| Frequency-domain MLPs are More Effective Learners in Time Series Forecasting K Yi, Q Zhang, W Fan, S Wang, P Wang, H He, D Lian, N An, L Cao, Z Niu Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023 | 66 | 2023 |
| DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting W Fan, S Zheng, X Yi, W Cao, Y Fu, J Bian, TY Liu International Conference on Learning Representations (ICLR), 2022 | 50 | 2022 |
| AutoFS: Automated feature selection via diversity-aware interactive reinforcement learning W Fan, K Liu, H Liu, P Wang, Y Ge, Y Fu 2020 IEEE International Conference on Data Mining (ICDM), 1008-1013, 2020 | 46 | 2020 |
| FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective K Yi, Q Zhang, W Fan, H He, L Hu, P Wang, N An, L Cao, Z Niu Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023 | 42 | 2023 |
| Dish-TS: a general paradigm for alleviating distribution shift in time series forecasting W Fan, P Wang, D Wang, D Wang, Y Zhou, Y Fu Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 37 (6 …, 2023 | 37 | 2023 |
| Interactive reinforcement learning for feature selection with decision tree in the loop W Fan, K Liu, H Liu, Y Ge, H Xiong, Y Fu IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 | 34 | 2021 |
| A Survey on Deep Learning based Time Series Analysis with Frequency Transformation K Yi, Q Zhang, L Cao, S Wang, G Long, L Hu, H He, Z Niu, W Fan, ... arXiv preprint arXiv:2302.02173, 2023 | 28* | 2023 |
| Simplifying reinforced feature selection via restructured choice strategy of single agent X Zhao, K Liu, W Fan, L Jiang, X Zhao, M Yin, Y Fu 2020 IEEE International conference on data mining (ICDM), 871-880, 2020 | 22 | 2020 |
| Fair graph auto-encoder for unbiased graph representations with wasserstein distance W Fan, K Liu, R Xie, H Liu, H Xiong, Y Fu 2021 IEEE International Conference on Data Mining (ICDM), 1054-1059, 2021 | 20 | 2021 |
| AutoGFS: Automated group-based feature selection via interactive reinforcement learning W Fan, K Liu, H Liu, A Hariri, D Dou, Y Fu Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 11 | 2021 |
| TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction Y Li, W Fan, C Liu, C Lin, J Qian Proceedings of the Conference on Empirical Methods in Natural Language …, 2022 | 10 | 2022 |
| Graph soft-contrastive learning via neighborhood ranking Z Ning, P Wang, P Wang, Z Qiao, W Fan, D Zhang, Y Du, Y Zhou arXiv preprint arXiv:2209.13964, 2022 | 9 | 2022 |
| PTaRL: Prototype-based Tabular Representation Learning via Space Calibration H Ye, W Fan, X Song, S Zheng, H Zhao, D dan Guo, Y Chang International Conference on Learning Representations (ICLR), 2024 | 7 | 2024 |
| Multi-graph convolutional recurrent network for fine-grained lane-level traffic flow imputation J Ming, L Zhang, W Fan, W Zhang, Y Mei, W Ling, H Xiong 2022 IEEE International Conference on Data Mining (ICDM), 348-357, 2022 | 6 | 2022 |
| Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift X Hu, W Fan, K Yi, P Wang, Y Xu, Y Fu, P Wang 2023 IEEE International Conference on Data Mining (ICDM), 160-169, 2023 | 4 | 2023 |
| DEWP: Deep Expansion Learning for Wind Power Forecasting W Fan, Y Fu, S Zheng, J Bian, Y Zhou, H Xiong ACM Transactions on Knowledge Discovery from Data (TKDD), 2024 | 3 | 2024 |
| FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization Z Ning, C Tian, M Xiao, W Fan, P Wang, L Li, P Wang, Y Zhou International Joint Conference on Artificial Intelligence (IJCAI), 2024 | 2 | 2024 |
| Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows W Fan, S Zheng, P Wang, R Xie, J Bian, Y Fu arXiv preprint arXiv:2401.16777, 2024 | 2 | 2024 |
| Dual-stage Flows-based Generative Modeling for Traceable Urban Planning X Hu, W Fan, D Wang, P Wang, Y Li, Y Fu Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | 2 | 2024 |
| Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting W Fan, K Yi, H Ye, Z Ning, Q Zhang, N An International Joint Conference on Artificial Intelligence (IJCAI), 2024 | 1 | 2024 |
