Gaojie Jin - RankMe

55 papers A* 11Journal 41Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	BadThink: Triggered Overthinking Attacks on Chain-of-Thought Reasoning in Large Language Models. AAAI Shuaitong Liu, Renjue Li, Lijia Yu, Lijun Zhang, Zhiming Liu, Gaojie Jin
2026	A*	`conf`	CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing. AAAI Zixia Wang, Gaojie Jin, Jia Hu, Ronghui Mu
2026	J	`jnl`	Confusion-Aware Spectral Regularizer for Long-Tailed Recognition. CoRR Ziquan Zhu, Gaojie Jin, Hanruo Zhu, Si-Yuan Lu, Yunxiao Zhang, Zeyu Fu, Ronghui Mu, Guoqiang Zhang, Zhao Sun, Xia Yuhang, Jiaxing Shang, Xiang Li, Lu Liu, Tianjin Huang
2026	J	`jnl`	Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis. CoRR Ziquan Zhu, Hanruo Zhu, Siyuan Lu, Xiang Li, Yanda Meng, Gaojie Jin, Lu Yin, Lijie Hu, Di Wang, Lu Liu, Tianjin Huang
2026	J	`jnl`	Preference alignment on diffusion models: A comprehensive survey for image generation and editing. Comput. Sci. Rev. Sihao Wu, Xiaonan Si, Chi Xing, Jianhong Wang, Gaojie Jin, Guangliang Cheng, Xiaowei Huang
2026	J	`jnl`	S2O: Enhancing Adversarial Training with Second-Order Statistics of Weights. CoRR Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang
2026	J	`jnl`	StealthMark: Harmless and Stealthy Ownership Verification for Medical Segmentation via Uncertainty-Guided Backdoors. CoRR Qinkai Yu, Chong Zhang, Gaojie Jin, Tianjin Huang, Wei Zhou, Wenhui Li, Xiaobo Jin, Bo Huang, Yitian Zhao, Guang Yang, Gregory Yoke Hong Lip, Yalin Zheng, Aline Villavicencio, Yanda Meng
2026	J	`jnl`	StealthMark: Harmless and Stealthy Ownership Verification for Medical Segmentation via Uncertainty-Guided Backdoors. IEEE Trans. Image Process. Qinkai Yu, Chong Zhang, Gaojie Jin, Tianjin Huang, Wei Zhou, Wenhui Li, Xiaobo Jin, Bo Huang, Yitian Zhao, Guang Yang, Gregory Yoke Hong Lip, Yalin Zheng, Aline Villavicencio, Yanda Meng
2026	J	`jnl`	Towards A Unified PAC-Bayesian Framework for Norm-based Generalization Bounds. CoRR Xinping Yi, Gaojie Jin, Xiaowei Huang, Shi Jin
2025	J	`jnl`	Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Models. CoRR Sihao Wu, Gaojie Jin, Wei Huang, Jianhong Wang, Xiaowei Huang
2025	J	`jnl`	BadThink: Triggered Overthinking Attacks on Chain-of-Thought Reasoning in Large Language Models. CoRR Shuaitong Liu, Renjue Li, Lijia Yu, Lijun Zhang, Zhiming Liu, Gaojie Jin
2025	J	`jnl`	CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing. CoRR Zixia Wang, Gaojie Jin, Jia Hu, Ronghui Mu
2025	A*	`conf`	Enhancing Robust Fairness via Confusional Spectral Regularization. ICLR Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu
2025	J	`jnl`	Enhancing Robust Fairness via Confusional Spectral Regularization. CoRR Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu
2025	J	`jnl`	Invariant Correlation of Representation With Label. IEEE Trans. Inf. Forensics Secur. Gaojie Jin, Ronghui Mu, Xinping Yi, Xiaowei Huang, Lijun Zhang
2025	J	`jnl`	POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization. CoRR Xinyu Li, Tianjin Huang, Ronghui Mu, Xiaowei Huang, Gaojie Jin
2025	J	`jnl`	Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing. CoRR Sihao Wu, Xiaonan Si, Chi Xing, Jianhong Wang, Gaojie Jin, Guangliang Cheng, Lijun Zhang, Xiaowei Huang
2025	J	`jnl`	Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers. CoRR Gaojie Jin, Tianjin Huang, Ronghui Mu, Xiaowei Huang
2025	J	`jnl`	Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier. CoRR Gaojie Jin, Xinping Yi, Xiaowei Huang
2025	J	`jnl`	S$^{2}$2O: Enhancing Adversarial Training With Second-Order Statistics of Weights. IEEE Trans. Pattern Anal. Mach. Intell. Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang
2025	A*	`conf`	SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training. ICLR Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu
2025	J	`jnl`	SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training. CoRR Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu
2025	J	`jnl`	Safeguarding large language models: a survey. Artif. Intell. Rev. Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang
2025	J	`jnl`	Shapley Uncertainty in Natural Language Generation. CoRR Meilin Zhu, Gaojie Jin, Xiaowei Huang, Lijun Zhang
2025	J	`jnl`	Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam. CoRR Tianjin Huang, Haotian Hu, Zhenyu Zhang, Gaojie Jin, Xiang Li, Li Shen, Tianlong Chen, Lu Liu, Qingsong Wen, Zhangyang Wang, Shiwei Liu
2025	J	`jnl`	ThermoRL:Structure-Aware Reinforcement Learning for Protein Mutation Design to Enhance Thermostability. CoRR Xiangwen Wang, Gaojie Jin, Xiaowei Huang, Ronghui Mu
2025	J	`jnl`	Toward Linearly Regularizing the Geometric Bottleneck of Linear Generalized Attention. Trans. Mach. Learn. Res. Jiaxu Liu, Xinping Yi, Xiangyu Yin, Yuhang Song, Gaojie Jin, Xiaowei Huang
2024	J	`jnl`	A survey of safety and trustworthiness of large language models through the lens of verification and validation. Artif. Intell. Rev. Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
2024	J	`jnl`	Building Guardrails for Large Language Models. CoRR Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang
2024	—	`conf`	Class-Aware Cross Pseudo Supervision Framework for Semi-Supervised Multi-organ Segmentation in Abdominal CT Scans. PRCV (14) Deqian Yang, Haochen Zhao, Gaojie Jin, Hui Meng, Lijun Zhang
2024	J	`jnl`	Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network. CoRR Dengyu Wu, Yi Qi, Kaiwen Cai, Gaojie Jin, Xinping Yi, Xiaowei Huang
2024	J	`jnl`	Formal verification of robustness and resilience of learning-enabled state estimation systems. Neurocomputing Wei Huang, Yifan Zhou, Gaojie Jin, Youcheng Sun, Jie Meng, Fan Zhang, Xiaowei Huang
2024	J	`jnl`	Invariant Correlation of Representation with Label. CoRR Gaojie Jin, Ronghui Mu, Xinping Yi, Xiaowei Huang, Lijun Zhang
2024	—	`conf`	Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors. ECCV (66) Tao Lin, Lijia Yu, Gaojie Jin, Renjue Li, Peng Wu, Lijun Zhang
2024	J	`jnl`	Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors. CoRR Tao Lin, Lijia Yu, Gaojie Jin, Renjue Li, Peng Wu, Lijun Zhang
2024	A*	`conf`	Position: Building Guardrails for Large Language Models Requires Systematic Design. ICML Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang
2024	J	`jnl`	Safeguarding Large Language Models: A Survey. CoRR Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang
2023	J	`jnl`	A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
2023	A*	`conf`	Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. AAAI Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni
2023	—	`book`	Machine Learning Safety Xiaowei Huang, Gaojie Jin, Wenjie Ruan
2023	J	`jnl`	Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff. CoRR Dengyu Wu, Gaojie Jin, Han Yu, Xinping Yi, Xiaowei Huang
2023	A*	`conf`	Randomized Adversarial Training via Taylor Expansion. CVPR Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang
2023	J	`jnl`	Randomized Adversarial Training via Taylor Expansion. CoRR Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang
2023	A*	`conf`	SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. ICCV Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang
2023	A*	`conf`	TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models. ICCV Liang Zhang, Nathaniel Xu, Pengfei Yang, Gaojie Jin, Cheng-Chao Huang, Lijun Zhang
2023	J	`jnl`	TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models. CoRR Liang Zhang, Nathaniel Xu, Pengfei Yang, Gaojie Jin, Cheng-Chao Huang, Lijun Zhang
2022	J	`jnl`	Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. CoRR Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni
2022	A*	`conf`	Enhancing Adversarial Training with Second-Order Statistics of Weights. CVPR Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang
2022	J	`jnl`	Enhancing Adversarial Training with Second-Order Statistics of Weights. CoRR Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang
2022	J	`jnl`	Neuronal Correlation: a Central Concept in Neural Network. CoRR Gaojie Jin, Xinping Yi, Xiaowei Huang
2022	J	`jnl`	SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. CoRR Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang
2022	J	`jnl`	Weight Expansion: A New Perspective on Dropout and Generalization. CoRR Gaojie Jin, Xinping Yi, Pengfei Yang, Lijun Zhang, Sven Schewe, Xiaowei Huang
2022	J	`jnl`	Weight Expansion: A New Perspective on Dropout and Generalization. Trans. Mach. Learn. Res. Gaojie Jin, Xinping Yi, Pengfei Yang, Lijun Zhang, Sven Schewe, Xiaowei Huang
2020	A*	`conf`	How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks? NeurIPS Gaojie Jin, Xinping Yi, Liang Zhang, Lijun Zhang, Sven Schewe, Xiaowei Huang
2020	J	`jnl`	How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks. CoRR Gaojie Jin, Xinping Yi, Liang Zhang, Lijun Zhang, Sven Schewe, Xiaowei Huang