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Wei Huang 0035
Person information
- affiliation: Purple Mountain Laboratories, Nanjing, China
- affiliation: University of Liverpool, School of Electrical Engineering, Electronics and Computer Science, EEECS, UK
Other persons with the same name
- Wei Huang — disambiguation page
- Wei Huang 0001 — Google, USA (and 1 more)
- Wei Huang 0002
— Institute of Southwestern Communication, Science and Technology on Communication Security Laboratory, Chengdu, China (and 2 more)
- Wei Huang 0003 — The Ohio State University, Columbus, USA
- Wei Huang 0004 — AMD Research (and 3 more)
- Wei Huang 0005 — Virginia Tech, Blacksburg, USA
- Wei Huang 0006 — Huazhong University of Science and Technology, School of Management, Wuhan, China
- Wei Huang 0007
- Wei Huang 0008
- Wei Huang 0009
- Wei Huang 0010
- Wei Huang 0011
- Wei Huang 0012
- Wei Huang 0013
- Wei Huang 0014
- Wei Huang 0015
- Wei Huang 0016
- Wei Huang 0017
- Wei Huang 0018 — University of Westminster, UK (and 1 more)
- Wei Huang 0019 — University of Bedfordshire, UK (and 1 more)
- Wei Huang 0020
- Wei Huang 0021
- Wei Huang 0022
- Wei Huang 0023
- Wei Huang 0024 — Nanjing Institute of Technology, School of Computer Engineering, Nanjing, China
- Wei Huang 0025 — QIHOO 360, China (and 1 more)
- Wei Huang 0026 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China (and 1 more)
- Wei Huang 0027
- Wei Huang 0028 — Chinese Academy of Sciences, Key Laboratory of Wireless-Optical Communications, Hefei, China (and 1 more)
- Wei Huang 0029 — University of Windsor, Department of Electrical and Computer Engineering, Windsor, Canada
- Wei Huang 0030 — Beijing Institute of Technology, School of Computer Science, Beijing Laboratory of Intelligent Information Technology, China
- Wayne Huang 0001
- Wei Huang 0032 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
- Wei Huang 0033 — Tianjin University of Technology, School of Computer Science and Engineering, Engineering Research Center of Learning-Based Intelligent System, MOE Key Laboratory of Computer Vision and Systems, China (and 1 more)
- Wei Huang 0034
- Wei Huang 0036
- Wei Huang 0037
- Wei Huang 0038
- Wei Huang 0039 — niversity of Science and Technology Beijing (and 1 more)
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2020 – today
- 2024
- [j8]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
A survey of safety and trustworthiness of large language models through the lens of verification and validation. Artif. Intell. Rev. 57(7): 175 (2024) - [j7]Xinwei Yuan, Shu Han, Wei Huang
A simple framework to enhance the adversarial robustness of deep learning-based intrusion detection system. Comput. Secur. 137: 103644 (2024) - [j6]Xi Chen
Diversity supporting robustness: Enhancing adversarial robustness via differentiated ensemble predictions. Comput. Secur. 142: 103861 (2024) - [j5]Wei Huang
Formal verification of robustness and resilience of learning-enabled state estimation systems. Neurocomputing 585: 127643 (2024) - [j4]Wei Huang
Hierarchical Distribution-aware Testing of Deep Learning. ACM Trans. Softw. Eng. Methodol. 33(2): 42:1-42:35 (2024) - [c9]Kaikang Zhao, Xi Chen, Wei Huang, Liuxin Ding, Xianglong Kong, Fan Zhang:
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models. IJCNN 2024: 1-9 - [i17]Kaikang Zhao, Xi Chen, Wei Huang, Liuxin Ding, Xianglong Kong, Fan Zhang:
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models. CoRR abs/2403.16405 (2024) - [i16]Hanwei Zhang, Luo Cheng, Qisong He, Wei Huang, Renjue Li, Ronan Sicre, Xiaowei Huang, Holger Hermanns, Lijun Zhang:
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds. CoRR abs/2405.14210 (2024) - 2023
- [j3]Yi Dong
Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance. ACM Trans. Embed. Comput. Syst. 22(3): 48:1-48:48 (2023) - [c8]Wei Huang, Xingyu Zhao
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. ICCV 2023: 1988-1998 - [c7]Saddek Bensalem, Chih-Hong Cheng, Wei Huang, Xiaowei Huang, Changshun Wu, Xingyu Zhao
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety-Critical Systems. AISoLA 2023: 55-76 - [i15]Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR abs/2305.11391 (2023) - [i14]Saddek Bensalem, Chih-Hong Cheng, Wei Huang, Xiaowei Huang, Changshun Wu, Xingyu Zhao:
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems. CoRR abs/2307.11784 (2023) - [i13]Xinwei Yuan, Shu Han, Wei Huang, Hongliang Ye, Xianglong Kong, Fan Zhang:
A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System. CoRR abs/2312.03245 (2023) - 2022
- [j2]Wei Huang
Embedding and extraction of knowledge in tree ensemble classifiers. Mach. Learn. 111(5): 1925-1958 (2022) - [j1]Wei Huang
Coverage-Guided Testing for Recurrent Neural Networks. IEEE Trans. Reliab. 71(3): 1191-1206 (2022) - [c6]Gaojie Jin, Xinping Yi, Wei Huang
Enhancing Adversarial Training with Second-Order Statistics of Weights. CVPR 2022: 15252-15262 - [c5]Yi Qi, Philippa Ryan Conmy, Wei Huang, Xingyu Zhao, Xiaowei Huang:
A Hierarchical HAZOP-Like Safety Analysis for Learning-Enabled Systems. AISafety@IJCAI 2022 - [i12]Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang:
Enhancing Adversarial Training with Second-Order Statistics of Weights. CoRR abs/2203.06020 (2022) - [i11]Wei Huang, Xingyu Zhao, Alec Banks, Victoria Cox, Xiaowei Huang:
Hierarchical Distribution-Aware Testing of Deep Learning. CoRR abs/2205.08589 (2022) - [i10]Yi Qi, Philippa Ryan Conmy, Wei Huang, Xingyu Zhao, Xiaowei Huang:
A Hierarchical HAZOP-Like Safety Analysis for Learning-Enabled Systems. CoRR abs/2206.10216 (2022) - [i9]Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang:
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. CoRR abs/2208.09418 (2022) - 2021
- [c4]Xingyu Zhao
Detecting Operational Adversarial Examples for Reliable Deep Learning. DSN (Supplements) 2021: 5-6 - [c3]Xingyu Zhao, Wei Huang, Alec Banks, Victoria Cox, David Flynn, Sven Schewe, Xiaowei Huang:
Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles. AISafety@IJCAI 2021 - [c2]Xingyu Zhao
BayLIME: Bayesian local interpretable model-agnostic explanations. UAI 2021: 887-896 - [i8]Xingyu Zhao, Wei Huang, Sven Schewe, Yi Dong, Xiaowei Huang:
Detecting Operational Adversarial Examples for Reliable Deep Learning. CoRR abs/2104.06015 (2021) - [i7]Xingyu Zhao, Wei Huang, Alec Banks, Victoria Cox, David Flynn, Sven Schewe, Xiaowei Huang:
Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles. CoRR abs/2106.01258 (2021) - [i6]Nicolas Berthier, Youcheng Sun, Wei Huang, Yanghao Zhang, Wenjie Ruan, Xiaowei Huang:
Tutorials on Testing Neural Networks. CoRR abs/2108.01734 (2021) - [i5]Xingyu Zhao, Wei Huang, Vibhav Bharti, Yi Dong, Victoria Cox, Alec Banks, Sen Wang, Sven Schewe, Xiaowei Huang:
Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems. CoRR abs/2112.00646 (2021) - 2020
- [c1]Wei Huang
Practical Verification of Neural Network Enabled State Estimation System for Robotics. IROS 2020: 7336-7343 - [i4]Wei Huang, Xingyu Zhao, Xiaowei Huang:
Embedding and Synthesis of Knowledge in Tree Ensemble Classifiers. CoRR abs/2010.08281 (2020) - [i3]Wei Huang, Yifan Zhou, Youcheng Sun, Alec Banks, Jie Meng, James Sharp
Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics. CoRR abs/2010.08311 (2020)
2010 – 2019
- 2019
- [i2]Wei Huang, Youcheng Sun, Xiaowei Huang, James Sharp:
testRNN: Coverage-guided Testing on Recurrent Neural Networks. CoRR abs/1906.08557 (2019) - [i1]Wei Huang, Youcheng Sun, James Sharp, Xiaowei Huang:
Test Metrics for Recurrent Neural Networks. CoRR abs/1911.01952 (2019)
Coauthor Index
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