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2020 – today
- 2024
[j5]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): 831-840 (2024)- [j4]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): 1741-1757 (2024) - [c9]Dong-Dong Wu, Chilin Fu, Weichang Wu, Wenwen Xia, Xiaolu Zhang, Jun Zhou, Min-Ling Zhang:
Efficient Model Stealing Defense with Noise Transition Matrix. CVPR 2024: 24305-24315 - [c8]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: 103-111 - 2023
- [j3]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): 1681-1691 (2023) - [c7]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: 4567-4573 - [c6]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). ICDE 2023: 3763-3764 - [c5]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: 259-274 - [i5]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 abs/2312.11819 (2023) - 2022
- [j2]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): 573-586 (2022) - 2021
- [c4]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: 1950-1954
2010 – 2019
- 2019
- [i4]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering. CoRR abs/1905.12345 (2019) - [i3]Weichang Wu, Huanxi Liu, Xiaohu Zhang, Yu Liu, Hongyuan Zha:
Modeling Event Propagation via Graph Biased Temporal Point Process. CoRR abs/1908.01623 (2019) - 2018
- [c3]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Decoupled Learning for Factorial Marked Temporal Point Processes. KDD 2018: 2516-2525 - [i2]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Decoupled Learning for Factorial Marked Temporal Point Processes. CoRR abs/1801.06805 (2018) - 2017
- [j1]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): 157-171 (2017) - [c2]Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha:
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract). ICDE 2017: 37-38 - 2016
- [i1]Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha:
ICU Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. CoRR abs/1602.05112 (2016)
2000 – 2009
- 2007
- [c1]Yunxiang Liu, Weichang Wu, Jiajun Lin:
Research of Information Fusion Evaluation Methodology Based on Dominance relation. SNPD (1) 2007: 788-793
Coauthor Index
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