Jin, Gaojie

16 publications

ICLR 2026 Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis Ziquan Zhu, Hanruo Zhu, Si-Yuan Lu, Xiang Li, Yanda Meng, Yunxiao Zhang, Gaojie Jin, Lu Yin, Lijie Hu, Di Wang, Lu Liu, Tianjin Huang

ACML 2025 Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Model Sihao Wu, Gaojie Jin, Wei Huang, Jianhong Wang, Xiaowei Huang

ICLR 2025 Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu

ICLR 2025 SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu

ICLRW 2025 Spam: Spike-Aware Adam with Momentum Reset for Stable LLM Training Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu

ICLRW 2025 Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam Tianjin Huang, Haotian Hu, Zhenyu Zhang, Gaojie Jin, Xiang Li, Li Shen, Tianlong Chen, Lu Liu, Qingsong Wen, Zhangyang Wang, Shiwei Liu

TMLR 2025 Toward Linearly Regularizing the Geometric Bottleneck of Linear Generalized Attention Jiaxu Liu, Xinping Yi, Xiangyu Yin, Yuhang Song, Gaojie Jin, Xiaowei Huang

ECCV 2024 Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors Tao Lin, Lijia Yu, Gaojie Jin, Renjue Li, Peng Wu, Lijun Zhang

ICML 2024 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

AAAI 2023 Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni

CVPR 2023 Randomized Adversarial Training via Taylor Expansion Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang

ICCV 2023 SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang

ICCV 2023 TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models Liang Zhang, Nathaniel Xu, Pengfei Yang, Gaojie Jin, Cheng-Chao Huang, Lijun Zhang

CVPR 2022 Enhancing Adversarial Training with Second-Order Statistics of Weights Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang

TMLR 2022 Weight Expansion: A New Perspective on Dropout and Generalization Gaojie Jin, Xinping Yi, Pengfei Yang, Lijun Zhang, Sven Schewe, Xiaowei Huang

NeurIPS 2020 How Does Weight Correlation Affect Generalisation Ability of Deep Neural Networks? Gaojie Jin, Xinping Yi, Liang Zhang, Lijun Zhang, Sven Schewe, Xiaowei Huang