| 2022 | Highly Efficient String Similarity Search and Join over Compressed Indexes. | Guorui Xiao, Jin Wang, Chunbin Lin, Carlo Zaniolo |
| 2022 | Rank-Regret Minimization. | Xingxing Xiao, Jianzhong Li |
| 2022 | Efficient Learning-based Community-Preserving Graph Generation. | Sheng Xiang, Dawei Cheng, Jianfu Zhang, Zhenwei Ma, Xiaoyang Wang, Ying Zhang |
| 2022 | Deep Popularity Prediction in Multi-Source Cascade with HERI-GCN. | Zhen Wu, Jingya Zhou, Ling Liu, Chaozhuo Li, Fei Gu |
| 2022 | Cheaper Is Better: Exploring Price Competitiveness for Online Purchase Prediction. | Han Wu, Hongzhe Zhang, Liangyue Li, Zulong Chen, Fanwei Zhu, Xiao Fang |
| 2022 | Rule Learning over Knowledge Graphs with Genetic Logic Programming. | Lianlong Wu, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Georg Gottlob |
| 2022 | Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress (Extended Abstract). | Renjie Wu, Eamonn J. Keogh |
| 2022 | Triple-Fact Retriever: An explainable reasoning retrieval model for multi-hop QA problem. | Chengmin Wu, Enrui Hu, Ke Zhan, Lan Luo, Xinyu Zhang, Hao Jiang, Qirui Wang, Zhao Cao, Fan Yu, Lei Chen |
| 2022 | When is Early Classification of Time Series Meaningful? (Extended Abstract). | Renjie Wu, Audrey Der, Eamonn J. Keogh |
| 2022 | Factor Windows: Cost-based Query Rewriting for Optimizing Correlated Window Aggregates. | Wentao Wu, Philip A. Bernstein, Alex Raizman, Christina Pavlopoulou |
| 2022 | Ingredient-based Forecast of Sold Dish Portions in Campus Canteen Kitchens. | Lucas Woltmann, Jonathan Drechsel, Claudio Hartmann, Wolfgang Lehner |
| 2022 | How Much Storage Do We Need for High Performance Server. | Jia Wei, Xingjun Zhang |
| 2022 | A Branch Elimination-based Efficient Algorithm for Large-scale Multiple Longest Common Subsequence Problem (Extended Abstract). | Shiwei Wei, Yuping Wang, Yiu-ming Cheung |
| 2022 | Farming Your ML-based Query Optimizer's Food. | Robin Van De Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quian-Ruiz, Volker Markl |
| 2022 | Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. | Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin |
| 2022 | Discovering Hierarchy of Bipartite Graphs with Cohesive Subgraphs. | Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Shunyang Li |
| 2022 | Efficient Participant Contribution Evaluation for Horizontal and Vertical Federated Learning. | Junhao Wang, Lan Zhang, Anran Li, Xuanke You, Haoran Cheng |
| 2022 | Efficient Personalized Maximum Biclique Search. | Kai Wang, Wenjie Zhang, Xuemin Lin, Lu Qin, Alexander Zhou |
| 2022 | Reachability-Driven Influence Maximization in Time-dependent Road-social Networks. | Yishu Wang, Ye Yuan, Wenjie Zhang, Yi Zhang, Xuemin Lin, Guoren Wang |
| 2022 | vChain+: Optimizing Verifiable Blockchain Boolean Range Queries. | Haixin Wang, Cheng Xu, Ce Zhang, Jianliang Xu, Zhe Peng, Jian Pei |
| 2022 | Enhancing Federated Learning with In-Cloud Unlabeled Data. | Lun Wang, Yang Xu, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang |
| 2022 | Self-Supervised Dual-Channel Attentive Network for Session-based Social Recommendation. | Liuyin Wang, Xianghong Xu, Kai Ouyang, Huanzhong Duan, Yanxiong Lu, Hai-Tao Zheng |
| 2022 | ScaleG: A Distributed Disk-based System for Vertex-centric Graph Processing (Extended Abstract). | Xubo Wang, Dong Wen, Lu Qin, Lijun Chang, Wenjie Zhang |
| 2022 | Online Cardinality Estimation by Self-morphing Bitmaps. | Haibo Wang, Chaoyi Ma, Shigang Chen, Yuanda Wang |
| 2022 | Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning. | Yu Wang, Chi Harold Liu, Chengzhe Piao, Ye Yuan, Rui Han, Guoren Wang, Jian Tang |