How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks? - Gaojie Jin; Xinping Yi; Liang Zhang; Lijun Zhang 001; Sven Schewe; Xiaowei Huang 001 (NeurIPS, 2020)

Enhancing Adversarial Training with Second-Order Statistics of Weights. - Gaojie Jin; Xinping Yi; Wei Huang 035; Sven Schewe; Xiaowei Huang 001 (CVPR, 2022)

Neuronal Correlation: a Central Concept in Neural Network. - Gaojie Jin; Xinping Yi; Xiaowei Huang 001 (CoRR, 2022)

Weight Expansion: A New Perspective on Dropout and Generalization. - Gaojie Jin; Xinping Yi; Pengfei Yang 002; Lijun Zhang 001; Sven Schewe; Xiaowei Huang 001 (Trans. Mach. Learn. Res., 2022)

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

Randomized Adversarial Training via Taylor Expansion. - Gaojie Jin; Xinping Yi; Dengyu Wu; Ronghui Mu; Xiaowei Huang 001 (CVPR, 2023)

SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. - Wei Huang 035; Xingyu Zhao 001; Gaojie Jin; Xiaowei Huang 001 (ICCV, 2023)

TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models. - Liang Zhang; Nathaniel Xu; Pengfei Yang 002; Gaojie Jin; Cheng-Chao Huang; Lijun Zhang 001 (ICCV, 2023)

Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff. - Dengyu Wu; Gaojie Jin; Han Yu 010; Xinping Yi; Xiaowei Huang 001 (CoRR, 2023)

Machine Learning Safety - Xiaowei Huang 001; Gaojie Jin; Wenjie Ruan (Springer, 2023)

Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors. - Tao Lin; Lijia Yu; Gaojie Jin; Renjue Li; Peng Wu; Lijun Zhang 001 (ECCV (66), 2024)

Position: Building Guardrails for Large Language Models Requires Systematic Design. - Yi Dong 002; Ronghui Mu; Gaojie Jin; Yi Qi; Jinwei Hu; Xingyu Zhao 001; Jie Meng; Wenjie Ruan; Xiaowei Huang 001 (ICML, 2024)

Class-Aware Cross Pseudo Supervision Framework for Semi-Supervised Multi-organ Segmentation in Abdominal CT Scans. - Deqian Yang; Haochen Zhao; Gaojie Jin; Hui Meng; Lijun Zhang 001 (PRCV (14), 2024)

Building Guardrails for Large Language Models. - Yi Dong 002; Ronghui Mu; Gaojie Jin; Yi Qi; Jinwei Hu; Xingyu Zhao 001; Jie Meng; Wenjie Ruan; Xiaowei Huang 001 (CoRR, 2024)

Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network. - Dengyu Wu; Yi Qi; Kaiwen Cai; Gaojie Jin; Xinping Yi; Xiaowei Huang 001 (CoRR, 2024)

Safeguarding Large Language Models: A Survey. - Yi Dong 002; Ronghui Mu; Yanghao Zhang; Siqi Sun; Tianle Zhang; Changshun Wu; Gaojie Jin; Yi Qi; Jinwei Hu; Jie Meng; Saddek Bensalem; Xiaowei Huang 001 (CoRR, 2024)

Formal verification of robustness and resilience of learning-enabled state estimation systems. - Wei Huang 035; Yifan Zhou; Gaojie Jin; Youcheng Sun; Jie Meng; Fan Zhang 044; Xiaowei Huang 001 (Neurocomputing, 2024)

A survey of safety and trustworthiness of large language models through the lens of verification and validation. - Xiaowei Huang 001; Wenjie Ruan; Wei Huang 035; Gaojie Jin; Yi Dong 002; Changshun Wu; Saddek Bensalem; Ronghui Mu; Yi Qi; Xingyu Zhao 001; Kaiwen Cai; Yanghao Zhang; et al. (Artif. Intell. Rev., 2024)

SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training. - Tianjin Huang; Ziquan Zhu; Gaojie Jin; Lu Liu; Zhangyang Wang; Shiwei Liu 003 (ICLR, 2025)

Enhancing Robust Fairness via Confusional Spectral Regularization. - Gaojie Jin; Sihao Wu; Jiaxu Liu 001; Tianjin Huang; Ronghui Mu (ICLR, 2025)

Invariant Correlation of Representation With Label. - Gaojie Jin; Ronghui Mu; Xinping Yi; Xiaowei Huang 001; Lijun Zhang 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Toward Linearly Regularizing the Geometric Bottleneck of Linear Generalized Attention. - Jiaxu Liu 001; Xinping Yi; Xiangyu Yin 001; Yuhang Song; Gaojie Jin; Xiaowei Huang 001 (Trans. Mach. Learn. Res., 2025)

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing. - Sihao Wu; Xiaonan Si; Chi Xing; Jianhong Wang; Gaojie Jin; Guangliang Cheng; Lijun Zhang 001; Xiaowei Huang 001 (CoRR, 2025)

Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam. - Tianjin Huang; Haotian Hu; Zhenyu Zhang 015; Gaojie Jin; Xiang Li 001; Li Shen 008; Tianlong Chen 001; Lu Liu; Qingsong Wen; Zhangyang Wang; Shiwei Liu 003 (CoRR, 2025)

Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers. - Gaojie Jin; Tianjin Huang; Ronghui Mu; Xiaowei Huang 001 (CoRR, 2025)

ThermoRL:Structure-Aware Reinforcement Learning for Protein Mutation Design to Enhance Thermostability. - Xiangwen Wang; Gaojie Jin; Xiaowei Huang 001; Ronghui Mu (CoRR, 2025)

Shapley Uncertainty in Natural Language Generation. - Meilin Zhu; Gaojie Jin; Xiaowei Huang; Lijun Zhang (CoRR, 2025)