| Spatiotemporal adaptive gated graph convolution network for urban traffic flow forecasting B Lu, X Gan, H Jin, L Fu, H Zhang Proceedings of the 29th ACM International conference on information …, 2020 | 89 | 2020 |
| Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer B Lu, X Gan, W Zhang, H Yao, L Fu, X Wang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 27 | 2022 |
| Make more connections: Urban traffic flow forecasting with spatiotemporal adaptive gated graph convolution network B Lu, X Gan, H Jin, L Fu, X Wang, H Zhang ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-25, 2022 | 21 | 2022 |
| Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation B Lu, X Gan, L Yang, W Zhang, L Fu, X Wang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 14 | 2022 |
| Graph out-of-distribution generalization with controllable data augmentation B Lu, X Gan, Z Zhao, S Liang, L Fu, X Wang, C Zhou arXiv preprint arXiv:2308.08344, 2023 | 3 | 2023 |
| DataExpo: A One-Stop Dataset Service for Open Science Research B Lu, L Wu, L Yang, C Sun, W Liu, X Gan, S Liang, L Fu, X Wang, C Zhou Companion Proceedings of the ACM Web Conference 2023, 32-36, 2023 | 3 | 2023 |
| Temporal Generalization Estimation in Evolving Graphs B Lu, T Ma, X Gan, X Wang, Y Zhu, C Zhou, S Liang The Twelfth International Conference on Learning Representations (ICLR), 2024 | 1 | 2024 |
| Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning B Lu, Z Zhao, L Han, X Gan, Y Zhou, L Zhou, L Fu, X Wang, J Zhang, ... EGU24, 2024 | | 2024 |
| AceMap: Knowledge Discovery through Academic Graph X Wang, L Fu, X Gan, Y Wen, G Zheng, J Ding, L Xiang, N Ye, M Jin, ... arXiv preprint arXiv:2403.02576, 2024 | | 2024 |
| Graph Open-Set Recognition via Entropy Message Passing L Yang, B Lu, X Gan 2023 IEEE International Conference on Data Mining (ICDM), 1469-1474, 2023 | | 2023 |
| Evolving Graph Generalization Estimation via Self-Supervised Learning B Lu, T Ma, X Gan, L Fu, X Wang, C Zhou, S Liang NeurIPS 2023 Workshop: Self-Supervised Learning - Theory and Practice, 2023 | | 2023 |
Xiaoying Gan (甘小莺)Associate Professor of Electronic Engineering, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
