Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. - Ruichu Cai; Yuxuan Zhu 001; Jie Qiao; Zefeng Liang; Furui Liu; Zhifeng Hao (AAAI, 2024)

Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. - Xuexin Chen; Ruichu Cai; Zhengting Huang; Yuxuan Zhu 001; Julien Horwood; Zhifeng Hao; Zijian Li 001; José Miguel Hernández-Lobato (ICML, 2024)

On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach. - Ruichu Cai; Yuxuan Zhu 001; Xuexin Chen; Yuan Fang 001; Min Wu 008; Jie Qiao; Zhifeng Hao (Neural Networks, 2025)