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Minghao Liu 0001
Person information
- affiliation: Chinese Academy of Sciences, Institute of Software, Beijing, China
Other persons with the same name
- Minghao Liu — disambiguation page
- Minghao Liu 0002 — Chinese Academy of Sciences, Northwest Institute of Eco-Environment and Resources, Lanzhou, China
- Minghao Liu 0003 — Nanjing University of Science and Technology, Nanjing, Jiangsu, China
- Minghao Liu 0004 — Renmin University of China, Beijing, China
- Minghao Liu 0005 — Chongqing University of Posts and Telecoms, Chongqing, China
- Minghao Liu 0006 — Arizona State University, School for Engineering of Matter, Transport and Energy, Tempe, AZ, USA (and 1 more)
- Minghao Liu 0007 — Xiamen University, School of Informatics, Fujian Key Lab. On Sensing and Computing for Smart City, China
- Minghao Liu 0008 — Zhengzhou University, Zhengzhou, China
- Minghao Liu 0009 — University of California Santa Cruz, CA, USA
- Minghao Liu 0010 — Northeastern University (Qinhuangdao), School of Computer and Communication Engineering, China
- Minghao Liu 0011 — University of Posts and Telecommunications, College of Computer Science and Technology, Chongqing, China
- Minghao Liu 0012 — Xidian University, School of Cyber Engineering, Xi'an, China
- Minghao Liu 0013 — BNU-HKBU United International College, Zhuhai, China
- Minghao Liu 0014 — Hunan Normal University, College of Information Science and Engineering, Changsha, China
- Minghao Liu 0015 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Minghao Liu 0016 — China University of Petroleum (East China), Qingdao, China
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Journal Articles
- 2022
- [j2]Jian Gao, Yiqi Lv, Minghao Liu, Shaowei Cai, Feifei Ma:
Improving Simulated Annealing for Clique Partitioning Problems. J. Artif. Intell. Res. 74: 1485-1513 (2022) - [j1]Yupeng Zhou, Minghao Liu, Feifei Ma, Na Luo, Minghao Yin:
Modelling and solving the supply marketing order allocation problem with time consistency and bundle discounts. J. Oper. Res. Soc. 73(8): 1682-1691 (2022)
Conference and Workshop Papers
- 2023
- [c13]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 - [c12]Fuqi Jia, Rui Han, Pei Huang, Minghao Liu, Feifei Ma, Jian Zhang:
Improving Bit-Blasting for Nonlinear Integer Constraints. ISSTA 2023: 14-25 - [c11]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 - [c10]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 - [c9]Fuqi Jia, Yuhang Dong, Minghao Liu, Pei Huang, Feifei Ma, Jian Zhang:
Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning. NeurIPS 2023 - [c8]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 - 2022
- [c7]Pei Huang, Yuting Yang, Fuqi Jia, Minghao Liu, Feifei Ma, Jian Zhang:
Word Level Robustness Enhancement: Fight Perturbation with Perturbation. AAAI 2022: 10785-10793 - [c6]Pei Huang, Yuting Yang, Minghao Liu, Fuqi Jia, Feifei Ma, Jian Zhang:
ε-weakened robustness of deep neural networks. ISSTA 2022: 126-138 - 2021
- [c5]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
- [c4]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
- [c3]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 - [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]Minghao Liu, Feifei Ma, Jun Yan:
A Community-Division Based Algorithm for Finding Relations Among Linear Constraints. KSEM (2) 2018: 12-23
Informal and Other Publications
- 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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