Wei Chen - RankMe

39 papers A* 6B 2Misc 1Journal 27Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An identifiable cost-aware causal decision-making framework using counterfactual reasoning. Neural Networks Ruichu Cai, Xi Chen, Jie Qiao, Zijian Li, Yuequn Liu, Wei Chen, Keli Zhang, Jiale Zheng
2026	—	`conf`	CausalAgent: A Conversational Multi-Agent System for End-to-End Causal Inference. IUI Companion Jiawei Zhu, Wei Chen, Ruichu Cai
2026	J	`jnl`	Higher Order Cumulants-Based Method for Direct and Efficient Causal Discovery. IEEE Trans. Neural Networks Learn. Syst. Wei Chen, Linjun Peng, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang
2026	A*	`conf`	Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants. AAAI Wei Chen, Wanyang Gu, Linjun Peng, Ting Yan, Ruichu Cai, Zhifeng Hao, Kun Zhang
2026	J	`jnl`	Vc-flow: causal direction identification with latent variables. Int. J. Mach. Learn. Cybern. Ruichu Cai, Yaqi Dai, Peilin Zhan, Wei Chen, Zhifeng Hao
2025	J	`jnl`	An Identifiable Cost-Aware Causal Decision-Making Framework Using Counterfactual Reasoning. CoRR Ruichu Cai, Xi Chen, Jie Qiao, Zijian Li, Yuequn Liu, Wei Chen, Keli Zhang, Jiale Zheng
2025	J	`jnl`	Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption. CoRR Wei Chen, Ruichu Cai, Jie Qiao, Yuguang Yan, José Miguel Hernández-Lobato
2025	J	`jnl`	Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting. CoRR Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao, Keli Zhang, Junjian Ye, Ruichu Cai
2025	J	`jnl`	Identification of Causal Direction under an Arbitrary Number of Latent Confounders. CoRR Wei Chen, Linjun Peng, Zhiyi Huang, Haoyue Dai, Zhifeng Hao, Ruichu Cai, Kun Zhang
2025	B	`conf`	Mitigating Q-Value Overestimation through Latent Causal Modeling in Deep Reinforcement Learning. IJCNN Ruichu Cai, Fuyi Lin, Wei Chen, Jie Qiao, Haipeng Zhu, Zhifeng Hao
2025	J	`jnl`	Temporal Latent Variable Structural Causal Model for Causal Discovery under External Interferences. CoRR Ruichu Cai, Xiaokai Huang, Wei Chen, Zijian Li, Zhifeng Hao
2025	J	`jnl`	Temporal latent variable structural causal model for causal discovery under external interferences. Neurocomputing Ruichu Cai, Xiaokai Huang, Wei Chen, Zijian Li, Zhifeng Hao
2024	J	`jnl`	Causal-learn: Causal Discovery in Python. J. Mach. Learn. Res. Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang
2024	J	`jnl`	Counterfactual contextual bandit for recommendation under delayed feedback. Neural Comput. Appl. Ruichu Cai, Ruming Lu, Wei Chen, Zhifeng Hao
2024	—	`conf`	Expensive Constrained Multi-objective Evolutionary Algorithm with Pareto Set Learning. GECCO Companion Ruitao Mai, Yifeng Qiu, Wenji Li, Zhaojun Wang, Biao Xu, Wei Chen, Jiafan Zhuang, Yun Li, Zhun Fan
2024	A*	`conf`	Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. AAAI Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang
2024	A*	`conf`	Individual Causal Structure Learning from Population Data. IJCAI Wei Chen, Xiaokai Huang, Zijian Li, Ruichu Cai, Zhiyi Huang, Zhifeng Hao
2024	A*	`conf`	TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. AAAI Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao
2024	J	`jnl`	Time-series domain adaptation via sparse associative structure alignment: Learning invariance and variance. Neural Networks Zijian Li, Ruichu Cai, Jiawei Chen, Yuguang Yan, Wei Chen, Keli Zhang, Junjian Ye
2023	A*	`conf`	Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. ICML Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang
2023	J	`jnl`	Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. CoRR Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang
2023	J	`jnl`	Causal-learn: Causal Discovery in Python. CoRR Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang
2023	J	`jnl`	Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. CoRR Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang
2023	—	`conf`	Latent Causal Dynamics Model for Model-Based Reinforcement Learning. ICONIP (2) Zhifeng Hao, Haipeng Zhu, Wei Chen, Ruichu Cai
2023	J	`jnl`	Learning dynamic causal mechanisms from non-stationary data. Appl. Intell. Ruichu Cai, Liting Huang, Wei Chen, Jie Qiao, Zhifeng Hao
2023	J	`jnl`	TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. CoRR Ruichu Cai, Yuequn Liu, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao
2022	J	`jnl`	A Latent Variable Augmentation Method for Image Categorization with Insufficient Training Samples. ACM Trans. Knowl. Discov. Data Luyue Lin, Xin Zheng, Bo Liu, Wei Chen, Yanshan Xiao
2022	Misc	`conf`	Causal Alignment Based Fault Root Causes Localization for Wireless Network. ICASSP Yuequn Liu, Wenhui Zhu, Jie Qiao, Zhiyi Huang, Yu Xiang, Xuanzhi Chen, Wei Chen, Ruichu Cai
2022	J	`jnl`	Causal Discovery in Linear Non-Gaussian Acyclic Model With Multiple Latent Confounders. IEEE Trans. Neural Networks Learn. Syst. Wei Chen, Ruichu Cai, Kun Zhang, Zhifeng Hao
2022	J	`jnl`	Learning granger causality for non-stationary Hawkes processes. Neurocomputing Wei Chen, Jibin Chen, Ruichu Cai, Yuequn Liu, Zhifeng Hao
2022	J	`jnl`	REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. CoRR Ruichu Cai, Fengzhu Wu, Zijian Li, Jie Qiao, Wei Chen, Yuexing Hao, Hao Gu
2022	J	`jnl`	Shared state space model for background information extraction and time series prediction. Neurocomputing Ruichu Cai, Zhaolong Lin, Wei Chen, Zhifeng Hao
2022	J	`jnl`	Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance. CoRR Zijian Li, Ruichu Cai, Jiawei Chen, Yuguan Yan, Wei Chen, Keli Zhang, Junjian Ye
2021	J	`jnl`	CCSL: A Causal Structure Learning Method from Multiple Unknown Environments. CoRR Wei Chen, Yunjin Wu, Ruichu Cai, Yueguo Chen, Zhifeng Hao
2021	J	`jnl`	FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders. CoRR Wei Chen, Kun Zhang, Ruichu Cai, Biwei Huang, Joseph D. Ramsey, Zhifeng Hao, Clark Glymour
2021	A*	`conf`	Time Series Domain Adaptation via Sparse Associative Structure Alignment. AAAI Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang
2020	J	`jnl`	Mining hidden non-redundant causal relationships in online social networks. Neural Comput. Appl. Wei Chen, Ruichu Cai, Zhifeng Hao, Chang Yuan, Feng Xie
2020	J	`jnl`	Time Series Domain Adaptation via Sparse Associative Structure Alignment. CoRR Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang
2017	B	`conf`	An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data. IWQoS Ruichu Cai, Feng Xie, Wei Chen, Zhifeng Hao