Gaojie Jin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

State Estimation

Top Venues

Artif. Intell. Rev.

Publications

Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang
Safeguarding Large Language Models: A Survey. CoRR (2024)
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
A survey of safety and trustworthiness of large language models through the lens of verification and validation. Artif. Intell. Rev. 57 (7) (2024)
Gaojie Jin, Ronghui Mu, Xinping Yi, Xiaowei Huang, Lijun Zhang
Invariant Correlation of Representation with Label. CoRR (2024)
Dengyu Wu, Yi Qi, Kaiwen Cai, Gaojie Jin, Xinping Yi, Xiaowei Huang
Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network. CoRR (2024)
Wei Huang, Yifan Zhou, Gaojie Jin, Youcheng Sun, Jie Meng, Fan Zhang, Xiaowei Huang
Formal verification of robustness and resilience of learning-enabled state estimation systems. Neurocomputing 585 (2024)
Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang
Building Guardrails for Large Language Models. CoRR (2024)
Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang
Randomized Adversarial Training via Taylor Expansion. CVPR (2023)
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. AAAI (2023)
Liang Zhang, Nathaniel Xu, Pengfei Yang, Gaojie Jin, Cheng-Chao Huang, Lijun Zhang
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models. ICCV (2023)
Liang Zhang, Nathaniel Xu, Pengfei Yang, Gaojie Jin, Cheng-Chao Huang, Lijun Zhang
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models. CoRR (2023)
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
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR (2023)
Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang
Randomized Adversarial Training via Taylor Expansion. CoRR (2023)
Dengyu Wu, Gaojie Jin, Han Yu, Xinping Yi, Xiaowei Huang
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff. CoRR (2023)
Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. ICCV (2023)
Gaojie Jin, Xinping Yi, Xiaowei Huang
Neuronal Correlation: a Central Concept in Neural Network. CoRR (2022)
Gaojie Jin, Xinping Yi, Pengfei Yang, Lijun Zhang, Sven Schewe, Xiaowei Huang
Weight Expansion: A New Perspective on Dropout and Generalization. CoRR (2022)
Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang
Enhancing Adversarial Training with Second-Order Statistics of Weights. CVPR (2022)
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. CoRR (2022)
Gaojie Jin, Xinping Yi, Pengfei Yang, Lijun Zhang, Sven Schewe, Xiaowei Huang
Weight Expansion: A New Perspective on Dropout and Generalization. Trans. Mach. Learn. Res. 2022 (2022)
Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. CoRR (2022)
Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang
Enhancing Adversarial Training with Second-Order Statistics of Weights. CoRR (2022)
Gaojie Jin, Xinping Yi, Liang Zhang, Lijun Zhang, Sven Schewe, Xiaowei Huang
How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks. CoRR (2020)
Gaojie Jin, Xinping Yi, Liang Zhang, Lijun Zhang, Sven Schewe, Xiaowei Huang
How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks? NeurIPS (2020)