Tao Sun

According to our database, Tao Sun authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.

Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng

IEEE Trans. Knowl. Data Eng., January, 2025

Trajectory-User Linking via Multi-Scale Graph Attention Network.

Yujie Li, Tao Sun, Zezhi Shao, Yiqiang Zhen, Yongjun Xu, Fei Wang

Pattern Recognit., 2025

MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction.

Chengqing Yu, Fei Wang, Yilun Wang, Zezhi Shao, Tao Sun, Di Yao, Yongjun Xu

Inf. Fusion, 2025

SMARTraj²: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning.

Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Zezhi Shao, Jun Zhang, Tao Sun, Fei Wang, Yongjun Xu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models.

Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Tao Sun, Fei Wang, Yongjun Xu

CoRR, 2024

2023

DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction.

Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification.

Tao Sun, Yongjun Xu, Zhao Zhang, Lin Wu, Fei Wang

Sensors, 2022

Human Mobility Identification by Deep Behavior Relevant Location Representation.

Tao Sun, Fei Wang, Zhao Zhang, Lin Wu, Yongjun Xu

Proceedings of the Database Systems for Advanced Applications, 2022

BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark.

Yubo Liang, Zezhi Shao, Fei Wang, Zhao Zhang, Tao Sun, Yongjun Xu

Proceedings of the Benchmarking, Measuring, and Optimizing, 2022

2020

Data Security and Privacy Challenges of Computing Offloading in FINs.

Fei Wang, Boyu Diao, Tao Sun, Yongjun Xu

IEEE Netw., 2020

TULSN: Siamese Network for Trajectory-user Linking.

Yong Yu, Haina Tang, Fei Wang, Lin Wu, Tangwen Qian, Tao Sun, Yongjun Xu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Trajectory-User Link with Attention Recurrent Networks.

Tao Sun, Yongjun Xu, Fei Wang, Lin Wu, Tangwen Qian, Zezhi Shao

Proceedings of the 25th International Conference on Pattern Recognition, 2020

CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies.

Tangwen Qian, Fei Wang, Yongjun Xu, Yu Jiang, Tao Sun, Yong Yu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020