Session 1     Session 2     Session 3     Session 4     Session 5     Session 6   
Session 7     Session 8     Session 9     Session 10    Session 11    Session 12 
Session 13    Session 14    Session 15    Session 16    Session 17    Session 18    
Session 19    Session 20    Session 21    Session 22    Session 23    Session 24 
Session 25    Session 26    Session 27    Session 28    Session 29    Session 30  
Session 31    Session 32    Session 33    Session 34    
Special Track Paper Session 1  Special Track Paper Session 2
TKDE Poster Session  



April 4, 2023, Tuesday, 10:30AM – 12:20PM

Session 1

Research Session 1: AI for DB I

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)

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.)

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)

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)

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.)

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)

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Session 2

Research Session 2: Crowdsourcing

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)

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)

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)

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)

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)

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)

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Session 3

Research Session 3: Spatial and Temporal Databases I

Matrix Factorization with Landmarks for Spatial Data

Chenguang Fang (Tsinghua University); Yinan Mei (Tsinghua University); Shaoxu Song (Tsinghua University)*

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)*

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)

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)

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)

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)

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Session 4

Research Session 4:  Graphs I

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)

IFCA: Index-Free Community-Aware Reachability Processing Over Large Dynamic Graphs

Yue Pang (Peking University)*; Lei Zou (Peking University); Yu Liu (Peking University)

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)

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)

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)

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)

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April 4, 2023, Tuesday, 14:00PM – 15:30PM

Session 5

Research Session 5: Explainability, Fairness, and Trust

Detection of Groups With Biased Representation in Ranking

Yuval Moskovitch (Ben Gurion University)*; Jinyang Li (University of Michigan); H. V. Jagadish (University of Michigan)

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)

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)

On Explaining Confounding Bias

Brit Youngmann (MIT)*; Michael Cafarella (MIT CSAIL); Yuval Moskovitch (University of Michigan); Babak Salimi (University of California at San Diego)

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)

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Session 6

Research Session 6:  Database technology for Blockchains

TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems

Yuanzhe Zhang (Monash University); Shirui Pan (Griffith University); Jiangshan  Yu (Monash University)*

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)

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)

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)

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)

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Session 7

Research Session 7: Graphs II

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)

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)

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)

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)

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)

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Session 8

Research Session 8: Order Pricing, Data Visualization and Interactive Data Search and Exploration

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 )

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)

TSEXPLAIN: Explaining Aggregated Time Series by Surfacing Evolving Contributors

Yiru Chen (Columbia University)*; Silu Huang (Microsoft Research)

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)

Probabilistic Majority Rule-Based Group Recommendation

Karim Benouaret (Univ Lyon, Université Claude Bernard Lyon 1, CNRS, LIRIS)*; Kian-Lee Tan (National University of Singapore)

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April 4, 2023, Tuesday, 16:00PM– 17:30PM

Special Track Paper Session 1

Special Track Paper session 1; Challenging the past and New Challenges for the future

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)

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)

Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics

Viktor Sanca (EPFL)*; Anastasia Ailamaki (EPFL)

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)

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April 5, 2023, Wednesday, 10:30AM– 12:20PM

Session 9

Research Session 9: Graphs III

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)

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)

VEND: Vertex Encoding for Edge Nonexistence Determination

Youhuan Li (Hunan University)*; Hangyu Zheng (Hunan University); Lei Zou (Peking University); Xiaosen Li (Tencent Inc.); Ziming Li(Hunan University); Pin Xiao (Tencent); Yangyu Tao (Tencent); Zheng Qin (Hunan University)

Fast Unsupervised Graph Embedding via Graph Zoom Learning

Ziyang Liu (Tsinghua University); Chaokun Wang (Tsinghua University)*; Yunkai Lou (Tsinghua University); Hao Feng (Tsinghua University)

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)

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)

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Session 10

Research Session 10: Data Mining and Knowledge Discovery I

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)

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)

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)

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)*

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)

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)

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Session 11

Research Session 11: Distributed, Parallel and P2P Data Management

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)

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)

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)

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)

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)

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)*

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Session 12

Research Session 12: Information Integration and Data Quality

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)

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)

Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and Preparation

Runhui Wang (Rutgers University); Yuliang Li (Megagon Labs)*; Jin Wang (Megagon Labs)

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)

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)

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)

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Session 13

Research Session 13: Query Processing, Indexing, and Optimization I

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)

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)

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)

Indexing for Near-Sorted Data

Aneesh Raman (Boston University)*; Subhadeep Sarkar (Boston University); Matthaios Olma (Microsoft Research); Manos Athanassoulis (Boston University)

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)

Complete Join Reordering for Null-Intolerant Joins

TaiNing Wang (National University of Singapore)*; Yunpeng Niu (miHoYo Inc.); Chee-Yong Chan (National University of Singapore)

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April 5, 2023, Wednesday, 14:00 – 15:30

Session 14

Research Session 14: Graphs IV

Integrating Connection Search in Graph Queries

Angelos Christos Anadiotis (Oracle); Ioana Manolescu (INRIA and Institut Polytechnique de Paris); Madhulika Mohanty (Inria Saclay)*

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)

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)

VC-dimension and Rademacher Averages of Subgraphs, with Applications to Graph Mining

Paolo Pellizzoni (ETH Zürich); Fabio Vandin (University of Padova)*

Layer-refined Graph Convolutional Networks for Recommendation

Xin Zhou (Nanyang Technological University)*; Donghui Lin (Okayama University); Yong Liu (Nanyang Technological University); Chunyan Miao (NTU)

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Session 15

Research Session 15: Data Mining and Knowledge Discovery II

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)

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)

Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efcient Long-term Trafc 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)

Toward Efficient Automated Feature Engineering

Kafeng Wang (UCAS, SIAT CAS & UM)*; Pengyang Wang (University of Macau); Cheng-Zhong Xu (University of Macau)

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)

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Session 16

Research Session 16: DB for AI

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)

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)

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)

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)*

Data Ambiguity Profiling for the Generation of Training Examples

Enzo Veltri (Università della Basilicata)*; Gilbert Badaro (EURECOM); Mohammed Saeed (Eurecom); Paolo Papotti (Eurecom)

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Session 17

Research Session 17: IoT Data Management

Parallelizing Stream Compression for IoT Applications on Asymmetric Multicores

Xianzhi Zeng (SUTD); Shuhao Zhang (Singapore University of Technology and Design)*

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)

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)

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)

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)

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Session 18

Research Session 18: Query Processing, Indexing, and Optimization II

These Rows Are Made for Sorting and That's Just What We'll Do

Laurens Kuiper (CWI)*; Hannes Mühleisen (Centrum Wiskunde & Informatica)

ACEing the Bufferpool Management Paradigm for Modern Storage Devices

Tarikul Islam Papon (Boston University)*; Manos Athanassoulis (Boston University)

Lightweight-Yet-Efficient: Revitalizing Ball-Tree for Point-to-Hyperplane Nearest Neighbor Search

Qiang Huang (National University of Singapore)*; Anthony Tung (NUS)

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)

Finding Best Tuple via Error-prone User Interaction

QIXU CHEN (HKUST); Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)*

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April 5, 2023, Wednesday, 18:30PM – 21:00PM

TKDE Poster Session

Paper Title and Authors:

Enhancing Factorization Machines with Generalized Metric Learning (Extended Abstract)

Yangyang Guo (National University of Singapore)*; Zhiyong Cheng (Shandong Academy of Sciences); Jiazheng Jing (Shandong University); Liqiang Nie (Harbin Institute of Technology (Shenzhen)); Yanpeng Lin (Mercari, Inc.); Meng Wang (Hefei University of Technology)

A High-Performance Index for Real-Time Matrix Retrieval

Zeyi Wen (Hong Kong University of Science and Technology (Guangzhou))*; Mingyu Liang (Cornell University); Bingsheng He (National University of Singapore); Zexin Xia (Shanghai Jiao Tong University)

Intention-aware Sequential Recommendation with Structured Intent Transition (Extended Abstract)

Haoyang Li (Tsinghua University)*; Xin Wang (Tsinghua University); Ziwei Zhang (Tsinghua University); Jianxin Ma (Alibaba Group); Peng Cui (Tsinghua University); Wenwu Zhu (Tsinghua University)

Consensus One-step Multi-view Subspace Clustering (Extended abstract)

Pei Zhang (National University of Defense Technology)*; Xinwang Liu (National University of Defense Technology); Jian Xiong (National University of Defense Technology ); Sihang Zhou (NUDT); Wentao Zhao (National University of Defense Technology ); En Zhu (National University of Defense Technology); Zhiping Cai (NUDT)

Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract)

Weichang Wu (Ant Group)*; Junchi Yan (Shanghai Jiao Tong University); Xiaokang Yang (Shanghai Jiao Tong University of China); Hongyuan Zha (GEORGIA TECH)

BTWalk: Branching Tree Random Walk for Multi-Order Structured Network Embedding (Extended Abstract)

Hao Xiong (Shanghai Jiao Tong University)*; Junchi Yan (Shanghai Jiao Tong University)

Exploiting Reuse for GPU Subgraph Enumeration (Extended Abstract)

Wentian Guo (NUS); Yuchen Li (Singapore Management University)*; Kian-Lee Tan (National University of Singapore)

CPiX: Real-Time Analytics Over Out-of-Order Data Streams by Incremental Sliding-Window Aggregation

Savong Bou (University of Tsukuba)*; Toshiyuki AMAGASA (University of Tsukuba); Hiroyuki Kitagawa (University of Tsukuba)

Reachability Queries with Label and Substructure Constraints on Knowledge Graphs (Extended abstract)

Xiaolong Wan (Harbin Institute of Technology)*; Hongzhi Wang (Harbin Institute of Technology)

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning

Yifan Zhang (National University of Singapore); Peilin Zhao (Tencent AI Lab); Qingyao Wu (South China University of Technology); Bin Li (Wuhan University); Junzhou Huang (University of Texas at Arlington); Mingkui Tan (South China University of Technology)*

Collective Decision for Open Set Recognition (Extended Abstract)

Chuanxing Geng (College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics); Songcan Chen (Nanjing University of Aeronautics and Astronautics)*

Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract)

Hui Li (Xiamen University)*; Yanlin Wang (Sun Yat-sen University); Ziyu Lyu (Chinese Academy of Sciences); Jieming Shi (The Hong Kong Polytechnic University)

Role-based Graph Embeddings (Extended Abstract)

Nesreen Ahmed (Intel Labs)*; Ryan A. Rossi (Adobe Research); John  Lee (Facebook Research); Theodore L Willke (Intel Labs); Rong Zhou (Google); Xiangnan Kong (Worcester Polytechnic Institute); Hoda Eldardiry (Virginia Tech)

Anomaly Detection in Quasi-Periodic Time Series based on Automatic Data Segmentation and Attentional LSTM-CNN (Extended Abstract)

Fan Liu (Northwestern Polytechnical University); Xingshe Zhou (Northwestern Polytechnical University); Jinli Cao (La Trobe University); Zhu Wang (Northwestern Polytechnical University)*; Tianben Wang (Northwest A&F University); Hua Wang (Victoria University, Melbourne); Yanchun Zhang (Victoria University)

Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark (Extended Abstract)

Carl Yang (Emory University)*; Yuxin Xiao (MIT); Yu Zhang (University of Illinois at Urbana-Champaign); Yizhou Sun (UCLA); Jiawei Han (UIUC)

A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications (Extended abstract)

Shanjiang Tang (Tianjin University)*; Bingsheng He (National University of Singapore); Ce Yu (Tianjin University); Yusen Li (Nankai University); Kun Li (Tianjin University)

Data Representation by Joint Hypergraph Embedding and Sparse Coding

Guo Zhong (University of Macau); Chi-Man Pun (University of Macau)*

Attribute Graph Neural Networks for Strict Cold Start Recommendation (Extended Abstract)

Tieyun Qian (Wuhan University)*; Yile Liang (Wuhan University); Qing Li (The Hong Kong Polytechnic University); Hui Xiong (Rutgers University)

Object Detection from Point Cloud

Muhammad Sajid Khan (Wales Institute of Digital Information)*

A Review for Weighted MinHash Algorithms (Extended abstract)

Wei Wu (Central South University)*; Bin Li (Fudan University); Ling Chen (" University of Technology, Sydney, Australia"); Junbin Gao (University of Sydney, Australia); Chengqi Zhang (University of Technology Sydney)

Efficient Processing of Group Planning Queries Over Spatial-Social Networks (Extended Abstract)

Ahmed Al-Baghdadi (Kent State University)*; Gokarna Sharma (Kent State University); Xiang Lian (Kent State University)

An Optimal Online Semi-connected PLA Algorithm with Maximum Error Bound (Extended Abstract)

Huanyu Zhao (NingboTech University); Chaoyi Pang (NingboTech University)*; Ramamohanarao(Rao) Kotagiri (University of Melbourne); Christopher K Pang (University of Queensland); KE DENG (RMIT University); Jian Yang (Macquarie University); Tongliang Li (Hebei Academy of Sciences)

Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding

Thanh Tam Nguyen (Griffith University)*; Chi Thang Duong (Oracle); Hongzhi Yin (The University of Queensland); Matthias Weidlich (Humboldt-Universität zu Berlin); Son T Mai (Queen's University Belfast); Karl Aberer (EPFL); Quoc Viet Hung Nguyen (Griffith University)

A New Belief-Based Incomplete Pattern Unsupervised Classification Method

Zuowei Zhang (University of Rennes 1)*

A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (Extended Abstract)

David A Tedjopurnomo (RMIT University)*; Zhifeng  Bao (RMIT University); Baihua Zheng (Singapore Management University); Farhana Choudhury (The University of Melbourne); A. K. Qin (Swinburne University of Technology)

Achieving Privacy-preserving and Lightweight Truth Discovery in Mobile Crowdsensing (Extended abstract)

Jianchao Tang (NUDT); Shaojing Fu (National University of Defense Technology); Ximeng Liu (Fuzhou University); Yuchuan Luo (National University of Defense Technology)*; Ming Xu (National University of Defense Technology)

A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract)

Zhen Peng (School of Computer Science and Technology, Xi'an Jiaotong University)*; Minnan Luo (School of Electronic and Information Engineering, Xi'an Jiaotong University); Jundong Li (University of Virginia); Luguo Xue (MOEKLINNS Lab, Department of Computer Science, Xi’an Jiaotong University, P.R.China); Qinghua Zheng (School of Electronic and Information Engineering, Xi'an Jiaotong University)

Short Text Topic Modeling Techniques, Applications, and Performance: A Survey (Extended abstract)

Jipeng Qiang (Yangzhou University)*; Zhenyu Qian (Yangzhou University); Yun Li (Yangzhou University); Yunhao Yuan (Yangzhou University); Xindong Wu (School of Computer Science and Information Engineering, HeFei University of Technology )

Collaborative List-and-Pairwise Filtering from Implicit Feedback (Extended Abstract)

Runlong Yu (University of Science and Technology of China)*; Qi Liu (" University of Science and Technology of China, China"); Yuyang Ye (Rutgers Business School); Mingyue Cheng (University of Science and Technology of China); Enhong Chen (University of Science and Technology of China); Jianhui Ma (University of Science and Technology of China)

A Survey on Knowledge Graph-Based Recommender Systems (Extended abstract)

Qingyu Guo (HKUST)*; Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University); Chuan Qin (Baidu); Hengshu Zhu (Career Science Lab, BOSS Zhipin); Xing Xie (Microsoft Research Asia); Hui Xiong (Rutgers University); Qing He (Institute of Computing Technology, Chinese Academy of Sciences)

Few-Shot Named Entity Recognition via Meta-Learning (Extended Abstract)

Jing Li (Harbin Institute of Technology)*; Billy Chiu (Department of Computing and Decision Sciences, Lingnan University); Shanshan Feng (Harbin Institute of Technology); Hao Wang (Wuhan University)

Context-aware Service Recommendation based on Knowledge Graph Embedding (Extended Abstract)

Haithem Mezni (SMART Lab, ISG de Tunis)*; Djamal Benslimane (University Lyon 1, France); Ladjel Bellatreche (LIAS/ISAE-ENSMA)

Lamps: Location-Aware Moving Top-k Pub/Sub (Extended abstract)

Shunya Nishio (Osaka University)*; Daichi Amagata (Osaka University); Takahiro Hara (Osaka University, Japan)

Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM

Jielei Chu (School of Computing and Artificial Intelligence, Southwest Jiaotong University)*; Hongjun Wang (Southwest Jiaotong University); Jing Liu (School of Business, Sichuan University); Zhiguo Gong (University of Macau); Tianrui Li (School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, 611756, China)

Modeling Spatial Trajectories with Attribute Representation Learning (Extended Abstract)

Meng Chen (Shandong University)*; Yan Zhao (Department of Computer Science, Aalborg University); Yang Liu (Wilfrid Laurier University); Xiaohui Yu (York University); Kai Zheng (University of Electronic Science and Technology of China)

Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding (Extended Abstract)

Yang Liu (Institute of Computing Technology,Chinese Academy of Sciences)*; Xiang Ao (Institute of Computing Technology, CAS ); Linfeng Dong (Institute of Computing Technology Chinese Academy of Sciences); Chao Zhang (Georgia Institute of Technology); Jin Wang (Megagon Labs); Qing He (Institute of Computing Technology, Chinese Academy of Sciences)

A Survey on Deep Learning for Named Entity Recognition (Extended Abstract)

Jing Li (Harbin Institute of Technology)*; Aixin Sun (Nanyang Technological University); Jianglei Han (SAP); Chenliang Li (Wuhan University)

Data Dependencies Extended for Variety and Veracity: A Family Tree (Extended abstract)

Shaoxu Song (Tsinghua University); Fei Gao (Tsinghua University); Ruihong Huang (Fujian Normal University)*; Chaokun Wang (Tsinghua University)

Modelling High-Order Social Relations for Item Recommendation

Yang Liu (Sun Yat-sen University); Liang Chen (Sun Yat-sen University)*; Xiangnan He (University of Science and Technology of China); Jiaying Peng (Sun Yat-Sen University); Zibin Zheng (Sun Yat-sen University); Jie Tang (Tsinghua University)

Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery (Extended Abstract)

Lihui  Lin (Sun Yat-Sen University ); Yanghui Rao (Sun Yat-sen University)*; Haoran Xie (Lingnan University); Raymond Yiu Keung Lau (City University of Hong Kong, Hong Kong); Jian Yin (Sun Yat-Sen University); Fu Lee Wang (Hong Kong Metropolitan University); Qing Li (The Hong Kong Polytechnic University )

Towards Understanding the Instability of Network Embedding (Extended Abstract)

Chenxu Wang (Xi'an Jiaotong University)*; Wei Rao (Xi'an Jiaotong University); Wenna Guo (Xi'an Jiaotong University); Pinghui Wang (Xi'an Jiaotong University); Jun Liu (Xi'an Jiaotong University); Xiaohong Guan (Xi'an Jiaotong University)

Enabling Time-Centric Computation for Efcient Temporal Graph Traversals From Multiple Sources (Extended abstract)

Jaewook Byun (Sejong University)*

Iterative Refinement for Multi-Source Visual Domain Adaptation

Hanrui Wu (Jinan University); Yuguang Yan (Guangdong University of Technology); Guosheng Lin (Nanyang Technological University); Min Yang ( Chinese Academy of Sciences); Michael Kwok-Po Ng (The University of Hong Kong); Qingyao Wu (South China University of Technology)*

Learning Deep Graph Representations via Convolutional Neural Networks (Extended abstract)

Wei Ye (Tongji University)*; Omid Askarisichani (Google); Alex Jones (University of California, Santa Barbara); Ambuj K Singh (UCSB)

Incorporating User's Preference into Attributed Graph Clustering (Extended abstract)

Wei Ye (Tongji University)*; Dominik Mautz (LMU Munich); Christian Böhm (University of Vienna); Ambuj K Singh (UCSB); Claudia Plant (University of Vienna, Austria)

Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract)

Xinghao Yang (China University of Petroleum (East China))*; Weifeng Liu (China University of Petroleum (East China)); Wei Liu (University of Technology Sydney)

Modeling Product’s Visual and Functional Characteristics for Recommender Systems

Bin Wu (Zhengzhou University)*; Xiangnan He (University of Science and Technology of China); Yun Chen (Zhengzhou University); Liqiang Nie (Harbin Institute of Technology (Shenzhen)); Kai Zheng (University of Electronic Science and Technology of China); Yangdong Ye (Zhengzhou University)

Looking Back on the Past: Active Learning with Historical Evaluation Results (Extended Abstract)

Jing Yao (Microsoft Research Asia)*; Zhicheng Dou (Renmin University of China); Jian-Yun Nie (Université de Montréal); Ji-Rong Wen (Renmin University of China)

DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction (Extended Abstract)

Jiajing Zhu (University of Electronic Science and Technology of China); Yongguo Liu (University of Electronic Science and Technology of China)*; Chuanbiao Wen (Chengdu University of Traditional Chinese Medicine); Wu Xindong (Mininglamp Academy of Sciences)

T-PAIR: Temporal Node-pair Embedding for Automatic Biomedical Hypothesis Generation (Extended abstract)

Uchenna Akujuobi (Sony AI)*; Michael Spranger (Sony Computer Science Laboratories Inc.); Sucheendra Palaniappan (Systems Biology Institute); Xiangliang Zhang (University of Notre Dame)

A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification (Extended abstract)

Hong Yu (Chongqing Key Laboratory of Computational Intelligence; Chongqing University of Posts and Telecommunications)*; Qian Yang (Chongqing Key Laboratory of Computational Intelligence; Chongqing University of Posts and Telecommunications); Guoyin Wang (Chongqing Key Laboratory of Computational Intelligence; Chongqing University of Posts and Telecommunications); Yongfang Xie (School of Automation, Central South University)

A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario (Extended Abstract)

Huan Rong (Nanjing University of Information Science & Technology)*; Victor S. Sheng (Texas Tech University); Tinghuai Ma (Nanjing University of Information Science and Technology); Yang Zhou (Auburn University); Mznah Al-Rodhaan (King Saud University)

Discovering Structural Errors From Business Process Event Logs (Extended Abstract)

Wei Song (Nanjing University of Science and Technology)*; Zhen Chang (Nanjing University of Science and Technology ); Hans-Arno Jacobsen (University of Toronto); Pengcheng Zhang (Hohai University)

Evolutionary Markov Dynamics for Network Community Detection (Extended abstract)

Chunyu Wang (Southwest University)*; Chao Gao (Southwest University)

A Deep Neural Network for Crossing-City POI Recommendations(Extended Abstract)

Dichao Li (Nanjing University of Information Science & Technology)*; Zhiguo Gong (University of Macau)

SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding (Extended Abstract)

Saeed Najafipour (Iran University of Science and Technology); Saeid Hosseini (University of Queensland)*; Wen Hua (The Hong Kong Polytechnic University); Mohammad reza Kangavari (Iran University of Science and Technology); Xiaofang Zhou (The Hong Kong University of Science and Technology)

Discovery of Cross Joins (Extended Abstract)

Miika Hannula (The University of Helsinki); Zhuoxing Zhang (University of Auckland); Bor-Kuan Song (The University of Auckland); Sebastian Link (University of Auckland)*

Transferable Feature Selection for Unsupervised Domain Adaptation

Yuguang Yan (Guangdong University of Technology)*; Hanrui Wu (Jinan University); Yuzhong Ye (South China University of Technology); Chaoyang Bi (South China University of Technology); Min LU (Tencent); Dapeng Liu (Tencent); Qingyao Wu (South China University of Technology); Michael Kwok-Po Ng (The University of Hong Kong)

Enhanced Discrete Multi-modal Hashing: More Constraints yet Less Time to Learn (Extended Abstract)

Yong Chen (Beijing University of Posts and Telecommunications)*; Hui Zhang (Beihang University); Zhibao Tian (Beihang University); Jun Wang (UCL); Dell Zhang (Thomson Reuters Labs); Xuelong Li (Northwestern Polytechnical University)

Privacy-preserving Feature Extraction via Adversarial Training (Extended Abstract)

Xiaofeng Ding (Huazhong University of Science and Technology)*; Hongbiao Fang (Huazhong University of Science and Technology); Zhilin Zhang (Simon Fraser University); Kim-Kwang Raymond Choo (The University of Texas at San Antonio); Hai Jin (Huazhong University of Science and Technology)

Efficient Regular Expression Matching Based on Positional Inverted Index

Tao Qiu (Shenyang Aerospace University)*; Xiaochun Yang (Northeastern University); Bin Wang (Northeastern University); Wei Wang (Hong Kong University of Science and Technology (Guangzhou))

Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM (Extended abstract)

Chi Harold Liu (Beijing Institute of Technology)*; Yu Wang (Beijing Institute of Technology ); Chengzhe Piao (University College London); Zipeng Dai (Beijing Institute of Technology); Ye Yuan ( Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology); Dapeng Wu (University of Florida)

Hierarchical Latent Context Representation for Context-Aware Recommendations (Extended Abstract)

Moshe Unger (Tel-Aviv University)*; Alexander Tuzhilin (New York University, USA)

Deep Bayesian Active Learning for Learning to Rank: A Case Study in Answer Selection (Extended Abstract)

qunbo wang (Institute of Automation, Chinese Academy of Sciences)*; Wenjun Wu (Beihang University); Yuxing Qi (Beihang University); yongchi zhao (BEIHANG university)

Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm (Extended Abstract)

Wei Fang (Jiangnan University)*; Qiang Zhang (Jiangnan University); Jun Sun (Jiangnan University); Xiao-Jun Wu (Jiangnan University)

Efficient Hierarchical Storage Management Empowered by Reinforcement Learning Extended Abstract

Tianru Zhang (Uppsala University)*

Deep Feature-Based Text Clustering and Its Explanation

Renchu Guan (The Key Laboratory for Symbol Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology, Jilin University); Hao Zhang (Jilin University); Liang Yanchun (Jilin University); Fausto Giunchiglia ( University of Trento); Lan Huang (College of Computer Science and Technology, Jilin University); Xiaoyue Feng (Jilin University)*

HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract)

Bo Peng (The Ohio State University); Zhiyun Ren (OSU); Srinivasan Parthasarathy (Ohio State University); Xia Ning (Ohio State University)*

MMCo-Clus – An Evolutionary Co-clustering Algorithm for Gene Selection (Extended abstract)

Laizhong Cui (Shenzhen University); Sudipta Acharya (Queen's university)*; Sumit Mishra (IIIT Guwahati); Yi Pan (Georgia State University ); Joshua Zhexue Huang (Shenzhen University)

A High Performance Concurrency Protocol for Smart Contracts of Permissioned Blockchain (Extended abstract)

Cheqing Jin (East China Normal University); Shuaifeng Pang (East China Normal University); Xiaodong Qi (East China Normal University); Zhao Zhang (East China Normal University)*; Aoying Zhou (East China Normal University )

I/O-Efficient Algorithms for Degeneracy Computation on Massive Networks (Extended Abstract)

Ronghua Li (Beijing Institute of Technology)*; Qiushuo Song (Shenzhen University); Xiaokui Xiao (National University of Singapore); Lu Qin (UTS); Guoren Wang (Beijing Institute of Technology); Jeffrey Xu Yu (Chinese University of Hong Kong); Rui Mao (Shenzhen University)

Social Boosted Recommendation with Folded Bipartite Network Embedding

Hongxu Chen (Commonwealth Bank of Australia)*; Hongzhi Yin (The University of Queensland); Tong Chen (The University of Queensland); Weiqing Wang (Monash University); Xue Li (University of Queensland); Xia Hu (Rice University)

Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-similarity

Meiyu Liang (Beijing University of Posts and Telecommunications)*; Junping Du (Beijing University Of Posts And Telecommunications); Linghui Li (Beijing University of Posts and Telecommunications); Zhe Xue (Beijing University of Posts and Telecommunications); Xiaoxiao Wang (Beijing University of Posts and Telecommunications); Feifei Kou (Beijing University of Posts and Telecommunications); Xu Wang (Beijing University of Posts and Telecommunications)

Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning (Extended Abstract)

Lukas Chrpa (Czech Technical University in Prague)*; Roman Barták (Charles University); Jindřich Vodrážka (Charles University); Marta Vomlelova (Charles University)

HyperMinHash: MinHash in LogLog Space (Extended Abstract)

Yun William Yu (University of Toronto at Scarborough)*; Griffin M. Weber (Harvard Medical School)

BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances (Extended Abstract)

Yang Song (Northeastern University); Yu Gu (Northeastern University); Rui Zhang (www.ruizhang.info); Ge Yu (Northeast University)*

Toward Predicting Active Participants in Tweet Streams: A case study on Two Civil Rights Events (Extended abstract)

Tian-Fang Zhao (Jinan University); Wei-Neng Chen (South China University of Technology)*

A Tensor-based Markov Chain Model for Heterogeneous Information Network  Collective Classification

Chao Han (Guangxi University ); Jian Chen ("South China University of Technology, China"); Mingkui Tan (South China University of Technology); Michael Kwok-Po Ng (The University of Hong Kong); Qingyao Wu (South China University of Technology)*

Verifying the Correctness of Analytic Query Results (Extended Abstract)

Masoud Nosrati (Iowa State University)*; Ying Cai (Iowa State University, USA)

Efficient Sink-Reachability Analysis via Graph Reduction (Extended Abstract)

Jens Dietrich (Victoria University of Wellington); Lijun Chang (The University of Sydney)*; Long Qian (Massey University); Lyndon Henry (The University of Sydney); Catherine McCartin (Massey University); Bernhard Scholz (University of Sydney)

Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract)

Nairouz Mrabah (Université du Québec à Montréal)*; Mohamed Bouguessa (University of Quebec at Montreal); Riadh Ksantini (University of Bahrain)

Bipartite Graph based Multi-view Clustering (Extended Abstract)

Lusi Li (Old Dominion University)*; Haibo He (University of Rhode Island)

Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract)

Nairouz Mrabah (Université du Québec à Montréal)*; Mohamed Bouguessa (University of Quebec at Montreal); Mohamed Fawzi  Touati (Université du Québec à Montréal); Riadh Ksantini (University of Bahrain)

Extract Human Mobility Patterns Powered by City Semantic Diagram (Extended Abstract)

Zhangqing Shan (Fudan University)*; Weiwei Sun (" Fudan University, China"); Baihua Zheng (Singapore Management University)

The Node-Similarity Distribution of Complex Networks and Its Applications in Link Prediction (Extended abstract)

cunlai pu (Nanjing University of Science and Technology); Jie Li (Nanjing University of Science and Technology); Jian Wang (Fudan University)*; Tony  Quek (Singapore University of Technology and Design)

Evidence Integration for Multi-hop Reading Comprehension with Graph Neural Networks Extended abstract

Linfeng Song (Tencent)*; Zhiguo Wang (AWS AI Labs); Mo Yu (Tencent); Yue Zhang (Westlake University);  Radu Florian (IBM T.J. Watson Research Center); Daniel Gildea (University of Rochester)

Database Meets Artificial Intelligence: A Survey (Extended Abstract)

Xuanhe Zhou (Tsinghua); Chengliang  Chai (Tsinghua University); Guoliang Li (Tsinghua University)*; Ji Sun (Tsinghua University)

Collaborative Learning for Extremely Low Bit Asymmetric Hashing

Yadan Luo (The University of Queensland)*; Zi Huang (The University of Queensland); Yang Li (The University of Queensland); Fumin Shen (UESTC); Yang Yang (University of Electronic Science and Technology of China); Peng Cui (Tsinghua University)

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April 6, 2023, Thursday, 10:30AM – 12:20PM

Session 19

Research Session 19: Graphs V

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)

Parallel Filtered Graphs for Hierarchical Clustering  

Shangdi Yu (Massachusetts Institute of Technology)*; Julian Shun (MIT)

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)

Most Probable Densest Subgraphs

Arkaprava Saha (Nanyang Technological University)*; Xiangyu Ke (Zhejiang University, China); Arijit Khan (Aalborg University); Cheng Long (Nanyang Technological University)

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)

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)

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Session 20

Research Session 20: Data Mining and Knowledge Discovery III

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)

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)

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)

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))

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)

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)

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Session 21

Research Session 21: Spatial and Temporal Databases I

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)

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)

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)

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)

Towards Efficient MIT query in Trajectory Data

Jian Chen (Harbin Institute of Technology)*; Hong Gao (Harbin Institute of Technology); Kaiqi Zhang (Harbin Institute of Technology); Jiachi Wang (Harbin Institute of Technology); Yubo Luo (Harbin Institute of Technology); Zhenqing Wu (Harbin Institute of Technology); Jianzhong Li (Harbin Institute of Technology)

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)

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Session 22

Research Session 22: Very Large Data Science Applications/pipelines

Metam: Goal-Oriented Data Discovery

Sainyam Galhotra (University of Chicago)*; Yue Gong (The University of Chicago); Raul Castro Fernandez (The University of Chicago)

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)

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)

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)

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)

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)

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April 6, 2023, Thursday, 14:00PM – 15:30PM

Session 23

Research Session 23: Graphs VI

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)

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)

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)

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)

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)

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Session 24

Research Session 24: Data Mining and Knowledge Discovery IV

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)

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)

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)

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)

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)

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Session 25

Research Session 25: Benchmarking, Performance Modeling, Tuning, and Testing

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)

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)

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)*

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)

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April 6, 2023, Thursday, 16:00PM – 18:00PM

Special Track Paper Session 2

Special Track Paper session 2; Marketplace, economics, and insights

Understanding the Price of Data in Commercial Data Marketplaces

Santiago Andrés Azcoitia (IMDEA Networks)*; Kostas Iordanou (Cyprus University of Technology); Nikolaos Laoutaris (IMDEA Networks)

Towards a GML-Enabled Knowledge Graph Platform

Hussein Shahata Abdallah (Concordia University)*; Essam Mansour (Concordia University)

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)

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)

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, 9:00 – 10:30

Session 26

Research Session 26: Data Mining and Knowledge Discovery V

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)

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)

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)

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)

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)

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Session 27

Research Session 27: Uncertain, Probabilistic, and Approximate Databases

HistSketch: A Compact Data Structure for Accurate Per-Key Distribution Monitoring

Jintao He (Peking University)*; Jiaqi Zhu (Peking University); Qun Huang (Peking University)

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)

JanusAQP: Efficient Partition Tree Maintenance for Dynamic Approximate Query Processing

Xi Liang (University of Chicago); Stavros Sintos (University of Illinois Chicago)*; Sanjay Krishnan (UChicago)

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)

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)

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Session 28

Research Session 28: AI for DB II

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)*

Stable Tuple Embeddings for Dynamic Databases

Jan M Tönshoff (RWTH Aachen University)*; Neta Friedman (Technion); Martin Grohe (RWTH Aachen University); Benny Kimelfeld (Technion)

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)

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)

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)

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Session 29

Research Session 29: Graphs VII

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)

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)

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)

GAMMA: A Graph Pattern Mining Framework for Large Graphs on GPU

Lin Hu (Peking University); Lei Zou (Peking University)*; Tamer Özsu (University of Waterloo)

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)

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Session 30

Research Session 30: Query Processing, Indexing, and Optimization

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)

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)

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)

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)

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)

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April 7, 2023, Friday, 11:30AM – 13:00PM

Session 31

Research Session 31: Data Mining and Knowledge Discovery VI

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))

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)

IndiBits: Incremental Discovery of Relaxed Functional Dependencies using Bitwise Similarity

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)

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)

Mining Seasonal Temporal Patterns in Time Series

Van Long Ho (Aalborg University)*; Nguyen Ho (Aalborg University); Torben Bach Pedersen (Aalborg University)

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Session 32

Research Session 32:  Text, Semi-Structured Data, IR, Image, and Multimedia databases

Marshalling Model Inference In Video Streams

Daren Chao (University of Toronto); Nick Koudas (University of Toronto)*; Xiaohui Yu (York University)

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)

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)

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))

Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks

Carl Yang (Emory University)*; Jiawei Han (UIUC)

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Session 33

Research Session 33: Modern Hardware and In-Memory Database Systems

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)

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)

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)

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)*

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)

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Session 34

Research Session 34: Query Processing

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)

Top-r keyword-based community search in attributed graphs

Junhao Ye (Wuhan University); Yuanyuan Zhu (Wuhan University)*; Lu Chen (Zhejiang University)

FASI: FPGA-friendly Subgraph Isomorphism on Massive Graphs

Xunbin Su (Peking University); Yinnian Lin (Peking University); Lei Zou (Peking University)*

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)

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)*

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