FR: Folded Rationalization with a Unified Encoder. - Wei Liu 144; Haozhao Wang; Jun Wang 018; Ruixuan Li 001; Chao Yue; Yuankai Zhang 002 (NeurIPS, 2022)

MGR: Multi-generator Based Rationalization. - Wei Liu 144; Haozhao Wang; Jun Wang 018; Ruixuan Li 001; Xinyang Li; Yuankai Zhang 002; Yang Qiu (ACL (1), 2023)

XFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection. - Juan Zhao 010; Yuankai Zhang 002; Ruixuan Li 001; Yuhua Li 003; Haozhao Wang; Xiaoquan Yi; Zhiying Deng (ECAI, 2023)

Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. - Wei Liu 144; Jun Wang 018; Haozhao Wang; Ruixuan Li 001; Yang Qiu; Yuankai Zhang 002; Jie Han; Yixiong Zou (KDD, 2023)

D-Separation for Causal Self-Explanation. - Wei Liu 144; Jun Wang 018; Haozhao Wang; Ruixuan Li 001; Zhiying Deng; Yuankai Zhang 002; Yang Qiu (NeurIPS, 2023)

Adversarial Attack for Explanation Robustness of Rationalization Models. - Yuankai Zhang 002; Lingxiao Kong; Haozhao Wang; Ruixuan Li 001; Jun Wang 018; Yuhua Li 003; Wei Liu 144 (ECAI, 2024)

Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. - Wei Liu 144; Haozhao Wang; Jun Wang 018; Zhiying Deng; Yuankai Zhang 002; Cheng Wang 025; Ruixuan Li 001 (ICDE, 2024)