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2020 – today
- 2024
[j1]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)- [i5]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) - 2023
- [c1]Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang:
Randomized Adversarial Training via Taylor Expansion. CVPR 2023: 16447-16457 - [i4]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) - [i3]Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang:
Randomized Adversarial Training via Taylor Expansion. CoRR abs/2303.10653 (2023) - [i2]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) - 2021
- [i1]Dengyu Wu, Xinping Yi, Xiaowei Huang:
A Little Energy Goes a Long Way: Energy-Efficient, Accurate Conversion from Convolutional Neural Networks to Spiking Neural Networks. CoRR abs/2103.00944 (2021)
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