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Pei 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
— 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
- Pei Huang 0012
- Pei Huang 0013
- Pei Huang 0014 — Dalarna University, Department of Energy and Built Environment, Falun, Sweden
- Pei Huang 0015
- 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
- Pei Huang 0019
- 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
- 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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2020 – today
- 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
Are your apps accessible? A GCN-based accessibility checker for low vision users. Inf. Softw. Technol. 174: 107518 (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
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 - [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
- [c16]Minghao Liu
Can Graph Neural Networks Learn to Solve the MaxSAT Problem? (Student Abstract). AAAI 2023: 16264-16265 - [c15]Fuqi Jia
Improving Bit-Blasting for Nonlinear Integer Constraints. ISSTA 2023: 14-25 - [c14]Fuqi Jia, Rui Han, Xutong Ma, Baoquan Cui, Minghao Liu
PSMT: Satisfiability Modulo Theories Meets Probability Distribution. ASE 2023: 1756-1760 - [c13]Minghao Liu
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
Investigating the Existence of Holey Latin Squares via Satisfiability Testing. PRICAI (2) 2023: 410-422 - [c9]Yuting Yang
A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking. WWW 2023: 1468-1477 - [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
- [c8]Pei Huang, Yuting Yang, Fuqi Jia, Minghao Liu
Word Level Robustness Enhancement: Fight Perturbation with Perturbation. AAAI 2022: 10785-10793 - [c7]Pei Huang, Yuting Yang, Minghao Liu
ε-weakened robustness of deep neural networks. ISSTA 2022: 126-138 - [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
- [c6]Pei Huang, Rundong Li, Minghao Liu
Efficient SAT-Based Minimal Model Generation Methods for Modal Logic S5. SAT 2021: 225-241 - [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) - 2020
- [c5]Minghao Liu
Learning the Satisfiability of Pseudo-Boolean Problem with Graph Neural Networks. CP 2020: 885-898
2010 – 2019
- 2019
- [c4]Pei Huang, Minghao Liu
Solving the Satisfiability Problem of Modal Logic S5 Guided by Graph Coloring. IJCAI 2019: 1093-1100 - [c3]Cunjing Ge
Approximating Integer Solution Counting via Space Quantification for Linear Constraints. IJCAI 2019: 1697-1703 - [c2]Pei Huang, Minghao Liu
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
Coauthor Index
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last updated on 2024-11-11 22:25 CET by the dblp team
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