Weichang Wu

Decoupled Learning for Factorial Marked Temporal Point Processes

Hongyuan Zha, Junchi Yan, Xiaokang Yang, 2018, KDD.

Research of Information Fusion Evaluation Methodology Based on Dominance Relation

Yunxiang Liu, Jie Lin, Weichang Wu, 2007 .

Modeling Event Propagation via Graph Biased Temporal Point Process

Hongyuan Zha, Yu Liu, Huanxi Liu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

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

Hongyuan Zha, Junchi Yan, Xiaokang Yang, 2019, ArXiv.

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes

Shamim Nemati, Hongyuan Zha, Hongteng Xu, 2016, IEEE Transactions on Knowledge and Data Engineering.

Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model

Hongyuan Zha, Junchi Yan, Xiaokang Yang, 2020 .

Research of Information Fusion Evaluation Methodology Based on Dominance Relation

Yunxiang Liu, Jiajun Lin, Weichang Wu, 2007, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007).

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

Shamim Nemati, Hongyuan Zha, Hongteng Xu, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

Learning to Select Instance: Simultaneous Transfer Learning and Clustering

Zhaoxin Huan, Chilin Fu, Weichang Wu, 2021, SIGIR.