| 2025 | ICML | Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations. | Zhengming Chen, Yewei Xia, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai, Kun Zhang |
| 2025 | IJCNN | Mitigating Q-Value Overestimation through Latent Causal Modeling in Deep Reinforcement Learning. | Ruichu Cai, Fuyi Lin, Wei Chen, Jie Qiao, Haipeng Zhu, Zhifeng Hao |
| 2024 | AAAI | Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. | Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao |
| 2024 | AAAI | 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 |
| 2024 | AAAI | Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. | Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao |
| 2024 | AAAI | Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. | Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao |
| 2024 | ICML | Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. | Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao |
| 2023 | IJCAI | Some General Identification Results for Linear Latent Hierarchical Causal Structure. | Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai |
| 2023 | IJCAI | Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. | Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao |
| 2022 | AAAI | Identification of Linear Latent Variable Model with Arbitrary Distribution. | Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai |
| 2022 | ICASSP | 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 |
| 2019 | IJCAI | Learning Disentangled Semantic Representation for Domain Adaptation. | Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao |
| 2019 | IJCAI | Causal Discovery with Cascade Nonlinear Additive Noise Model. | Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao |
| 2019 | MICCAI | DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. | Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Jie Qiao, Yi Zhao |
| 2018 | AAAI | SELF: Structural Equational Likelihood Framework for Causal Discovery. | Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao |