Tao Sun

18 papers A* 1A 2B 2Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift.
AAAI
Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Tao Sun, Yongjun Xu, Fei Wang
2025 J jnl
APT: Affine Prototype-Timestamp For Time Series Forecasting Under Distribution Shift.
CoRR
Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Tao Sun, Yongjun Xu, Fei Wang
2025 J jnl
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.
IEEE Trans. Knowl. Data Eng.
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
2025 J jnl
MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction.
Inf. Fusion
Chengqing Yu, Fei Wang, Yilun Wang, Zezhi Shao, Tao Sun, Di Yao, Yongjun Xu
2025 — conf
Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates.
KDD (2)
Chengqing Yu, Fei Wang, Chuanguang Yang, Zezhi Shao, Tao Sun, Tangwen Qian, Wei Wei, Zhulin An, Yongjun Xu
2025 J jnl
Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates.
CoRR
Chengqing Yu, Fei Wang, Chuanguang Yang, Zezhi Shao, Tao Sun, Tangwen Qian, Wei Wei, Zhulin An, Yongjun Xu
2025 J jnl
Trajectory-User Linking via Multi-Scale Graph Attention Network.
Pattern Recognit.
Yujie Li, Tao Sun, Zezhi Shao, Yiqiang Zhen, Yongjun Xu, Fei Wang
2024 J jnl
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models.
CoRR
Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Tao Sun, Fei Wang, Yongjun Xu
2023 A conf
Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting.
CIKM
Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu, Fei Wang
2023 A conf
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction.
CIKM
Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
2023 J jnl
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction.
CoRR
Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
2022 J jnl
A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification.
Sensors
Tao Sun, Yongjun Xu, Zhao Zhang, Lin Wu, Fei Wang
2022 — conf
BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark.
Bench
Yubo Liang, Zezhi Shao, Fei Wang, Zhao Zhang, Tao Sun, Yongjun Xu
2022 — conf
Human Mobility Identification by Deep Behavior Relevant Location Representation.
DASFAA (2)
Tao Sun, Fei Wang, Zhao Zhang, Lin Wu, Yongjun Xu
2020 — conf
CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies.
ICANN (2)
Tangwen Qian, Fei Wang, Yongjun Xu, Yu Jiang, Tao Sun, Yong Yu
2020 J jnl
Data Security and Privacy Challenges of Computing Offloading in FINs.
IEEE Netw.
Fei Wang, Boyu Diao, Tao Sun, Yongjun Xu
2020 B conf
TULSN: Siamese Network for Trajectory-user Linking.
IJCNN
Yong Yu, Haina Tang, Fei Wang, Lin Wu, Tangwen Qian, Tao Sun, Yongjun Xu
2020 B conf
Trajectory-User Link with Attention Recurrent Networks.
ICPR
Tao Sun, Yongjun Xu, Fei Wang, Lin Wu, Tangwen Qian, Zezhi Shao