| 2026 | AAAI | Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models. | Wei Qian, Chenxu Zhao, Yangyi Li, Mengdi Huai |
| 2026 | ACL | Quantifying and Understanding Uncertainty in Large Reasoning Models. | Yangyi Li, Chenxu Zhao, Mengdi Huai |
| 2026 | DATE | Exploiting Variable-Dimensional LDPC Coding to Improve NAND Flash Memory System Performance. | Meng Zhang, Wei Li, Yangyi Li, Tianwei Gui, Changsheng Xie, Fei Wu |
| 2026 | PAKDD | Uncertainty-Aware Language Guidance for Concept Bottleneck Models. | Yangyi Li, Mengdi Huai |
| 2025 | CIKM | Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten. | Wei Qian, Chenxu Zhao, Yangyi Li, Wenqian Ye, Mengdi Huai |
| 2025 | EMNLP | Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering. | Yangyi Li, Mengdi Huai |
| 2024 | AAAI | Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction. | Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai |
| 2024 | ICML | Data Poisoning Attacks against Conformal Prediction. | Yangyi Li, Aobo Chen, Wei Qian, Chenxu Zhao, Divya Lidder, Mengdi Huai |
| 2024 | ICML | Rethinking Adversarial Robustness in the Context of the Right to be Forgotten. | Chenxu Zhao, Wei Qian, Yangyi Li, Aobo Chen, Mengdi Huai |
| 2024 | MICCAI | Modeling and Understanding Uncertainty in Medical Image Classification. | Aobo Chen, Yangyi Li, Wei Qian, Kathy Morse, Chenglin Miao, Mengdi Huai |