Weichang Wu

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 17

Top Topics

Discriminative Learning

Ultrasound Imaging

Temporal Patterns

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Weichang Wu, Xiaolu Zhang, Shiwan Zhao, Chilin Fu, Jun Zhou
Multi-Task Decouple Learning With Hierarchical Attentive Point Process. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Ningyuan Wang, Yu Qiang, Chaorui Qiu, Yiliang Chen, Xingying Wang, Yue Pan, Rong Liu, Weichang Wu, Hairong Zheng, Weibao Qiu, Zhiqiang Zhang
A Multiplexed 32 × 32 2D Matrix Array Transducer for Flexible Sub-Aperture Volumetric Ultrasound Imaging. IEEE Trans. Biomed. Eng. 71 (3) (2024)
Jun Hu, Wenwen Xia, Xiaolu Zhang, Chilin Fu, Weichang Wu, Zhaoxin Huan, Ang Li, Zuoli Tang, Jun Zhou
Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning. WWW (Companion Volume) (2024)
Chilin Fu, Weichang Wu, Xiaolu Zhang, Jun Hu, Jing Wang, Jun Zhou
Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction. CIKM (2023)
Jun Hu, Xu Min, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou
BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency. ECML/PKDD (6) (2023)
Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). ICDE (2023)
Weichang Wu, Huanxi Liu, Xiaohu Zhang, Yu Liu, Hongyuan Zha
Modeling Event Propagation via Graph Biased Temporal Point Process. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Youshao Xiao, Weichang Wu, Zhenglei Zhou, Fagui Mao, Shangchun Zhao, Lin Ju, Lei Liang, Xiaolu Zhang, Jun Zhou
An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training. CoRR (2023)
Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo
Learning to Select Instance: Simultaneous Transfer Learning and Clustering. SIGIR (2021)
Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering. CoRR (2019)
Weichang Wu, Huanxi Liu, Xiaohu Zhang, Yu Liu, Hongyuan Zha
Modeling Event Propagation via Graph Biased Temporal Point Process. CoRR (2019)
Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
Decoupled Learning for Factorial Marked Temporal Point Processes. CoRR (2018)
Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
Decoupled Learning for Factorial Marked Temporal Point Processes. KDD (2018)
Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract). ICDE (2017)
Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. IEEE Trans. Knowl. Data Eng. 29 (1) (2017)
Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha
ICU Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. CoRR (2016)
Yunxiang Liu, Weichang Wu, Jiajun Lin
Research of Information Fusion Evaluation Methodology Based on Dominance relation. SNPD (1) (2007)