Tangwen Qian

18 papers A* 3A 1B 2Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Model-Agnostic Hierarchical Framework Towards Trajectory Prediction.
J. Comput. Sci. Technol.
Tangwen Qian, Yuan Wang, Yong-Jun Xu, Zhao Zhang, Lin Wu, Qiang Qiu, Fei Wang
2025 — conf
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models.
KDD (2)
Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng
2025 J jnl
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models.
CoRR
Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng
2025 J jnl
GinAR+: A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values.
IEEE Trans. Knowl. Data Eng.
Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Zhulin An, Qi Wang, 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 A conf
STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach.
CIKM
Yujie Li, Zezhi Shao, Chengqing Yu, Tangwen Qian, Zhao Zhang, Yifan Du, Shaoming He, Fei Wang, Yongjun Xu
2025 J jnl
STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach.
CoRR
Yujie Li, Zezhi Shao, Chengqing Yu, Tangwen Qian, Zhao Zhang, Yifan Du, Shaoming He, Fei Wang, Yongjun Xu
2024 A* conf
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction.
ICDE
Tangwen Qian, Yile Chen, Gao Cong, 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
2024 A* conf
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing.
KDD
Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
2024 J jnl
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing.
CoRR
Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
2023 J jnl
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction.
CoRR
Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
2022 A* conf
Trajectory Prediction from Hierarchical Perspective.
ACM Multimedia
Tangwen Qian, Yongjun Xu, Zhao Zhang, Fei Wang
2021 — conf
Towards Compressing Efficient Generative Adversarial Networks for Image Translation via Pruning and Distilling.
ICANN (2)
Luqi Gong, Chao Li, Hailong Hong, Hui Zhu, Tangwen Qian, 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 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