| 2026 | AAAI | Benchmarking LLMs' Mathematical Reasoning with Unseen Random Variables Questions. | Zijin Hong, Hao Wu, Su Dong, Junnan Dong, Yilin Xiao, Yujing Zhang, Zhu Wang, Feiran Huang, Linyi Li, Hongxia Yang, Xiao Huang |
| 2026 | ACL | PR-XAI: PageRank-Based Feature Attribution for Transformers. | Behrooz Azarkhalili, Linyi Li, Maxwell W. Libbrecht |
| 2025 | AAAI | COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks. | Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li |
| 2025 | AAAI | Certified Trustworthiness in the Era of Large Language Models. | Linyi Li |
| 2025 | AAAI | Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study. | Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang |
| 2025 | ICLR | Collapsed Language Models Promote Fairness. | Jingxuan Xu, Wuyang Chen, Linyi Li, Yao Zhao, Yunchao Wei |
| 2024 | AISTATS | Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. | Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao |
| 2024 | ICLR | COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits. | Mintong Kang, Nezihe Merve Grel, Linyi Li, Bo Li |
| 2024 | ICML | Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing. | Youwei Shu, Xi Xiao, Derui Wang, Yuxin Cao, Siji Chen, Jason Xue, Linyi Li, Bo Li |
| 2023 | ICSE | Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects. | Linyi Li, Yuhao Zhang, Luyao Ren, Yingfei Xiong, Tao Xie |
| 2023 | SP | SoK: Certified Robustness for Deep Neural Networks. | Linyi Li, Tao Xie, Bo Li |
| 2022 | CoRL | Robustness Certification of Visual Perception Models via Camera Motion Smoothing. | Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao |
| 2022 | ICLR | COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. | Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li |
| 2022 | ICLR | CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. | Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li |
| 2022 | ICLR | On the Certified Robustness for Ensemble Models and Beyond. | Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li |
| 2022 | ICML | TPC: Transformation-Specific Smoothing for Point Cloud Models. | Wenda Chu, Linyi Li, Bo Li |
| 2022 | ICML | Double Sampling Randomized Smoothing. | Linyi Li, Jiawei Zhang, Tao Xie, Bo Li |
| 2022 | ICML | Certifying Out-of-Domain Generalization for Blackbox Functions. | Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang |
| 2022 | ICSE | SAPIENTML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions. | Ripon K. Saha, Akira Ura, Sonal Mahajan, Chenguang Zhu, Linyi Li, Yang Hu, Hiroaki Yoshida, Sarfraz Khurshid, Mukul R. Prasad |
| 2021 | AISTATS | Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks. | Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li |
| 2021 | CCS | TSS: Transformation-Specific Smoothing for Robustness Certification. | Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Bhavya Kailkhura, Tao Xie, Ce Zhang, Bo Li |
| 2021 | ICML | Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation. | Jiawei Zhang, Linyi Li, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li |
| 2019 | IJCAI | Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space. | Linyi Li, Zexuan Zhong, Bo Li, Tao Xie |
| 2018 | ITC | Influence-Directed Explanations for Deep Convolutional Networks. | Klas Leino, Shayak Sen, Anupam Datta, Matt Fredrikson, Linyi Li |
| 2017 | COMPSAC | A Model-Based Framework for Cloud API Testing. | Junyi Wang, Xiaoying Bai, Linyi Li, Zhicheng Ji, Haoran Ma |
| 2017 | ICST | Cloud API Testing. | Junyi Wang, Xiaoying Bai, Haoran Ma, Linyi Li, Zhicheng Ji |