| SageFormer: Series-Aware Framework for Long-Term Multivariate Time Series Forecasting Z Zhang, L Meng, Y Gu IEEE Internet of Things Journal, 2024 | 33* | 2024 |
| Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting Z Zhang, X Wang, J Xie, H Zhang, Y Gu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 8* | 2023 |
| Unravel Anomalies: an End-to-End Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection Z Zhang, R Wang, R Ding, Y Gu ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 7 | 2024 |
| ST2T: A Spatio-Temporal Transformer for Cellular Traffic Prediction in Digital Twin Systems Z Zhang, L Yan, Y Gu 2023 IEEE 6th International Conference on Electronic Information and …, 2023 | 5 | 2023 |
| Toward Digital Twin: Leveraging Pre-training Approaches for Multivariate Time Series Forecasting L Yan, Z Zhang, X Wang, Y Zhang, Y Gu 2023 IEEE 6th International Conference on Electronic Information and …, 2023 | 2 | 2023 |
| See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers J Zhuang, L Yan, Z Zhang, R Wang, J Zhang, Y Gu arXiv preprint arXiv:2411.02465, 2024 | 1 | 2024 |
| ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons J Zhang, X Wen, Z Zhang, S Zheng, J Li, J Bian The Thirty-eight Conference on Neural Information Processing Systems …, 2024 | 1 | 2024 |