| 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 36, 76656-76679, 2023 | 151 | 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 36, 69638-69660, 2023 | 111 | 2023 |
| 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, F Wei, X Hui arXiv preprint arXiv:2302.02173, 2023 | 50* | 2023 |
| CATN: Cross attentive tree-aware network for multivariate time series forecasting H He, Q Zhang, S Bai, K Yi, Z Niu Proceedings of the AAAI conference on artificial intelligence 36 (4), 4030-4038, 2022 | 39 | 2022 |
| Frequency spectrum is more effective for multimodal representation and fusion: A multimodal spectrum rumor detector A Lao, Q Zhang, C Shi, L Cao, K Yi, L Hu, D Miao Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18426 …, 2024 | 17 | 2024 |
| Learning informative representation for fairness-aware multivariate time-series forecasting: A group-based perspective H He, Q Zhang, S Wang, K Yi, Z Niu, L Cao IEEE Transactions on Knowledge and Data Engineering 36 (6), 2504-2516, 2023 | 13 | 2023 |
| Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting W Fan, K Yi, H Ye, Z Ning, Q Zhang, N An IJCAI 2024, 2024 | 9 | 2024 |
| Distributional drift adaptation with temporal conditional variational autoencoder for multivariate time series forecasting H He, Q Zhang, K Yi, K Shi, Z Niu, L Cao IEEE Transactions on Neural Networks and Learning Systems, 2024 | 7 | 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 & Data …, 2025 | 6* | 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 | 6 | 2023 |
| 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 37, 55115-55140, 2025 | 5 | 2025 |
| Deep coupling network for multivariate time series forecasting K Yi, Q Zhang, H He, K Shi, L Hu, N An, Z Niu ACM Transactions on Information Systems 42 (5), 1-28, 2024 | 5 | 2024 |
| HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis Z Wu, Q Zhang, D Miao, K Yi, W Fan, L Hu IJCAI 2024, 2024 | 5 | 2024 |
| MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization Y Zhang, Q Zhang, Z Gong, Y Shi, Y Liu, D Miao, Y Liu, K Liu, K Yi, W Fan, ... ICML 2024, 2024 | 3 | 2024 |
| Wills Aligner: A Robust Multi-Subject Brain Representation Learner G Bao, Z Gong, Q Zhang, J Zhou, W Fan, K Yi, U Naseem, L Hu, D Miao AAAI 2025, 2024 | 2 | 2024 |
| Reconstructing missing variables for multivariate time series forecasting via conditional generative flows X Hu, W Fan, H Chen, P Wang, Y Fu Proceedings of the 33rd International Joint Conference on Artificial …, 2024 | 1 | 2024 |
| MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification W Fan, J Fei, D Guo, K Yi, X Song, H Xiang, H Ye, M Li WWW 2025, 2025 | | 2025 |
| Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting J Fei, K Yi, W Fan, Q Zhang, Z Niu AAAI 2025, 2025 | | 2025 |
| Robust Multivariate Time Series Forecasting against Intra-and Inter-Series Transitional Shift H He, Q Zhang, K Yi, X Xue, S Wang, L Hu, L Cao arXiv preprint arXiv:2407.13194, 2024 | | 2024 |
| Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding G Bao, Q Zhang, Z Gong, J Zhou, W Fan, K Yi, U Naseem, L Hu, D Miao arXiv preprint arXiv:2404.13282, 2024 | | 2024 |
Hui HeBeijing Institute of Technologyایمیل تأیید شده در bit.edu.cn