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2020 – today
- 2024
[j3]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): 175 (2024)- [j2]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: 127643 (2024) - [c8]Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang:
Position: Building Guardrails for Large Language Models Requires Systematic Design. ICML 2024 - [c7]Deqian Yang, Haochen Zhao, Gaojie Jin, Hui Meng, Lijun Zhang:
Class-Aware Cross Pseudo Supervision Framework for Semi-Supervised Multi-organ Segmentation in Abdominal CT Scans. PRCV (14) 2024: 148-162 - [i14]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 abs/2402.01822 (2024) - [i13]Dengyu Wu, Yi Qi, Kaiwen Cai, Gaojie Jin, Xinping Yi, Xiaowei Huang:
Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network. CoRR abs/2405.00699 (2024) - [i12]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 abs/2406.02622 (2024) - [i11]Gaojie Jin, Ronghui Mu, Xinping Yi, Xiaowei Huang, Lijun Zhang:
Invariant Correlation of Representation with Label. CoRR abs/2407.01749 (2024) - 2023
- [b1]Xiaowei Huang, Gaojie Jin, Wenjie Ruan:
Machine Learning Safety. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2023, ISBN 978-981-19-6813-6, pp. 3-263 - [c6]Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni:
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. AAAI 2023: 15046-15054 - [c5]Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang:
Randomized Adversarial Training via Taylor Expansion. CVPR 2023: 16447-16457 - [c4]Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang:
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. ICCV 2023: 1988-1998 - [c3]Liang Zhang, Nathaniel Xu, Pengfei Yang, Gaojie Jin, Cheng-Chao Huang, Lijun Zhang:
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models. ICCV 2023: 8293-8305 - [i10]Dengyu Wu, Gaojie Jin, Han Yu, Xinping Yi, Xiaowei Huang:
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff. CoRR abs/2301.09522 (2023) - [i9]Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang:
Randomized Adversarial Training via Taylor Expansion. CoRR abs/2303.10653 (2023) - [i8]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 abs/2305.11391 (2023) - [i7]Liang Zhang, Nathaniel Xu, Pengfei Yang, Gaojie Jin, Cheng-Chao Huang, Lijun Zhang:
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models. CoRR abs/2308.05985 (2023) - 2022
- [j1]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) - [c2]Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang:
Enhancing Adversarial Training with Second-Order Statistics of Weights. CVPR 2022: 15252-15262 - [i6]Gaojie Jin, Xinping Yi, Xiaowei Huang:
Neuronal Correlation: a Central Concept in Neural Network. CoRR abs/2201.09069 (2022) - [i5]Gaojie Jin, Xinping Yi, Pengfei Yang, Lijun Zhang, Sven Schewe, Xiaowei Huang:
Weight Expansion: A New Perspective on Dropout and Generalization. CoRR abs/2201.09209 (2022) - [i4]Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang:
Enhancing Adversarial Training with Second-Order Statistics of Weights. CoRR abs/2203.06020 (2022) - [i3]Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang:
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. CoRR abs/2208.09418 (2022) - [i2]Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni:
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2212.11746 (2022) - 2020
- [c1]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 - [i1]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 abs/2010.05983 (2020)
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