Wei Chen

According to our database, Wei Chen authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

2024

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences.

Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants.

Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning dynamic causal mechanisms from non-stationary data.

Ruichu Cai, Liting Huang, Wei Chen, Jie Qiao, Zhifeng Hao

Appl. Intell., March, 2023

Causal-learn: Causal Discovery in Python.

Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang

CoRR, 2023

Latent Causal Dynamics Model for Model-Based Reinforcement Learning.

Zhifeng Hao, Haipeng Zhu, Wei Chen, Ruichu Cai

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Causal Discovery with Latent Confounders Based on Higher-Order Cumulants.

Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Causal Discovery in Linear Non-Gaussian Acyclic Model With Multiple Latent Confounders.

Wei Chen, Ruichu Cai, Kun Zhang, Zhifeng Hao

IEEE Trans. Neural Networks Learn. Syst., 2022

A Latent Variable Augmentation Method for Image Categorization with Insufficient Training Samples.

Luyue Lin, Xin Zheng, Bo Liu, Wei Chen, Yanshan Xiao

ACM Trans. Knowl. Discov. Data, 2022

Learning granger causality for non-stationary Hawkes processes.

Wei Chen, Jibin Chen, Ruichu Cai, Yuequn Liu, Zhifeng Hao

Neurocomputing, 2022

Shared state space model for background information extraction and time series prediction.

Ruichu Cai, Zhaolong Lin, Wei Chen, Zhifeng Hao

Neurocomputing, 2022

Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance.

Zijian Li, Ruichu Cai, Jiawei Chen, Yuguan Yan, Wei Chen, Keli Zhang, Junjian Ye

CoRR, 2022

REST: Debiased Social Recommendation via Reconstructing Exposure Strategies.

Ruichu Cai, Fengzhu Wu, Zijian Li, Jie Qiao, Wei Chen, Yuexing Hao, Hao Gu

CoRR, 2022

Causal Alignment Based Fault Root Causes Localization for Wireless Network.

Yuequn Liu, Wenhui Zhu, Jie Qiao, Zhiyi Huang, Yu Xiang, Xuanzhi Chen, Wei Chen, Ruichu Cai

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

CCSL: A Causal Structure Learning Method from Multiple Unknown Environments.

Wei Chen, Yunjin Wu, Ruichu Cai, Yueguo Chen, Zhifeng Hao

CoRR, 2021

FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders.

Wei Chen, Kun Zhang, Ruichu Cai, Biwei Huang, Joseph D. Ramsey, Zhifeng Hao, Clark Glymour

CoRR, 2021

Time Series Domain Adaptation via Sparse Associative Structure Alignment.

Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Mining hidden non-redundant causal relationships in online social networks.

Wei Chen, Ruichu Cai, Zhifeng Hao, Chang Yuan, Feng Xie

Neural Comput. Appl., 2020

2017

An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data.

Ruichu Cai, Feng Xie, Wei Chen, Zhifeng Hao

Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017