| 2026 | AAAI | BadThink: Triggered Overthinking Attacks on Chain-of-Thought Reasoning in Large Language Models. | Shuaitong Liu, Renjue Li, Lijia Yu, Lijun Zhang, Zhiming Liu, Gaojie Jin |
| 2026 | AAAI | CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing. | Zixia Wang, Gaojie Jin, Jia Hu, Ronghui Mu |
| 2026 | ISIT | A Unified Framework for PAC-Bayesian Norm-based Generalization Bounds. | Xinping Yi, Gaojie Jin, Xiaowei Huang, Shi Jin |
| 2025 | ICLR | SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training. | Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu |
| 2025 | ICLR | Enhancing Robust Fairness via Confusional Spectral Regularization. | Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu |
| 2024 | ECCV | Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors. | Tao Lin, Lijia Yu, Gaojie Jin, Renjue Li, Peng Wu, Lijun Zhang |
| 2024 | ICML | Position: Building Guardrails for Large Language Models Requires Systematic Design. | Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang |
| 2023 | AAAI | Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. | Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni |
| 2023 | CVPR | Randomized Adversarial Training via Taylor Expansion. | Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang |
| 2023 | ICCV | SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. | Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang |
| 2023 | ICCV | TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models. | Liang Zhang, Nathaniel Xu, Pengfei Yang, Gaojie Jin, Cheng-Chao Huang, Lijun Zhang |
| 2022 | CVPR | Enhancing Adversarial Training with Second-Order Statistics of Weights. | Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang |