SIGMOD 2023: Accepted Research Papers
- Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-DumpSihao Hu (National University of Singapore)*; Zhen Zhang (National University of Singapore); Shengliang Lu (National University of Singapore); Bingsheng He (National University of Singapore); Zhao Li (Zhejiang University)
- LadderFilter: Filtering Infrequent Items with Small Memory and Time OverheadYuanpeng Li (Peking University)*; Feiyu Wang (Peking University); Xiang Yu (Peking University); Yilong Yang (Xidian University); Kaicheng Yang (Peking University); Tong Yang (Peking University); Zhuo Ma (Xidian University); Bin Cui (Peking University); Steve Uhlig (QMUL)
- Time2State: An Unsupervised Framework for Inferring the Latent States in Time Series DataChengYu Wang (NUDT)*; Kui Wu (University of Victoria); Tongqing Zhou (NUDT); Zhiping Cai (NUDT)
- Incremental Tabular Learning on Heterogeneous Feature SpaceHanmo Liu (Hong Kong University of Science and Technology (Guang Zhou))*; Shimin Di (The Hong Kong University of Science and Technology); Lei Chen (Hong Kong University of Science and Technology)
- GitTables: A Large-Scale Corpus of Relational TablesMadelon Hulsebos (University of Amsterdam)*; Paul Groth (University of Amsterdam); Cagatay Demiralp (Sigma Computing)
- Raster Intervals: An Approximation Technique for Polygon Intersection JoinsThanasis Georgiadis (University of Ioannina); Nikos Mamoulis (University of Ioannina)*
- Runtime Variation in Big Data AnalyticsYiwen Zhu (Microsoft)*; Rathijit Sen (Microsoft); Robert Horton (Microsoft Corporation); John M Agosta (Microsoft)
- Efficient and Effective Cardinality Estimation for Skyline FamilyXiaoye Miao (Zhejiang University)*; Yangyang Wu (Zhejiang University); peng jiazhen (Zhejiang University); Yunjun Gao (Zhejiang University); Jianwei Yin (Zhejiang University)
- FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device PlacementXiaonan Nie (Peking University)*; Xupeng Miao (Carnegie Mellon University); Zilong Wang (Microsoft); Zichao Yang (Carnegie Mellon University); Jilong Xue (Microsoft Research); Lingxiao Ma (Microsoft Research); Gang Cao (BAAI); Bin Cui (Peking University)
- Efficient and Portable Einstein Summation in SQLMark Blacher (Friedrich Schiller University Jena)*; Joachim Giesen (Friedrich Schiller University Jena); Julien Klaus (Friedrich Schiller University Jena); Christoph Staudt (Friedrich Schiller University Jena); Sören Laue (TU Kaiserslautern); Viktor Leis (Technische Universität München)
- Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Data ImputationYangxin Fan (Case Western Reserve University)*; Xuanji Yu (Case Western Reserve University); Raymond Wieser (Case Western Reserve University); David Meakin (SunPower Corporation); Avishai Shaton (SolarEdge Technologies); Jean-Nicolas Jaubert (CSI Solar Co.Ltd.); Robert Flottemesch (Brookfield Renewable U.S.); Michael Howell (C2 Energy Capital); Jennifer Braid (Sandia National Labs); Laura Bruckman (Case Western Reserve University); Roger H French (Case Western Reserve University); Yinghui Wu (Case Western Reserve University)
- FEC: Efficient Deep Recommendation Model Training with Flexible Embedding CommunicationKaihao Ma ( The Chinese University of Hong Kong); Xiao Yan (Southern University of Science and Technology)*; Zhenkun Cai (The Chinese University of Hong Kong); Yuzhen Huang (Meta); Yidi Wu (Meta Platforms, Inc); James Cheng (CUHK)
- SSIN: Self-Supervised Learning for Rainfall Spatial InterpolationJia Li (Hong Kong University of Science and Technology)*; Yanyan Shen (Shanghai Jiao Tong University); Lei Chen (Hong Kong University of Science and Technology); Charles Wang Wai Ng (Hong Kong University of Science and Technology )
- Near-Duplicate Sequence Search at Scale for Neural Language Model Memorization EvaluationZhencan Peng (Rutgers University); Zhizhi Wang (Rutgers University); Dong Deng (Rutgers Universituy - New Brunswick)*
- AWARE: Workload-aware, Redundancy-exploiting Linear AlgebraSebastian Baunsgaard (Graz University of Technology)*; Matthias Boehm (Technische Universität Berlin)
- Unsupervised Hashing with Semantic Concept MiningRong-Cheng Tu (Beijing Institute of Technology)*; Xian-Ling Mao (Beijing Institute of Technology); Qinghong Lin (Shenzhen University); chengfei cai (Zhejiang University); Weize Qin (Institute of Computing Technology, Chinese Academy of Sciences); Wei Wei (Huazhong University of Science and Technology); Hongfa Wang (Chinese Academy of Sciences); Heyan Huang (Beijing Institute of Technology)
- CompressGraph: Efficient Parallel Graph Analytics with Rule-Based CompressionZheng Chen (Renmin University of China); Feng Zhang (Renmin University of China)*; JiaWei Guan (Renmin University of China); Jidong Zhai (Tsinghua University); Xipeng Shen (North Carolina State University); Huanchen Zhang (Tsinghua University); Wentong Shu (Renmin University of China); Xiaoyong Du (Renmin University of China)
- A New Sparse Data Clustering Method Based on Frequent ItemsQiang Huang (National University of Singapore)*; Pingyi Luo (NUS); Anthony Tung (NUS)
- Virtual-Memory Assisted Buffer ManagementViktor Leis (Technische Universität München)*; Adnan Alhomssi (Friedrich-Alexander-Universität Erlangen-Nürnberg); Tobias Ziegler (TU Darmstadt); Yannick Loeck (Technische Universität Hamburg); Christian Dietrich (Hamburg University of Technology)
- iFlipper: Label Flipping for Individual FairnessHantian Zhang (Georgia Tech); KIHYUN TAE (KAIST); Jaeyoung Park (KAIST); Xu Chu (GATECH); Steven E Whang (KAIST)*
- SANTOS: Relationship-based Semantic Table Union SearchAamod Khatiwada (Northeastern University)*; Grace Fan (Northeastern University); Roee Shraga (Northeastern University); Zixuan Chen (Northeastern University); Wolfgang Gatterbauer (Northeastern University); Renée J. Miller (Northeastern University); Mirek Riedewald (Northeastern University)
- Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword QueriesShang Liu (Nanyang Technological University)*; Gao Cong (Nanyang Technological Univesity); Kaiyu Feng (Beijing Institute of Technology); Wanli Gu (MEITUAN); Fuzheng Zhang (Meituan-Dianping Group)
- Circinus: Fast Redundancy-Reduced Subgraph MatchingTatiana Jin (CUHK); Boyang Li (CUHK); Yichao Li (CUHK); qihui zhou (CUHK); Qianli Ma (CUHK); Yunjian Zhao (CUHK); Hongzhi Chen (CUHK); James Cheng (CUHK)*
- Composite Object Normal FormsZhuoxing Zhang (Southwest University); Wu Chen ( College of Computer & Information Science, Southwest University); Sebastian Link (University of Auckland)*
- EAR-Oracle: On Efficient Indexing for Distance Queries between Arbitrary Points on Terrain SurfaceBo Huang (Southern University of Science and Technology); Victor Junqiu Wei (Hong Kong Polytechnic University)*; Raymond Chi-Wing Wong (Hong Kong University of Science and Technology); Bo Tang (Southern University of Science and Technology)
- Fast Continuous Subgraph Matching over Streaming Graphs via Backtracking ReductionRongjian Yang (Fudan University); Zhijie Zhang (Fudan University); Weiguo Zheng (Fudan University)*; Jeffrey Xu Yu (Chinese University of Hong Kong)
- Efficient Estimation of Pairwise Effective ResistanceRenchi Yang (Hong Kong Baptist University)*; Jing Tang (The Hong Kong University of Science and Technology)
- One-shot garbage collection for in-memory OLTP through temporality-aware version storageAunn Raza (EPFL)*; Periklis Chrysogelos (EPFL); Angelos Christos Anadiotis (Oracle); Anastasia Ailamaki (EPFL)
- AutoOD: Automatic Outlier DetectionLei Cao (MIT)*; Yizhou Yan (Worcester Polytechnic Institute); Yu Wang (University of Science and Technology of China); Samuel Madden (MIT); Elke A Rundensteiner (WPI)
- A Neural Approach to Spatio-Temporal Data Release with User-Level Differential PrivacyRitesh Ahuja (University of Southern California); Sepanta Zeighami (University of Southern California); Gabriel Ghinita (Hamad Bin Khalifa University)*; Cyrus Shahabi (Computer Science Department. University of Southern California)
- Most Expected Winner: An Interpretation of Winners over Uncertain Voter PreferencesHaoyue Ping (New York University)*; Julia Stoyanovich (New York University)
- Grouping Time Series for Efficient Columnar StorageChenguang Fang (Tsinghua University); Shaoxu Song (Tsinghua University)*; Haoquan Guan (Tsinghua University); Xiangdong Huang (Tsinghua University); Chen Wang (" Tsinghua University, China"); Jianmin Wang ("Tsinghua University, China")
- How To Optimize My Blockchain? A Multi-Level Recommendation ApproachJeeta Ann Chacko (Technical University of Munich)*; Ruben Mayer (Technical University of Munich); Hans-Arno Jacobsen (University of Toronto)
- Personalized PageRank on Evolving Graphs with an Incremental Index-Update SchemeGuanhao Hou (The Chinese University of Hong Kong); Qintian Guo (The Chinese University of Hong Kong ); Fangyuan ZHANG (The Chinese University of Hong Kong); Sibo Wang (The Chinese University of Hong Kong)*; Zhewei Wei (Renmin University of China)
- Transaction Scheduling: From Conflicts to Runtime ConflictsYang Cao (University of Edinburgh)*; Wenfei Fan (Univ. of Edinburgh ); Weijie Ou (Shenzhen Institute of Computing Sciences); Rui Xie (Shenzhen Institute of Computing Sciences); Wenyue Zhao (University of Edinburgh)
- ClipSim: A GPU-friendly Parallel Framework for Single-Source SimRank with Accuracy GuaranteeTianhao Wu (Tsinghua University); Ji Cheng (HKUST); Chaorui Zhang (Huawei)*; Jianfeng Hou (Theory Lab HK, Huawei Tech. Investment Co., Limited); gengjian chen (wuhan university); Zhongyi Huang (Tsinghua University); Weixi Zhang (Huawei); Wei Han (Huawei); Bo Bai (Theory Lab, 2012 Labs, Huawei Technologies, Co. Ltd)
- Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality EstimationFang Wang (The Hong Kong Polytechnic University)*; Xiao Yan (Southern University of Science and Technology); Man Lung Yiu (Hong Kong Polytechnic University); Shuai LI (The Hong Kong Polytechnic University); Zunyao Mao (Southern University of Science and Technology); Bo Tang (Southern University of Science and Technology)
- Distributed GPU Joins on Fast RDMA-capable NetworksLasse Thostrup (TU Darmstadt)*; Gloria Doci (Snowflake); Nils Boeschen (TU Darmstadt); Manisha Luthra (TU Darmstadt); Carsten Binnig (TU Darmstadt)
- dbET: Execution Time Distribution-based Plan SelectionYifan Li (York University)*; Xiaohui Yu (York University); Nick Koudas (University of Toronto); Shu Lin (Huawei); Chong Chen (Huawei); Calvin Sun (Huawei)
- Ground Truth Inference for Weakly Supervised Entity MatchingRenzhi Wu (Georgia Institute of Technology)*; Alexander E Bendeck (Georgia Institute of Technology); Xu Chu (GATECH); Yeye He (Microsoft Research)
- Detect, Distill and Update: Learned DB Systems Facing Out of Distribution DataMeghdad Kurmanji (University of Warwick)*; Peter Triantafillou (University of Warwick)
- I/O-Efficient Butterfly Counting at ScaleZhibin Wang (NJU)*; Longbin Lai (Alibaba Group); Yixue Liu (Nanjing University); Bing Shui (Nanjing university); Chen Tian (NJU); Sheng Zhong (Nanjing University)
- LiteHST: A Tree Embedding based Method for Similarity SearchYuxiang Zeng (Hong Kong University of Science and Technology)*; Yongxin Tong (Beihang University); Lei Chen (Hong Kong University of Science and Technology)
- Optimizing Tensor Programs on Flexible StorageMaximilian Schleich (RelationalAI)*; Amir Shaikhha (University of Edinburgh); Dan Suciu (University of Washington)
- LinCQA: Faster Consistent Query Answering with Linear Time GuaranteesZhiwei Fan (University of Wisconsin-Madison); Paraschos Koutris (University of Wisconsin-Madison); Xiating Ouyang (University of Wisconsin-Madison)*; Jef Wijsen (University of Mons)
- Probabilistic Reasoning at Scale: Trigger Graphs to the RescueEfthymia Tsamoura (Samsung AI Research); Jaehun Lee (Samsung); Jacopo Urbani (Vrije Universiteit Amsterdam)*
- Foreign Keys Open the Door for Faster Incremental View MaintenanceChristoforos Svingos (National and Kapodistrian University of Athens)*; Andre Hernich (Amazon Web Services); Hinnerk Gildhoff (Amazon); Yannis Papakonstantinou (Databricks & University of California, San Diego ); Yannis Ioannidis (University of Athens)
- FactorJoin: A New Cardinality Estimation Framework for Join QueriesZiniu Wu (Massachusetts Institute of Technology)*; Parimarjan Negi (MIT); Mohammad Alizadeh (MIT CSAIL); Tim Kraska (MIT); Samuel Madden (MIT)
- FlexER: Flexible Entity Resolution for Multiple IntentsBar Genossar (Technion -- Israel Institute of Technology)*; Avigdor Gal (Technion -- Israel Institute of Technology); Roee Shraga (Northeastern University)
- MRV: Enforcing Numeric Invariants in Parallel Updates to Hotspots with Randomized SplittingNuno F Faria (INESCTEC & U. Minho)*; José Pereira (U. Minho & INESCTEC)
- Polaris: Enabling Transaction Priority in Optimistic Concurrency ControlChenhao Ye (University of Wisconsin-Madison); Wuh-Chwen Hwang (University of Wisconsin-Madison); Keren Chen (University of Wisconsin-Madison); Xiangyao Yu (University of Wisconsin-Madison)*
- An Efficient Algorithm for Distance-based Structural Graph ClusteringKaixin Liu (Tsinghua University); Sibo Wang (The Chinese University of Hong Kong)*; Yong Zhang (" Tsinghua University, China"); Chunxiao Xing (Tsinghua University)
- SplinterDB and Maplets: Improving the Tradeoffs in Key-Value Store Compaction PolicyAlexander Conway (VMware Research)*; Martin Farach-Colton (Rutgers University); Rob Johnson (VMware Research)
- IcebergHT: High Performance PMEM Hash Tables Through Stability and Low AssociativityPrashant Pandey (University of Utah)*; Michael A Bender (Stony Brook); Alexander Conway (VMware Research); Martin Farach-Colton (Rutgers University); William H Kuszmaul (MIT); Guido Tagliavini (Rutgers University); Rob Johnson (VMware Research)
- Efficient Sampling Approaches to Shapley Value ApproximationJiayao Zhang (Zhejiang University); Qiheng Sun (Zhejiang University); Jinfei Liu (Zhejiang University)*; Li Xiong (Emory University); Jian Pei (Simon Fraser University); Kui Ren (Zhejiang University)
- Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching ApproachKaiqiang Yu (Nanyang Technological University)*; Cheng Long (Nanyang Technological University)
- TED: Towards Discovering Top-𝑘 Edge-Diversified Patterns in a Graph DatabaseKai Huang (HKUST)*; Haibo Hu (Hong Kong Polytechnic University); Qingqing Ye (Hong Kong Polytechnic University); Kai Tian (Tencent); Bolong Zheng (Huazhong University of Science and Technology); Xiaofang Zhou (Hong Kong University of Sci and Tech)
- Caerus: A Caching-based Framework for Scalable Temporal Graph Neural NetworksYiming Li (Hong Kong University of Science and Technology)*; Yanyan Shen (Shanghai Jiao Tong University); Lei Chen (Hong Kong University of Science and Technology); Mingxuan Yuan (Huawei)
- SafeBound: A Practical System for Generating Cardinality BoundsKyle B Deeds (University of Washington)*; Magdalena Balazinska (UW); Dan Suciu (University of Washington)
- Efficient Approximate Nearest Neighbor Search in Multi-dimensional DatabasesYun PENG (Guangzhou University)*; Byron Choi (Hong Kong Baptist University); Tsz Nam (Edison) Chan (Hong Kong Baptist University); Jianye Yang (Guangzhou University); Jianliang Xu (Hong Kong Baptist University)
- Detecting Logic Bugs of Join Optimizations in DBMSXiu Tang (Zhejiang University); Sai Wu (Zhejiang Univ)*; Dongxiang Zhang (Zhejiang University); Feifei Li (Alibaba Group); Gang Chen (Zhejiang University)
- TowerSensing: Linearly Compressing Sketches with FlexibilityZirui Liu (Peking University)*; Yixin Zhang (Peking University); Yifan Zhu (Peking university); Ruwen Zhang (Peking University); Tong Yang (Peking University); kun xie (Hunan University); Sha Wang (National University of Defense Technology); Tao Li (National University of Defense Technology); Bin Cui (Peking University)
- A Universal Question-Answering Platform for Knowledge GraphsReham Omar (Concordia University )*; Ishika Dhall (Concordia University ); Panos Kalnis (King Abdullah University of Science and Technology); Essam Mansour (Concordia University)
- Fast Density-Based Clustering: Geometric ApproachXiaogang Huang (Southwestern University of Finance and Economics); Tiefeng Ma (Southwestern University of Finance and Economics)*
- MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on MulticoresYancan Mao (National University of Singapore); Jianjun Zhao (huazhong university of science and technology); Haikun Liu (Huazhong University of Science and Technology); Shuhao Zhang (Singapore University of Technology and Design)*; Volker Markl (Technische Universität Berlin)
- An Effective and Differentially Private Protocol for Secure Distributed Cardinality EstimationPinghui Wang (Xi'an Jiaotong University)*; Chengjin Yang (Xi'an Jiaotong University); Dongdong Xie (Xi'an Jiaotong University); Junzhou Zhao (Xi'an Jiaotong University); Hui Li (Xidian University); Jing Tao (Xi'an Jiaotong University); Xiaohong Guan (Xi'an Jiaotong University)
- Towards Generating Hop-constrained s-t Simple Path GraphsYuzheng Cai (Fudan University); Siyuan Liu (Fudan University); Weiguo Zheng (Fudan University)*; Xuemin Lin (University of New South Wales)
- GeoGauss: Strongly Consistent Coordinator-Free OLTP for Geo-Replicated SQL DatabaseWeixing Zhou (Northeastern University); Qi Peng (Northeastern University); Zijie Zhang (Huawei); Yanfeng Zhang (Northeastern University)*; Yang Ren (Huawei); Sihao Li (Huawei Tech. Co Ltd); Guo Fu (Northeastern University); yulong cui (northeastern university); Qiang Li (华为技术有限公司); Wu Caiyi (NEU); Shangjun Han (Northeastern University); Shengyi Wang (Northeastern University); Guoliang Li (Tsinghua University); Ge Yu (Northeast University)
- The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial DataTu Gu (Nanyang Technological University)*; Kaiyu Feng (Beijing Institute of Technology); Gao Cong (Nanyang Technological Univesity); Cheng Long (Nanyang Technological University); ZHENG WANG (Nanyang Technological University); Sheng Wang (Alibaba Group)
- Robust and Transferable Log-based Anomaly DetectionPeng Jia (Xi'an Jiaotong University)*; Yiyuan Xiong (NUS); Shaofeng Cai (National University of Singapore); Beng Chin Ooi (NUS); Pinghui Wang (Xi'an Jiaotong University)
- Matching Roles from Temporal DataLeon Bornemann (Hasso Plattner Institute)*; Tobias Bleifuß (Hasso Plattner Institute); Dmitri V. Kalashnikov (AT&T Labs Research); Fatemeh Nargesian (University of Rochester); Felix Naumann (Hasso Plattner Institute, University of Potsdam); Divesh Srivastava (AT&T Chief Data Office)
- Toward Efficient Homomorphic Encryption for Outsourced Databases through Parallel CachingOlamide Timothy Tawose (University of Nevada, Reno); Jun Dai (California State University, Sacramento); Lei Yang (University of Nevada, Reno); DONGFANG ZHAO (University of Nevada, Reno)*
- Efficient Resistance Distance Computation: the Power of Landmark-based ApproachesMeihao Liao (Beijing Institute of Technology); Ronghua Li (Beijing Institute of Technology)*; Qiangqiang Dai (Beijing Institute of Technology); Hongyang Chen (Zhejiang Lab); Hongchao Qin (Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology)
- Scaling Up k-Clique Densest Subgraph DetectionYizhang He (The University of New South Wales); Kai Wang (Shanghai Jiao Tong University)*; Wenjie Zhang (University of New South Wales); Xuemin Lin (University of New South Wales); Ying Zhang (University of Technology Sydney)
- Discovering Top-k Rules using Subjective and Objective CriteriaWenfei Fan (Univ. of Edinburgh ); Ziyan Han (Beihang University); Yaoshu Wang (Shenzhen Institute of Computing Sciences, Shenzhen University)*; Min Xie (Shenzhen Institute of Computing Sciences )
- FINEX: A Fast Index for Exact & Flexible Density-Based ClusteringKonstantin Emil Thiel (University of Salzburg)*; Daniel Kocher (University of Salzburg); Nikolaus Augsten (University of Salzburg); Thomas Hütter (University of Salzburg); Willi Mann (Celonis SE); Daniel Schmitt (University of Salzburg)
- DBPA: A Benchmark for Transactional Database Performance AnomaliesShiyue Huang (Peking University)*; Ziwei Wang (Peking University); Xinyi Zhang (Peking University); Yaofeng Tu (ZTE Corporation); zhongliang Li (ZTE); Bin Cui (Peking University)
- Efficiently Computing Join Orders with Heuristic SearchImmanuel L Haffner (Saarland University, Saarland Informatics Campus)*; Jens Dittrich (Saarland University, Saarland Informatics Campus)
- T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big GraphLyuheng Yuan (University of Alabama at Birmingham); Da Yan (University of Alabama at Birmingham)*; wenwen qu (East China Norm University); Saugat Adhikari (The University of Alabama at Birmingham); Jalal Khalil (The University of Alabama at Birmingham); Cheng Long (Nanyang Technological University); Xiaoling Wang (East China Normal University)
- Discovering Similarity Inclusion DependenciesYouri Kaminsky (Hasso Plattner Institute)*; Eduardo H. M. Pena (UTFPR); Felix Naumann (Hasso Plattner Institute, University of Potsdam)
- Effective and Efficient PageRank-based Positioning for Graph VisualizationShiqi Zhang (National University of Singapore); Renchi Yang (Hong Kong Baptist University); Xiaokui Xiao (National University of Singapore)*; Xiao Yan (Southern University of Science and Technology); Bo Tang (Southern University of Science and Technology)
- Maximal Defective Clique EnumerationQiangqiang Dai (Beijing Institute of Technology); Ronghua Li (Beijing Institute of Technology)*; Meihao Liao (Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology)
- Efficient Biclique Counting in Large Bipartite GraphsXiaowei Ye (Beijing Institute of Technology); Ronghua Li (Beijing Institute of Technology)*; Qiangqiang Dai (Beijing Institute of Technology); Hongchao Qin (Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology)
- Double-Anonymous Sketch: Achieving Fairness for Finding Global Top-K Frequent ItemsYikai Zhao (Peking University)*; Wenchen Han (Peking University); Zheng Zhong (Peking University); Yinda Zhang (Peking University); Tong Yang (Peking University); Bin Cui (Peking University)
- Managing Conflicting Interests of Stakeholders in Influencer MarketingShixun Huang (RMIT); Junhao Gan (University of Melbourne); Zhifeng Bao (RMIT University)*; Wenqing Lin (Tencent)
- JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product EstimationFeiyu Wang (Peking University)*; Qizhi Chen (Peking University); Yuanpeng Li (Peking University); Tong Yang (Peking University); Yaofeng Tu (ZTE Corporation); Lian Yu (Peking University); Bin Cui (Peking University)
- Regularized Pairwise Relationship based Analytics for Structured DataZhaojing Luo (National University of Singapore); Shaofeng Cai (National University of Singapore); Yatong Wang (University of Electronic Science and Technology of China); Beng Chin Ooi (NUS)*
- Together is Better: Heavy Hitters Latency Quantile EstimationRana Shahout (Technion)*; Roy Friedman (Technion); Ran Ben Basat (UCL)
- Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data IntegrationJianhong Tu (Renmin University of China); Ju Fan (Renmin University of China)*; Nan Tang (Qatar Computing Research Institute, HBKU); Peng Wang (Renmin University of China); Guoliang Li (Tsinghua University); Xiaoyong Du (Renmin University of China); Jia Xiaofeng (Beijing Big Data Centre); Song Gao (Beijing Big Data Centre)
- Time Series Data ValidityYunxiang Su (Tsinghua University); Gong Yikun (Tsinghua); Shaoxu Song (Tsinghua University)*
- Making It Tractable to Catch Duplicates and Conflicts in GraphsWenfei Fan (Univ. of Edinburgh ); Wenzhi Fu (University of Edinburgh); Ruochun Jin (National University of Defense Technology); Muyang Liu (University of Edinburgh); Ping Lu (Beihang Univ.); Chao Tian (Chinese Academy of Sciences)*
- ST4ML: Machine Learning Oriented Spatio-Temporal Data Processing at ScaleKaiqi Liu (Nanyang Technological University)*; Panrong Tong (Alibaba Group); Mo Li (Nanyang Technological University); Yue Wu (Damo Academy, Alibaba Group); Jianqiang Huang (Alibaba Group)
- Learned Data-aware Image Representations of Line Charts for Similarity SearchYuyu Luo (Tsinghua University); Yihui Zhou (Tsinghua University); Nan Tang (Qatar Computing Research Institute, HBKU); Guoliang Li (Tsinghua University)*; Chengliang Chai (Tsinghua Univerisity); Leixian Shen (Tsinghua University)
- RLS Side Channels: Investigating Leakage of Row-Level Security Protected Data Through Query Execution TimeChen Dar (Tel Aviv University); Moshik Hershcovitch (Tel Aviv University & IBM Research); Adam Morrison (Tel Aviv University)*
- LightRW: FPGA Accelerated Graph Dynamic Random WalksHongshi Tan (National University of Singapore)*; Xinyu Chen (National University of Singapore); Yao Chen (Advanced Digital Sciences Center); Bingsheng He (National University of Singapore); Weng-Fai Wong (National University of Singapore)
- HybridPipe: Combining Human-generated and Machine-generated Pipelines for Data PreparationSibei Chen (Renmin University of China); Nan Tang (Qatar Computing Research Institute, HBKU); Ju Fan (Renmin University of China)*; Xuemi Yan (Renmin University of China); Chengliang Chai (Beijing Institute of Technology); Guoliang Li (Tsinghua University); Xiaoyong Du (Renmin University of China)
- Ready to Leap (by Co-Design)? Join Order Optimisation on Quantum HardwareManuel Schönberger (Technical University of Applied Sciences Regensburg)*; Stefanie Scherzinger (University of Passau); Wolfgang Mauerer (Technical University of Applied Sciences Regensburg / Siemens AG)
- Mining Geospatial Relationships from TextPasquale Balsebre (Nanyang Technological University)*; Dezhong Yao (Huazhong University of Science and Technology); Gao Cong (Nanyang Technological Univesity); Weiming Huang (Nanyang Technological University); Zhen Hai (DAMO Academy, Alibaba Group)
- Grep: A Graph Learning Based Database Partitioning SystemXuanhe Zhou (Tsinghua); Guoliang Li (Tsinghua University)*; Jianhua Feng (Tsinghua); luyang liu (Huawei); Guo Wei (Huawei)
- BALANCE: Bayesian Linear Attribution for Root Cause LocalizationChaoyu Chen (Ant Group); Hang Yu (Ant Group); Zhichao Lei (Ant Group); Jianguo Li (Ant Group)*; Shaokang Ren (Ant Group); Tingkai Zhang (Ant Group); Silin Hu (Ant Group); Jianchao Wang (Ant Group); Wenhui Shi (OceanBase)
- Efficient Tree-SVD for Subset Node Embedding over Large Dynamic GraphsXinyu Du (Chinese University of Hong Kong); Xingyi Zhang (The Chinese University of Hong Kong); Sibo Wang (The Chinese University of Hong Kong)*; Zengfeng Huang (Fudan University)
- AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series ForecastingXinle Wu (Aalborg Universigy); Dalin Zhang (Aalborg University); Miao Zhang (Aalborg University); Chenjuan Guo (Aalborg University); Bin Yang (Aalborg University)*; Christian S Jensen (Aalborg University)
- When Private Blockchain Meets Deterministic DatabaseZiliang Lai (Chinese University of Hong Kong)*; Chris Liu (Chinese University of Hong Kong); Eric Lo (Chinese University of Hong Kong)
- Hierarchical Residual Encoding for Multiresolution CompressionBruno Barbarioli (The University of Chicago)*; Gabriel Mersy (University of Chicago); Stavros Sintos (University of Illinois Chicago); Sanjay Krishnan (U Chicago)
- NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural NetworksSepanta Zeighami (University of Southern California)*; Cyrus Shahabi (Computer Science Department. University of Southern California); Vatsal Sharan (University of Southern California)
- INEv: In-Network Evaluation for Event Stream ProcessingSamira Akili (HU Berlin )*; Matthias Weidlich (Humboldt-Universität zu Berlin); Steven Purtzel (Humboldt-Universität zu Berlin)
- Graph Learning for Interaction Analysis in Smart Home Rule DataGuangjing Wang (Michigan State University)*; Nikolay Ivanov (Michigan State University); Qi Wang (uiuc); ThanhVu Nguyen (George Mason University); Qiben Yan (Michigan State University)
- dsJSON: A Distributed SQL JSON ProcessorMajid Saeedan (University of California, Riverside)*; Ahmed Eldawy (University of California, Riverside); Zhijia Zhao (University of California, Riverside)
- When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent MemoriesKe Wang (Yale University)*; Guanqun Yang (New York University); Yiwei Li (Tsinghua University); Huanchen Zhang (Tsinghua University); Mingyu Gao (Tsinghua University)
- Pontus: Finding Waves in Data StreamsZhengxin Zhang (Tsinghua University)*; Qing Li (Peng Cheng Laboratory); Guanglin Duan (Tsinghua); Dan Zhao (peng cheng laboratory ); Jingyu Xiao (Tsinghua University); Guorui Xie (Tsinghua University); Yong Jiang (Tsinghua University)
- FEAST: A Communication-efficient Federated Feature Selection Framework for Relational DataRui Fu (Beijing Institute of Technology); Yuncheng Wu (National University of Singapore); Quanqing Xu (OceanBase); Meihui Zhang (Beijing Institute of Technology)*
- Pea Hash: A Performant Extendible Adaptive Hashing IndexZhuoxuan Liu (University of Chinese Academy of Sciences)*; Shimin Chen (Chinese Academy of Sciences)
- Kepler: Robust Learning for Parametric Query OptimizationLyric Doshi (Google); Vincent Zhuang (Google)*; Gaurav Jain (Google); Ryan C Marcus (MIT); Haoyu Huang (Google); Deniz Altınbüken (Google); Eugene Brevdo (Google); Campbell Fraser (Google)
- Dumpy: A Compact and Adaptive Index for Large Data Series CollectionsZeyu Wang (Fudan University)*; Qitong Wang (Université Paris Cité ); Peng Wang (" Fudan University, China"); Themis Palpanas (Université Paris Cité); Wei Wang (" Fudan University, China")
- Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs
Chaemin Lim (Yonsei University);
Suhyun Lee (Yonsei University);
Jinwoo Choi (Yonsei University);
Jounghoo Lee (Yonsei University);
Seongyeon Park (Yonsei University);
Hanjun Kim (Yonsei University);
Jinho Lee (Seoul National University);
Youngsok Kim (Yonsei University);
- Parallel Strong Connectivity Based on Faster Reachability
Letong Wang (University of California, Riverside);
Xiaojun Dong (University of California, Riverside);
Yan Gu (UC Riverside);
Yihan Sun (University of California, Riverside);
- ForestTI: A Scalable Inverted-Index-Oriented Timeseries Management System with Flexible Memory Efficiency
Zhiqi Wang (The Chinese University of Hong Kong);
Zili Shao (The Chinese University of Hong Kong);
- Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation
Yiran Li (Hong Kong Polytechnic University);
Renchi Yang (Hong Kong Baptist University);
Jieming Shi (The Hong Kong Polytechnic University);
- DARQ Matter Binds Everything: Performant and Composable Cloud Programming via Resilient Steps
Tianyu Li (Massachusetts Institute of Technology);
Badrish Chandramouli (Microsoft Research);
Sebastian C Burckhardt (Microsoft Research);
Samuel Madden (MIT);
- BtrBlocks: Efficient Columnar Compression for Data Lakes
Maximilian Kuschewski (Technische Universität München);
David Sauerwein (Friedrich-Alexander-Universität Erlangen-Nürnberg);
Adnan Alhomssi (Friedrich-Alexander-Universität Erlangen-Nürnberg);
Viktor Leis (Technische Universität München);
- Practical Differentially Private and Byzantine-resilient Federated Learning
Zihang Xiang (King Abdullah University of Science and Technology);
Tianhao Wang (University of Virginia);
Wanyu Lin (The Hong Kong Polytechnic University);
Di Wang (KAUST);
- GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example
Saeed Fathollahzadeh (Graz University of Technology);
Matthias Boehm (Technische Universität Berlin);
- Efficient and Portable Einstein Summation in SQL
Mark Blacher (Friedrich Schiller University Jena);
Joachim Giesen (Friedrich Schiller University Jena);
Julien Klaus (Friedrich Schiller University Jena);
Christoph Staudt (Friedrich Schiller University Jena);
Sören Laue (Universität Hamburg);
Viktor Leis (Technische Universität München);
- Prerequisite-driven Fair Clustering on Heterogeneous Information Networks
Juntao Zhang (Wuhan University);
Sheng Wang (Wuhan University);
Yuan Sun (La Trobe University);
Zhiyong Peng (Wuhan University, China);
- Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy
Wei DONG (Hong Kong University of Science and Technology, Hong Kong);
Dajun Sun (hkust);
Ke Yi (Hong Kong Univ. of Science and Technology);
- A Step Toward Deep Online Aggregation
Nikhil Sheoran (University of Illinois at Urbana-Champaign);
Supawit Chockchowwat (University of Illinois at Urbana-Champaign);
Arav Chheda (University of Illinois at Urbana-Champaign);
Suwen Wang (University of Illinois Urbana-Champaign);
Riya Verma (University of Illinois at Urbana Champaign);
Yongjoo Park (University of Illinois at Urbana-Champaign);
- LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Zhichen Lai (Aalborg University);
Dalin Zhang (Aalborg University);
Huan Li (Aalborg University);
Christian S Jensen (Aalborg University);
Hua Lu (Roskilde University);
Yan Zhao (Aalborg University);
- rkHit: Representative Query with Uncertain Preference
Xingxing Xiao (Harbin Institute of Technology);
Jianzhong Li (Harbin Institute of Technology);
- HR-Index: An Effectiveness Index Method for Historical Reachability Queries over Evolving Graphs
Yajun Yang (Tianjin University);
Hanxiao Li (Tianjin University);
Xiangjv Zhu (Tianjin University);
Junhu Wang (Griffith University, australia);
Xin Wang (Tianjin University);
Hong Gao (Zhejiang Normal University);
- Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines
Stefan Grafberger (University of Amsterdam);
Paul Groth (University of Amsterdam);
Sebastian Schelter (University of Amsterdam);
- A Framework for Privacy Preserving Localized Graph Pattern Query Processing
Lyu Xu (Hong Kong Baptist University);
Byron Choi (Hong Kong Baptist University);
Yun PENG (Guangzhou University);
Jianliang Xu (Hong Kong Baptist University);
Sourav S Bhowmick (Nanyang Technological University);
- T-Rex: Optimizing Pattern Search on Time Series
Silu Huang (Microsoft Research);
Erkang Zhu (Microsoft Research);
Surajit Chaudhuri (Microsoft);
Leonhard Spiegelberg (Brown University);
- Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA
Tobias Ziegler (TU Darmstadt);
Jacob J Nelson (Lehigh University);
Viktor Leis (Technische Universität München);
Carsten Binnig (TU Darmstadt);
- Theories and Principles Matter: Towards Visually Appealing and Effective Abstraction of Property Graph Queries
Jiebing Ma (NTU);
Sourav S Bhowmick (Nanyang Technological University);
Byron Choi (Hong Kong Baptist University);
Lester Tay (NTU);
- Efficient Star-based Truss Maintenance on Dynamic Graphs
Zitan Sun (HKBU);
Xin Huang (Hong Kong Baptist University);
Qing Liu (Zhejiang University);
Jianliang Xu (Hong Kong Baptist University);
- QaaD (Query-as-a-Data): Scalable Execution of Massive Number of Small Queries in Spark
Yeonsu Park (POSTECH);
Byungchul Tak (Kyungpook National University);
Wook-Shin Han (POSTECH);
- Exploratory Training: When Annonators Learn About Data
Rajesh Shrestha (Oregon State University);
Omeed Habibelahian (Oregon State University);
Arash Termehchy (Oregon State University);
Paolo Papotti (Eurecom);
- Predicate Pushdown for Data Science Pipelines
Cong Yan (Microsoft research);
Yin Lin (University of Michigan);
Yeye He (Microsoft Research);
- High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations
Jianyang Gao (Nanyang Technological University);
Cheng Long (Nanyang Technological University);
- Hereditary Cohesive Subgraphs Enumeration on Bipartite Graphs: The Power of Pivot-based Approaches
Qiangqiang Dai (Beijing Institute of Technology);
Ronghua Li (Beijing Institute of Technology);
Xiaowei Ye (Beijing Institute of Technology);
Meihao Liao (Beijing Institute of Technology);
Weipeng Zhang (Tencent Technology (Shenzhen) Company Limited);
Guoren Wang (Beijing Institute of Technology);
- Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices
Hai Lan (RMIT University);
Zhifeng Bao (RMIT University);
Shane Culpepper (RMIT University);
Renata Borovica-Gajic (University of Melbourne);
- InfiniFilter: Expanding Filters to Infinity and Beyond
Niv Dayan (University of Toronto);
Ioana Bercea (IT University of Copenhagen);
Pedro Reviriego (Universidad Carlos III de Madrid);
Rasmus Pagh (University of Copenhagen);
- Shortest Paths Discovery in Uncertain Networks via Transfer Learning
Shixun Huang (RMIT);
Zhifeng Bao (RMIT University);
- PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy
Kuntai Cai (National University of Singapore);
Xiaokui Xiao (National University of Singapore);
Graham Cormode (University of Warwick);
- Scalable and Efficient Full-Graph GNN Training for Large Graphs
Xinchen Wan (HKUST);
Kaiqiang Xu (HKUST);
Xudong Liao (HKUST);
Yilun Jin (The Hong Kong University of Science and Technology);
Kai Chen (HKUST);
Xin Jin (Peking University);
- ML2DAC: Meta-Learning to Democratize AutoML for Clustering Analysis
Dennis Tschechlov (Universität Stuttgart);
Manuel Fritz (Carl Zeiss SMT GmbH);
Holger Schwarz (Universität Stuttgart);
Bernhard Mitschang (University of Stuttgart);
- OM^3: An Ordered Multi-level Min-Max Representation for Interactive Progressive Visualization of Time Series
Yunhai Wang (Shandong University);
Yuchun Wang (Shandong University);
Xin Chen (Shandong University);
Yue Zhao (Shandong University);
Fan Zhang (Shandong Technology and Business University);
Eugene Wu (Columbia University);
Chi-Wing Fu (The Chinese University of Hong Kong);
Xiaohui Yu (York University);
- Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization
YeXin Wang (Peking University);
Zhi Yang (Peking University);
Liu Junqi (Peking University);
Wentao Zhang (Peking University);
Bin Cui (Peking University);
- Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning
zihui gu (Renmin University of China);
Ju Fan (Renmin University of China);
Nan Tang (Qatar Computing Research Institute, HBKU);
Lei Cao (MIT);
Bowen Jia (Renmin University of China);
Samuel Madden (MIT);
Xiaoyong Du (Renmin University of China);
- Detock: High Performance Multi-region Transactions at Scale
Cuong D. T. Nguyen (University of Maryland);
Johann K Miller (University of Maryland);
Daniel J Abadi (UMD);
- Measuring Re-identification Risk
CJ Carey (Google);
Travis Dick (University of Pennsylvania);
Alessandro Epasto (Google inc);
Adel Javanmard (USC/ Google);
Josh Karlin (Google);
Shankar Kumar (Google);
Vahab Mirrokni (Google);
andres munoz (Google);
Gabriel H Nunes (UFMG);
Sergei Vassilvitskii (Google);
Peilin Zhong (Google Research);
- Free Join: Unifying Worst-Cast Optimal and Traditional Joins
Yisu R Wang (University of Washington);
Max Willsey (University of Washington);
Dan Suciu (University of Washington);
- Generalizing Bulk-Synchronous Parallel Processing for Data Science: from data to threads and agent-based simulations
Zilu Tian (EPFL);
Christoph Koch (EPFL, Switzerland);
Val Tannen (University of Pennsylvania);
Peter Lindner (EPFL);
Markus Nissl (TU Wien);
- Exploiting Structure in Regular Expression Queries
Ling Zhang (University of Wisconsin Madison);
Shaleen Deep (Microsoft Gray Systems Lab);
Avrilia Floratou (Microsoft);
Anja Gruenheid (Microsoft);
Jignesh Patel (UW - Madison);
Yiwen Zhu (Microsoft);
- Computing the Difference of Conjunctive Queries Efficiently
Xiao Hu (University of Waterloo);
Qichen Wang (Hong Kong Baptist University);
- Global and Local Differentially Private Release of Count-Weighted Graphs
Felipe Brito (LSBD/UFC);
Victor Farias (Universidade Federal do Ceara);
Cheryl Flynn (AT&T Labs Research);
Javam C Machado (LSBD/UFC);
Subhabrata Majumdar (Splunk);
Divesh Srivastava (AT&T Chief Data Office);
- QHL: A Fast Algorithm for Exact Constrained Shortest Path Search on Road Networks
Libin Wang (Hong Kong University of Science and Technology);
Raymond Chi-Wing Wong (Hong Kong University of Science and Technology);
- XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma (HKUST);
Rui Ding (Microsoft Research);
Shuai Wang (HKUST);
Shi Han (Microsoft Research);
Dongmei Zhang (Microsoft Research Asia);
- GoodCore: Coreset Selection over Incomplete Data for Data-effective and Data-efficient Machine Learning
Chengliang Chai (Beijing Institute of Technology);
Jiabin Liu (Tsinghua University);
Nan Tang (Qatar Computing Research Institute, HBKU);
Ju Fan (Renmin University of China);
dongjing miao (哈尔滨工业大学);
Jiayi Wang (Tsinghua University);
Yuyu Luo (Tsinghua University);
Guoliang Li (Tsinghua University);
- Incentive-Aware Decentralized Data Collaboration
Yatong Wang (University of Electronic Science and Technology of China);
Yuncheng Wu (National University of Singapore);
Xincheng Chen (National University of Singapore);
Gang Feng (University of Electronic Science and Technology of China);
Beng Chin Ooi (NUS);
- Deep Active Alignment of Knowledge Graph Entities and Schemata
Jiacheng Huang (Nanjing University);
Zequn Sun (Nanjing University);
Qijin Chen (Alibaba Group);
Xiaozhou Xu (Alibaba Group);
Weijun Ren (Alibaba Group);
Wei Hu (Nanjing University);
- Efficient Personalized PageRank Computation: The Power of Variance-Reduced Monte Carlo Approaches
Meihao Liao (Beijing Institute of Technology);
Ronghua Li (Beijing Institute of Technology);
Qiangqiang Dai (Beijing Institute of Technology);
Hongyang Chen (Zhejiang Lab);
Hongchao Qin (Beijing Institute of Technology);
Guoren Wang (Beijing Institute of Technology);
- Using Cloud Functions as Accelerator for Elastic Data Analytics
Haoqiong Bian (EPFL);
Tiannan Sha (EPFL);
Anastasia Ailamaki (EPFL);
- Data Stream Clustering: An In-depth Empirical Study
Xin Wang (Ohio State University);
Zhengru Wang (NVIDIA);
Zhenyu Wu (The University of Manchester);
Shuhao Zhang (Singapore University of Technology and Design);
Xianzhi Zeng (Singapore University of Technology and Design);
Zhonghao Yang (Singapore University of Technology and Design);
Haolan He (Singapore University of Technology and Design);
wu yuhao (SUTD);
Xuanhua Shi (Huazhong University of Science and Technology);
Li Lu (Sichuan University);
- EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs
Haoyang Li (The Hong Kong University of Science and Technology);
Lei Chen (Hong Kong University of Science and Technology);
- Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation
Sheng Bi (ShenZhen University);
Hao Liao (Shenzhen University);
Jiao Wu (Shenzhen University);
Wei Zhang (Shenzhen University);
Mingyang Zhou (Shenzhen University);
Rui Mao (Shenzhen University);
Wei Chen (Microsoft);
- FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication
Kaihao Ma (The Chinese University of Hong Kong);
Xiao Yan (Southern University of Science and Technology);
Zhenkun Cai (The Chinese University of Hong Kong);
Yuzhen Huang (Meta);
Yidi Wu (Meta Platforms, Inc);
James Cheng (CUHK);
- DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with GPU
Xin Zhang (Hong Kong University of Science and Technology);
Yanyan Shen (Shanghai Jiao Tong University);
Yingxia Shao (BUPT);
Lei Chen (Hong Kong University of Science and Technology);
- GuP: Fast Subgraph Matching by Guard-based Pruning
Junya Arai (Nippon Telegraph and Telephone Corporation);
Yasuhiro Fujiwara (NTT Communication Science Laboratories);
Makoto Onizuka (Osaka University);
- DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning
Zhaomin Wu (National University of Singapore);
Junhui Zhu (National University of Singapore);
Qinbin Li (National University of Singapore);
Bingsheng He (National University of Singapore);
- Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery
Yichen Xu (Chinese University of Hong Kong, Shenzhen);
Chenhao Ma (The Chinese University of Hong Kong, Shenzhen);
Yixiang Fang (School of Data Science, The Chinese University of Hong Kong, Shenzhen);
Zhifeng Bao (RMIT University);
- On Querying Connected Components in Large Temporal Graphs
Haoxuan Xie (The Chinese University of Hong Kong, Shenzhen);
Yixiang Fang (School of Data Science, The Chinese University of Hong Kong, Shenzhen);
Yuyang Xia (The Chinese University of Hong Kong, Shenzhen);
Wensheng Luo (School of Data Science, The Chinese University of Hong Kong, Shenzhen);
Chenhao Ma (The Chinese University of Hong Kong, Shenzhen);
- LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation
David Campos (Aalborg University);
Miao Zhang (Aalborg University);
Bin Yang (Aalborg University);
Tung Kieu (Aalborg University);
Chenjuan Guo (Aalborg University);
Christian S Jensen (Aalborg University);
- Data-Sharing Markets: Model, Protocol, and Algorithms to Incentivize the Formation of Data-Sharing Consortia
Raul Castro Fernandez (The University of Chicago);
- Ghost: A General Framework for High-Performance Online Similarity Queries over Distributed Trajectory Streams
Ziquan Fang (Zhejiang University);
Shenghao Gong (Zhejiang University, China);
Lu Chen (Zhejiang University);
Xu Jiachen (Zhejiang University);
Yunjun Gao (Zhejiang University);
Christian S Jensen (Aalborg University);
- LAQy: Efficient and Reusable Query Approximations via Lazy Sampling
Viktor Sanca (EPFL);
Periklis Chrysogelos (EPFL);
Anastasia Ailamaki (EPFL);
- Mitigating Filter Bubbles Under a Competitive Diffusion Model
Prithu Banerjee (UBC);
Wei Chen (Microsoft);
Laks V.S. Lakshmanan (The University of British Columbia);
- SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation
Jia Li (Hong Kong University of Science and Technology);
Yanyan Shen (Shanghai Jiao Tong University);
Lei Chen (Hong Kong University of Science and Technology);
Charles Wang Wai Ng (Hong Kong University of Science and Technology);
- Maestro: Automatic Generation of Comprehensive Benchmarks for Question Answering Over Knowledge Graphs
Abdelghny Orogat (Carleton University);
Ahmed El-Roby (Carleton University);
- Selection Pushdown in Column Stores using Bit Manipulation Instructions
Yinan Li (Microsoft Research);
Jianan Lu (Princeton University);
Badrish Chandramouli (Microsoft Research);
- Near-Duplicate Sequence Search at Scale for Neural Language Model Memorization Evaluation
Zhencan Peng (Rutgers University);
Zhizhi Wang (Rutgers University);
Dong Deng (Rutgers Universituy - New Brunswick);
- Query-Guided Resolution of Uncertain Databases
Osnat Drien (Bar Ilan University);
Matanya Freiman (Bar Ilan University);
Antoine Amarilli (LTCI, Télécom ParisTech);
Yael Amsterdamer (Bar-Ilan University);
- Efficient GPU-Accelerated Subgraph Matching
Xibo Sun (Hong Kong University of Science and Technology);
Qiong Luo (Hong Kong University of Science and Technology);
- Hamming Tree: The case for Energy-Aware Indexing for NVMs
Saeed Kargar (UCSC);
Faisal Nawab (University of California at Irvine);
- DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data
Peng Li (GATECH);
Zhiyi Chen (Georgia Institute of Technology);
Xu Chu (GATECH);
Kexin Rong (Georgia Institute of Technology);
- GraphINC: Graph Pattern Mining at Network Speed
Rana Hussein (University of Fribourg);
Alberto Lerner (University of Friborug);
Andre Ryser (University of Fribourg);
Lucas David Bürgi (University Fribourg);
Albert Blarer (ArmaSuisse);
Philippe Cudre-Mauroux (University of Fribourg, Switzerland);
- Efficient Query Re-optimization with Judicious Subquery Selections
Junyi Zhao (Tsinghua University);
Huanchen Zhang (Tsinghua University);
Yihan Gao (Tsinghua University);
- A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning
Xinyi Zhang (Peking University);
Zhuo Chang (Peking University);
HONG WU (Alibaba);
Yang Li (Tencent Inc.);
Jia Chen (Peking University);
Jian Tan (Alibaba);
Feifei Li (Alibaba Group);
Bin Cui (Peking University);
- WISK: A Workload-aware Learned Index for Spatial Keyword Queries
Yufan Sheng (University of New South Wales);
Xin Cao (University of New South Wales);
Yixiang Fang (School of Data Science, The Chinese University of Hong Kong, Shenzhen);
Kaiqi Zhao (University of Auckland);
Jianzhong Qi (The University of Melbourne);
Gao Cong (Nanyang Technological Univesity);
Wenjie Zhang (University of New South Wales);
- DAMR: Dynamic Adjacency Matrix Representation Learning for Multivariate Time Series Imputation
Xiaobin Ren (The University of Auckland);
Kaiqi Zhao (University of Auckland);
Patricia J Riddle (University of Auckland, New Zealand);
Katerina Taskova (The University of Auckland);
Qingyi Pan (Tsinghua University);
Lianyan Li (University of Auckland);