📝 Publications

• Yangyi Li and Mengdi Huai, “Uncertainty-aware Language Guidance for Concept Bottleneck Models”, the 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2026), Hong Kong, China, June 2026.
• Wei Qian, Chenxu Zhao, Yangyi Li, and Mengdi Huai, “Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models”, the 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026), Singapore, January 2026.
• Yangyi Li and Mengdi Huai, “Quantifying Uncertainty in Natural Language Explanations for Question Answering”, Findings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025 Findings), Suzhou, China, November 2025.
• Wei Qian, Chenxu Zhao, Yangyi Li, Wenqian Ye, and Mengdi Huai, “Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten”, the 34th ACM International Conference on Information and Knowledge Management (CIKM 2025), Seoul, Korea, November 2025.
• Aobo Chen*, Yangyi Li*, Chenxu Zhao, and Mengdi Huai (*Equal Contribution), “A Survey of Security and Privacy Issues of Machine Unlearning”, AI Magazine, 2025.
• Aobo Chen, Yangyi Li, Wei Qian, Kathryn Morse, Chenglin Miao, and Mengdi Huai, “Modeling and Understanding Uncertainty in Medical Image Classification”, the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024), Marrakesh, Morocco, October 2024.
• Yangyi Li, Aobo Chen, Wei Qian, Chenxu Zhao, Divya Lidder, and Mengdi Huai, “Data Poisoning Attacks against Conformal Prediction”, the 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 2024.
• Chenxu Zhao, Wei Qian, Yangyi Li, Aobo Chen, and Mengdi Huai, “Rethinking Adversarial Robustness in the Context of the Right to be Forgotten”, the 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 2024.
• Xinxin Wang, Yangyi Li, Ke Yang, Zeshui Xu, and Jian Zhang. A regionally coordinated allocation strategy for medical resources based on multidimensional uncertain information. Information Sciences, 2024.
• Wei Qian*, Chenxu Zhao*, Yangyi Li*, Fenglong Ma, Chao Zhang, and Mengdi Huai (*Equal Contribution), “Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction”, the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 2024.
• Xinxin Wang, Yangyi Li, Zeshui Xu, and Yuyan Luo. Nested information representation of multi-dimensional decision: an improved PROMETHEE method based on NPLTSs. Information Sciences, 2022.