Weichang Wu

According to our database, Weichang Wu authored at least 17 papers between 2007 and 2024.

Collaborative distances:

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

2024

Multi-Task Decouple Learning With Hierarchical Attentive Point Process.

Weichang Wu, Xiaolu Zhang, Shiwan Zhao, Chilin Fu, Jun Zhou

IEEE Trans. Knowl. Data Eng., April, 2024

A Multiplexed 32 × 32 2D Matrix Array Transducer for Flexible Sub-Aperture Volumetric Ultrasound Imaging.

Ningyuan Wang, Yu Qiang, Chaorui Qiu, Yiliang Chen, Xingying Wang, Yue Pan, Rong Liu, Weichang Wu, Hairong Zheng, Weibao Qiu, Zhiqiang Zhang

IEEE Trans. Biomed. Eng., March, 2024

Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning.

Jun Hu, Wenwen Xia, Xiaolu Zhang, Chilin Fu, Weichang Wu, Zhaoxin Huan, Ang Li, Zuoli Tang, Jun Zhou

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Efficient Model Stealing Defense with Noise Transition Matrix.

Dong-Dong Wu, Chilin Fu, Weichang Wu, Wenwen Xia, Xiaolu Zhang, Jun Zhou, Min-Ling Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Modeling Event Propagation via Graph Biased Temporal Point Process.

Weichang Wu, Huanxi Liu, Xiaohu Zhang, Yu Liu, Hongyuan Zha

IEEE Trans. Neural Networks Learn. Syst., April, 2023

An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training.

Youshao Xiao, Weichang Wu, Zhenglei Zhou, Fagui Mao, Shangchun Zhao, Lin Ju, Lei Liang, Xiaolu Zhang, Jun Zhou

CoRR, 2023

BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency.

Jun Hu, Xu Min, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract).

Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction.

Chilin Fu, Weichang Wu, Xiaolu Zhang, Jun Hu, Jing Wang, Jun Zhou

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

2022

Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model.

Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha

IEEE Trans. Knowl. Data Eng., 2022

2021

Learning to Select Instance: Simultaneous Transfer Learning and Clustering.

Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2019

Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering.

Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha

CoRR, 2019

2018

Decoupled Learning for Factorial Marked Temporal Point Processes.

Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes.

Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha

IEEE Trans. Knowl. Data Eng., 2017

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract).

Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

ICU Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes.

Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha

CoRR, 2016

2007

Research of Information Fusion Evaluation Methodology Based on Dominance relation.

Yunxiang Liu, Weichang Wu, Jiajun Lin

Proceedings of the 8th ACIS International Conference on Software Engineering, 2007