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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 - Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long:
Most Probable Densest Subgraphs. 1447-1460 - Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, Franck Cappello:
A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets. 1461-1474 - Aneesh Raman, Subhadeep Sarkar, Matthaios Olma, Manos Athanassoulis:
Indexing for Near-Sorted Data. 1475-1488 - Karim Benouaret, Kian-Lee Tan:
Probabilistic Majority Rule-Based Group Recommendation. 1489-1501 - Runhui Wang, Yuliang Li, Jin Wang:
Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and Preparation. 1502-1515 - Khaled Mohammed Saifuddin, Briana Bumgardner, Farhan Tanvir, Esra Akbas:
HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network. 1503-1516 - Guangjing Wang, Hanqing Guo, Anran Li, Xiaorui Liu, Qiben Yan:
Federated IoT Interaction Vulnerability Analysis. 1517-1530 - Pranay Mundra, Jianhao Zhang, Fatemeh Nargesian, Nikolaus Augsten:
Koios: Top-k Semantic Overlap Set Search. 1531-1543 - Satadisha Saha Bhowmick, Eduard C. Dragut, Weiyi Meng:
Globally Aware Contextual Embeddings for Named Entity Recognition in Social Media Streams. 1544-1557 - Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Müller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel:
Schema Matching using Pre-Trained Language Models. 1558-1571 - Guanli Liu, Jianzhong Qi, Christian S. Jensen, James Bailey, Lars Kulik:
Efficiently Learning Spatial Indices. 1572-1584 - Shengnan Guo, Youfang Lin, Letian Gong, Chenyu Wang, Zeyu Zhou, Zekai Shen, Yiheng Huang, Huaiyu Wan:
Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting. 1585-1596 - Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang:
Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. 1597-1610 - Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou:
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. 1611-1624 - Kafeng Wang, Pengyang Wang, Chengzhong Xu:
Toward Efficient Automated Feature Engineering. 1625-1637 - Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li:
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. 1638-1651 - Junhao Ye, Yuanyuan Zhu, Lu Chen:
Top-r keyword-based community search in attributed graphs. 1652-1664 - Ziqi Yin, Qi Zhang, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs. 1665-1677 - Bolong Zheng, Yong Ma, Jingyi Wan, Yongyong Gao, Kai Huang, Xiaofang Zhou, Christian S. Jensen:
Reinforcement Learning based Tree Decomposition for Distance Querying in Road Networks. 1678-1690 - Zhenyu Li, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang:
Toward a Unified Framework for Unsupervised Complex Tabular Reasoning. 1691-1704 - Sheng Guan, Hanchao Ma, Mengying Wang, Yinghui Wu:
GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs. 1705-1718 - Yucen Gao, Xikai Wei, Xi Jing, Yangguang Shi, Xiaofeng Gao, Guihai Chen:
Online Shipping Container Pricing Strategy Achieving Vanishing Regret with Limited Inventory. 1719-1731 - Yukun Cao, Xike Xie, Kexin Huang:
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning. 1720-1733 - TaiNing Wang, Yunpeng Niu, Chee-Yong Chan:
Complete Join Reordering for Null-Intolerant Joins. 1734-1746 - Zhengjie Huang, Yunyang Huang, Peng Qian, Jianhai Chen, Qinming He:
Demystifying Bitcoin Address Behavior via Graph Neural Networks. 1747-1760 - Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin:
RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation. 1761-1774 - Yuhan Wu, Siyuan Dong, Yi Zhou, Yikai Zhao, Fangcheng Fu, Tong Yang, Chaoyue Niu, Fan Wu, Bin Cui:
KVSAgg: Secure Aggregation of Distributed Key-Value Sets. 1775-1789 - Yu Wang, Jingfei Wu, Xingyuan Hua, Chi Harold Liu, Guozheng Li, Jianxin Zhao, Ye Yuan, Guoren Wang:
Air-Ground Spatial Crowdsourcing with UAV Carriers by Geometric Graph Convolutional Multi-Agent Deep Reinforcement Learning. 1790-1802 - Qixu Chen, Raymond Chi-Wing Wong:
Finding Best Tuple via Error-prone User Interaction. 1803-1816 - Akhlaque Ahmad, Lyuheng Yuan, Da Yan, Guimu Guo, Jieyang Chen, Chengcui Zhang:
Accelerating k-Core Decomposition by a GPU. 1818-1831 - Yihao Ang, Qiang Huang, Anthony K. H. Tung, Zhiyong Huang:
A Stitch in Time Saves Nine: Enabling Early Anomaly Detection with Correlation Analysis. 1832-145 - Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi:
On Explaining Confounding Bias. 1846-1859 - Daomin Ji, Hui Luo, Zhifeng Bao:
Visualization Recommendation Through Visual Relation Learning and Visual Preference Learning. 1860-1873 - Zuohan Wu, Libin Zheng, Chen Jason Zhang, Huaijie Zhu, Jian Yin, Di Jiang:
Opponent-aware Order Pricing towards Hub-oriented Mobility Services. 1874-1886 - Chenguang Fang, Yinan Mei, Shaoxu Song:
Matrix Factorization with Landmarks for Spatial Data. 1887-1899 - Xiaodong Qi, Zhihao Chen, Haizhen Zhuo, Quanqing Xu, Chengyu Zhu, Zhao Zhang, Cheqing Jin, Aoying Zhou, Ying Yan, Hui Zhang:
SChain: Scalable Concurrency over Flexible Permissioned Blockchain. 1901-1913 - Qiying Pan, Yifei Zhu, Lingyang Chu:
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices. 1914-1926 - Mingzhe Liu, Han Huang, Hao Feng, Leilei Sun, Bowen Du, Yanjie Fu:
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation. 1927-1939 - Xuanke You, Lan Zhang, Junyang Wang, Zhimin Bao, Yunfei Wu, Shuaishuai Dong:
ENLD: Efficient Noisy Label Detection for Incremental Datasets in Data Lake. 1940-1952 - Zhuochen Fan, Jiarui Guo, Xiaodong Li, Tong Yang, Yikai Zhao, Yuhan Wu, Bin Cui, Yanwei Xu, Steve Uhlig, Gong Zhang:
Finding Simplex Items in Data Streams. 1953-1966 - Shangdi Yu, Julian Shun:
Parallel Filtered Graphs for Hierarchical Clustering. 1967-1980 - Zhaoheng Li, Xinyu Pi, Yongjoo Park:
S/C: Speeding up Data Materialization with Bounded Memory. 1981-1994 - Hanchao Ma, Sheng Guan, Mengying Wang, Qi Song, Yinghui Wu:
Fair Group Summarization with Graph Patterns. 1982-1994 - Abdullah Alsaedi, Nasrin Sohrabi, Md. Redowan Mahmud, Zahir Tari:
RADAR: Reactive Concept Drift Management with Robust Variational Inference for Evolving IoT Data Streams. 1995-2007 - Jintao He, Jiaqi Zhu, Qun Huang:
HistSketch: A Compact Data Structure for Accurate Per-Key Distribution Monitoring. 2008-2021 - Ruijie Miao, Fenghao Dong, Yikai Zhao, Yiming Zhao, Yuhan Wu, Kaicheng Yang, Tong Yang, Bin Cui:
SketchConf: A Framework for Automatic Sketch Configuration. 2022-2035 - Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Huanchen Zhang, Bin Cui:
REncoder: A Space-Time Efficient Range Filter with Local Encoder. 2036-2049 - Laurens Kuiper, Hannes Mühleisen:
These Rows Are Made for Sorting and That's Just What We'll Do. 2050-2062 - Zhengyi Yang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Shunyang Li:
HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs. 2063-2076 - Tangpeng Dan, Xiao Pan, Bolong Zheng, Xiaofeng Meng:
Double Hierarchical Labeling Shortest Distance Querying in Time-dependent Road Networks. 2077-2089 - Rui Qiu, Yi Ming, Yisen Hong, Haoyu Li, Tong Yang:
Wind-Bell Index: Towards Ultra-Fast Edge Query for Graph Databases. 2090-2098 - Xunbin Su, Yinnian Lin, Lei Zou:
FASI: FPGA-friendly Subgraph Isomorphism on Massive Graphs. 2099-2112 - Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang:
Distribution-Regularized Federated Learning on Non-IID Data. 2113-2125 - Jing Wang, Xiaojun Ning, Wangjun Shi, Youfang Lin:
A Bayesian Graph Neural Network for EEG Classification - A Win-Win on Performance and Interpretability. 2126-2139 - Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan:
Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics. 2140-2153 - Wujiang Xu, Shaoshuai Li, Mingming Ha, Xiaobo Guo, Qiongxu Ma, Xiaolei Liu, Linxun Chen, Zhenfeng Zhu:
Neural Node Matching for Multi-Target Cross Domain Recommendation. 2154-2166 - Jinyang Li, Yuval Moskovitch, H. V. Jagadish:
Detection of Groups with Biased Representation in Ranking. 2167-2179 - Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi:
Differential Aggregation against General Colluding Attackers. 2180-2193 - Jian Chen, Hong Gao, Kaiqi Zhang, Jiachi Wang, Yubo Luo, Zhenqing Wu, Jianzhong Li:
Towards Efficient MIT query in Trajectory Data. 2194-2206 - Lixiang Chen, Ruihao Chen, Chengcheng Yang, Yuxing Han, Rong Zhang, Xuan Zhou, Peiquan Jin, Weining Qian:
Workload-Aware Log-Structured Merge Key-Value Store for NVM-SSD Hybrid Storage. 2207-2219 - Yue Pang, Lei Zou, Yu Liu:
IFCA: Index-Free Community-Aware Reachability Processing Over Large Dynamic Graphs. 2220-2234 - Xiao Li, Huan Li, Harry Kai-Ho Chan, Hua Lu, Christian S. Jensen:
Data Imputation for Sparse Radio Maps in Indoor Positioning. 2235-2248 - Van Long Ho, Nguyen Ho, Torben Bach Pedersen:
Mining Seasonal Temporal Patterns in Time Series. 2249-2261 - Yang Cao, Wenfei Fan, Wenzhi Fu, Ruochun Jin, Weijie Ou, Wenliang Yi:
Extracting Graphs Properties with Semantic Joins. 2262-2275 - Weicheng Wang, Raymond Chi-Wing Wong, Min Xie:
Interactive Search with Mixed Attributes. 2276-2288 - Min Chen, Yang Xu, Hongli Xu, Liusheng Huang:
Enhancing Decentralized Federated Learning for Non-IID Data on Heterogeneous Devices. 2289-2302 - Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang:
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. 2303-2316 - Ziliang Lai, Hua Fan, Wenchao Zhou, Zhanfeng Ma, Xiang Peng, Feifei Li, Eric Lo:
Knock Out 2PC with Practicality Intact: a High-performance and General Distributed Transaction Protocol. 2317-2331 - Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei:
Disentangled Graph Social Recommendation. 2332-2344 - Yuhan Wu, Yuanyuan Xu, Xuemin Lin, Wenjie Zhang:
A Holistic Approach for Answering Logical Queries on Knowledge Graphs. 2345-2357 - Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu:
Community Search: A Meta-Learning Approach. 2358-2371 - Jie Gui, Yuchen Song, Zezhou Wang, Chenhong He, Qun Huang:
SK-Gradient: Efficient Communication for Distributed Machine Learning with Data Sketch. 2372-2385 - Ziquan Fang, Changhao He, Lu Chen, Danlei Hu, Qichen Sun, Linsen Li, Yunjun Gao:
A Lightweight Framework for Fast Trajectory Simplification. 2386-2399 - Nikolai Merkel, Ruben Mayer, Tawkir Ahmed Fakir, Hans-Arno Jacobsen:
Partitioner Selection with EASE to Optimize Distributed Graph Processing. 2400-2414 - Tongfeng Weng, Xu Zhou, Yixiang Fang, Kian-Lee Tan, Kenli Li:
Finding Top-k Important Edges on Bipartite Graphs: Ego-betweenness Centrality-based Approaches. 2415-2428 - Weijie Shi, Jiajie Xu, Junhua Fang, Pingfu Chao, An Liu, Xiaofang Zhou:
LHMM: A Learning Enhanced HMM Model for Cellular Trajectory Map Matching. 2429-2442 - Libin Wang, Raymond Chi-Wing Wong:
Efficient Public Transport Planning on Roads. 2443-2455 - Taehyeong Park, Seokwon Kang, Myung-Hwan Jang, Sang-Wook Kim, Yongjun Park:
Orchestrating Large-Scale SpGEMMs using Dynamic Block Distribution and Data Transfer Minimization on Heterogeneous Systems. 2456-2459 - Paolo Pellizzoni, Fabio Vandin:
VC-dimension and Rademacher Averages of Subgraphs, with Applications to Graph Mining. 2470-2482 - Ling Li, Siqiang Luo, Yuhai Zhao, Caihua Shan, Zhengkui Wang, Lu Qin:
COCLEP: Contrastive Learning-based Semi-Supervised Community Search. 2483-2495 - Yael Amsterdamer, Susan B. Davidson, Tova Milo, Kathy Razmadze, Amit Somech:
Selecting Sub-tables for Data Exploration. 2496-2509 - Chin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen:
Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting. 2510-2523 - Yehong Xu, Lei Li, Mengxuan Zhang, Zizhuo Xu, Xiaofang Zhou:
Global Routing Optimization In Road Networks. 2524-2537 - Xubo Wang, Dong Wen, Wenjie Zhang, Ying Zhang, Lu Qin:
Distributed Near-Maximum Independent Set Maintenance over Large-scale Dynamic Graphs. 2538-2550 - Ziyang Liu, Chaokun Wang, Yunkai Lou, Hao Feng:
Fast Unsupervised Graph Embedding via Graph Zoom Learning. 2551-2564 - Yihong Huang, Liping Wang, Fan Zhang, Xuemin Lin:
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method. 2565-2578 - Yiqi Wang, Long Yuan, Zi Chen, Wenjie Zhang, Xuemin Lin, Qing Liu:
Towards Efficient Shortest Path Counting on Billion-Scale Graphs. 2579-2592 - Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian:
UADB: Unsupervised Anomaly Detection Booster. 2593-2606 - Angelos-Christos G. Anadiotis, Ioana Manolescu, Madhulika Mohanty:
Integrating Connection Search in Graph Queries. 2607-2620 - Jintao Zhang, Chao Zhang, Guoliang Li, Chengliang Chai:
AutoCE: An Accurate and Efficient Model Advisor for Learned Cardinality Estimation. 2621-2633 - Dixin Tang, Fanchao Chen, Christopher De Leon, Tana Wattanawaroon, Jeaseok Yun, Srinivasan Seshadri, Aditya G. Parameswaran:
Efficient and Compact Spreadsheet Formula Graphs. 2634-2646 - Eliana Pastor, Elena Baralis, Luca de Alfaro:
A Hierarchical Approach to Anomalous Subgroup Discovery. 2647-2659 - Ning Wang, Yaohua Wang, Zhigang Wang, Jie Nie, Zhiqiang Wei, Peng Tang, Yu Gu, Ge Yu:
PrivNUD: Effective Range Query Processing under Local Differential Privacy. 2660-2672 - Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. 2673-2685 - Jing Lu, Yuhai Zhao, Zhengkui Wang, Guoren Wang:
Skyline Micro-Cluster Query: A Novel and Practical Spatial Query. 2686-2698 - Zi Chen, Yiwei Zhao, Long Yuan, Xuemin Lin, Kai Wang:
Index-Based Biclique Percolation Communities Search on Bipartite Graphs. 2699-2712 - Weipeng Zhuo, Ka Ho Chiu, Jierun Chen, Jiajie Tan, Edmund Sumpena, S.-H. Gary Chan, Sangtae Ha, Chul-Ho Lee:
Semi-supervised Learning with Network Embedding on Ambient RF Signals for Geofencing Services. 2713-2726 - Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu:
Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network. 2727-2739 - Leilei Du, Peng Cheng, Libin Zheng, Wei Xi, Xuemin Lin, Wenjie Zhang, Jing Fang:
Dynamic Private Task Assignment under Differential Privacy. 2740-2752 - Xun Song, Jiaqi Zheng, Hao Qian, Shiju Zhao, Hongxuan Zhang, Xuntao Pan, Guihai Chen:
Couper: Memory-Efficient Cardinality Estimation under Unbalanced Distribution. 2753-2765 - Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou:
Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph. 2766-2779 - Sainyam Galhotra, Yue Gong, Raul Castro Fernandez:
Metam: Goal-Oriented Data Discovery. 2780-2793 - Haralampos Gavriilidis, Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
In-Situ Cross-Database Query Processing. 2794-2807 - Guanghui Zhu, Zhennan Zhu, Wenjie Wang, Zhuoer Xu, Chunfeng Yuan, Yihua Huang:
AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network. 2808-2821 - Hong-Kyun Bae, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim:
A Competition-Aware Approach to Accurate TV Show Recommendation. 2822-2834 - Ruihong Wang, Jianguo Wang, Prishita Kadam, M. Tamer Özsu, Walid G. Aref:
dLSM: An LSM-Based Index for Memory Disaggregation. 2835-2849 - Xiao Qin, Nasrullah Sheikh, Chuan Lei, Berthold Reinwald, Giacomo Domeniconi:
SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs. 2850-2863 - Zhiyuan Dong, Zhaoguo Wang, Chuanwei Yi, Xian Xu, Jinyuan Zhang, Jinyang Li, Haibo Chen:
Database Deadlock Diagnosis for Large-Scale ORM-Based Web Applications. 2864-2877 - Qiongqiong Lin, Yunfan Gu, Jingyan Sai, Jinfei Liu, Kui Ren, Li Xiong, Tianzhen Wang, Yanbei Pang, Sheng Wang, Feifei Li:
EulerFD: An Efficient Double-Cycle Approximation of Functional Dependencies. 2878-2891 - Tong Shen, Yang Li, José M. F. Moura:
Forecasting COVID-19 Dynamics: Clustering, Generalized Spatiotemporal Attention, and Impacts of Mobility and Geographic Proximity. 2892-2904 - Songjie Xie, Youlong Wu, Kewen Liao, Lu Chen, Chengfei Liu, Haifeng Shen, MingJian Tang, Lu Sun:
Fed-SC: One-Shot Federated Subspace Clustering over High-Dimensional Data. 2905-2918 - Koyel Mukherjee, Raunak Shah, Shiv Kumar Saini, Karanpreet Singh, Khushi, Harsh Kesarwani, Kavya Barnwal, Ayush Chauhan:
Towards Optimizing Storage Costs on the Cloud. 2919-2932 - Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, Egemen Tanin:
Contrastive Trajectory Similarity Learning with Dual-Feature Attention. 2933-2945 - Hussein Abdallah, Essam Mansour:
Towards a GML-Enabled Knowledge Graph Platform. 2946-2954 - Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao:
Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. 2955-2968 - Jie Zhou, Xianshuai Cao, Wenhao Li, Lin Bo, Kun Zhang, Chuan Luo, Qian Yu:
HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction. 2969-2975 - Cheng Chen, Yilin Wang, Jun Yang, Yiming Liu, Mian Lu, Zhao Zheng, Bingsheng He, Weng-Fai Wong, Liang You, Penghao Sun, Yuping Zhao, Fenghua Hu, Andy Rudoff:
OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory. 2976-2987 - Shumin Deng, Chengming Wang, Zhoubo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Ming Yan, Qiang Chen, Mosha Chen, Jiaoyan Chen, Jeff Z. Pan, Bryan Hooi, Huajun Chen:
Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph. 2988-3002 - Wenjun Lyu, Haotian Wang, Zhiqing Hong, Guang Wang, Yu Yang, Yunhuai Liu, Desheng Zhang:
REDE: Exploring Relay Transportation for Efficient Last-mile Delivery. 3003-3016 - Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li:
ALT: An Automatic System for Long Tail Scenario Modeling. 3017-3030 - Hao Zhang, Xianzhi Zeng, Shuhao Zhang, Xinyi Liu, Mian Lu, Zhao Zheng:
Scalable Online Interval Join on Modern Multicore Processors in OpenMLDB. 3031-3042 - Jason Sun, Haoxiang Ma, Li Zhang, Huicong Liu, Haiyang Shi, Shangyu Luo, Kai Wu, Kevin Bruhwiler, Cheng Zhu, Yuanyuan Nie, Jianjun Chen, Lei Zhang, Yuming Liang:
Accelerating Cloud-Native Databases with Distributed PMem Stores. 3043-3057 - Xu Xie, Jin Niu, Lifang Deng, Dan Wang, Jiandong Zhang, Zhihua Wu, Kaigui Bian, Gang Cao, Bin Cui:
Hierarchical Interest Modeling of Long-tailed Users for Click-Through Rate Prediction. 3058-3071 - Pengfei Li, Gaurav:
Automatic Synonym Extraction and Context-based Query Reformulation for Points-of-Interest Search. 3072-3078 - Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, Shirui Pan:
MAMDR: A Model Agnostic Learning Framework for Multi-Domain Recommendation. 3079-3092 - Yilun Huang, Dong Wen, Longbin Lai, Zhengping Qian, Lu Qin, Ying Zhang:
Efficient and Effective Path Compression in Large Graphs. 3093-3105 - Yuting Qiang, Haomin Wen, Lixia Wu, Xiaowei Mao, Fan Wu, Huaiyu Wan, Haoyuan Hu:
Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery. 3106-3112 - Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. 3113-3125 - Guanzhou Zhu, Dong Zhao, Yizong Wang, Haotian Wang, Desheng Zhang, Huadong Ma:
COME: Learning to Coordinate Crowdsourcing and Regular Couriers for Offline Delivery During Online Mega Sale Days. 3126-3139 - Zhihao Zeng, Yuntao Du, Ziquan Fang, Lu Chen, Shiliang Pu, Guodong Chen, Hui Wang, Yunjun Gao:
FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration. 3140-3153 - Kaichun Yao, Jingshuai Zhang, Chuan Qin, Xin Song, Peng Wang, Hengshu Zhu, Hui Xiong:
ResuFormer: Semantic Structure Understanding for Resumes via Multi-Modal Pre-training. 3154-3167 - Luming Sun, Shijin Gong, Tieying Zhang, Fuxin Jiang, Zhibing Zhao, Jianjun Chen, Xinyu Zhang:
SUFS: A Generic Storage Usage Forecasting Service Through Adaptive Ensemble Learning. 3168-3181 - Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou:
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. 3182-3195 - Xiaojian Zhang, Hongyin Zhang, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang:
Backward-Sort for Time Series in Apache IoTDB. 3196-3208 - Bolong Zheng, Ziyang Yue, Qi Hu, Xiaomeng Yi, Xiaofan Luan, Charles Xie, Xiaofang Zhou, Christian S. Jensen:
Learned Probing Cardinality Estimation for High-Dimensional Approximate NN Search. 3209-3221 - Juan Gong, Zhenlin Chen, Chaoyi Ma, Zhuojian Xiao, Haonan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yunjiang Jiang:
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce. 3222-3234 - Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou:
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. 3235-3247 - Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang:
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. 3248-3254 - Shuncheng Liu, Yuyang Xia, Xu Chen, Jiandong Xie, Han Su, Kai Zheng:
Impact-aware Maneuver Decision with Enhanced Perception for Autonomous Vehicle. 3255-3268 - Wenyi Shen, Wenyu Wu, Jiali Mao, Jie Chen, Shaosheng Cao, Lisheng Zhao, Aoying Zhou, Lin Zhou:
SAMI: A Shape-Aware Cycling Map Inference Framework for Designated Driving Service. 3269-3281 - Yannick Wilhelm, Peter Reimann, Wolfgang Gauchel, Steffen Klein, Bernhard Mitschang:
Pusion - A Generic and Automated Framework for Decision Fusion. 3282-3295 - Tianyue Cai, Huaiyu Wan, Fan Wu, Haomin Wen, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin:
M2G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction. 3296-3308 - Qifang Zhao, Tianyu Li, Meng Du, Yu Jiang, Qinghui Sun, Zhongyao Wang, Hong Liu, Huan Xu:
UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing. 3309-3321 - Tony Wong, Smriti Thakkar, Kao-Feng Hsieh, Zachary Tom, Hetaben Saraiya, Philip Shilane:
Dataset Similarity Detection for Global Deduplication in the DD File System. 3322-3335 - Davide Magnanimi, Luigi Bellomarini, Stefano Ceri, Davide Martinenghi:
Reactive Company Control in Company Knowledge Graphs. 3336-3348 - Ritwik Yadav, Satyanarayana R. Valluri, Mohamed Zaït:
AIM: A practical approach to automated index management for SQL databases. 3349-3362 - Yinan Zhang, Huiqi Hu, Xuan Zhou, Enlong Xie, Hongdi Ren, Le Jin:
PM-Blade: A Persistent Memory Augmented LSM-tree Storage for Database. 3363-3375 - Ram Kesavan, David Gay, Daniel Thevessen, Jimit Shah, C. Mohan:
Firestore: The NoSQL Serverless Database for the Application Developer. 3376-3388 - Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma:
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. 3389-3402 - Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen:
Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. 3403-3416 - Bo Sang, Shuwei Gu, Xiaojun Zhan, Mingjie Tang, Jian Liu, Xuan Chen, Jie Tan, Haoyuan Ge, Ke Zhang, Ruoyi Ruan, Wei Yan:
Cougar: A General Framework for Jobs Optimization In Cloud. 3417-3429 - Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li:
Continual Causal Inference with Incremental Observational Data. 3430-3439 - Jipeng Jin, Guangben Lu, Sijia Li, Xiaofeng Gao, Ao Tan, Lifeng Wang:
Automatic Fusion Network for Cold-start CVR Prediction with Explicit Multi-Level Representation. 3440-3452 - Zhuo Chen, Wen Zhang, Yufeng Huang, Mingyang Chen, Yuxia Geng, Hongtao Yu, Zhen Bi, Yichi Zhang, Zhen Yao, Wenting Song, Xinliang Wu, Yi Yang, Mingyi Chen, Zhaoyang Lian, Yingying Li, Lei Cheng, Huajun Chen:
Tele-Knowledge Pre-training for Fault Analysis. 3453-3466 - Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng:
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. 3467-3480 - Junlin Chen, Xin Liu, Weidong Liu, Hai Jiang:
Two-Sided Instant Incentive Optimization under a Shared Budget in Ride-Hailing Services. 3481-3493 - Meng Jiang, Yang Zhang, Yuan Gao, Yansong Wang, Fuli Feng, Xiangnan He:
LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction. 3494-3507 - Mariam Barry, Jacob Montiel, Albert Bifet, Sameer Wadkar, Nikolay Manchev, Max Halford, Raja Chiky, Saad El Jaouhari, Katherine B. Shakman, Joudi Al Fehaily, Fabrice Le Deit, Vinh-Thuy Tran, Eric Guerizec:
StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications. 3508-3521 - Hai Wang, Shuai Wang, Yu Yang, Desheng Zhang:
GCRL: Efficient Delivery Area Assignment for Last-mile Logistics with Group-based Cooperative Reinforcement Learning. 3522-3534 - Meng Li, Jun Zhou, Lu Yu, Xiaoguang Huang, Yongfeng Gu, Yi Ding, Hao Ding, Longfei Li:
A Rule-based Decision System for Financial Applications. 3535-3548 - Boya Du, Shaochuan Lin, Jiong Gao, Xiyu Ji, Mengya Wang, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu:
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service. 3549-3562 - Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda:
Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. 3563-3577 - Subhadeep Sarkar, Niv Dayan, Manos Athanassoulis:
The LSM Design Space and its Read Optimizations. 3578-3584 - Anupam Sanghi, Jayant R. Haritsa:
Synthetic Data Generation for Enterprise DBMS. 3585-3588 - Cheng-Te Li, Yu-Che Tsai, Jay Chiehen Liao:
Graph Neural Networks for Tabular Data Learning. 3589-3592 - Yannis Foufoulas, Alkis Simitsis:
User-Defined Functions in Modern Data Engines. 3593-3598 - Daren Chao, Kaiwen Chen, Nick Koudas:
SVQ-ACT: Querying for Actions over Videos. 3599-3602 - Yuankai Fan, Tonghui Ren, Zhenying He, X. Sean Wang, Ye Zhang, Xingang Li:
GenSql: A Generative Natural Language Interface to Database Systems. 3603-3606 - Janaka Chathuranga Brahmanage, Thivya Kandappu, Baihua Zheng:
MetroWatch: A Predictive System to Estimate Travel Attributes Using Smart Card Data. 3607-3610 - Simone Bottoni, Alberto Trombetta, Flavio Bertini, Danilo Montesi, Francesca Bonin, Alessandra Pascale, Martin Gleize, Pierpaolo Tommasi:
Graph-based Tool for Exploring PubMed Knowledge Base. 3611-3614 - Connor Henderson, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte:
BLUTune: Tuning Up IBM Db2 with ML. 3615-3618 - Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet:
FALL: A Modular Adaptive Learning Platform for Streaming Data. 3619-3622 - Alexander Bianchi, Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
iORDER: Mining Implicit Domain Orders. 3623-3626 - Paulo Martins, Ariel Afonso, Altigran S. da Silva:
PyLatheDB - A Library for Relational Keyword Search with Support to Schema References. 3627-3630 - Joel Rorseth, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
CREDENCE: Counterfactual Explanations for Document Ranking. 3631-3634 - Jun Xuan Yew, Ningyi Liao, Dingheng Mo, Siqiang Luo:
Example Searcher: A Spatial Query System via Example. 3635-3638 - Thai Le, Yiran Ye, Yifan Hu, Dongwon Lee:
CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild. 3639-3642 - Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen:
EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge. 3643-3646 - Timo Räth, Kai-Uwe Sattler:
Traveling Back in Time: A Visual Debugger for Stream Processing Applications. 3647-3650 - Yangyang Wu, Xiaoye Miao, Zilinghan Li, Shilan He, Xinkai Yuan, Jianwei Yin:
An Efficient Generative Data Imputation Toolbox with Adversarial Learning. 3651-3654 - Emmanouil Adamakis, Michael Boch, Alexandros Bampoulidis, George Margetis, Stefan Gindl, Constantine Stephanidis:
DaRAV: A Tool for Visualizing De-Anonymization Risks. 3655-3658 - Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi:
Unshackling Database Benchmarking from Synthetic Workloads. 3659-3662 - Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi:
Causal What-If and How-To Analysis Using HypeR. 3663-3666 - Primal Pappachan, Vishnu Sharma Hunsur Manjunath, Chenxi Qiu, Anna Cinzia Squicciarini, Hailey Onweller:
CORGI: An interactive framework for Customizable and Robust Location Obfuscation. 3667-3670 - Xinyi Zhu, Liping Wang, Hao Xin, Xiaohan Wang, Zhifeng Jia, Jiyao Wang, Chunming Ma, Yuxiang Zengt:
T-FinKB: A Platform of Temporal Financial Knowledge Base Construction. 3671-3674 - Beng Chin Ooi, Gang Chen, Mike Zheng Shou, Kian-Lee Tan, Anthony K. H. Tung, Xiaokui Xiao, James Wei Luen Yip, Bingxue Zhang, Meihui Zhang:
The Metaverse Data Deluge: What Can We Do About It? 3675-3687 - Tarikul Islam Papon, Ju Hyoung Mun, Shahin Roozkhosh, Denis Hoornaert, Ahmed Sanaullah, Ulrich Drepper, Renato Mancuso, Manos Athanassoulis:
Relational Fabric: Transparent Data Transformation. 3688-3698 - Viktor Sanca, Anastasia Ailamaki:
Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics. 3699-3707 - Hiroyuki Yamada, Kazuo Goda, Masaru Kitsuregawa:
Nested Loops Revisited Again. 3708-3717 - Santiago Andrés Azcoitia, Costas Iordanou, Nikolaos Laoutaris:
Understanding the Price of Data in Commercial Data Marketplaces. 3718-3728 - Rihan Hai, Christos Koutras, Andra Ionescu, Ziyu Li, Wenbo Sun, Jessie van Schijndel, Yan Kang, Asterios Katsifodimos:
Amalur: Data Integration Meets Machine Learning. 3729-3739 - Peter A. Boncz, Yannis Chronis, Jan Finis, Stefan Halfpap, Viktor Leis, Thomas Neumann, Anisoara Nica, Caetano Sauer, Knut Stolze, Marcin Zukowski:
SPA: Economical and Workload-Driven Indexing for Data Analytics in the Cloud. 3740-3746 - Shubha Guha, Falaah Arif Khan, Julia Stoyanovich, Sebastian Schelter:
Automated Data Cleaning Can Hurt Fairness in Machine Learning-based Decision Making. 3747-3754 - Yangyang Guo, Zhiyong Cheng, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang:
Enhancing Factorization Machines with Generalized Metric Learning (Extended Abstract). 3755-3756 - Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia:
A High-Performance Index for Real-Time Matrix Retrieval (Extended Abstract). 3757-3758 - Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu:
Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract). 3759-3760 - Savong Bou, Hiroyuki Kitagawa, Toshiyuki Amagasa:
CPiX: Real-Time Analytics Over Out-of-Order Data Streams by Incremental Sliding-Window Aggregation. 3759-3760 - Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai:
Consensus One-step Multi-view Subspace Clustering (Extended abstract). 3761-3762 - Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). 3763-3764 - Wentian Guo, Yuchen Li, Kian-Lee Tan:
Exploiting Reuse for GPU Subgraph Enumeration (Extended Abstract). 3765-3766 - Xiaolong Wan, Hongzhi Wang:
Reachability Queries with Label and Substructure Constraints on Knowledge Graphs (Extended abstract). 3769-3770 - Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). 3771-3772 - Chuanxing Geng, Songcan Chen:
Collective Decision for Open Set Recognition (Extended Abstract). 3773-3774 - Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi:
Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract). 3775-3776 - Fan Liu, Xingshe Zhou, Jinli Cao, Zhu Wang, Tianben Wang, Hua Wang, Yanchun Zhang:
Anomaly Detection in Quasi-Periodic Time Series based on Automatic Data Segmentation and Attentional LSTM-CNN (Extended Abstract). 3777-3778 - Shanjiang Tang, Bingsheng He, Ce Yu, Yusen Li, Kun Li:
A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications (Extended abstract). 3779-3780 - Guo Zhong, Chi-Man Pun:
Data Representation by Joint Hypergraph Embedding and Sparse Coding (Extended Abstract). 3781-3782 - Tieyun Qian, Yile Liang, Qing Li, Hui Xiong:
Attribute Graph Neural Networks for Strict Cold Start Recommendation : Extended Abstract. 3783-3784 - Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang:
A Review for Weighted MinHash Algorithms (Extended abstract). 3785-3786 - Ahmed Al-Baghdadi, Gokarna Sharma, Xiang Lian:
Efficient Processing of Group Planning Queries Over Spatial-Social Networks (Extended Abstract). 3787-3788 - Huanyu Zhao, Chaoyi Pang, Kotagiri Ramamohanarao, Christopher Kuo Pang, Ke Deng, Jian Yang, Tongliang Li:
An Optimal Online Semi-connected PLA Algorithm with Maximum Error Bound (Extended Abstract). 3789-3790 - Thanh Tam Nguyen, Chi Thang Duong, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen:
Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract). 3791-3792 - Zuowei Zhang, Zhe Liu, Zongfang Ma, Yiru Zhang, Hao Wang:
A New Belief-Based Incomplete Pattern Unsupervised Classification Method : Extended Abstract. 3793-3794 - David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, A. Kai Qin:
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (Extended Abstract). 3795-3796 - Jianchao Tang, Shaojing Fu, Ximeng Liu, Yuchuan Luo, Ming Xu:
Achieving Privacy-preserving and Lightweight Truth Discovery in Mobile Crowdsensing (Extended abstract). 3797-3798 - Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng:
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract). 3799-3800 - Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma:
Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. 3801-3802 - Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. 3803-3804 - Jing Li, Billy Chiu, Shanshan Feng, Hao Wang:
Few-Shot Named Entity Recognition via Meta-Learning (Extended Abstract). 3805-3806 - Haithem Mezni, Djamal Benslimane, Ladjel Bellatreche:
Context-aware Service Recommendation based on Knowledge Graph Embedding (Extended Abstract). 3807-3808 - Shunya Nishio, Daichi Amagata, Takahiro Hara:
Lamps: Location-Aware Moving Top-k Pub/Sub (Extended abstract). 3809-3810 - Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li:
Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM. 3811-3812 - Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng:
Modeling Spatial Trajectories with Attribute Representation Learning (Extended Abstract). 3813-3814 - Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He:
Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract. 3815-3816 - Jing Li, Aixin Sun, Jianglei Han, Chenliang Li:
A Survey on Deep Learning for Named Entity Recognition : Extended Abstract. 3817-3818 - Shaoxu Song, Fei Gao, Ruihong Huang, Chaokun Wang:
Data Dependencies Extended for Variety and Veracity: A Family Tree (Extended abstract). 3819-3820 - Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang:
Modelling High-Order Social Relations for Item Recommendation (Extended Abstract). 3821-3822 - Lihui Lin, Yanghui Rao, Haoran Xie, Raymond Y. K. Lau, Jian Yin, Fu Lee Wang, Qing Li:
Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery (Extended Abstract). 3823-3824 - Chenxu Wang, Wei Rao, Wenna Guo, Pinghui Wang, Jun Liu, Xiaohong Guan:
Towards Understanding the Instability of Network Embedding (Extended Abstract). 3825-3826 - Jaewook Byun:
Enabling Time-Centric Computation for Efficient Temporal Graph Traversals From Multiple Sources (Extended abstract). 3827-3828 - Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). 3829-3830 - Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh:
Learning Deep Graph Representations via Convolutional Neural Networks (Extended abstract). 3831-3832 - Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant:
Incorporating User's Preference into Attributed Graph Clustering : Extended abstract. 3833-3834 - Xinghao Yang, Weifeng Liu, Wei Liu:
Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract). 3835-3836 - Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye:
Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract). 3837-3838 - Jing Yao, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
Looking Back on the Past: Active Learning with Historical Evaluation Results : Extended Abstract. 3839-3840 - Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu:
DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction : Extended Abstract. 3841-3842 - Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang:
T-PAIR: Temporal Node pair Embedding for Automatic Biomedical Hypothesis Generation (Extended abstract). 3843-3844 - Hong Yu, Qian Yang, Guoyin Wang, Yongfang Xie:
A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification : Extended abstract. 3845-3846 - Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan:
A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario : Extended Abstract. 3847-3848 - Wei Song, Zhen Chang, Hans-Arno Jacobsen, Pengcheng Zhang:
Discovering Structural Errors From Business Process Event Logs (Extended Abstract). 3849-3850 - Dichao Li, Zhiguo Gong:
A Deep Neural Network for Crossing-City POI Recommendations : (Extended Abstract). 3851-3852 - Miika Hannula, Zhuoxing Zhang, Bor-Kuan Song, Sebastian Link:
Discovery of Cross Joins (Extended Abstract). 3853-3854 - Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael Kwok-Po Ng:
Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract. 3855-3856 - Yong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Xuelong Li:
Enhanced Discrete Multi-modal Hashing: More Constraints yet Less Time to Learn (Extended Abstract). 3857-3858 - Tao Qiu, Xiaochun Yang, Bin Wang, Wei Wang:
Efficient Regular Expression Matching Based on Positional Inverted Index : (Extended Abstract). 3859-3860 - Chi Harold Liu, Yu Wang, Chengzhe Piao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu:
Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM (Extended abstract). 3861-3862 - Moshe Unger, Alexander Tuzhilin:
Hierarchical Contextual Embeddings for Context-Aware Recommendations (Extended Abstract). 3863-3864 - Qunbo Wang, Wenjun Wu, Yuxing Qi, Yongchi Zhao:
Deep Bayesian Active Learning for Learning to Rank: A Case Study in Answer Selection (Extended Abstract). 3865-3866 - Wei Fang, Qiang Zhang, Jun Sun, Xiaojun Wu:
Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm (Extended Abstract). 3867-3868 - Tianru Zhang, Andreas Hellander, Salman Toor:
Efficient Hierarchical Storage Management Empowered by Reinforcement Learning Extended Abstract. 3869-3870 - Renchu Guan, Hao Zhang, Yanchun Liang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng:
Deep Feature-Based Text Clustering and Its Explanation. 3871-3872 - Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract). 3873-3874 - Laizhong Cui, Sudipta Acharya, Sumit Mishra, Yi Pan, Joshua Zhexue Huang:
MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection (Extended abstract). 3875-3876 - Meiyu Liang, Junping Du, Linghui Li, Zhe Xue, Xiaoxiao Wang, Feifei Kou, Xu Wang:
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-similarity (Extended abstract). 3877-3878 - Lukás Chrpa, Roman Barták, Jindrich Vodrázka, Marta Vomlelová:
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning (Extended Abstract). 3879-3880 - Yun William Yu, Griffin M. Weber:
HyperMinHash: MinHash in LogLog Space (Extended Abstract). 3881-3882 - Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances (Extended Abstract). 3883-3884 - Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu:
A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification : Extended abstract. 3885-3886 - Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini:
Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract). 3887-3888 - Lusi Li, Haibo He:
Bipartite Graph based Multi-view Clustering (Extended Abstract). 3889-3890 - Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini:
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract). 3891-3892 - Zhangqing Shan, Weiwei Sun, Baihua Zheng:
Extract Human Mobility Patterns Powered by City Semantic Diagram : Extended Abstract. 3893-3894 - Masoud Nosrati, Ying Cai:
Verifying the Correctness of Analytic Query Results (Extended Abstract). 3895-3896 - Jens Dietrich, Lijun Chang, Long Qian, Lyndon M. Henry, Catherine McCartin, Bernhard Scholz:
Efficient Sink-Reachability Analysis via Graph Reduction (Extended Abstract). 3897-3898 - Cunlai Pu, Jie Li, Jian Wang, Tony Q. S. Quek:
The Node-Similarity Distribution of Complex Networks and Its Applications in Link Prediction (Extended Abstract). 3899-3900 - Xuanhe Zhou, Chengliang Chai, Guoliang Li, Ji Sun:
Database Meets Artificial Intelligence: A Survey (Extended Abstract). 3901-3902 - Youjin Lee:
Data Additive Residual Learning based Yield Prediction for Semiconductor Manufacturing. 3903-3907 - Shuang Liang:
Knowledge Graph Embedding Based on Graph Neural Network. 3908-3912 - Nico Lässig:
Towards an AutoML System for Fair Classifications∗. 3913-3917 - Emilia Lenzi:
INTERPRET: An INtegrated and adapTive framEwoRk to support Policy-makers in the urban EnvironmenT. 3918-3922 - Sepideh Nikookar:
Human-AI Complex Task Planning. 3923-3927 - Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou:
Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism. 3928-3941
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