| 2026 | AAAI | APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift. | Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Tao Sun, Yongjun Xu, Fei Wang |
| 2025 | CIKM | STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach. | Yujie Li, Zezhi Shao, Chengqing Yu, Tangwen Qian, Zhao Zhang, Yifan Du, Shaoming He, Fei Wang, Yongjun Xu |
| 2025 | KDD | Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective. | Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng |
| 2025 | KDD | BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models. | Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng |
| 2025 | KDD | Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates. | Chengqing Yu, Fei Wang, Chuanguang Yang, Zezhi Shao, Tao Sun, Tangwen Qian, Wei Wei, Zhulin An, Yongjun Xu |
| 2024 | ICASSP | Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. | Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang |
| 2024 | KDD | GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. | Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu |
| 2023 | CIKM | Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting. | Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu, Fei Wang |
| 2023 | CIKM | DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. | Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu |
| 2022 | CIKM | Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. | Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu |
| 2022 | KDD | Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. | Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu |
| 2020 | ICPR | Trajectory-User Link with Attention Recurrent Networks. | Tao Sun, Yongjun Xu, Fei Wang, Lin Wu, Tangwen Qian, Zezhi Shao |