Zhang (University of Technology Sydney); Xuemin Lin (University of New South Wales)
  • VS8, 4: Wind-Bell Index: Towards Ultra-Fast Relational Query for Graph Databases
    Rui Qiu (Peking University)*; Yi Ming (Peking University); Yisen Hong (Peking University); Haoyu Li (Peking University); Tong Yang (Peking University)
  • VS8, 5: Extracting Graphs Properties with Semantic Joins
    Yang Cao (University of Edinburgh)*; Wenfei Fan (Univ. of Edinburgh ); Wenzhi Fu (University of Edinburgh); Ruochun Jin (National University of Defense Technology); Weijie Ou (Shenzhen Institute of Computing Sciences); Wenliang Yi (Shenzhen Institute of Computing Sciences)
  • VS8, 6: Hop-Constrained s-t Simple Path Enumeration on Large Dynamic Graphs
    Jiujing Zhang (Guangzhou University); Shiyu Yang (Guangzhou University)*; Dian Ouyang (Guangzhou University); Fan Zhang (Guangzhou University); Xuemin Lin (Shanghai Jiao Tong University); Long Yuan (Nanjing University of Science and Technology)
  • Opponent-aware Order Pricing towards Hub-oriented Mobility Services
    Zuohan Wu (Sun Yat-sen University)*; Libin Zheng (Sun Yat-sen University); Chen Zhang (The Hong Kong Polytechnic University); Huaijie Zhu (Sun Yat-Sen University); Jian Yin (Sun Yat-Sen University); Di Jiang (WeBank)
Session 9: AI for Database Systems (II)
[Session Chair: Jianzhong Qi, The University of Melbourne]

  • VS9, 1: PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation
    Mingzhe Liu (Beihang University)*; Han Huang (Beihang University); Hao Feng (BUAA); Leilei Sun (Beihang University); Bowen Du (Beihang University); Yanjie Fu (University of Central Florida)
  • VS9, 2: PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning
    Jianing Zhang (Beijing Institute of Technology); Zhaojing Luo (National University of Singapore); Quanqing Xu (OceanBase); Meihui Zhang (Beijing Institute of Technology)* (AI forDB)
  • VS9, 3: COCLEP: Contrastive Learning-based Semi-Supervised Community Search
    Ling Li (Northeastern University)*; Siqiang Luo (Nanyang Technological University); Yuhai Zhao (Northeastern University); Caihua Shan (microsoft); Zhengkui Wang (Singapore Institute of Technology); Lu Qin (UTS) (AI for DB)
  • VS9, 4: Relational Message Passing for Fully Inductive Knowledge Graph Completion
    Yuxia Geng (Zhejiang University)*; Jiaoyan Chen (The University of Manchester); Jeff Z. Pan (The University of Edinburgh); Mingyang Chen (Zhejiang University); Song Jiang (Huawei Technologies Co., Ltd); Wen Zhang (Zhejiang University); Huajun Chen (Zhejiang University)
  • VS9, 5: Distribution-Regularized Federated Learning on Non-IID Data
    Yansheng Wang (Beihang University); Yongxin Tong (Beihang University)*; Zimu Zhou (City University of Hong Kong); Ruisheng Zhang (Beihang University); Sinno Pan (The Chinese University of Hong Kong); Lixin Fan (WeBank); Qiang Yang (Hong Kong UST)
  • Fast Unsupervised Graph Embedding via Graph Zoom Learning
    Ziyang Liu (Tsinghua University); Chaokun Wang (Tsinghua University)*; Yunkai Lou (Tsinghua University); Hao Feng (Tsinghua University)
  • LightTraffic: On Optimizing CPU-GPU Data Traffic for Efficient Large-scale Random Walks
    Yipeng Xing (University of Science and Technology of China); Yongkun Li (University of Science and Technology of China)*; Zhiqiang Wang (USTC); Yinlong Xu (University of Science and Technology of China ); John C. S. Lui (The Chinese University of Hong Kong)
Session 10 :Industry Track Data Mining and Knowledge Discovery
[Session Chair: Huiqun Huang, University of Connecticut]

  • VS10, 1: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction
    Jie Zhou (Meituan)*; Xianshuai Cao (Meituan); Wenhao Li (Meituan); Lin Bo (Meituan); Kun Zhang (Meituan); Chuan Luo (Beihang University); Qian Yu (Beihang University)
  • VS10, 2: REDE: Exploring Relay Transportation for Efficient Last-mile Delivery
    Wenjun Lyu (Rutgers Universiy)*; Haotian Wang (JD Logistic); Zhiqing Hong (Rutgers University); Guang Wang (Florida State University); Yu Yang (Lehigh University); Yunhuai Liu (Peking University); Desheng Zhang (Rutgers University)
  • VS10, 3: COME: Learning to Coordinate Crowdsourcing and Regular Couriers for Offline Delivery During Online Mega Sale Days
    Guanzhou Zhu (Beijing University of Posts and Telecommunications)*; Dong Zhao (Beijing University of Posts and Telecommunications); Yizong Wang (Beijing University of Posts and Telecommunications); Haotian Wang (JD Logistic); Desheng Zhang (Rutgers University); Huadong Ma (Beijing University of Posts and Telecommunications)
  • VS10, 4: FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration
    Zhihao Zeng (Zhejiang University); Yuntao Du (Zhejiang University); Ziquan Fang (Zhejiang University); Lu Chen (Zhejiang University); Shiliang Pu (Hikvision Research Institute); Guodong Chen (Hikvision Research Institute); Hui Wang (Hikvision Research Institute); Yunjun Gao (Zhejiang University)*
  • VS10, 5: SAMI: A Shape-Aware Cycling Map Inference Framework for Designated Driving Service (Best Industrial Paper Runner up)
    Wenyi Shen (East China Normal University); Wenyu Wu (East china normal university); Jiali Mao (East China Normal University)*; Jie Chen (East China Normal University); Shaosheng Cao (DiDi); Lisheng Zhao (Didi chuxing); Aoying Zhou (East China Normal University ); Lin Zhou (Didi Chuxing)
  • Who Would be Interested in Services? An Entity Graph Learning System for User Targeting
    dan yang (Ant Group)*; Binbin Hu (Ant Financial Services Group); Xiaoyan Yang (Ant group); Yue Shen (Ant Financial Services Group); Zhiqiang Zhang (Ant Group); Jinjie Gu (Ant Financial); Guannan Zhang (Ant Financial Services Group)
  • Construction and Applications of Billion-Scale Pre-trained Multimodal Business Knowledge Graph
    Shumin Deng (National University of Singapore)*; Chengming Wang (alibaba ); Zhoubo Li (Zhejiang University); Ningyu Zhang (Zhejiang University); zelin Dai (Alibaba); Hehong Chen (Alibaba); Feiyu Xiong (Alibaba Group); Ming Yan (Alibaba Group); Qiang Chen (Alibaba Group); Mosha Chen (Alibaba Group); Jiaoyan Chen (The University of Manchester); Jeff Z. Pan (The University of Edinburgh); Bryan Hooi (NUS); Huajun Chen (Zhejiang University)
  • LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction
    M Jiang (University of Science and Technology of China)*; Yang Zhang (University of Science and Technology of China); Yuan Gao (University of Science and Technology of China); Yansong Wang (Chery Fs); Fuli Feng (University of Science and Technology of China); Xiangnan He (University of Science and Technology of China)
Session 11: Spatial and Temporal Databases
[Session Chair: Haoyi Zhou, Beihang University]

  • VS11, 1: A Lightweight Framework for Fast Trajectory Simplification
    Ziquan Fang (Zhejiang University); Changhao He (Zhejiang University); Lu Chen (Zhejiang University); Danlei Hu (Zhejiang University); qichen sun (zhejiang university); linsen li (zju); Yunjun Gao (Zhejiang University)*
  • VS11, 2: LHMM: A Learning Enhanced HMM Model for Cellular Trajectory Map-matching
    Weijie Shi (Soochow University)*; Jiajie Xu (Soochow University); Junhua Fang (Soochow University); Pingfu Chao (Soochow University); An Liu (Soochow University); Xiaofang Zhou (The Hong Kong University of Science and Technology)
  • VS11, 3: RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer
    Yuqi Chen (Fudan University); Hanyuan Zhang (Fudan University); Weiwei Sun (Fudan University)*; Baihua Zheng (Singapore Management University)
  • VS11, 4: Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework
    Dingyuan Shi (Beihang University); Nan Zhou (buaa); Yongxin Tong (Beihang University)*; Zimu Zhou (City University of Hong Kong); Yi Xu (Beihang University); Ke Xu (Beihang University)
  • VS11, 5: Uncertainty Quantification for Traffic Forecasting: A Unified Approach
    Weizhu Qian (Aalborg University)*; Dalin Zhang (Aalborg University); Yan Zhao (Aalborg University); Kai Zheng (University of Electronic Science and Technology of China); James Yu (Southern University of Science and Technology)
  • VS11, 6: Skyline Micro-Cluster Query: A Novel and Practical Spatial Query
    Jing Lu (Northeastern University); Yuhai Zhao (Northeastern University)*; Zhengkui Wang (Singapore Institute of Technology); Guoren Wang (Beijing Institute of Technology)
Session 12: Graphs, Networks, and Semistructured Data (II)
[Session Chair: Kai Yao, he University of Sydney]

  • VS12, 1: Finding Top-k Important Edges on Bipartite Graphs: Ego-betweenness Centrality-based Approaches Tongfeng Weng (Hunan University)*; Xu Zhou (Hunan university); Yixiang Fang (School of Data Science, The Chinese University of Hong Kong, Shenzhen); Kian-Lee Tan (National University of Singapore); Kenli Li (Hunan University)
    Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph Song Yu (NorthEastern University); Shufeng Gong (NorthEastern University)*; Yanfeng Zhang (Northeastern University); Wenyuan Yu (Alibaba Group); Qiang Yin (Shanghai Jiao Tong University); Chao Tian (Chinese Academy of Sciences); Qian Tao (Alibaba Group); Yongze Yan (Northeastern University); Ge Yu (Northeast University); Jingren Zhou (Alibaba Group)
  • VS12, 2: AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network
    Guanghui Zhu (Nanjing University)*; zhu zhennan (Nanjing University); Wenjie Wang (Nanjing University); Zhuoer Xu (Nanjing University); Chunfeng Yuan (Nanjing University); Yihua Huang (Nanjing University)
  • VS12, 3: Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction
    Yufeng Zhang (Soochow University)*; Weiqing Wang (Monash University); Hongzhi Yin (The University of Queensland); Pengpeng Zhao (Soochow University); Wei Chen (Soochow University); Lei Zhao (Soochow University)
  • VS12, 4: A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection
    Congxi Xiao (University of Science and Technology of China); Jingbo Zhou (Baidu Inc.)*; Jizhou Huang (Baidu); Hengshu Zhu (Baidu); Tong Xu (University of Science and Technology of China); Dejing Dou (Baidu); Hui Xiong (The Hong Kong University of Science and Technology (Guangzhou))
  • VS12, 5: Efficient Cross Dynamic Task Assignment in Spatial Crowdsourcing
    Tianyue Ren (Hunan University)*; Xu Zhou (Hunan university); Kenli Li (Hunan University); Yunjun Gao (Zhejiang University); Ji Zhang (Zhejiang Lab); Keqin Li (State University of New York) (crowd sourcing)
  • Top-r keyword-based community search in attributed graphs
    Junhao Ye (Wuhan University); Yuanyuan Zhu (Wuhan University)*; Lu Chen (Zhejiang University)
Session 13: Data Visualization, Data Integration and Blockchain
[Session Chair: Jyoti Leeka, Microsoft]

  • Saguaro: An Edge Computing-Enabled Hierarchical Permissioned Blockchain
    Mohammad Javad Amiri (University of Pennsylvania)*; Ziliang Lai (Chinese University of Hong Kong); Liana Patel (Stanford University); Boon Thau Loo (Univ. of Pennsylvania); Eric Lo (Chinese University of Hong Kong); Wenchao Zhou (Georgetown University)
  • VS13, 1: Data Imputation for Sparse Radio Maps in Indoor Positioning
    Xiao Li (Roskilde University)*; Huan Li (Aalborg University); Harry Kai-Ho Chan (The University of Sheffield); Hua Lu (Roskilde University); Christian S Jensen (Aalborg University)
  • VS13, 2: Visualization Recommendation Through Visual Relation Learning and Visual Preference Learning
    Daomin Ji (RMIT); Hui Luo (RMIT University); Zhifeng Bao (RMIT University)*
  • VS13, 3: Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning
    Yukun Cao (USTC)*; Xike Xie (University of Science and Technology of China); Kexin Huang (USTC)
  • VS13, 4: On Sharding Across Heterogeneous Blockchains
    Yuechen Tao (HKUST)*; Bo Li (Hong Kong University of Science and Technology); Baochun Li (University of Toronto)
  • VS13, 5: SChain: Scalable Concurrency over Flexible Permissioned Blockchain
    Xiaodong Qi (East China Normal University); Zhihao Chen (East China Normal University); Haizhen Zhuo (Ant Group); Quanqing Xu (OceanBase); Chengyu Zhu (East China Normal University); Zhao Zhang (East China Normal University)*; Cheqing Jin (East China Normal University); Aoying Zhou (East China Normal University ); Ying Yan (Ant Group); Hui Zhang (Ant Group)
  • VS13, 6: Scaling Blockchain Consensus via a Robust Shared Mempool
    Fangyu Gai (University of British Columbia)*; Jianyu Niu (Southern University of Science and Technolkogy); Ivan Beschastnikh (University of British Columbia); Chen Feng (University of British Columbia); Sheng Wang (Alibaba Group)

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April 6th, Thursday, 10:00PM-12:10AM (LA time GMT-8) – April 7th Friday 1:00PM-3:10PM (Beijing, HK time, GMT+8)
Start End Location Event
Session 14: Data Mining and Knowledge Discovery (II)
[Session Chair: Zhaojing Luo, National University of Singapore]

  • VS14, 1: Multimodal Biological Knowledge Graph Completion via Triple Co-attention Mechanism
    Derong Xu (University of Science and Technology of China); jingbo zhou (Baidu Research)*; Tong Xu (University of Science and Technology of China); yuan xia (baidu); Ji Liu (Baidu Research); Enhong Chen (University of Science and Technology of China); Dejing Dou (Baidu)
  • VS14, 2: Relational Message Passing for Fully Inductive Knowledge Graph Completion
    Yuxia Geng (Zhejiang University)*; Jiaoyan Chen (The University of Manchester); Jeff Z. Pan (The University of Edinburgh); Mingyang Chen (Zhejiang University); Song Jiang (Huawei Technologies Co., Ltd); Wen Zhang (Zhejiang University); Huajun Chen (Zhejiang University)
  • VS14, 3: Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation
    xinyu du (Soochow University); Huanhuan Yuan (Soochow University); Pengpeng Zhao (Soochow University)*; Junhua Fang (Soochow University); Guanfeng Liu (Macquarie University); Yanchi Liu (Rutgers University); Victor S. Sheng (Texas Tech University); Xiaofang Zhou (The Hong Kong University of Science and Technology)
  • VS14, 4: A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation
    Huizi Wu (Shanghai University of Finance and Economics); Hui Fang (Shanghai University of Finance and Economics)*; Zhu Sun (A*STAR); Cong Geng (Shanghai University of Finance and Economics); Xinyu Kong (Ant Group); Yew Soon Ong (Nanyang Technological University, Nanyang View, Singapore)
  • VS14, 5: Pricing Prediction Services for Profit Maximization with Incomplete Information
    Huanhuan Peng (Zhejiang University); Xiaoye Miao (Zhejiang University)*; Lu Chen (Zhejiang University); Yunjun Gao (Zhejiang University); Jianwei Yin (Zhejiang University)
  • VS14, 6: UADB: Unsupervised Anomaly Detection Booster
    Hangting Ye (Jilin University)*; Zhining Liu (University of Illinois Urbana-Champaign); Xinyi Shen (Renmin University of China); Cao Wei (Microsoft); Shun Zheng (Microsoft Research Asia); Xiaofan Gui (Microsoft); Huishuai Zhang (Microsoft); Yi Chang (Jilin University); Jiang Bian (Microsoft Research)
  • PSPC: Efficient Parallel Shortest Path Counting on Large-Scale Graphs
    You Peng (The Chinese University of Hong Kong)*; Jeffrey Xu Yu (Chinese University of Hong Kong); Sibo Wang (The Chinese University of Hong Kong)
Session 15: Query Processing and Modern Hardware Database Systems
[Session Chair: Walid G. Aref, Purdue]

  • VS15, 1: Semi-supervised Learning with Network Embedding on Ambient RF Signals for Geofencing Services
    Weipeng Zhuo (The Hong Kong University of Science and Technology)*; Ka Ho CHIU (HKUST); Jierun Chen (The Hong Kong University of Science and Technology); Jiajie Tan ( The Hong Kong University of Science and Technology); Edmund Sumpena (Westview High School); S.-H. Gary Chan (The Hong Kong University of Science and Technology); Sangtae Ha (University of Colorado Boulder); Chul-Ho Lee (Texas State University)
  • VS15, 2: HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management
    Qiange Wang (National University of Singapore)*; Xin Ai (Northeastern University); Yanfeng Zhang (Northeastern University); Jing Chen (Northeastern University); Ge Yu (Northeast University)
  • VS15, 3: Co-Utilizing SIMD and Scalar to Accelerate the Data Analytics Workloads
    Zewen Sun (East China Normal University); Zhifang Li (East China Normal University ); Chuliang Weng (East China Normal University)*
  • VS15, 4: Demystifying Bitcoin Address Behavior via Graph Neural Networks
    Zhengjie Huang (Zhejiang University)*; Yunyang Huang (UESTC); Peng Qian (Zhejiang University); Jianhai Chen (Zhejiang University); Qinming He (Zhejiang University)
  • VS15, 5: Redesigning High-Performance LSM-based Key-Value Stores with Persistent CPU Caches
    yijie zhong (xiamen university); Zhirong Shen (Xiamen University)*; Zixiang Yu (Xiamen University); Jiwu Shu (shujw@tsinghua.edu.cn)
  • VS15, 6: Towards Capacity-Aware Broker Matching: From Recommendation to Assignment
    Shuyue Wei (Beihang University); Yongxin Tong (Beihang University)*; Zimu Zhou (City University of Hong Kong); Qiaoyang Liu (Beihang University); Lulu Zhang (Beike); Yuxiang Zeng (Hong Kong University of Science and Technology); Jieping Ye (Beike & University of Michigan)
  • Ziziphus: Scalable Data Management Across Byzantine Edge Servers
    Mohammad Javad Amiri (University of Pennsylvania)*; Daniel Shu (University of California Santa Barbara); Sujaya Maiyya (UCSB); Divy Agrawal (University of California, Santa Barbara); Amr El Abbadi (UC Santa Barbara)
Session 16 :Industry Track: Query Processing
[Session Chair: Jyoti Leeka, Microsoft]

  • VS16, 1: Efficient and Effective Path Compression in Large Graphs
    Yilun Huang (University of Technology Sydney)*; Dong Wen (University of New South Wales); Longbin Lai (Alibaba Group); Zhengping Qian (Alibaba Group); Ying Zhang (University of Technology Sydney); Lu Qin (UTS)
  • VS16, 2: M2G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction
    Tianyue Cai (Beijing Jiaotong University)*; Huaiyu Wan (Beijing Jiaotong University); Fan Wu (Cainiao Network); Haomin Wen (Beijing Jiao University); Shengnan Guo (Beijing Jiaotong University); lixia wu (Cainiao Ltd. ); Haoyuan Hu (Cainiao Network); Youfang Lin (Beijing Jiaotong University)
  • VS16, 3: UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing
    Qifang Zhao (Alibaba)*; Tianyu Li (Alibaba); Meng Du (Alibaba); Yu Jiang (Alibaba); Qinghui Sun (Alibaba Group); Zhongyao Wang (Alibaba Group); Hong Liu (Alibaba); Huan Xu (Alibaba Group)
  • VS16, 4: PM-Blade: A Persistent Memory Augmented LSM-tree Storage for Database
    Yinan Zhang (East China Normal University); Huiqi Hu (East China Normal University)*; Xuan Zhou (East China Normal University); Enlong Xie (Meituan); Hongdi Ren (Meituan); Le Jin (Meituan)
  • VS16, 5: Continual Causal Inference with Incremental Observational Data
    Zhixuan Chu (Ant Group)*; Ruopeng Li (Ant Group); Stephen Rathbun (University of Georgia); Sheng Li (University of Virginia)
  • Backward-Sort for Time Series in Apache IoTDB
    Zhang Xiaojian (Tsinghua University); Hongyin Zhang (Tsinghua University); Shaoxu Song (Tsinghua University)*; Xiangdong Huang (Timecho Limited); Chen Wang (Timecho Limited); Jianmin Wang (“Tsinghua University, China”)
  • InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs
    Dalong Zhang (Ant Financial Services Group)*; Xianzheng Song (Ant Financial Services Group); Zhiyang Hu (Ant Financial Services Group); Yang Li (Ant Financial Services Group); Miao Tao (Ant Financial Services Group); Binbin Hu (Ant Financial Services Group); Lin Wang (Ant Financial); Zhiqiang Zhang (Ant Group); Jun Zhou (Ant Financial)
Session 17: Graph Processing (II)
[Session Chair: Wentao Li, HKUST-GZ]

  • VS17, 1: When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
    Yuchen Fang (Beijing University of Posts and Telecommunications)*; Yanjun Qin (Beijing University of Posts and Telecommunications); Haiyong Luo (Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences); Fang Zhao (School of Software Engineering, Beijing University of Posts and Telecommunications); Bingbing Xu ( Institute of Computing Technology,University of Chinese Academy of Sciences); Liang Zeng (Tsinghua University); Chenxing Wang (Beijing University of Posts and Telecommunications)
  • VS17, 2: Neighborhood Skyline on Graphs: Concepts, Algorithms and Applications
    Qi Zhang (Beijing Institute of Technology)*; Ronghua Li (Beijing Institute of Technology); Hongchao Qin (Beijing Institute of Technology); Yongheng Dai (Diankeyun Technologies Co. , Ltd.); Ye Yuan ( Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology)
  • VS17, 3: Minimizing the Influence of Misinformation via Vertex Blocking
    Jiadong Xie (University of New South Wales); Fan Zhang (Guangzhou University)*; Kai Wang (Shanghai Jiao Tong University); Xuemin Lin (University of New South Wales); Wenjie Zhang (University of New South Wales)
  • VS17, 4: Efficiently Answering Quality Constrained Shortest Distance Queries in Large Graphs
    You Peng (University of New South Wales)*; Zhuo Ma (University of New South Wales ); Wenjie Zhang (University of New South Wales); Xuemin Lin (University of New South Wales); Ying Zhang (University of Technology Sydney); Xiaoshuang Chen (University of New South Wales)
  • VS17, 5: Optimizing Graph Partition by Optimal Vertex-Cut: A Holistic Approach
    Wenwen Qu (East China Norm University)*; Weixi Zhang (Huawei Technologies Co., Ltd); Ji Cheng (Huawei Technologies Co., Ltd); Chaorui Zhang (HUAWEI); Wei Han (Huawei Technologies Co., Ltd); bo bai (Huawei Technologies Co., Ltd); Chen Zhang (The Hong Kong Polytechnic University); Liang He (ECNU); Xiaoling Wang (East China Normal University)
  • VS17, 6: Disentangled Graph Social Recommendation
    Lianghao Xia (University of Hong Kong); Yizhen Shao (South China University of Technology); Chao Huang (University of Hong Kong); Yong Xu (South China University of Technology); Huance Xu (South China University of Technology); Jian Pei (Simon Fraser University)
  • Disentangled Graph Social Recommendation
    Lianghao Xia (University of Hong Kong); Yizhen Shao (South China University of Technology); Chao Huang (University of Hong Kong); Yong Xu (South China University of Technology); Huance Xu (South China University of Technology); Jian Pei (Simon Fraser University)
  • Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices
    Qiying Pan (Shanghai Jiao Tong University); Yifei Zhu (Shanghai Jiao Tong University)*; Lingyang Chu (McMaster University)
Session 18: Data Mining and Knowledge Discovery (III)
[Session Chair: Wenjie Zhang, University of New South Wales]

  • VS18, 1: Group Buying Recommendation Model Based on Multi-task Learning
    Shuoyao Zhai (Fudan University); Baichuan Liu (Fudan University); Deqing Yang (Fudan University)*; Yanghua Xiao (Fudan University)
  • VS18, 2: Incremental Learning for Multi-Interest Sequential Recommendation (Best Paper Award)
    Zhikai Wang (shanghai jiao tong unversity); Yanyan Shen (Shanghai Jiao Tong University)*
  • VS18, 3: DBCatcher: A Cloud Database Online Anomaly Detection System based on Indicator Correlation
    Guangyu Zhang (Huazhong University of Science and Technology)*; Chunhua Li (Huazhong University of Science and Technology); Ke Zhou (Huazhong University of Science and Technology); Li Liu (Huazhong University of Science and Technology); Ce Zhang (ETH); Wancheng Chen (Huazhong University of Science and Technology); Haotian Fang (Huazhong University of Science and Technology); Bin Cheng (Tencent); Jie Yang (tencent); Jiashu Xing (tencent)
  • VS18, 4: Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution
    Yan Li (Zhejiang university); Xinjiang Lu (Baidu Inc.)*; Haoyi Xiong (Baidu Research); Tang jian (Department of Energy and Power Engineering, Tsinghua University, Beijing); su jiantao (China Longyuan Power Group Corporation Limited); Bo Jin (Dalian University of Technology); Dejing Dou (Baidu)
  • VS18, 5: Online Pricing Strategy Achieving Vanishing Regret for Shipping Container Pricing with Limited Inventory
    Yucen Gao (Shanghai Jiao Tong University); Xikai Wei (Shanghai Jiao Tong University); Xi Jing (Shanghai Jiao Tong University); Yangguang Shi (Shandong University); Xiaofeng Gao (Shanghai Jiaotong University)*; Guihai Chen (Shanghai Jiao Tong University)
  • VS18, 6: A Bayesian Graph Neural Network for EEG Classification — A Win-Win on Performance and Interpretability
    Xiaojun Ning (Beijing Jiaotong University); Jing Wang (Beijing Jiaotong University)*; Wangjun Shi (Beijing Jiaotong University); Youfang Lin (Beijing Jiaotong University)
  • Contrastive Trajectory Similarity Learning with Dual-Feature Attention
    Yanchuan Chang (The University of Melbourne); Jianzhong Qi (The University of Melbourne)*; Yuxuan Liang (National University of Singapore); Egemen Tanin (University of Melbourne)
Session 19:: Approximate Query Processing, Exploration and Outlier Detection
[Session Chair: Xiang Lian, Kent State University]

  • VS19, 2: SASPAR: Shared Adaptive Stream Partitioning
    Jeyhun Karimov (Huawei)*; Hans-Arno Jacobsen (University of Toronto)
  • VS19, 3: PrivNUD: Effective Range Query Processing under Local Differential Privacy
    Ning Wang (Ocean University of China)*; Yaohua Wang (Ocean University of China); Zhigang Wang (Ocean University of China); Jie Nie (Ocean University of China); Zhiqiang Wei (Ocean University of China); Peng Tang (Shandong University); Yu Gu (Northeastern University); Ge Yu (Northeast University)
  • VS19, 4: Double Hierarchical Labeling Shortest Distance Querying in Time-dependent Road Networks
    Tangpeng Dan (School of Information, Renmin University of China)*; Xiao Pan (Shijiazhuang Tiedao University); Bolong Zheng (Huazhong University of Science and Technology); Xiaofeng Meng (Renmin University of China)
  • VS19, 5: Selecting Sub-tables for Data Exploration
    Kathy Razmadze (Tel Aviv University)*; Yael Amsterdamer (Bar-Ilan university ); Susan B Davidson (University of Pennsylvania); Tova Milo (Tel Aviv University); Amit Somech (Bar-Ilan University)
  • Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd
    Haodi Zhang (Shenzhen University)*; Wenxi Huang (Shenzhen University); Zhenhan Su (Shenzhen University); Junyang Chen (Shenzhen University); Di Jiang (WeBank); Lixin Fan (WeBank); Chen Zhang (The Hong Kong Polytechnic University); Defu Lian (University of Science and Technology of China); Kaishun Wu (Shenzhen University)
  • Workload-Aware Log-Structured Merge Key-Value Store for NVM-SSD Hybrid Storage
    Lixiang Chen (East China Normal University); Ruihao Chen (East China Normal University)*; Chengcheng Yang (East China Normal University); Yuxing Han (ByteDance); Rong Zhang (East China Normal University); Xuan Zhou (East China Normal University); Peiquan Jin (University of Science and Technology of China); Weining Qian (East China Normal University)
  • A Rule-based Decision System for Financial Applications.
    Meng Li (Ant Group)*; Jun Zhou (Ant Services Group ); Lu Yu (Ant Group); Xiaoguang Huang (Ant Group); Yongfeng Gu (Ant Group); Christopher Ding (Ant Group); Hao Ding (Ant Group); longfei li (Ant Financial Services Group )
Session 20: Graphs, Networks, and Semistructured Data (III)
[Session Chair: Xiaoye Miao, Zhejiang University]

  • VS20, 1: Efficiently Sampling and Estimating Hypergraphs By Hybrid Random Walk
    Lingling Zhang (Beijing Institute of Technology)*; Zhiwei Zhang (Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology); Ye Yuan ( Beijing Institute of Technology)
  • VS20, 2: Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs
    Ziqi Yin (Nanyang Technological University); Qi Zhang (Beijing Institute of Technology); Wentao Zhang (Peking University); Ronghua Li (Beijing Institute of Technology)*; Guoren Wang (Beijing Institute of Technology)
  • VS20, 3: Index-Based Biclique Percolation Communities Search on Bipartite graphs
    Yiwei Zhao (East Normal China University); Zi Chen (East China Normal University)*; Long Yuan (Nanjing University of Science and Technology); Xuemin Lin (University of New South Wales); Kai Wang (Shanghai Jiao Tong University)
  • VS20, 4: Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method
    Yihong Huang (East China Normal University); Liping Wang (ECNU)*; Fan Zhang (Guangzhou University); Xuemin Lin (University of New South Wales)
  • VS20, 5: HGMatch: A Match-by-Hyperedge Framework for Efficient and Parallel Subhypergraph Matching
    Zhengyi Yang (University of New South Wales)*; Wenjie Zhang (University of New South Wales); Xuemin Lin (Antai College of Economics & Management, Shanghai Jiao Tong University); Ying Zhang (University of Technology Sydney); Shunyang Li (University of New South Wales)
  • VS20, 6: Towards a GML-Enabled Knowledge Graph Platform
    Hussein Shahata Abdallah (Concordia University)*; Essam Mansour (Concordia University)
  • Instant Representation Learning for Recommendation over Large Dynamic Graphs
    Cheng Wu (Tsinghua University); Chaokun Wang (Tsinghua University)*; Jingcao Xu (Tsinghua University); ZiWei Fang (Tsinghua University); Tiankai Gu (Alibaba Group); Changping Wang (Kuai shou); Yang Song (Kuaishou Inc); Kai Zheng (Kuaishou); Xiaowei Wang (Beijing Kuaishou Technology Co., Ltd.); Guorui Zhou (Kuaishou Inc)

“*” denotes the corresponding author

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