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ORCIDWei 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
![[0000-0003-0586-090X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0586-090X")
— 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 — Jiangsu University, School of Computer Science and Communication Engineering, Zhenjiang, China (and 1 more)
- Wei Huang 0008 — Tianjin University of Technology, School of Computer and Communication Engineering, China (and 2 more)
- Wei Huang 0009 — Tsinghua University, Department of Electronic Engineering / TNList, Beijing, China
- Wei Huang 0010 — Hefei University of Technology, School of Computer Science and Information Engineering, China (and 1 more)
- Wei Huang 0011 — Southwestern University of Finance and Economics, School of Finance, Chengdu, China (and 1 more)
- Wei Huang 0012 — Shanghai Jiao Tong University, Department of Electrical Engineering, Institute of Image Communication and Network Engineering, China
- Wei Huang 0013 — Nanchang University, School of Information Engineering, China (and 3 more)
- Wei Huang 0014 — Tongji University, Shanghai, China (and 2 more)
- Wei Huang 0015 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China (and 1 more)
- Wei Huang 0016 — University of Electronic Science and Technology of China, Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Chengdu, China
- Wei Huang 0017 — Southeast University, Intelligent Transportation System Research Center, Nanjing, China
- Wei Huang 0018 — University of Westminster, UK (and 1 more)
- Wei Huang 0019 — University of Bedfordshire, UK (and 1 more)
- Wei Huang 0020 — Hefei University of Technology, School of Mathematics, China (and 1 more)
- Wei Huang 0021 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology, Chengdu, China
- Wei Huang 0022 — Polytechnic University of Turin, Italy
- Wei Huang 0023 — Wuhan University, School of Electronic Information, Wuhan, China
- 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 — University of Toronto, Department of Electrical and Computer Engineering, Toronto, Canada (and 1 more)
- 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 (aka: Wayne W. Huang, Wayne Wei Huang, Wei (Wayne) Huang, Wei Huang 0031) — Southern University of Science and Technology, College of Business, Shenzhen, China (and 5 more)
- 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 — University of Technology Sydney, Australia
- Wei Huang 0036 — University of Science and Technology of China, National Engineering Laboratory for Brain-Inspired Intelligence Technology and Application, Hefei, China
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2020 – today
- 2024
[j6]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. Comput. Secur. 137: 103644 (2024)- [j5]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) - [j4]Wei Huang, Xingyu Zhao, Alec Banks, Victoria Cox, Xiaowei Huang:
Hierarchical Distribution-aware Testing of Deep Learning. ACM Trans. Softw. Eng. Methodol. 33(2): 42:1-42:35 (2024) - [i15]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) - 2023
- [j3]Yi Dong, Wei Huang, Vibhav Bharti, Victoria Cox, Alec Banks, Sen Wang, Xingyu Zhao, Sven Schewe, Xiaowei Huang:
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, Gaojie Jin, Xiaowei Huang:
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 - [i14]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) - [i13]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) - 2022
- [j2]Wei Huang, Xingyu Zhao, Xiaowei Huang:
Embedding and extraction of knowledge in tree ensemble classifiers. Mach. Learn. 111(5): 1925-1958 (2022) - [j1]Wei Huang, Youcheng Sun, Xingyu Zhao, James Sharp, Wenjie Ruan, Jie Meng, Xiaowei Huang:
Coverage-Guided Testing for Recurrent Neural Networks. IEEE Trans. Reliab. 71(3): 1191-1206 (2022) - [c6]Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei 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, Wei Huang, Sven Schewe, Yi Dong, Xiaowei Huang:
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, Wei Huang, Xiaowei Huang, Valentin Robu, David Flynn:
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, Yifan Zhou, Youcheng Sun, James Sharp, Simon Maskell, Xiaowei 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, Simon Maskell, Xiaowei Huang:
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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last updated on 2024-06-18 23:10 CEST by the dblp team
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