| 2023 | Incremental Learning for Multi-Interest Sequential Recommendation. | Zhikai Wang, Yanyan Shen |
| 2023 | Towards Understanding the Instability of Network Embedding (Extended Abstract). | Chenxu Wang, Wei Rao, Wenna Guo, Pinghui Wang, Jun Liu, Xiaohong Guan |
| 2023 | Complete Join Reordering for Null-Intolerant Joins. | TaiNing Wang, Yunpeng Niu, Chee-Yong Chan |
| 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 | Federated IoT Interaction Vulnerability Analysis. | Guangjing Wang, Hanqing Guo, Anran Li, Xiaorui Liu, Qiben Yan |
| 2023 | Sequential Recommendation with User Causal Behavior Discovery. | Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen |
| 2023 | HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. | Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu |
| 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 | A Bayesian Graph Neural Network for EEG Classification - A Win-Win on Performance and Interpretability. | Jing Wang, Xiaojun Ning, Wangjun Shi, Youfang Lin |
| 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 | dLSM: An LSM-Based Index for Memory Disaggregation. | Ruihong Wang, Jianguo Wang, Prishita Kadam, M. Tamer zsu, Walid G. Aref |
| 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 | Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and Preparation. | Runhui Wang, Yuliang Li, Jin Wang |
| 2023 | Reachability Queries with Label and Substructure Constraints on Knowledge Graphs (Extended abstract). | Xiaolong Wan, Hongzhi Wang |
| 2023 | Data Ambiguity Profiling for the Generation of Training Examples. | Enzo Veltri, Gilbert Badaro, Mohammed Saeed, Paolo Papotti |
| 2023 | Quantum Annealing Method for Dynamic Virtual Machine and Task Allocation in Cloud Infrastructures from Sustainability Perspective. | Valter Uotila, Jiaheng Lu |
| 2023 | Hierarchical Contextual Embeddings for Context-Aware Recommendations (Extended Abstract). | Moshe Unger, Alexander Tuzhilin |
| 2023 | Provenance-based Explanations for Machine Learning (ML) Models. | Justin Turnau, Nkechi Akwari, Seokki Lee, Dwarkesh Rajput |
| 2023 | Verification-Free Approaches to Efficient Locally Densest Subgraph Discovery. | Tran Ba Trung, Lijun Chang, Tien Long Nguyen, Kai Yao, Huynh Thi Thanh Binh |
| 2023 | Stable Tuple Embeddings for Dynamic Databases. | Jan Tnshoff, Neta Friedman, Martin Grohe, Benny Kimelfeld |
| 2023 | InvestLens: A Visual Analytics Approach to Inspecting the Dynamics of Venture Capital Investment Network. | Yun Tian, Jia Liu, Xinyi Zhang, Xingsheng Yang, Zhaoru Ke, Chenyang Zhang, Ling Liao, Suting Hong, Haipeng Zhang, Quan Li |
| 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 | On Sharding Across Heterogeneous Blockchains. | Yuechen Tao, Bo Li, Baochun Li |
| 2023 | Preserving Privacy in Image Database through Bit-planes Obfuscation. | Vishesh Kumar Tanwar, Ashish Gupta, Sanjay Madria, Sajal K. Das |
| 2023 | Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. | Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li |