| 2023 | 39th IEEE International Conference on Data Engineering, ICDE 2023, Anaheim, CA, USA, April 3-7, 2023 |
| 2023 | A Bayesian Graph Neural Network for EEG Classification - A Win-Win on Performance and Interpretability. Jing Wang, Xiaojun Ning, Wangjun Shi, Youfang Lin |
| 2023 | A Competition-Aware Approach to Accurate TV Show Recommendation. Hong-Kyun Bae, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim |
| 2023 | A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection. Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong |
| 2023 | A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract). Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng |
| 2023 | A Deep Neural Network for Crossing-City POI Recommendations : (Extended Abstract). Dichao Li, Zhiguo Gong |
| 2023 | A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets. Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, Franck Cappello |
| 2023 | A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong |
| 2023 | A Hierarchical Approach to Anomalous Subgroup Discovery. Eliana Pastor, Elena Baralis, Luca de Alfaro |
| 2023 | A High-Performance Index for Real-Time Matrix Retrieval (Extended Abstract). Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia |
| 2023 | A Holistic Approach for Answering Logical Queries on Knowledge Graphs. Yuhan Wu, Yuanyuan Xu, Xuemin Lin, Wenjie Zhang |
| 2023 | A Lightweight Framework for Fast Trajectory Simplification. Ziquan Fang, Changhao He, Lu Chen, Danlei Hu, Qichen Sun, Linsen Li, Yunjun Gao |
| 2023 | A New Belief-Based Incomplete Pattern Unsupervised Classification Method : Extended Abstract. Zuowei Zhang, Zhe Liu, Zongfang Ma, Yiru Zhang, Hao Wang |
| 2023 | A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification : Extended abstract. Hong Yu, Qian Yang, Guoyin Wang, Yongfang Xie |
| 2023 | A Reachability Index for Recursive Label-Concatenated Graph Queries. Chao Zhang, Angela Bonifati, Hugo Kapp, Vlad Ioan Haprian, Jean-Pierre Lozi |
| 2023 | A Review for Weighted MinHash Algorithms (Extended abstract). Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang |
| 2023 | A Rule-based Decision System for Financial Applications. Meng Li, Jun Zhou, Lu Yu, Xiaoguang Huang, Yongfeng Gu, Yi Ding, Hao Ding, Longfei Li |
| 2023 | A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario : Extended Abstract. Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan |
| 2023 | A Stitch in Time Saves Nine: Enabling Early Anomaly Detection with Correlation Analysis. Yihao Ang, Qiang Huang, Anthony K. H. Tung, Zhiyong Huang |
| 2023 | A Survey on Deep Learning for Named Entity Recognition : Extended Abstract. Jing Li, Aixin Sun, Jianglei Han, Chenliang Li |
| 2023 | A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He |
| 2023 | A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (Extended Abstract). David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, A. K. Qin |
| 2023 | A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications (Extended abstract). Shanjiang Tang, Bingsheng He, Ce Yu, Yusen Li, Kun Li |
| 2023 | A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification : Extended abstract. Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu |
| 2023 | ACEing the Bufferpool Management Paradigm for Modern Storage Devices. Tarikul Islam Papon, Manos Athanassoulis |
| 2023 | ADAMANT: A Query Executor with Plug-In Interfaces for Easy Co-processor Integration. Bala Gurumurthy, David Broneske, Gabriel Campero Durand, Thilo Pionteck, Gunter Saake |
| 2023 | AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2023 | AIM: A practical approach to automated index management for SQL databases. Ritwik Yadav, Satyanarayana R. Valluri, Mohamed Zaït |
| 2023 | ALT: An Automatic System for Long Tail Scenario Modeling. Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li |
| 2023 | Accelerating Cloud-Native Databases with Distributed PMem Stores. 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 |
| 2023 | Accelerating k-Core Decomposition by a GPU. Akhlaque Ahmad, Lyuheng Yuan, Da Yan, Guimu Guo, Jieyang Chen, Chengcui Zhang |
| 2023 | Achieving Privacy-preserving and Lightweight Truth Discovery in Mobile Crowdsensing (Extended abstract). Jianchao Tang, Shaojing Fu, Ximeng Liu, Yuchuan Luo, Ming Xu |
| 2023 | Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution. Xiao He, Jian Tan, Bin Wu, Feifei Li, Xinping Zhang, Gaozhong Liang, Jinfeng Xu |
| 2023 | Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract). Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini |
| 2023 | Air-Ground Spatial Crowdsourcing with UAV Carriers by Geometric Graph Convolutional Multi-Agent Deep Reinforcement Learning. Yu Wang, Jingfei Wu, Xingyuan Hua, Chi Harold Liu, Guozheng Li, Jianxin Zhao, Ye Yuan, Guoren Wang |
| 2023 | Amalur: Data Integration Meets Machine Learning. Rihan Hai, Christos Koutras, Andra Ionescu, Ziyu Li, Wenbo Sun, Jessie van Schijndel, Yan Kang, Asterios Katsifodimos |
| 2023 | An Efficient Generative Data Imputation Toolbox with Adversarial Learning. Yangyang Wu, Xiaoye Miao, Zilinghan Li, Shilan He, Xinkai Yuan, Jianwei Yin |
| 2023 | An Optimal Online Semi-connected PLA Algorithm with Maximum Error Bound (Extended Abstract). Huanyu Zhao, Chaoyi Pang, Kotagiri Ramamohanarao, Christopher Kuo Pang, Ke Deng, Jian Yang, Tongliang Li |
| 2023 | Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics. Viktor Sanca, Anastasia Ailamaki |
| 2023 | Anomaly Detection in Quasi-Periodic Time Series based on Automatic Data Segmentation and Attentional LSTM-CNN (Extended Abstract). Fan Liu, Xingshe Zhou, Jinli Cao, Zhu Wang, Tianben Wang, Hua Wang, Yanchun Zhang |
| 2023 | Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce. Juan Gong, Zhenlin Chen, Chaoyi Ma, Zhuojian Xiao, Haonan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yunjiang Jiang |
| 2023 | Attribute Graph Neural Networks for Strict Cold Start Recommendation : Extended Abstract. Tieyun Qian, Yile Liang, Qing Li, Hui Xiong |
| 2023 | Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning (Extended Abstract). Lukás Chrpa, Roman Barták, Jindrich Vodrázka, Marta Vomlelová |
| 2023 | AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network. Guanghui Zhu, Zhennan Zhu, Wenjie Wang, Zhuoer Xu, Chunfeng Yuan, Yihua Huang |
| 2023 | AutoCE: An Accurate and Efficient Model Advisor for Learned Cardinality Estimation. Jintao Zhang, Chao Zhang, Guoliang Li, Chengliang Chai |
| 2023 | Automated Data Cleaning Can Hurt Fairness in Machine Learning-based Decision Making. Shubha Guha, Falaah Arif Khan, Julia Stoyanovich, Sebastian Schelter |
| 2023 | Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise. Cédric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang |
| 2023 | Automatic Fusion Network for Cold-start CVR Prediction with Explicit Multi-Level Representation. Jipeng Jin, Guangben Lu, Sijia Li, Xiaofeng Gao, Ao Tan, Lifeng Wang |
| 2023 | Automatic Synonym Extraction and Context-based Query Reformulation for Points-of-Interest Search. Pengfei Li, Gaurav |
| 2023 | BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service. Boya Du, Shaochuan Lin, Jiong Gao, Xiyu Ji, Mengya Wang, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu |
| 2023 | BERT-Trip: Effective and Scalable Trip Representation using Attentive Contrast Learning. Ai-Te Kuo, Haiquan Chen, Wei-Shinn Ku |
| 2023 | BLUTune: Tuning Up IBM Db2 with ML. Connor Henderson, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte |
| 2023 | Backward-Sort for Time Series in Apache IoTDB. Xiaojian Zhang, Hongyin Zhang, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang |
| 2023 | Batch-Based Cooperative Task Assignment in Spatial Crowdsourcing. Yi Yang, Yurong Cheng, Yeru Yang, Ye Yuan, Guoren Wang |
| 2023 | Bayesian Negative Sampling for Recommendation. Bin Liu, Bang Wang |
| 2023 | Benchmarking Filtering Techniques for Entity Resolution. George Papadakis, Marco Fisichella, Franziska Schoger, George Mandilaras, Nikolaus Augsten, Wolfgang Nejdl |
| 2023 | Bipartite Graph based Multi-view Clustering (Extended Abstract). Lusi Li, Haibo He |
| 2023 | BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances (Extended Abstract). Yang Song, Yu Gu, Rui Zhang, Ge Yu |
| 2023 | CLDG: Contrastive Learning on Dynamic Graphs. Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng |
| 2023 | COCLEP: Contrastive Learning-based Semi-Supervised Community Search. Ling Li, Siqiang Luo, Yuhai Zhao, Caihua Shan, Zhengkui Wang, Lu Qin |
| 2023 | COME: Learning to Coordinate Crowdsourcing and Regular Couriers for Offline Delivery During Online Mega Sale Days. Guanzhou Zhu, Dong Zhao, Yizong Wang, Haotian Wang, Desheng Zhang, Huadong Ma |
| 2023 | CORGI: An interactive framework for Customizable and Robust Location Obfuscation. Primal Pappachan, Vishnu Sharma Hunsur Manjunath, Chenxi Qiu, Anna Cinzia Squicciarini, Hailey Onweller |
| 2023 | CPiX: Real-Time Analytics Over Out-of-Order Data Streams by Incremental Sliding-Window Aggregation. Savong Bou, Hiroyuki Kitagawa, Toshiyuki Amagasa |
| 2023 | CREDENCE: Counterfactual Explanations for Document Ranking. Joel Rorseth, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta |
| 2023 | Causal What-If and How-To Analysis Using HypeR. Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi |
| 2023 | Co-Utilizing SIMD and Scalar to Accelerate the Data Analytics Workloads. Zewen Sun, Zhifang Li, Chuliang Weng |
| 2023 | Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma |
| 2023 | Collective Decision for Open Set Recognition (Extended Abstract). Chuanxing Geng, Songcan Chen |
| 2023 | Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework. Dingyuan Shi, Nan Zhou, Yongxin Tong, Zimu Zhou, Yi Xu, Ke Xu |
| 2023 | Community Search: A Meta-Learning Approach. Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu |
| 2023 | Complete Join Reordering for Null-Intolerant Joins. Taining Wang, Yunpeng Niu, Chee-Yong Chan |
| 2023 | CompressStreamDB: Fine-Grained Adaptive Stream Processing without Decompression. Yu Zhang, Feng Zhang, Hourun Li, Shuhao Zhang, Xiaoyong Du |
| 2023 | Consensus One-step Multi-view Subspace Clustering (Extended abstract). Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai |
| 2023 | Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph. 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 |
| 2023 | Context-aware Service Recommendation based on Knowledge Graph Embedding (Extended Abstract). Haithem Mezni, Djamal Benslimane, Ladjel Bellatreche |
| 2023 | Continual Causal Inference with Incremental Observational Data. Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li |
| 2023 | Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou |
| 2023 | Contrastive Trajectory Similarity Learning with Dual-Feature Attention. Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, Egemen Tanin |
| 2023 | Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery (Extended Abstract). Lihui Lin, Yanghui Rao, Haoran Xie, Raymond Y. K. Lau, Jian Yin, Fu Lee Wang, Qing Li |
| 2023 | Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan |
| 2023 | Cougar: A General Framework for Jobs Optimization In Cloud. Bo Sang, Shuwei Gu, Xiaojun Zhan, Mingjie Tang, Jian Liu, Xuan Chen, Jie Tan, Haoyuan Ge, Ke Zhang, Ruoyi Ruan, Wei Yan |
| 2023 | Couper: Memory-Efficient Cardinality Estimation under Unbalanced Distribution. Xun Song, Jiaqi Zheng, Hao Qian, Shiju Zhao, Hongxuan Zhang, Xuntao Pan, Guihai Chen |
| 2023 | Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao |
| 2023 | CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild. Thai Le, Yiran Ye, Yifan Hu, Dongwon Lee |
| 2023 | Cutting Learned Index into Pieces: An In-depth Inquiry into Updatable Learned Indexes. Jiake Ge, Boyu Shi, Yanfeng Chai, Yuanhui Luo, Yunda Guo, Yinxuan He, Yunpeng Chai |
| 2023 | DBAugur: An Adversarial-based Trend Forecasting System for Diversified Workloads. Yuanning Gao, Xiuqi Huang, Xuanhe Zhou, Xiaofeng Gao, Guoliang Li, Guihai Chen |
| 2023 | DBCatcher: A Cloud Database Online Anomaly Detection System based on Indicator Correlation. Guangyu Zhang, Chunhua Li, Ke Zhou, Li Liu, Ce Zhang, Wancheng Chen, Haotian Fang, Bin Cheng, Jie Yang, Jiashu Xing |
| 2023 | DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang |
| 2023 | DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction : Extended Abstract. Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu |
| 2023 | DaRAV: A Tool for Visualizing De-Anonymization Risks. Emmanouil Adamakis, Michael Boch, Alexandros Bampoulidis, George Margetis, Stefan Gindl, Constantine Stephanidis |
| 2023 | Data Additive Residual Learning based Yield Prediction for Semiconductor Manufacturing. Youjin Lee |
| 2023 | Data Ambiguity Profiling for the Generation of Training Examples. Enzo Veltri, Gilbert Badaro, Mohammed Saeed, Paolo Papotti |
| 2023 | Data Dependencies Extended for Variety and Veracity: A Family Tree (Extended abstract). Shaoxu Song, Fei Gao, Ruihong Huang, Chaokun Wang |
| 2023 | Data Imputation for Sparse Radio Maps in Indoor Positioning. Xiao Li, Huan Li, Harry Kai-Ho Chan, Hua Lu, Christian S. Jensen |
| 2023 | Data Representation by Joint Hypergraph Embedding and Sparse Coding (Extended Abstract). Guo Zhong, Chi-Man Pun |
| 2023 | Database Deadlock Diagnosis for Large-Scale ORM-Based Web Applications. Zhiyuan Dong, Zhaoguo Wang, Chuanwei Yi, Xian Xu, Jinyuan Zhang, Jinyang Li, Haibo Chen |
| 2023 | Database Meets Artificial Intelligence: A Survey (Extended Abstract). Xuanhe Zhou, Chengliang Chai, Guoliang Li, Ji Sun |
| 2023 | Dataset Similarity Detection for Global Deduplication in the DD File System. Tony Wong, Smriti Thakkar, Kao-Feng Hsieh, Zachary Tom, Hetaben Saraiya, Philip Shilane |
| 2023 | Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng |
| 2023 | Deep Bayesian Active Learning for Learning to Rank: A Case Study in Answer Selection (Extended Abstract). Qunbo Wang, Wenjun Wu, Yuxing Qi, Yongchi Zhao |
| 2023 | Deep Feature-Based Text Clustering and Its Explanation. Renchu Guan, Hao Zhang, Yanchun Liang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng |
| 2023 | Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen |
| 2023 | Demystifying Bitcoin Address Behavior via Graph Neural Networks. Zhengjie Huang, Yunyang Huang, Peng Qian, Jianhai Chen, Qinming He |
| 2023 | Detection of Groups with Biased Representation in Ranking. Jinyang Li, Yuval Moskovitch, H. V. Jagadish |
| 2023 | Differential Aggregation against General Colluding Attackers. Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi |
| 2023 | Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction. Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao |
| 2023 | Discovering Editing Rules by Deep Reinforcement Learning. Yinan Mei, Shaoxu Song, Chenguang Fang, Ziheng Wei, Jingyun Fang, Jiang Long |
| 2023 | Discovering Frequency Bursting Patterns in Temporal Graphs. Qianzhen Zhang, Deke Guo, Xiang Zhao, Long Yuan, Lailong Luo |
| 2023 | Discovering Structural Errors From Business Process Event Logs (Extended Abstract). Wei Song, Zhen Chang, Hans-Arno Jacobsen, Pengcheng Zhang |
| 2023 | Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha |
| 2023 | Discovery of Cross Joins (Extended Abstract). Miika Hannula, Zhuoxing Zhang, Bor-Kuan Song, Sebastian Link |
| 2023 | Disentangled Graph Social Recommendation. Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei |
| 2023 | Distributed (α, β)-Core Decomposition over Bipartite Graphs. Qing Liu, Xuankun Liao, Xin Huang, Jianliang Xu, Yunjun Gao |
| 2023 | Distributed Near-Maximum Independent Set Maintenance over Large-scale Dynamic Graphs. Xubo Wang, Dong Wen, Wenjie Zhang, Ying Zhang, Lu Qin |
| 2023 | Distribution-Regularized Federated Learning on Non-IID Data. Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang |
| 2023 | Double Hierarchical Labeling Shortest Distance Querying in Time-dependent Road Networks. Tangpeng Dan, Xiao Pan, Bolong Zheng, Xiaofeng Meng |
| 2023 | Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang |
| 2023 | Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang |
| 2023 | Dynamic Private Task Assignment under Differential Privacy. Leilei Du, Peng Cheng, Libin Zheng, Wei Xi, Xuemin Lin, Wenjie Zhang, Jing Fang |
| 2023 | Dynamic Shapley Value Computation. Jiayao Zhang, Haocheng Xia, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren |
| 2023 | EEPH: An Efficient Extendible Perfect Hashing for Hybrid PMem-DRAM. Qi Chen, Hao Hu, Cai Deng, Dingbang Liu, Shiyi Li, Bo Tang, Ting Yao, Wen Xia |
| 2023 | ENLD: Efficient Noisy Label Detection for Incremental Datasets in Data Lake. Xuanke You, Lan Zhang, Junyang Wang, Zhimin Bao, Yunfei Wu, Shuaishuai Dong |
| 2023 | EdgeNN: Efficient Neural Network Inference for CPU-GPU Integrated Edge Devices. Chenyang Zhang, Feng Zhang, Kuangyu Chen, Mingjun Chen, Bingsheng He, Xiaoyong Du |
| 2023 | EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge. Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen |
| 2023 | Efficient Augmentation for Imbalanced Deep Learning. Damien A. Dablain, Colin Bellinger, Bartosz Krawczyk, Nitesh V. Chawla |
| 2023 | Efficient Cross Dynamic Task Assignment in Spatial Crowdsourcing. Tianyue Ren, Xu Zhou, Kenli Li, Yunjun Gao, Ji Zhang, Keqin Li |
| 2023 | Efficient Deep Ensemble Inference via Query Difficulty-dependent Task Scheduling. Zichong Li, Lan Zhang, Mu Yuan, Miaohui Song, Qi Song |
| 2023 | Efficient Hierarchical Storage Management Empowered by Reinforcement Learning Extended Abstract. Tianru Zhang, Andreas Hellander, Salman Toor |
| 2023 | Efficient Maximum Signed Biclique Identification. Renjie Sun, Chen Chen, Xiaoyang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin |
| 2023 | Efficient Multi-GPU Graph Processing with Remote Work Stealing. Ke Meng, Liang Geng, Xue Li, Qian Tao, Wenyuan Yu, Jingren Zhou |
| 2023 | Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda |
| 2023 | Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda |
| 2023 | Efficient Processing of Group Planning Queries Over Spatial-Social Networks (Extended Abstract). Ahmed Al-Baghdadi, Gokarna Sharma, Xiang Lian |
| 2023 | Efficient Public Transport Planning on Roads. Libin Wang, Raymond Chi-Wing Wong |
| 2023 | Efficient Regular Expression Matching Based on Positional Inverted Index : (Extended Abstract). Tao Qiu, Xiaochun Yang, Bin Wang, Wei Wang |
| 2023 | Efficient Sink-Reachability Analysis via Graph Reduction (Extended Abstract). Jens Dietrich, Lijun Chang, Long Qian, Lyndon M. Henry, Catherine McCartin, Bernhard Scholz |
| 2023 | Efficient and Compact Spreadsheet Formula Graphs. Dixin Tang, Fanchao Chen, Christopher De Leon, Tana Wattanawaroon, Jeaseok Yun, Srinivasan Seshadri, Aditya G. Parameswaran |
| 2023 | Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract). Thanh Tam Nguyen, Chi Thang Duong, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen |
| 2023 | Efficient and Effective Path Compression in Large Graphs. Yilun Huang, Dong Wen, Longbin Lai, Zhengping Qian, Lu Qin, Ying Zhang |
| 2023 | Efficiently Answering Quality Constrained Shortest Distance Queries in Large Graphs. You Peng, Zhuo Ma, Wenjie Zhang, Xuemin Lin, Ying Zhang, Xiaoshuang Chen |
| 2023 | Efficiently Answering Top-k Window Aggregate Queries: Calculating Coverage Number Sequences over Hierarchical Structures. Jianqiu Xu, Raymond Chi-Wing Wong |
| 2023 | Efficiently Learning Spatial Indices. Guanli Liu, Jianzhong Qi, Christian S. Jensen, James Bailey, Lars Kulik |
| 2023 | Efficiently Sampling and Estimating Hypergraphs By Hybrid Random Walk. Lingling Zhang, Zhiwei Zhang, Guoren Wang, Ye Yuan |
| 2023 | Enabling Time-Centric Computation for Efficient Temporal Graph Traversals From Multiple Sources (Extended abstract). Jaewook Byun |
| 2023 | Enhanced Discrete Multi-modal Hashing: More Constraints yet Less Time to Learn (Extended Abstract). Yong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Xuelong Li |
| 2023 | Enhancing Decentralized Federated Learning for Non-IID Data on Heterogeneous Devices. Min Chen, Yang Xu, Hongli Xu, Liusheng Huang |
| 2023 | Enhancing Factorization Machines with Generalized Metric Learning (Extended Abstract). Yangyang Guo, Zhiyong Cheng, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang |
| 2023 | EulerFD: An Efficient Double-Cycle Approximation of Functional Dependencies. Qiongqiong Lin, Yunfan Gu, Jingyan Sai, Jinfei Liu, Kui Ren, Li Xiong, Tianzhen Wang, Yanbei Pang, Sheng Wang, Feifei Li |
| 2023 | Example Searcher: A Spatial Query System via Example. Jun Xuan Yew, Ningyi Liao, Dingheng Mo, Siqiang Luo |
| 2023 | Experimental Evaluation of Indexing Techniques for Shortest Distance Queries on Road Networks. Shikha Anirban, Junhu Wang, Md. Saiful Islam |
| 2023 | Explainable Hyperlink Prediction: A Hypergraph Edit Distance-Based Approach. Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Yongheng Dai |
| 2023 | Exploiting Reuse for GPU Subgraph Enumeration (Extended Abstract). Wentian Guo, Yuchen Li, Kian-Lee Tan |
| 2023 | Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning. Yuxiao Ye, Chi Harold Liu, Zipeng Dai, Jianxin Zhao, Ye Yuan, Guoren Wang, Jian Tang |
| 2023 | Extract Human Mobility Patterns Powered by City Semantic Diagram : Extended Abstract. Zhangqing Shan, Weiwei Sun, Baihua Zheng |
| 2023 | Extracting Graphs Properties with Semantic Joins. Yang Cao, Wenfei Fan, Wenzhi Fu, Ruochun Jin, Weijie Ou, Wenliang Yi |
| 2023 | Extreme-Aware Local-Global Attention for Spatio-Temporal Urban Mobility Learning. Huiqun Huang, Suining He, Mahan Tabatabaie |
| 2023 | FALL: A Modular Adaptive Learning Platform for Streaming Data. Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet |
| 2023 | FASI: FPGA-friendly Subgraph Isomorphism on Massive Graphs. Xunbin Su, Yinnian Lin, Lei Zou |
| 2023 | FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration. Zhihao Zeng, Yuntao Du, Ziquan Fang, Lu Chen, Shiliang Pu, Guodong Chen, Hui Wang, Yunjun Gao |
| 2023 | Fair Group Summarization with Graph Patterns. Hanchao Ma, Sheng Guan, Mengying Wang, Qi Song, Yinghui Wu |
| 2023 | Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs. Ziqi Yin, Qi Zhang, Wentao Zhang, Rong-Hua Li, Guoren Wang |
| 2023 | Fast Unsupervised Graph Embedding via Graph Zoom Learning. Ziyang Liu, Chaokun Wang, Yunkai Lou, Hao Feng |
| 2023 | Fed-SC: One-Shot Federated Subspace Clustering over High-Dimensional Data. Songjie Xie, Youlong Wu, Kewen Liao, Lu Chen, Chengfei Liu, Haifeng Shen, MingJian Tang, Lu Sun |
| 2023 | FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Lydia Y. Chen |
| 2023 | Federated IoT Interaction Vulnerability Analysis. Guangjing Wang, Hanqing Guo, Anran Li, Xiaorui Liu, Qiben Yan |
| 2023 | Few-Shot Named Entity Recognition via Meta-Learning (Extended Abstract). Jing Li, Billy Chiu, Shanshan Feng, Hao Wang |
| 2023 | Finding Best Tuple via Error-prone User Interaction. Qixu Chen, Raymond Chi-Wing Wong |
| 2023 | Finding Simplex Items in Data Streams. Zhuochen Fan, Jiarui Guo, Xiaodong Li, Tong Yang, Yikai Zhao, Yuhan Wu, Bin Cui, Yanwei Xu, Steve Uhlig, Gong Zhang |
| 2023 | Finding Top-k Important Edges on Bipartite Graphs: Ego-betweenness Centrality-based Approaches. Tongfeng Weng, Xu Zhou, Yixiang Fang, Kian-Lee Tan, Kenli Li |
| 2023 | Finding Top-k Optimal Routes with Collective Spatial Keywords on Road Networks. Jiajia Li, Xing Xiong, Lei Li, Dan He, Chuanyu Zong, Xiaofang Zhou |
| 2023 | Finer-Grained Engagement in Hypergraphs. Qi Luo, Dongxiao Yu, Yu Liu, Yanwei Zheng, Xiuzhen Cheng, Xuemin Lin |
| 2023 | Firestore: The NoSQL Serverless Database for the Application Developer. Ram Kesavan, David Gay, Daniel Thevessen, Jimit Shah, C. Mohan |
| 2023 | Flash: A Framework for Programming Distributed Graph Processing Algorithms. Xue Li, Ke Meng, Lu Qin, Longbin Lai, Wenyuan Yu, Zhengping Qian, Xuemin Lin, Jingren Zhou |
| 2023 | Forecasting COVID-19 Dynamics: Clustering, Generalized Spatiotemporal Attention, and Impacts of Mobility and Geographic Proximity. Tong Shen, Yang Li, José M. F. Moura |
| 2023 | GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs. Sheng Guan, Hanchao Ma, Mengying Wang, Yinghui Wu |
| 2023 | GAMMA: A Graph Pattern Mining Framework for Large Graphs on GPU. Lin Hu, Lei Zou, M. Tamer Özsu |
| 2023 | GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou |
| 2023 | GCRL: Efficient Delivery Area Assignment for Last-mile Logistics with Group-based Cooperative Reinforcement Learning. Hai Wang, Shuai Wang, Yu Yang, Desheng Zhang |
| 2023 | Gar: A Generate-and-Rank Approach for Natural Language to SQL Translation. Yuankai Fan, Zhenying He, Tonghui Ren, Dianjun Guo, Lin Chen, Ruisi Zhu, Guanduo Chen, Yinan Jing, Kai Zhang, X. Sean Wang |
| 2023 | GenSql: A Generative Natural Language Interface to Database Systems. Yuankai Fan, Tonghui Ren, Zhenying He, X. Sean Wang, Ye Zhang, Xingang Li |
| 2023 | Global Routing Optimization In Road Networks. Yehong Xu, Lei Li, Mengxuan Zhang, Zizhuo Xu, Xiaofang Zhou |
| 2023 | Globally Aware Contextual Embeddings for Named Entity Recognition in Social Media Streams. Satadisha Saha Bhowmick, Eduard C. Dragut, Weiyi Meng |
| 2023 | Graph Neural Networks for Tabular Data Learning. Cheng-Te Li, Yu-Che Tsai, Jay Chiehen Liao |
| 2023 | Graph-based Tool for Exploring PubMed Knowledge Base. Simone Bottoni, Alberto Trombetta, Flavio Bertini, Danilo Montesi, Francesca Bonin, Alessandra Pascale, Martin Gleize, Pierpaolo Tommasi |
| 2023 | Group Buying Recommendation Model Based on Multi-task Learning. Shuoyao Zhai, Baichuan Liu, Deqing Yang, Yanghua Xiao |
| 2023 | HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract). Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning |
| 2023 | HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs. Zhengyi Yang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Shunyang Li |
| 2023 | HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction. Jie Zhou, Xianshuai Cao, Wenhao Li, Lin Bo, Kun Zhang, Chuan Luo, Qian Yu |
| 2023 | Hierarchical Contextual Embeddings for Context-Aware Recommendations (Extended Abstract). Moshe Unger, Alexander Tuzhilin |
| 2023 | Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd. Haodi Zhang, Wenxi Huang, Zhenhan Su, Junyang Chen, Di Jiang, Lixin Fan, Chen Zhang, Defu Lian, Kaishun Wu |
| 2023 | Hierarchical Interest Modeling of Long-tailed Users for Click-Through Rate Prediction. Xu Xie, Jin Niu, Lifang Deng, Dan Wang, Jiandong Zhang, Zhihua Wu, Kaigui Bian, Gang Cao, Bin Cui |
| 2023 | HistSketch: A Compact Data Structure for Accurate Per-Key Distribution Monitoring. Jintao He, Jiaqi Zhu, Qun Huang |
| 2023 | Hop-Constrained s-t Simple Path Enumeration on Large Dynamic Graphs. Jiujing Zhang, Shiyu Yang, Dian Ouyang, Fan Zhang, Xuemin Lin, Long Yuan |
| 2023 | Human-AI Complex Task Planning. Sepideh Nikookar |
| 2023 | HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network. Khaled Mohammed Saifuddin, Briana Bumgardner, Farhan Tanvir, Esra Akbas |
| 2023 | HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu |
| 2023 | HyperCalm Sketch: One-Pass Mining Periodic Batches in Data Streams. Zirui Liu, Chaozhe Kong, Kaicheng Yang, Tong Yang, Ruijie Miao, Qizhi Chen, Yikai Zhao, Yaofeng Tu, Bin Cui |
| 2023 | HyperMinHash: MinHash in LogLog Space (Extended Abstract). Yun William Yu, Griffin M. Weber |
| 2023 | IFCA: Index-Free Community-Aware Reachability Processing Over Large Dynamic Graphs. Yue Pang, Lei Zou, Yu Liu |
| 2023 | INTERPRET: An INtegrated and adapTive framEwoRk to support Policy-makers in the urban EnvironmenT. Emilia Lenzi |
| 2023 | Impact-aware Maneuver Decision with Enhanced Perception for Autonomous Vehicle. Shuncheng Liu, Yuyang Xia, Xu Chen, Jiandong Xie, Han Su, Kai Zheng |
| 2023 | Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network. Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu |
| 2023 | In-Situ Cross-Database Query Processing. Haralampos Gavriilidis, Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl |
| 2023 | Inconsistency Detection with Temporal Graph Functional Dependencies. Morteza Alipour Langouri, Adam Mansfield, Fei Chiang, Yinghui Wu |
| 2023 | Incorporating User's Preference into Attributed Graph Clustering : Extended abstract. Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant |
| 2023 | Incremental Learning for Multi-Interest Sequential Recommendation. Zhikai Wang, Yanyan Shen |
| 2023 | Index-Based Biclique Percolation Communities Search on Bipartite Graphs. Zi Chen, Yiwei Zhao, Long Yuan, Xuemin Lin, Kai Wang |
| 2023 | Indexing for Near-Sorted Data. Aneesh Raman, Subhadeep Sarkar, Matthaios Olma, Manos Athanassoulis |
| 2023 | IndiBits: Incremental Discovery of Relaxed Functional Dependencies using Bitwise Similarity. Bernardo Breve, Loredana Caruccio, Stefano Cirillo, Vincenzo Deufemia, Giuseppe Polese |
| 2023 | InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou |
| 2023 | Influential Recommender System. Haoren Zhu, Hao Ge, Xiaodong Gu, Pengfei Zhao, Dik Lun Lee |
| 2023 | Instant Representation Learning for Recommendation over Large Dynamic Graphs. Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou |
| 2023 | Integrating Connection Search in Graph Queries. Angelos-Christos G. Anadiotis, Ioana Manolescu, Madhulika Mohanty |
| 2023 | Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates |
| 2023 | Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract). Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu |
| 2023 | Interactive Search with Mixed Attributes. Weicheng Wang, Raymond Chi-Wing Wong, Min Xie |
| 2023 | Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu |
| 2023 | JanusAQP: Efficient Partition Tree Maintenance for Dynamic Approximate Query Processing. Xi Liang, Stavros Sintos, Sanjay Krishnan |
| 2023 | Jointly Attacking Graph Neural Network and its Explanations. Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal |
| 2023 | KVSAgg: Secure Aggregation of Distributed Key-Value Sets. Yuhan Wu, Siyuan Dong, Yi Zhou, Yikai Zhao, Fangcheng Fu, Tong Yang, Chaoyue Niu, Fan Wu, Bin Cui |
| 2023 | Keyword-based Socially Tenuous Group Queries. Huaijie Zhu, Wei Liu, Jian Yin, Ningning Cui, Jianliang Xu, Xin Huang, Wang-Chien Lee |
| 2023 | Knock Out 2PC with Practicality Intact: a High-performance and General Distributed Transaction Protocol. Ziliang Lai, Hua Fan, Wenchao Zhou, Zhanfeng Ma, Xiang Peng, Feifei Li, Eric Lo |
| 2023 | Knowledge Graph Embedding Based on Graph Neural Network. Shuang Liang |
| 2023 | Koios: Top-k Semantic Overlap Set Search. Pranay Mundra, Jianhao Zhang, Fatemeh Nargesian, Nikolaus Augsten |
| 2023 | LCL: A Lock Chain Length-based Distributed Algorithm for Deadlock Detection and Resolution. Zhenkun Yang, Chen Qian, Xuwang Teng, Fanyu Kong, Fusheng Han, Quanqing Xu |
| 2023 | LHMM: A Learning Enhanced HMM Model for Cellular Trajectory Map Matching. Weijie Shi, Jiajie Xu, Junhua Fang, Pingfu Chao, An Liu, Xiaofang Zhou |
| 2023 | Lamps: Location-Aware Moving Top-k Pub/Sub (Extended abstract). Shunya Nishio, Daichi Amagata, Takahiro Hara |
| 2023 | Layer-refined Graph Convolutional Networks for Recommendation. Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao |
| 2023 | Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph. Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou |
| 2023 | Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning. Yukun Cao, Xike Xie, Kexin Huang |
| 2023 | Learned Probing Cardinality Estimation for High-Dimensional Approximate NN Search. Bolong Zheng, Ziyang Yue, Qi Hu, Xiaomeng Yi, Xiaofan Luan, Charles Xie, Xiaofang Zhou, Christian S. Jensen |
| 2023 | Learning Deep Graph Representations via Convolutional Neural Networks (Extended abstract). Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh |
| 2023 | Learning from Noisy Crowd Labels with Logics. Zhijun Chen, Hailong Sun, Haoqian He, Pengpeng Chen |
| 2023 | Leopard: A Black-Box Approach for Efficiently Verifying Various Isolation Levels. Keqiang Li, Siyang Weng, Peiyuan Liu, Lyu Ni, Chengcheng Yang, Rong Zhang, Xuan Zhou, Jianghang Lou, Gui Huang, Weining Qian, Aoying Zhou |
| 2023 | LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction. Meng Jiang, Yang Zhang, Yuan Gao, Yansong Wang, Fuli Feng, Xiangnan He |
| 2023 | LightTraffic: On Optimizing CPU-GPU Data Traffic for Efficient Large-scale Random Walks. Yipeng Xing, Yongkun Li, Zhiqiang Wang, Yinlong Xu, John C. S. Lui |
| 2023 | Lightweight-Yet-Efficient: Revitalizing Ball-Tree for Point-to-Hyperplane Nearest Neighbor Search. Qiang Huang, Anthony K. H. Tung |
| 2023 | Looking Back on the Past: Active Learning with Historical Evaluation Results : Extended Abstract. Jing Yao, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen |
| 2023 | Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices. Qiying Pan, Yifei Zhu, Lingyang Chu |
| 2023 | M Tianyue Cai, Huaiyu Wan, Fan Wu, Haomin Wen, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin |
| 2023 | MAMDR: A Model Agnostic Learning Framework for Multi-Domain Recommendation. Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, Shirui Pan |
| 2023 | MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection (Extended abstract). Laizhong Cui, Sudipta Acharya, Sumit Mishra, Yi Pan, Joshua Zhexue Huang |
| 2023 | MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning. Shangfei Zheng, Weiqing Wang, Jianfeng Qu, Hongzhi Yin, Wei Chen, Lei Zhao |
| 2023 | Marshalling Model Inference in Video Streams. Daren Chao, Nick Koudas, Xiaohui Yu |
| 2023 | Matrix Factorization with Landmarks for Spatial Data. Chenguang Fang, Yinan Mei, Shaoxu Song |
| 2023 | Metam: Goal-Oriented Data Discovery. Sainyam Galhotra, Yue Gong, Raul Castro Fernandez |
| 2023 | MetricJoin: Leveraging Metric Properties for Robust Exact Set Similarity Joins. Manuel Widmoser, Daniel Kocher, Nikolaus Augsten, Willi Mann |
| 2023 | MetroWatch: A Predictive System to Estimate Travel Attributes Using Smart Card Data. Janaka Chathuranga Brahmanage, Thivya Kandappu, Baihua Zheng |
| 2023 | Minimizing the Influence of Misinformation via Vertex Blocking. Jiadong Xie, Fan Zhang, Kai Wang, Xuemin Lin, Wenjie Zhang |
| 2023 | Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm (Extended Abstract). Wei Fang, Qiang Zhang, Jun Sun, Xiaojun Wu |
| 2023 | Mining Seasonal Temporal Patterns in Time Series. Van Long Ho, Nguyen Ho, Torben Bach Pedersen |
| 2023 | Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery. Yuting Qiang, Haomin Wen, Lixia Wu, Xiaowei Mao, Fan Wu, Huaiyu Wan, Haoyuan Hu |
| 2023 | Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract). Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye |
| 2023 | Modeling Spatial Trajectories with Attribute Representation Learning (Extended Abstract). Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng |
| 2023 | Modelling High-Order Social Relations for Item Recommendation (Extended Abstract). Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang |
| 2023 | Most Probable Densest Subgraphs. Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long |
| 2023 | Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract). Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi |
| 2023 | Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism. Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou |
| 2023 | Neighborhood Skyline on Graphs: Concepts, Algorithms and Applications. Qi Zhang, Rong-Hua Li, Hongchao Qin, Yongheng Dai, Ye Yuan, Guoren Wang |
| 2023 | Nested Loops Revisited Again. Hiroyuki Yamada, Kazuo Goda, Masaru Kitsuregawa |
| 2023 | Neural Node Matching for Multi-Target Cross Domain Recommendation. Wujiang Xu, Shaoshuai Li, Mingming Ha, Xiaobo Guo, Qiongxu Ma, Xiaolei Liu, Linxun Chen, Zhenfeng Zhu |
| 2023 | Non-Blocking Raft for High Throughput IoT Data. Tian Jiang, Xiangdong Huang, Shaoxu Song, Chen Wang, Jianmin Wang, Ruibo Li, Jincheng Sun |
| 2023 | On Explaining Confounding Bias. Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi |
| 2023 | On Sharding Across Heterogeneous Blockchains. Yuechen Tao, Bo Li, Baochun Li |
| 2023 | Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi |
| 2023 | Online Shipping Container Pricing Strategy Achieving Vanishing Regret with Limited Inventory. Yucen Gao, Xikai Wei, Xi Jing, Yangguang Shi, Xiaofeng Gao, Guihai Chen |
| 2023 | OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory. 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 |
| 2023 | Opponent-aware Order Pricing towards Hub-oriented Mobility Services. Zuohan Wu, Libin Zheng, Chen Jason Zhang, Huaijie Zhu, Jian Yin, Di Jiang |
| 2023 | Optimizing Graph Partition by Optimal Vertex-Cut: A Holistic Approach. Wenwen Qu, Weixi Zhang, Ji Cheng, Chaorui Zhang, Wei Han, Bo Bai, Chen Jason Zhang, Liang He, Xiaoling Wang |
| 2023 | Orchestrating Large-Scale SpGEMMs using Dynamic Block Distribution and Data Transfer Minimization on Heterogeneous Systems. Taehyeong Park, Seokwon Kang, Myung-Hwan Jang, Sang-Wook Kim, Yongjun Park |
| 2023 | PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning. Jianing Zhang, Zhaojing Luo, Quanqing Xu, Meihui Zhang |
| 2023 | PM-Blade: A Persistent Memory Augmented LSM-tree Storage for Database. Yinan Zhang, Huiqi Hu, Xuan Zhou, Enlong Xie, Hongdi Ren, Le Jin |
| 2023 | PSPC: Efficient Parallel Shortest Path Counting on Large-Scale Graphs. You Peng, Jeffrey Xu Yu, Sibo Wang |
| 2023 | Parallel Filtered Graphs for Hierarchical Clustering. Shangdi Yu, Julian Shun |
| 2023 | Parallelizing Stream Compression for IoT Applications on Asymmetric Multicores. Xianzhi Zeng, Shuhao Zhang |
| 2023 | Partitioner Selection with EASE to Optimize Distributed Graph Processing. Nikolai Merkel, Ruben Mayer, Tawkir Ahmed Fakir, Hans-Arno Jacobsen |
| 2023 | Personalized Diversification for Neural Re-ranking in Recommendation. Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang |
| 2023 | Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting. Chin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen |
| 2023 | PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation. Mingzhe Liu, Han Huang, Hao Feng, Leilei Sun, Bowen Du, Yanjie Fu |
| 2023 | Pricing Prediction Services for Profit Maximization with Incomplete Information. Huanhuan Peng, Xiaoye Miao, Lu Chen, Yunjun Gao, Jianwei Yin |
| 2023 | PrivNUD: Effective Range Query Processing under Local Differential Privacy. Ning Wang, Yaohua Wang, Zhigang Wang, Jie Nie, Zhiqiang Wei, Peng Tang, Yu Gu, Ge Yu |
| 2023 | Probabilistic Majority Rule-Based Group Recommendation. Karim Benouaret, Kian-Lee Tan |
| 2023 | Pusion - A Generic and Automated Framework for Decision Fusion. Yannick Wilhelm, Peter Reimann, Wolfgang Gauchel, Steffen Klein, Bernhard Mitschang |
| 2023 | PyLatheDB - A Library for Relational Keyword Search with Support to Schema References. Paulo Martins, Ariel Afonso, Altigran S. da Silva |
| 2023 | RADAR: Reactive Concept Drift Management with Robust Variational Inference for Evolving IoT Data Streams. Abdullah Alsaedi, Nasrin Sohrabi, Md. Redowan Mahmud, Zahir Tari |
| 2023 | REDE: Exploring Relay Transportation for Efficient Last-mile Delivery. Wenjun Lyu, Haotian Wang, Zhiqing Hong, Guang Wang, Yu Yang, Yunhuai Liu, Desheng Zhang |
| 2023 | RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation. Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin |
| 2023 | REncoder: A Space-Time Efficient Range Filter with Local Encoder. Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Huanchen Zhang, Bin Cui |
| 2023 | RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer. Yuqi Chen, Hanyuan Zhang, Weiwei Sun, Baihua Zheng |
| 2023 | ROI-demand Traffic Prediction: A Pre-train, Query and Fine-tune Framework. Yue Cui, Shuhao Li, Wenjin Deng, Zhaokun Zhang, Jing Zhao, Kai Zheng, Xiaofang Zhou |
| 2023 | Reachability Queries with Label and Substructure Constraints on Knowledge Graphs (Extended abstract). Xiaolong Wan, Hongzhi Wang |
| 2023 | Reactive Company Control in Company Knowledge Graphs. Davide Magnanimi, Luigi Bellomarini, Stefano Ceri, Davide Martinenghi |
| 2023 | Real-Time LSM-Trees for HTAP Workloads. Hemant Saxena, Lukasz Golab, Stratos Idreos, Ihab F. Ilyas |
| 2023 | Redesigning High-Performance LSM-based Key-Value Stores with Persistent CPU Caches. Yijie Zhong, Zhirong Shen, Zixiang Yu, Jiwu Shu |
| 2023 | Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish |
| 2023 | Reinforcement Learning based Tree Decomposition for Distance Querying in Road Networks. Bolong Zheng, Yong Ma, Jingyi Wan, Yongyong Gao, Kai Huang, Xiaofang Zhou, Christian S. Jensen |
| 2023 | Relational Fabric: Transparent Data Transformation. Tarikul Islam Papon, Ju Hyoung Mun, Shahin Roozkhosh, Denis Hoornaert, Ahmed Sanaullah, Ulrich Drepper, Renato Mancuso, Manos Athanassoulis |
| 2023 | Relational Message Passing for Fully Inductive Knowledge Graph Completion. Yuxia Geng, Jiaoyan Chen, Jeff Z. Pan, Mingyang Chen, Song Jiang, Wen Zhang, Huajun Chen |
| 2023 | Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction. Zetao Zheng, Jie Shao, Jia Zhu, Heng Tao Shen |
| 2023 | Reliable Transactions in Serverless-Edge Architecture. Suyash Gupta, Sajjad Rahnama, Erik Linsenmayer, Faisal Nawab, Mohammad Sadoghi |
| 2023 | ResuFormer: Semantic Structure Understanding for Resumes via Multi-Modal Pre-training. Kaichun Yao, Jingshuai Zhang, Chuan Qin, Xin Song, Peng Wang, Hengshu Zhu, Hui Xiong |
| 2023 | Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract). Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini |
| 2023 | Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks. Carl Yang, Jiawei Han |
| 2023 | Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li |
| 2023 | Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics. Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan |
| 2023 | S/C: Speeding up Data Materialization with Bounded Memory. Zhaoheng Li, Xinyu Pi, Yongjoo Park |
| 2023 | SAMI: A Shape-Aware Cycling Map Inference Framework for Designated Driving Service. Wenyi Shen, Wenyu Wu, Jiali Mao, Jie Chen, Shaosheng Cao, Lisheng Zhao, Aoying Zhou, Lin Zhou |
| 2023 | SASPAR: Shared Adaptive Stream Partitioning. Jeyhun Karimov, Hans-Arno Jacobsen |
| 2023 | SChain: Scalable Concurrency over Flexible Permissioned Blockchain. Xiaodong Qi, Zhihao Chen, Haizhen Zhuo, Quanqing Xu, Chengyu Zhu, Zhao Zhang, Cheqing Jin, Aoying Zhou, Ying Yan, Hui Zhang |
| 2023 | SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs. Xiao Qin, Nasrullah Sheikh, Chuan Lei, Berthold Reinwald, Giacomo Domeniconi |
| 2023 | SK-Gradient: Efficient Communication for Distributed Machine Learning with Data Sketch. Jie Gui, Yuchen Song, Zezhou Wang, Chenhong He, Qun Huang |
| 2023 | SPA: Economical and Workload-Driven Indexing for Data Analytics in the Cloud. Peter Boncz, Yannis Chronis, Jan Finis, Stefan Halfpap, Viktor Leis, Thomas Neumann, Anisoara Nica, Caetano Sauer, Knut Stolze, Marcin Zukowski |
| 2023 | SUFS: A Generic Storage Usage Forecasting Service Through Adaptive Ensemble Learning. Luming Sun, Shijin Gong, Tieying Zhang, Fuxin Jiang, Zhibing Zhao, Jianjun Chen, Xinyu Zhang |
| 2023 | SVQ-ACT: Querying for Actions over Videos. Daren Chao, Kaiwen Chen, Nick Koudas |
| 2023 | Saguaro: An Edge Computing-Enabled Hierarchical Permissioned Blockchain. Mohammad Javad Amiri, Ziliang Lai, Liana Patel, Boon Thau Loo, Eric Lo, Wenchao Zhou |
| 2023 | Scalable Algorithms for Densest Subgraph Discovery. Wensheng Luo, Zhuo Tang, Yixiang Fang, Chenhao Ma, Xu Zhou |
| 2023 | Scalable Online Interval Join on Modern Multicore Processors in OpenMLDB. Hao Zhang, Xianzhi Zeng, Shuhao Zhang, Xinyi Liu, Mian Lu, Zhao Zheng |
| 2023 | Scaling Blockchain Consensus via a Robust Shared Mempool. Fangyu Gai, Jianyu Niu, Ivan Beschastnikh, Chen Feng, Sheng Wang |
| 2023 | Schema Matching using Pre-Trained Language Models. Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Müller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel |
| 2023 | Selecting Sub-tables for Data Exploration. Yael Amsterdamer, Susan B. Davidson, Tova Milo, Kathy Razmadze, Amit Somech |
| 2023 | Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting. Shengnan Guo, Youfang Lin, Letian Gong, Chenyu Wang, Zeyu Zhou, Zekai Shen, Yiheng Huang, Huaiyu Wan |
| 2023 | Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics. Jiawei Jiang, Dayan Pan, Houxing Ren, Xiaohan Jiang, Chao Li, Jingyuan Wang |
| 2023 | Semi-supervised Learning with Network Embedding on Ambient RF Signals for Geofencing Services. Weipeng Zhuo, Ka Ho Chiu, Jierun Chen, Jiajie Tan, Edmund Sumpena, S.-H. Gary Chan, Sangtae Ha, Chul-Ho Lee |
| 2023 | Sequence-Oriented DBMS Fuzzing. Jie Liang, Yaoguang Chen, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, Yu Jiang, Xiangdong Huang, Ting Chen, Jiashui Wang, Jiajia Li |
| 2023 | Sequential Recommendation with User Causal Behavior Discovery. Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen |
| 2023 | Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma |
| 2023 | SketchConf: A Framework for Automatic Sketch Configuration. Ruijie Miao, Fenghao Dong, Yikai Zhao, Yiming Zhao, Yuhan Wu, Kaicheng Yang, Tong Yang, Bin Cui |
| 2023 | Skyline Micro-Cluster Query: A Novel and Practical Spatial Query. Jing Lu, Yuhai Zhao, Zhengkui Wang, Guoren Wang |
| 2023 | Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract. Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He |
| 2023 | Stable Tuple Embeddings for Dynamic Databases. Jan Tönshoff, Neta Friedman, Martin Grohe, Benny Kimelfeld |
| 2023 | StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications. 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 |
| 2023 | Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and Preparation. Runhui Wang, Yuliang Li, Jin Wang |
| 2023 | Synthetic Data Generation for Enterprise DBMS. Anupam Sanghi, Jayant R. Haritsa |
| 2023 | T-FinKB: A Platform of Temporal Financial Knowledge Base Construction. Xinyi Zhu, Liping Wang, Hao Xin, Xiaohan Wang, Zhifeng Jia, Jiyao Wang, Chunming Ma, Yuxiang Zengt |
| 2023 | T-PAIR: Temporal Node pair Embedding for Automatic Biomedical Hypothesis Generation (Extended abstract). Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang |
| 2023 | TDB: Breaking All Hop-Constrained Cycles in Billion-Scale Directed Graphs. You Peng, Xuemin Lin, Michael Yu, Wenjie Zhang, Lu Qin |
| 2023 | TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection. Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Zhiyu Liang, Chunnan Wang, Xinyue Shao, Zheng Liang |
| 2023 | TSExplain: Explaining Aggregated Time Series by Surfacing Evolving Contributors. Yiru Chen, Silu Huang |
| 2023 | Tele-Knowledge Pre-training for Fault Analysis. 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 |
| 2023 | Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract). Xinghao Yang, Weifeng Liu, Wei Liu |
| 2023 | The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines. Lennart Behme, Saravanan Thirumuruganathan, Alireza Rezaei Mahdiraji, Jorge-Arnulfo Quiané-Ruiz, Volker Markl |
| 2023 | The LSM Design Space and its Read Optimizations. Subhadeep Sarkar, Niv Dayan, Manos Athanassoulis |
| 2023 | The Metaverse Data Deluge: What Can We Do About It? 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 |
| 2023 | The Node-Similarity Distribution of Complex Networks and Its Applications in Link Prediction (Extended Abstract). Cunlai Pu, Jie Li, Jian Wang, Tony Q. S. Quek |
| 2023 | These Rows Are Made for Sorting and That's Just What We'll Do. Laurens Kuiper, Hannes Mühleisen |
| 2023 | Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM (Extended abstract). Chi Harold Liu, Yu Wang, Chengzhe Piao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu |
| 2023 | Top-r keyword-based community search in attributed graphs. Junhao Ye, Yuanyuan Zhu, Lu Chen |
| 2023 | Toward Efficient Automated Feature Engineering. Kafeng Wang, Pengyang Wang, Chengzhong Xu |
| 2023 | Toward a Unified Framework for Unsupervised Complex Tabular Reasoning. Zhenyu Li, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang |
| 2023 | Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye |
| 2023 | Towards Efficient MIT query in Trajectory Data. Jian Chen, Hong Gao, Kaiqi Zhang, Jiachi Wang, Yubo Luo, Zhenqing Wu, Jianzhong Li |
| 2023 | Towards Efficient Shortest Path Counting on Billion-Scale Graphs. Yiqi Wang, Long Yuan, Zi Chen, Wenjie Zhang, Xuemin Lin, Qing Liu |
| 2023 | Towards Explainable Table Interpretation Using Multi-view Explanations. Yunjun Gao, Pengfei Wang, Xiaocan Zeng, Lu Chen, Yuren Mao, Ziheng Wei, Miao Li |
| 2023 | Towards Higher-order Topological Consistency for Unsupervised Network Alignment. Qingqiang Sun, Xuemin Lin, Ying Zhang, Wenjie Zhang, Chaoqi Chen |
| 2023 | Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou |
| 2023 | Towards Optimizing Storage Costs on the Cloud. Koyel Mukherjee, Raunak Shah, Shiv Kumar Saini, Karanpreet Singh, Khushi, Harsh Kesarwani, Kavya Barnwal, Ayush Chauhan |
| 2023 | Towards Understanding the Instability of Network Embedding (Extended Abstract). Chenxu Wang, Wei Rao, Wenna Guo, Pinghui Wang, Jun Liu, Xiaohong Guan |
| 2023 | Towards a GML-Enabled Knowledge Graph Platform. Hussein Abdallah, Essam Mansour |
| 2023 | Towards an AutoML System for Fair Classifications Nico Lässig |
| 2023 | Track Merging for Effective Video Query Processing. Daren Chao, Yueting Chen, Nick Koudas, Xiaohui Yu |
| 2023 | Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract. Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael Kwok-Po Ng |
| 2023 | Traveling Back in Time: A Visual Debugger for Stream Processing Applications. Timo Räth, Kai-Uwe Sattler |
| 2023 | Two-Sided Instant Incentive Optimization under a Shared Budget in Ride-Hailing Services. Junlin Chen, Xin Liu, Weidong Liu, Hai Jiang |
| 2023 | TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems. Yuanzhe Zhang, Shirui Pan, Jiangshan Yu |
| 2023 | UADB: Unsupervised Anomaly Detection Booster. Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian |
| 2023 | Uncertainty Quantification for Traffic Forecasting: A Unified Approach. Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu |
| 2023 | Understanding the Price of Data in Commercial Data Marketplaces. Santiago Andrés Azcoitia, Costas Iordanou, Nikolaos Laoutaris |
| 2023 | UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing. Qifang Zhao, Tianyu Li, Meng Du, Yu Jiang, Qinghui Sun, Zhongyao Wang, Hong Liu, Huan Xu |
| 2023 | Unshackling Database Benchmarking from Synthetic Workloads. Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi |
| 2023 | Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM. Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li |
| 2023 | Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method. Yihong Huang, Liping Wang, Fan Zhang, Xuemin Lin |
| 2023 | User-Defined Functions in Modern Data Engines. Yannis Foufoulas, Alkis Simitsis |
| 2023 | VC-dimension and Rademacher Averages of Subgraphs, with Applications to Graph Mining. Paolo Pellizzoni, Fabio Vandin |
| 2023 | VEND: Vertex Encoding for Edge Nonexistence Determination. Youhuan Li, Hangyu Zheng, Lei Zou, Xiaosen Li, Ziming Li, Pin Xiao, Yangyu Tao, Zheng Qin |
| 2023 | Ver: View Discovery in the Wild. Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez |
| 2023 | Verification-Free Approaches to Efficient Locally Densest Subgraph Discovery. Tran Ba Trung, Lijun Chang, Nguyen Tien Long, Kai Yao, Huynh Thi Thanh Binh |
| 2023 | Verifying the Correctness of Analytic Query Results (Extended Abstract). Masoud Nosrati, Ying Cai |
| 2023 | Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-similarity (Extended abstract). MeiYu Liang, Junping Du, Linghui Li, Zhe Xue, Xiaoxiao Wang, Feifei Kou, Xu Wang |
| 2023 | Visualization Recommendation Through Visual Relation Learning and Visual Preference Learning. Daomin Ji, Hui Luo, Zhifeng Bao |
| 2023 | Voting-based Opinion Maximization. Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan |
| 2023 | When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks. Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chenxing Wang |
| 2023 | Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang |
| 2023 | Wind-Bell Index: Towards Ultra-Fast Edge Query for Graph Databases. Rui Qiu, Yi Ming, Yisen Hong, Haoyu Li, Tong Yang |
| 2023 | Workload-Aware Log-Structured Merge Key-Value Store for NVM-SSD Hybrid Storage. Lixiang Chen, Ruihao Chen, Chengcheng Yang, Yuxing Han, Rong Zhang, Xuan Zhou, Peiquan Jin, Weining Qian |
| 2023 | Ziziphus: Scalable Data Management Across Byzantine Edge Servers. Mohammad Javad Amiri, Daniel Shu, Sujaya Maiyya, Divyakant Agrawal, Amr El Abbadi |
| 2023 | dLSM: An LSM-Based Index for Memory Disaggregation. Ruihong Wang, Jianguo Wang, Prishita Kadam, M. Tamer Özsu, Walid G. Aref |
| 2023 | iORDER: Mining Implicit Domain Orders. Alexander Bianchi, Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta |