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ORCIDPei Huang 0002
Person information
- unicode name: 黄沛
- affiliation: Stanford University, Palo Alto, CA, USA
- affiliation (former): Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Science, Beijing, China
Other persons with the same name
- Pei Huang 0001 — Michigan State University, East Lansing, MI, USA
- Pei Huang 0003 — Shanghai Jiaotong University, Shanghai, China
- Pei Huang 0004 — Zhejiang University of Science and Technology, Hangzhou, China
- Pei Huang 0005
![[0000-0001-8012-7105]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8012-7105")
— Clemson University, Department of Electrical and Computer Engineering, SC, USA (and 1 more) - Pei Huang 0006 — Huazhong University of Science and Technology, Wuhan, China
- Pei Huang 0007 — Ball Aerospace & Technologies Corporation, Boulder, CO, USA
- Pei Huang 0008 — Yahoo Inc., New York, NY, USA
- Pei Huang 0009 — Samsung Electronics America
- Pei Huang 0010 — Jilin University, Changchun, China
- Pei Huang 0011 — Sichuan Normal University, College of Geography and Resources, Chengdu, China
- Pei Huang 0012 — University of Cambridge, MRC-Cognition and Brain Sciences Unit, UK
- Pei Huang 0013 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Pei Huang 0014 — Dalarna University, Department of Energy and Built Environment, Falun, Sweden
- Pei Huang 0015 — Ruijin Hospital, Department of Neurology, Shanghai, China (and 1 more)
- Pei Huang 0016 — China University of Geosciences, Faculty of Engineering, Wuhan, China
- Pei Huang 0017 — Beijing University of Posts and Telecommunications, School of Humanities, China
- Pei Huang 0018 — Peking University, School of Electronic and Computer Engineering, Shenzhen, China
- Pei Huang 0019 — South China University of Technology, School of Software Engineering, Guangzhou, China
- Pei Huang 0020 — Central South University, School of Automation, Changsha, China
- Pei Huang 0021 — University of Rochester, School of Art and Science, NY, USA
- Pei Huang 0022 — Ocean University of China, College of Environmental Science and Engineering, Qingdao, China
- Pei Huang 0023 — State Grid Chongqing Electric Power Company, Beibei Power Supply Branch, China
- Pei Huang 0024 — Wuhan University of Technology, School of Computer Science and Artificial Intelligence, China
- Pei Huang 0025 — Zhongnan University of Economics and Law, School of Business Administration, Wuhan, China
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Journal Articles
- 2024
[j2]Yuting Yang, Pei Huang, Juan Cao, Jintao Li, Yun Lin, Feifei Ma:
A prompt-based approach to adversarial example generation and robustness enhancement. Frontiers Comput. Sci. 18(4) (2024)- [j1]Mengxi Zhang, Huaxiao Liu, Shenning Song, Chunyang Chen, Pei Huang, Jian Zhao:
Are your apps accessible? A GCN-based accessibility checker for low vision users. Inf. Softw. Technol. 174: 107518 (2024)
Conference and Workshop Papers
- 2024
- [c20]Pei Huang, Haoze Wu, Yuting Yang, Ieva Daukantas, Min Wu, Yedi Zhang, Clark W. Barrett:
Towards Efficient Verification of Quantized Neural Networks. AAAI 2024: 21152-21160 - [c19]Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. CAV (2) 2024: 249-264 - [c18]Yuting Yang, Pei Huang, Feifei Ma, Juan Cao, Jintao Li:
PAD: A Robustness Enhancement Ensemble Method via Promoting Attention Diversity. LREC/COLING 2024: 12574-12584 - [c17]Pei Huang, Yuting Yang, Haoze Wu, Ieva Daukantas, Min Wu, Fuqi Jia, Clark W. Barrett:
Parallel Verification for δ-Equivalence of Neural Network Quantization. SAIV 2024: 78-99 - 2023
- [c16]Minghao Liu, Pei Huang, Fuqi Jia, Fan Zhang, Yuchen Sun, Shaowei Cai, Feifei Ma, Jian Zhang:
Can Graph Neural Networks Learn to Solve the MaxSAT Problem? (Student Abstract). AAAI 2023: 16264-16265 - [c15]Fuqi Jia, Rui Han, Pei Huang, Minghao Liu, Feifei Ma, Jian Zhang:
Improving Bit-Blasting for Nonlinear Integer Constraints. ISSTA 2023: 14-25 - [c14]Fuqi Jia, Rui Han, Xutong Ma, Baoquan Cui, Minghao Liu, Pei Huang, Feifei Ma, Jian Zhang:
PSMT: Satisfiability Modulo Theories Meets Probability Distribution. ASE 2023: 1756-1760 - [c13]Minghao Liu, Kunhang Lv, Pei Huang, Rui Han, Fuqi Jia, Yu Zhang, Feifei Ma, Jian Zhang:
NRAgo: Solving SMT(NRA) Formulas with Gradient-Based Optimization. ASE 2023: 2046-2049 - [c12]Fuqi Jia, Yuhang Dong, Minghao Liu, Pei Huang, Feifei Ma, Jian Zhang:
Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning. NeurIPS 2023 - [c11]Yuting Yang, Pei Huang, Juan Cao, Feifei Ma, Jian Zhang, Jintao Li:
Quantifying Robustness to Adversarial Word Substitutions. ECML/PKDD (1) 2023: 95-112 - [c10]Minghao Liu, Rui Han, Fuqi Jia, Pei Huang, Feifei Ma, Hantao Zhang, Jian Zhang:
Investigating the Existence of Holey Latin Squares via Satisfiability Testing. PRICAI (2) 2023: 410-422 - [c9]Yuting Yang, Wenqiang Lei, Pei Huang, Juan Cao, Jintao Li, Tat-Seng Chua:
A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking. WWW 2023: 1468-1477 - 2022
- [c8]Pei Huang, Yuting Yang, Fuqi Jia, Minghao Liu, Feifei Ma, Jian Zhang:
Word Level Robustness Enhancement: Fight Perturbation with Perturbation. AAAI 2022: 10785-10793 - [c7]Pei Huang, Yuting Yang, Minghao Liu, Fuqi Jia, Feifei Ma, Jian Zhang:
ε-weakened robustness of deep neural networks. ISSTA 2022: 126-138 - 2021
- [c6]Pei Huang, Rundong Li, Minghao Liu, Feifei Ma, Jian Zhang:
Efficient SAT-Based Minimal Model Generation Methods for Modal Logic S5. SAT 2021: 225-241 - 2020
- [c5]Minghao Liu, Fan Zhang, Pei Huang, Shuzi Niu, Feifei Ma, Jian Zhang:
Learning the Satisfiability of Pseudo-Boolean Problem with Graph Neural Networks. CP 2020: 885-898 - 2019
- [c4]Pei Huang, Minghao Liu, Ping Wang, Wenhui Zhang, Feifei Ma, Jian Zhang:
Solving the Satisfiability Problem of Modal Logic S5 Guided by Graph Coloring. IJCAI 2019: 1093-1100 - [c3]Cunjing Ge, Feifei Ma, Xutong Ma, Fan Zhang, Pei Huang, Jian Zhang:
Approximating Integer Solution Counting via Space Quantification for Linear Constraints. IJCAI 2019: 1697-1703 - [c2]Pei Huang, Minghao Liu, Cunjing Ge, Feifei Ma, Jian Zhang:
Investigating the Existence of Orthogonal Golf Designs via Satisfiability Testing. ISSAC 2019: 203-210 - 2018
- [c1]Pei Huang, Feifei Ma, Cunjing Ge, Jian Zhang, Hantao Zhang:
Investigating the Existence of Large Sets of Idempotent Quasigroups via Satisfiability Testing. IJCAR 2018: 354-369
Informal and Other Publications
- 2024
- [i6]Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. CoRR abs/2401.14461 (2024) - 2023
- [i5]Pei Huang, Haoze Wu, Yuting Yang, Ieva Daukantas, Min Wu, Yedi Zhang, Clark W. Barrett:
Towards Efficient Verification of Quantized Neural Networks. CoRR abs/2312.12679 (2023) - 2022
- [i4]Yuting Yang, Pei Huang, Feifei Ma, Juan Cao, Meishan Zhang, Jian Zhang, Jintao Li:
Quantifying Robustness to Adversarial Word Substitutions. CoRR abs/2201.03829 (2022) - [i3]Yuting Yang, Pei Huang, Juan Cao, Jintao Li, Yun Lin, Jin Song Dong, Feifei Ma, Jian Zhang:
A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement. CoRR abs/2203.10714 (2022) - 2021
- [i2]Pei Huang, Yuting Yang, Minghao Liu, Fuqi Jia, Feifei Ma, Jian Zhang:
ε-weakened Robustness of Deep Neural Networks. CoRR abs/2110.15764 (2021) - [i1]Minghao Liu, Fuqi Jia, Pei Huang, Fan Zhang, Yuchen Sun, Shaowei Cai, Feifei Ma, Jian Zhang:
Can Graph Neural Networks Learn to Solve MaxSAT Problem? CoRR abs/2111.07568 (2021)
Coauthor Index
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