An Interactive XAI Interface with Application in Healthcare for Non-experts. - Jingyu Hu 002; Yizhu Liang; Weiyu Zhao; Kevin McAreavey; Weiru Liu (xAI (1), 2023)

ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups. - Jingyu Hu 002; Jun Hong 001; Mengnan Du; Weiru Liu (AEQUITAS@ECAI, 2024)

Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning. - Jingyu Hu 002; Weiru Liu; Mengnan Du (EMNLP, 2024)

Interpretable Machine Learning for Weather and Climate Prediction: A Survey. - Ruyi Yang; Jingyu Hu 002; Zihao Li; Jianli Mu; Tingzhao Yu; Jiangjiang Xia; Xuhong Li 002; Aritra Dasgupta 001; Haoyi Xiong (CoRR, 2024)

Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability. - Dong Shu; Haiyan Zhao 003; Jingyu Hu 002; Weiru Liu; Lu Cheng; Mengnan Du (CoRR, 2025)

Beyond Prior Limits: Addressing Distribution Misalignment in Particle Filtering. - Yiwei Shi; Jingyu Hu 002; Yu Zhang; Mengyue Yang; Weinan Zhang 001; Cunjia Liu; Weiru Liu (CoRR, 2025)

Fine-Grained Interpretation of Political Opinions in Large Language Models. - Jingyu Hu 002; Mengyue Yang; Mengnan Du; Weiru Liu (CoRR, 2025)

Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning. - Jingyu Hu 002; Hongbo Bo; Jun Hong 001; Xiaowei Liu; Weiru Liu (CoRR, 2025)