| Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting W Qian, Y Zhao, D Zhang, B Chen, K Zheng, X Zhou IEEE Transactions on Knowledge and Data Engineering, 2023 | | 2023 |
| Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation G Ye, QVH Nguyen, H Yin arXiv preprint arXiv:2308.13269, 2023 | | 2023 |
| HeteFedRec: Federated Recommender Systems with Model Heterogeneity W Yuan, L Qu, L Cui, Y Tong, X Zhou, H Yin arXiv preprint arXiv:2307.12810, 2023 | | 2023 |
| DB-LSH 2.0: Locality-Sensitive Hashing With Query-Based Dynamic Bucketing Y Tian, X Zhao, X Zhou IEEE Transactions on Knowledge and Data Engineering, 2023 | 7 | 2023 |
| Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing Y Zhao, K Zheng, Z Wang, L Deng, B Yang, TB Pedersen, CS Jensen, ... The VLDB Journal, 1-22, 2023 | 2 | 2023 |
| Evidence Reasoning and Curriculum Learning for Document-level Relation Extraction T Xu, J Qu, W Hua, Z Li, J Xu, A Liu, L Zhao, X Zhou IEEE Transactions on Knowledge and Data Engineering, 2023 | | 2023 |
| Auto-regressive extractive summarization with replacement T Zhu, W Hua, J Qu, S Hosseini, X Zhou World Wide Web 26 (4), 2003-2026, 2023 | 1 | 2023 |
| TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database K Huang, H Hu, Q Ye, K Tian, B Zheng, X Zhou Proceedings of the ACM on Management of Data 1 (1), 1-26, 2023 | | 2023 |
| Quaternion-based graph convolution network for recommendation Y Fang, P Zhao, G Liu, Y Liu, VS Sheng, L Zhao, X Zhou World Wide Web, 1-20, 2023 | 3 | 2023 |
| Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation X Du, H Yuan, P Zhao, J Fang, G Liu, Y Liu, VS Sheng, X Zhou arXiv preprint arXiv:2305.04322, 2023 | | 2023 |
| Efficient kNN query for moving objects on time-dependent road networks J Li, C Ni, D He, L Li, X Xia, X Zhou The VLDB Journal 32 (3), 575-594, 2023 | 6 | 2023 |
| Multi-constraint shortest path using forest hop labeling Z Liu, L Li, M Zhang, W Hua, X Zhou The VLDB Journal 32 (3), 595-621, 2023 | 5 | 2023 |
| Controllable Universal Fair Representation Learning Y Cui, M Chen, K Zheng, L Chen, X Zhou Proceedings of the ACM Web Conference 2023, 949-959, 2023 | 1 | 2023 |
| TEA: Time-aware Entity Alignment in Knowledge Graphs Y Liu, W Hua, K Xin, S Hosseini, X Zhou Proceedings of the ACM Web Conference 2023, 2591-2599, 2023 | | 2023 |
| Trajectory Representation Learning Based on Road Network Partition for Similarity Computation J Li, M Wang, L Li, K Xin, W Hua, X Zhou International Conference on Database Systems for Advanced Applications, 396-413, 2023 | | 2023 |
| Edge-enhanced global disentangled graph neural network for sequential recommendation Y Li, Y Hao, P Zhao, G Liu, Y Liu, VS Sheng, X Zhou ACM Transactions on Knowledge Discovery from Data 17 (6), 1-22, 2023 | 3 | 2023 |
| Sequential Recommendation with Diffusion Models H Du, H Yuan, Z Huang, P Zhao, X Zhou arXiv preprint arXiv:2304.04541, 2023 | 2 | 2023 |
| Reinforcement Learning based Tree Decomposition for Distance Querying in Road Networks B Zheng, Y Ma, J Wan, Y Gao, K Huang, X Zhou, CS Jensen 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1678-1690, 2023 | | 2023 |
| Global Routing Optimization In Road Networks Y Xu, L Li, M Zhang, Z Xu, X Zhou 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2524-2537, 2023 | | 2023 |
| Finding Top-k Optimal Routes with Collective Spatial Keywords on Road Networks J Li, X Xiong, L Li, D He, C Zong, X Zhou 2023 IEEE 39th International Conference on Data Engineering (ICDE), 368-380, 2023 | 1 | 2023 |
Kai Zheng 郑凯Professor of Computer Science, University of Electronic Science and Technology of China在 uestc.edu.cn 的电子邮件经过验证
