Metakg: Meta-learning on knowledge graph for cold-start recommendation Y Du, X Zhu, L Chen, Z Fang, Y Gao IEEE Transactions on Knowledge and Data Engineering 35 (10), 9850-9863, 2022 | 73 | 2022 |
Self-guided learning to denoise for robust recommendation Y Gao, Y Du, Y Hu, L Chen, X Zhu, Z Fang, B Zheng Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 69 | 2022 |
Real-time distributed co-movement pattern detection on streaming trajectories L Chen, Y Gao, Z Fang, X Miao, CS Jensen, C Guo Proceedings of the VLDB Endowment 12 (10), 1208-1220, 2019 | 66 | 2019 |
Spatio-temporal trajectory similarity learning in road networks Z Fang, Y Du, X Zhu, D Hu, L Chen, Y Gao, CS Jensen Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 59 | 2022 |
MDTP: A multi-source deep traffic prediction framework over spatio-temporal trajectory data Z Fang, L Pan, L Chen, Y Du, Y Gao Proceedings of the VLDB Endowment 14 (8), 1289-1297, 2021 | 54 | 2021 |
E2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training Z Fang, Y Du, L Chen, Y Hu, Y Gao, G Chen 2021 IEEE 37th International Conference on Data Engineering (ICDE), 696-707, 2021 | 45 | 2021 |
Ldptrace: Locally differentially private trajectory synthesis Y Du, Y Hu, Z Zhang, Z Fang, L Chen, B Zheng, Y Gao Proceedings of the VLDB Endowment 16 (8), 1897-1909, 2023 | 44 | 2023 |
Dragoon: a hybrid and efficient big trajectory management system for offline and online analytics Z Fang, L Chen, Y Gao, L Pan, CS Jensen The VLDB Journal 30, 287-310, 2021 | 30 | 2021 |
Spatio-temporal trajectory similarity measures: A comprehensive survey and quantitative study D Hu, L Chen, H Fang, Z Fang, T Li, Y Gao IEEE Transactions on Knowledge and Data Engineering, 2023 | 27 | 2023 |
Coming: A real-time co-movement mining system for streaming trajectories Z Fang, Y Gao, L Pan, L Chen, X Miao, CS Jensen Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 24 | 2020 |
When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters. Z Fang, D Wu, L Pan, L Chen, Y Gao IJCAI 22, 2030-2036, 2022 | 18 | 2022 |
Ghost: A general framework for high-performance online similarity queries over distributed trajectory streams Z Fang, S Gong, L Chen, J Xu, Y Gao, CS Jensen Proceedings of the ACM on Management of Data 1 (2), 1-25, 2023 | 10 | 2023 |
An efficient and distributed framework for real-time trajectory stream clustering Y Gao, Z Fang, J Xu, S Gong, C Shen, L Chen IEEE Transactions on Knowledge and Data Engineering, 2023 | 9 | 2023 |
ST2Vec-Spatio-Temporal Trajectory Similarity Learning in Road Networks. Z Fang, Y Du, X Zhu, L Chen, Y Gao, CS Jensen | 7 | 2021 |
CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution Y Guo, L Chen, Z Zhou, B Zheng, Z Fang, Z Zhang, Y Mao, Y Gao Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
A lightweight framework for fast trajectory simplification Z Fang, C He, L Chen, D Hu, Q Sun, L Li, Y Gao 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2386-2399, 2023 | 4 | 2023 |
FLBooster: A unified and efficient platform for federated learning acceleration Z Zeng, Y Du, Z Fang, L Chen, S Pu, G Chen, H Wang, Y Gao 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3140-3153, 2023 | 4 | 2023 |
Estimator: An Effective and Scalable Framework for Transportation Mode Classification over Trajectories D Hu, Z Fang, H Fang, T Li, C Shen, L Chen, Y Gao arXiv preprint arXiv:2212.05502, 2022 | 4 | 2022 |
Real-Time Trajectory Synthesis with Local Differential Privacy Y Hu, Y Du, Z Zhang, Z Fang, L Chen, K Zheng, Y Gao arXiv preprint arXiv:2404.11450, 2024 | 2 | 2024 |
Deep Spatially and Temporally Aware Similarity Computation for Road Network Constrained Trajectories Z Fang, Y Du, X Zhu, L Chen, Y Gao, CS Jensen arXiv preprint arXiv:2112.09339, 2021 | 1 | 2021 |