| Frequency-domain mlps are more effective learners in time series forecasting K Yi, Q Zhang, W Fan, S Wang, P Wang, H He, N An, D Lian, L Cao, Z Niu Advances in Neural Information Processing Systems (NeurIPS) 36, 76656-76679, 2023 | 243 | 2023 |
| 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 Advances in neural information processing systems (NeurIPS) 36, 69638-69660, 2023 | 167 | 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 37 (6), 7522-7529, 2023 | 101 | 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 | 83 | 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 | 60 | 2020 |
| A Survey on Deep Learning based Time Series Analysis with Frequency Transformation K Yi, Q Zhang, W Fan, L Cao, S Wang, G Long, L Hu, H He, Q Wen, ... Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and …, 2025 | 56* | 2025 |
| 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 35 (2), 1624-1636, 2021 | 48 | 2021 |
| 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 | 29 | 2020 |
| 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 | 28 | 2024 |
| 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 | 25 | 2021 |
| 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 | 23 | 2022 |
| Filternet: Harnessing frequency filters for time series forecasting K Yi, J Fei, Q Zhang, H He, S Hao, D Lian, W Fan Advances in Neural Information Processing Systems (NeurIPS) 37, 55115-55140, 2024 | 20 | 2024 |
| 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 | 18 | 2021 |
| 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 | 14 | 2024 |
| 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 | 13 | 2022 |
| 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 | 11 | 2022 |
| 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 | 10 | 2024 |
| IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting W Fan, S Zheng, P Wang, R Xie, K Yi, Q Zhang, J Bian, Y Fu Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and …, 2025 | 8* | 2025 |
| DPFunc: accurately predicting protein function via deep learning with domain-guided structure information W Wang, Y Shuai, M Zeng, W Fan, M Li Nature Communications 16 (1), 70, 2025 | 8 | 2025 |
| 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 | 7 | 2023 |