An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data. - Ruichu Cai; Feng Xie 002; Wei Chen 103; Zhifeng Hao (IWQoS, 2017)

Mining hidden non-redundant causal relationships in online social networks. - Wei Chen 103; Ruichu Cai; Zhifeng Hao; Chang Yuan; Feng Xie 002 (Neural Comput. Appl., 2020)

Time Series Domain Adaptation via Sparse Associative Structure Alignment. - Ruichu Cai; Jiawei Chen; Zijian Li 001; Wei Chen 103; Keli Zhang; Junjian Ye; Zhuozhang Li; Xiaoyan Yang; Zhenjie Zhang (AAAI, 2021)

FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders. - Wei Chen 103; Kun Zhang 001; Ruichu Cai; Biwei Huang; Joseph D. Ramsey; Zhifeng Hao; Clark Glymour (CoRR, 2021)

CCSL: A Causal Structure Learning Method from Multiple Unknown Environments. - Wei Chen 103; Yunjin Wu; Ruichu Cai; Yueguo Chen; Zhifeng Hao (CoRR, 2021)

Causal Alignment Based Fault Root Causes Localization for Wireless Network. - Yuequn Liu; Wenhui Zhu; Jie Qiao; Zhiyi Huang 008; Yu Xiang; Xuanzhi Chen; Wei Chen 103; Ruichu Cai (ICASSP, 2022)

REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. - Ruichu Cai; Fengzhu Wu; Zijian Li 001; Jie Qiao; Wei Chen 103; Yuexing Hao; Hao Gu (CoRR, 2022)

Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance. - Zijian Li 001; Ruichu Cai; Jiawei Chen; Yuguan Yan; Wei Chen 103; Keli Zhang; Junjian Ye (CoRR, 2022)

Shared state space model for background information extraction and time series prediction. - Ruichu Cai; Zhaolong Lin; Wei Chen 103; Zhifeng Hao (Neurocomputing, 2022)

Learning granger causality for non-stationary Hawkes processes. - Wei Chen 103; Jibin Chen; Ruichu Cai; Yuequn Liu; Zhifeng Hao (Neurocomputing, 2022)

A Latent Variable Augmentation Method for Image Categorization with Insufficient Training Samples. - Luyue Lin; Xin Zheng 001; Bo Liu 002; Wei Chen 103; Yanshan Xiao (ACM Trans. Knowl. Discov. Data, 2022)

Causal Discovery in Linear Non-Gaussian Acyclic Model With Multiple Latent Confounders. - Wei Chen 103; Ruichu Cai; Kun Zhang 001; Zhifeng Hao (IEEE Trans. Neural Networks Learn. Syst., 2022)

Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. - Ruichu Cai; Zhiyi Huang 008; Wei Chen 103; Zhifeng Hao; Kun Zhang 001 (ICML, 2023)

Latent Causal Dynamics Model for Model-Based Reinforcement Learning. - Zhifeng Hao; Haipeng Zhu; Wei Chen 103; Ruichu Cai (ICONIP (2), 2023)

Learning dynamic causal mechanisms from non-stationary data. - Ruichu Cai; Liting Huang; Wei Chen 103; Jie Qiao; Zhifeng Hao (Appl. Intell., 2023)

Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. - Wei Chen 103; Zhiyi Huang 008; Ruichu Cai; Zhifeng Hao; Kun Zhang 001 (AAAI, 2024)

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. - Yuequn Liu; Ruichu Cai; Wei Chen 103; Jie Qiao; Yuguang Yan; Zijian Li 001; Keli Zhang; Zhifeng Hao (AAAI, 2024)

Expensive Constrained Multi-objective Evolutionary Algorithm with Pareto Set Learning. - Ruitao Mai; Yifeng Qiu; Wenji Li; Zhaojun Wang; Biao Xu; Wei Chen 103; Jiafan Zhuang; Yun Li 002; Zhun Fan (GECCO Companion, 2024)

Individual Causal Structure Learning from Population Data. - Wei Chen 103; Xiaokai Huang; Zijian Li 001; Ruichu Cai; Zhiyi Huang 008; Zhifeng Hao (IJCAI, 2024)

Causal-learn: Causal Discovery in Python. - Yujia Zheng 001; Biwei Huang; Wei Chen 103; Joseph D. Ramsey; Mingming Gong; Ruichu Cai; Shohei Shimizu; Peter Spirtes; Kun Zhang 001 (J. Mach. Learn. Res., 2024)

Time-series domain adaptation via sparse associative structure alignment: Learning invariance and variance. - Zijian Li 001; Ruichu Cai; Jiawei Chen; Yuguang Yan; Wei Chen 103; Keli Zhang; Junjian Ye (Neural Networks, 2024)

Counterfactual contextual bandit for recommendation under delayed feedback. - Ruichu Cai; Ruming Lu; Wei Chen 103; Zhifeng Hao (Neural Comput. Appl., 2024)

Temporal latent variable structural causal model for causal discovery under external interferences. - Ruichu Cai; Xiaokai Huang; Wei Chen 103; Zijian Li 001; Zhifeng Hao (Neurocomputing, 2025)

Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption. - Wei Chen 103; Ruichu Cai; Jie Qiao; Yuguang Yan; José Miguel Hernández-Lobato (CoRR, 2025)

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting. - Wei Chen 103; Jiahao Zhang; Haipeng Zhu; Boyan Xu; Zhifeng Hao; Keli Zhang; Junjian Ye; Ruichu Cai (CoRR, 2025)