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ORCID39th ICDE 2023: Anaheim, CA, USA
- 39th IEEE International Conference on Data Engineering, ICDE 2023, Anaheim, CA, USA, April 3-7, 2023. IEEE 2023, ISBN 979-8-3503-2227-9
- Tran Ba Trung, Lijun Chang, Nguyen Tien Long, Kai Yao, Huynh Thi Thanh Binh:
Verification-Free Approaches to Efficient Locally Densest Subgraph Discovery. 1-13 - Zirui Liu, Chaozhe Kong, Kaicheng Yang, Tong Yang, Ruijie Miao, Qizhi Chen, Yikai Zhao, Yaofeng Tu, Bin Cui:
HyperCalm Sketch: One-Pass Mining Periodic Batches in Data Streams. 14-26 - Yuanning Gao, Xiuqi Huang, Xuanhe Zhou, Xiaofeng Gao, Guoliang Li, Guihai Chen:
DBAugur: An Adversarial-based Trend Forecasting System for Diversified Workloads. 27-39 - Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen:
Sequential Recommendation with User Causal Behavior Discovery. 28-40 - Zhijun Chen, Hailong Sun, Haoqian He, Pengpeng Chen:
Learning from Noisy Crowd Labels with Logics. 41-52 - Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue:
AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. 53-66 - Chao Zhang, Angela Bonifati, Hugo Kapp, Vlad Ioan Haprian, Jean-Pierre Lozi:
A Reachability Index for Recursive Label-Concatenated Graph Queries. 67-81 - Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou:
Instant Representation Learning for Recommendation over Large Dynamic Graphs. 82-95 - Shangfei Zheng, Weiqing Wang
, Jianfeng Qu, Hongzhi Yin, Wei Chen, Lei Zhao:
MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning. 96-109 - Yuankai Fan, Zhenying He, Tonghui Ren, Dianjun Guo, Lin Chen, Ruisi Zhu, Guanduo Chen, Yinan Jing, Kai Zhang, X. Sean Wang:
Gar: A Generate-and-Rank Approach for Natural Language to SQL Translation. 110-122 - Zetao Zheng, Jie Shao, Jia Zhu, Heng Tao Shen:
Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction. 123-136 - You Peng, Xuemin Lin, Michael Yu, Wenjie Zhang, Lu Qin:
TDB: Breaking All Hop-Constrained Cycles in Billion-Scale Directed Graphs. 137-150 - Zhenkun Yang, Chen Qian, Xuwang Teng, Fanyu Kong, Fusheng Han, Quanqing Xu:
LCL: A Lock Chain Length-based Distributed Algorithm for Deadlock Detection and Resolution. 151-163 - Daren Chao, Yueting Chen, Nick Koudas, Xiaohui Yu:
Track Merging for Effective Video Query Processing. 164-176 - Qingqiang Sun, Xuemin Lin, Ying Zhang, Wenjie Zhang, Chaoqi Chen:
Towards Higher-order Topological Consistency for Unsupervised Network Alignment. 177-190 - Ke Meng, Liang Geng, Xue Li, Qian Tao, Wenyuan Yu, Jingren Zhou:
Efficient Multi-GPU Graph Processing with Remote Work Stealing. 191-204 - Yuxiao Ye, Chi Harold Liu, Zipeng Dai, Jianxin Zhao, Ye Yuan, Guoren Wang, Jian Tang:
Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning. 205-217 - Cédric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang:
Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise. 218-231 - Xue Li, Ke Meng, Lu Qin, Longbin Lai, Wenyuan Yu, Zhengping Qian, Xuemin Lin, Jingren Zhou:
Flash: A Framework for Programming Distributed Graph Processing Algorithms. 232-244 - Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Yongheng Dai:
Explainable Hyperlink Prediction: A Hypergraph Edit Distance-Based Approach. 245-257 - Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi:
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. 246-258 - Mohammad Javad Amiri, Ziliang Lai, Liana Patel, Boon Thau Loo, Eric Lo, Wenchao Zhou:
Saguaro: An Edge Computing-Enabled Hierarchical Permissioned Blockchain. 259-272 - Lin Hu, Lei Zou, M. Tamer Özsu:
GAMMA: A Graph Pattern Mining Framework for Large Graphs on GPU. 273-286 - Wensheng Luo, Zhuo Tang, Yixiang Fang, Chenhao Ma, Xu Zhou:
Scalable Algorithms for Densest Subgraph Discovery. 287-300 - Suyash Gupta, Sajjad Rahnama, Erik Linsenmayer, Faisal Nawab, Mohammad Sadoghi:
Reliable Transactions in Serverless-Edge Architecture. 301-314 - Jiake Ge, Boyu Shi, Yanfeng Chai, Yuanhui Luo, Yunda Guo, Yinxuan He, Yunpeng Chai:
Cutting Learned Index into Pieces: An In-depth Inquiry into Updatable Learned Indexes. 315-327 - Youhuan Li, Hangyu Zheng, Lei Zou, Xiaosen Li, Ziming Li, Pin Xiao, Yangyu Tao, Zheng Qin:
VEND: Vertex Encoding for Edge Nonexistence Determination. 328-340 - Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Lydia Y. Chen:
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. 341-354 - Yinan Mei, Shaoxu Song, Chenguang Fang, Ziheng Wei, Jingyun Fang, Jiang Long:
Discovering Editing Rules by Deep Reinforcement Learning. 355-367 - Jiajia Li, Xing Xiong, Lei Li, Dan He, Chuanyu Zong, Xiaofang Zhou:
Finding Top-k Optimal Routes with Collective Spatial Keywords on Road Networks. 368-380 - Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao:
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction. 381-393 - Jianing Zhang, Zhaojing Luo, Quanqing Xu, Meihui Zhang:
PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning. 394-407 - Yu Zhang, Feng Zhang, Hourun Li, Shuhao Zhang, Xiaoyong Du:
CompressStreamDB: Fine-Grained Adaptive Stream Processing without Decompression. 408-422 - Qi Luo, Dongxiao Yu, Yu Liu, Yanwei Zheng, Xiuzhen Cheng, Xuemin Lin:
Finer-Grained Engagement in Hypergraphs. 423-435 - Qiang Huang, Anthony K. H. Tung:
Lightweight-Yet-Efficient: Revitalizing Ball-Tree for Point-to-Hyperplane Nearest Neighbor Search. 436-449 - Enzo Veltri, Gilbert Badaro, Mohammed Saeed, Paolo Papotti:
Data Ambiguity Profiling for the Generation of Training Examples. 450-463 - Morteza Alipour Langouri, Adam Mansfield, Fei Chiang, Yinghui Wu:
Inconsistency Detection with Temporal Graph Functional Dependencies. 464-476 - Yuechen Tao, Bo Li, Baochun Li:
On Sharding Across Heterogeneous Blockchains. 477-489 - Mohammad Javad Amiri, Daniel Shu, Sujaya Maiyya, Divyakant Agrawal, Amr El Abbadi:
Ziziphus: Scalable Data Management Across Byzantine Edge Servers. 490-502 - Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez:
Ver: View Discovery in the Wild. 503-516 - Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chenxing Wang:
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks. 517-529 - Fangyu Gai, Jianyu Niu, Ivan Beschastnikh, Chen Feng, Sheng Wang:
Scaling Blockchain Consensus via a Robust Shared Mempool. 530-543 - Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan:
Voting-based Opinion Maximization. 544-557 - Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu:
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. 558-571 - Xi Liang, Stavros Sintos, Sanjay Krishnan:
JanusAQP: Efficient Partition Tree Maintenance for Dynamic Approximate Query Processing. 572-584 - Qi Zhang, Rong-Hua Li, Hongchao Qin, Yongheng Dai, Ye Yuan, Guoren Wang:
Neighborhood Skyline on Graphs: Concepts, Algorithms and Applications. 585-598 - Qianzhen Zhang, Deke Guo, Xiang Zhao, Long Yuan, Lailong Luo:
Discovering Frequency Bursting Patterns in Temporal Graphs. 599-611 - Ai-Te Kuo, Haiquan Chen, Wei-Shinn Ku:
BERT-Trip: Effective and Scalable Trip Representation using Attentive Contrast Learning. 612-623 - Shikha Anirban, Junhu Wang, Md. Saiful Islam:
Experimental Evaluation of Indexing Techniques for Shortest Distance Queries on Road Networks. 624-636 - Zewen Sun, Zhifang Li, Chuliang Weng:
Co-Utilizing SIMD and Scalar to Accelerate the Data Analytics Workloads. 637-649 - Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda:
Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. 638-652 - Jiayao Zhang, Haocheng Xia, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren:
Dynamic Shapley Value Computation. 639-652 - George Papadakis, Marco Fisichella, Franziska Schoger, George Mandilaras, Nikolaus Augsten, Wolfgang Nejdl:
Benchmarking Filtering Techniques for Entity Resolution. 653-666 - Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal:
Jointly Attacking Graph Neural Network and its Explanations. 654-667 - Jie Liang, Yaoguang Chen, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, Yu Jiang, Xiangdong Huang, Ting Chen, Jiashui Wang, Jiajia Li:
Sequence-Oriented DBMS Fuzzing. 668-681 - Carl Yang, Jiawei Han:
Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks. 682-695 - Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng:
CLDG: Contrastive Learning on Dynamic Graphs. 696-707 - Yiru Chen, Silu Huang:
TSExplain: Explaining Aggregated Time Series by Surfacing Evolving Contributors. 708-720 - Yuanzhe Zhang, Shirui Pan, Jiangshan Yu:
TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems. 721-733 - Keqiang Li, Siyang Weng, Peiyuan Liu, Lyu Ni, Chengcheng Yang, Rong Zhang, Xuan Zhou, Jianghang Lou, Gui Huang, Weining Qian, Aoying Zhou:
Leopard: A Black-Box Approach for Efficiently Verifying Various Isolation Levels. 722-735 - Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong:
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection. 736-748 - Bin Liu, Bang Wang:
Bayesian Negative Sampling for Recommendation. 749-761 - Jiujing Zhang, Shiyu Yang, Dian Ouyang, Fan Zhang, Xuemin Lin, Long Yuan:
Hop-Constrained s-t Simple Path Enumeration on Large Dynamic Graphs. 762-775 - Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye:
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. 776-788 - Jiadong Xie, Fan Zhang, Kai Wang, Xuemin Lin, Wenjie Zhang:
Minimizing the Influence of Misinformation via Vertex Blocking. 789-801 - Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang:
Personalized Diversification for Neural Re-ranking in Recommendation. 802-815 - Xiao He, Jian Tan, Bin Wu, Feifei Li, Xinping Zhang, Gaozhong Liang, Jinfeng Xu:
Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution. 816-828 - Yuqi Chen, Hanyuan Zhang, Weiwei Sun, Baihua Zheng:
RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer. 829-842 - Jiawei Jiang, Dayan Pan, Houxing Ren, Xiaohan Jiang, Chao Li, Jingyuan Wang:
Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics. 843-855 - You Peng, Zhuo Ma, Wenjie Zhang, Xuemin Lin, Ying Zhang, Xiaoshuang Chen:
Efficiently Answering Quality Constrained Shortest Distance Queries in Large Graphs. 856-868 - Dingyuan Shi, Nan Zhou, Yongxin Tong, Zimu Zhou, Yi Xu, Ke Xu:
Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework. 869-881 - Yipeng Xing, Yongkun Li, Zhiqiang Wang, Yinlong Xu, John C. S. Lui:
LightTraffic: On Optimizing CPU-GPU Data Traffic for Efficient Large-scale Random Walks. 882-895 - You Peng, Jeffrey Xu Yu, Sibo Wang:
PSPC: Efficient Parallel Shortest Path Counting on Large-Scale Graphs. 896-908 - Qing Liu, Xuankun Liao, Xin Huang, Jianliang Xu, Yunjun Gao:
Distributed (α, β)-Core Decomposition over Bipartite Graphs. 909-921 - Jeyhun Karimov, Hans-Arno Jacobsen:
SASPAR: Shared Adaptive Stream Partitioning. 922-935 - Lennart Behme, Saravanan Thirumuruganathan, Alireza Rezaei Mahdiraji, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines. 936-949 - Xianzhi Zeng, Shuhao Zhang:
Parallelizing Stream Compression for IoT Applications on Asymmetric Multicores. 950-964 - Huaijie Zhu, Wei Liu, Jian Yin, Ningning Cui, Jianliang Xu, Xin Huang, Wang-Chien Lee:
Keyword-based Socially Tenuous Group Queries. 965-977 - Shuoyao Zhai, Baichuan Liu, Deqing Yang, Yanghua Xiao:
Group Buying Recommendation Model Based on Multi-task Learning. 978-991 - Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu:
Uncertainty Quantification for Traffic Forecasting: A Unified Approach. 992-1004 - Zichong Li, Lan Zhang, Mu Yuan, Miaohui Song, Qi Song:
Efficient Deep Ensemble Inference via Query Difficulty-dependent Task Scheduling. 1005-1018 - Wenwen Qu, Weixi Zhang, Ji Cheng, Chaorui Zhang, Wei Han, Bo Bai, Chen Jason Zhang, Liang He, Xiaoling Wang:
Optimizing Graph Partition by Optimal Vertex-Cut: A Holistic Approach. 1019-1031 - Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Zhiyu Liang, Chunnan Wang, Xinyue Shao, Zheng Liang:
TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection. 1032-1044 - Manuel Widmoser, Daniel Kocher, Nikolaus Augsten, Willi Mann:
MetricJoin: Leveraging Metric Properties for Robust Exact Set Similarity Joins. 1045-1058 - Huiqun Huang, Suining He, Mahan Tabatabaie:
Extreme-Aware Local-Global Attention for Spatio-Temporal Urban Mobility Learning. 1059-1070 - Zhikai Wang, Yanyan Shen:
Incremental Learning for Multi-Interest Sequential Recommendation. 1071-1083 - Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish:
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. 1084-1097 - Yijie Zhong, Zhirong Shen, Zixiang Yu, Jiwu Shu:
Redesigning High-Performance LSM-based Key-Value Stores with Persistent CPU Caches. 1098-1111 - Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates:
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. 1112-1125 - Guangyu Zhang, Chunhua Li, Ke Zhou, Li Liu, Ce Zhang, Wancheng Chen, Haotian Fang, Bin Cheng, Jie Yang, Jiashu Xing:
DBCatcher: A Cloud Database Online Anomaly Detection System based on Indicator Correlation. 1126-1139 - Tian Jiang, Xiangdong Huang, Shaoxu Song, Chen Wang, Jianmin Wang, Ruibo Li, Jincheng Sun:
Non-Blocking Raft for High Throughput IoT Data. 1140-1152 - Bala Gurumurthy, David Broneske, Gabriel Campero Durand, Thilo Pionteck, Gunter Saake:
ADAMANT: A Query Executor with Plug-In Interfaces for Easy Co-processor Integration. 1153-1166 - Yunjun Gao, Pengfei Wang, Xiaocan Zeng, Lu Chen, Yuren Mao, Ziheng Wei, Miao Li:
Towards Explainable Table Interpretation Using Multi-view Explanations. 1167-1179 - Yi Yang, Yurong Cheng, Yeru Yang, Ye Yuan, Guoren Wang:
Batch-Based Cooperative Task Assignment in Spatial Crowdsourcing. 1180-1192 - Chenyang Zhang, Feng Zhang, Kuangyu Chen, Mingjun Chen, Bingsheng He, Xiaoyong Du:
EdgeNN: Efficient Neural Network Inference for CPU-GPU Integrated Edge Devices. 1193-1207 - Hemant Saxena, Lukasz Golab, Stratos Idreos, Ihab F. Ilyas:
Real-Time LSM-Trees for HTAP Workloads. 1208-1220 - Yuxia Geng, Jiaoyan Chen, Jeff Z. Pan, Mingyang Chen, Song Jiang, Wen Zhang, Huajun Chen:
Relational Message Passing for Fully Inductive Knowledge Graph Completion. 1221-1233 - Haodi Zhang, Wenxi Huang, Zhenhan Su, Junyang Chen, Di Jiang, Lixin Fan, Chen Zhang, Defu Lian, Kaishun Wu:
Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd. 1234-1246 - Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao:
Layer-refined Graph Convolutional Networks for Recommendation. 1247-1259 - Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong:
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. 1260-1272 - Lingling Zhang, Zhiwei Zhang, Guoren Wang, Ye Yuan:
Efficiently Sampling and Estimating Hypergraphs By Hybrid Random Walk. 1273-1285 - Jan Tönshoff, Neta Friedman, Martin Grohe, Benny Kimelfeld:
Stable Tuple Embeddings for Dynamic Databases. 1286-1299 - Jianqiu Xu, Raymond Chi-Wing Wong:
Efficiently Answering Top-k Window Aggregate Queries: Calculating Coverage Number Sequences over Hierarchical Structures. 1300-1312 - Renjie Sun, Chen Chen, Xiaoyang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin:
Efficient Maximum Signed Biclique Identification. 1313-1325 - Tarikul Islam Papon, Manos Athanassoulis:
ACEing the Bufferpool Management Paradigm for Modern Storage Devices. 1326-1339 - Yue Cui, Shuhao Li, Wenjin Deng, Zhaokun Zhang, Jing Zhao, Kai Zheng, Xiaofang Zhou:
ROI-demand Traffic Prediction: A Pre-train, Query and Fine-tune Framework. 1340-1352 - Huanhuan Peng, Xiaoye Miao, Lu Chen, Yunjun Gao, Jianwei Yin:
Pricing Prediction Services for Profit Maximization with Incomplete Information. 1353-1365 - Qi Chen, Hao Hu, Cai Deng, Dingbang Liu, Shiyi Li, Bo Tang, Ting Yao, Wen Xia:
EEPH: An Efficient Extendible Perfect Hashing for Hybrid PMem-DRAM. 1366-1378 - Daren Chao, Nick Koudas, Xiaohui Yu:
Marshalling Model Inference in Video Streams. 1379-1392 - Bernardo Breve, Loredana Caruccio, Stefano Cirillo, Vincenzo Deufemia, Giuseppe Polese:
IndiBits: Incremental Discovery of Relaxed Functional Dependencies using Bitwise Similarity. 1393-1405 - Haoren Zhu, Hao Ge, Xiaodong Gu, Pengfei Zhao, Dik Lun Lee:
Influential Recommender System. 1406-1419 - Tianyue Ren, Xu Zhou, Kenli Li, Yunjun Gao, Ji Zhang, Keqin Li:
Efficient Cross Dynamic Task Assignment in Spatial Crowdsourcing. 1420-1432 - Damien A. Dablain, Colin Bellinger, Bartosz Krawczyk, Nitesh V. Chawla:
Efficient Augmentation for Imbalanced Deep Learning. 1433-1446