Minghao Liu

According to our database, Minghao Liu authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning.

Fuqi Jia, Yuhang Dong, Minghao Liu, Pei Huang, Feifei Ma, Jian Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NRAgo: Solving SMT(NRA) Formulas with Gradient-Based Optimization.

Minghao Liu, Kunhang Lv, Pei Huang, Rui Han, Fuqi Jia, Yu Zhang, Feifei Ma, Jian Zhang

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

PSMT: Satisfiability Modulo Theories Meets Probability Distribution.

Fuqi Jia, Rui Han, Xutong Ma, Baoquan Cui, Minghao Liu, Pei Huang, Feifei Ma, Jian Zhang

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Improving Bit-Blasting for Nonlinear Integer Constraints.

Fuqi Jia, Rui Han, Pei Huang, Minghao Liu, Feifei Ma, Jian Zhang

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Can Graph Neural Networks Learn to Solve the MaxSAT Problem? (Student Abstract).

Minghao Liu, Pei Huang, Fuqi Jia, Fan Zhang, Yuchen Sun, Shaowei Cai, Feifei Ma, Jian Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Modelling and solving the supply marketing order allocation problem with time consistency and bundle discounts.

Yupeng Zhou, Minghao Liu, Feifei Ma, Na Luo, Minghao Yin

J. Oper. Res. Soc., 2022

Improving Simulated Annealing for Clique Partitioning Problems.

Jian Gao, Yiqi Lv, Minghao Liu, Shaowei Cai, Feifei Ma

J. Artif. Intell. Res., 2022

ε-weakened robustness of deep neural networks.

Pei Huang, Yuting Yang, Minghao Liu, Fuqi Jia, Feifei Ma, Jian Zhang

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Word Level Robustness Enhancement: Fight Perturbation with Perturbation.

Pei Huang, Yuting Yang, Fuqi Jia, Minghao Liu, Feifei Ma, Jian Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Can Graph Neural Networks Learn to Solve MaxSAT Problem?

Minghao Liu, Fuqi Jia, Pei Huang, Fan Zhang, Yuchen Sun, Shaowei Cai, Feifei Ma, Jian Zhang

CoRR, 2021

Efficient SAT-Based Minimal Model Generation Methods for Modal Logic S5.

Pei Huang, Rundong Li, Minghao Liu, Feifei Ma, Jian Zhang

Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2021, 2021

2020

Learning the Satisfiability of Pseudo-Boolean Problem with Graph Neural Networks.

Minghao Liu, Fan Zhang, Pei Huang, Shuzi Niu, Feifei Ma, Jian Zhang

Proceedings of the Principles and Practice of Constraint Programming, 2020

2019

Investigating the Existence of Orthogonal Golf Designs via Satisfiability Testing.

Pei Huang, Minghao Liu, Cunjing Ge, Feifei Ma, Jian Zhang

Proceedings of the 2019 on International Symposium on Symbolic and Algebraic Computation, 2019

Solving the Satisfiability Problem of Modal Logic S5 Guided by Graph Coloring.

Pei Huang, Minghao Liu, Ping Wang, Wenhui Zhang, Feifei Ma, Jian Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

A Community-Division Based Algorithm for Finding Relations Among Linear Constraints.

Minghao Liu, Feifei Ma, Jun Yan

Proceedings of the Knowledge Science, Engineering and Management, 2018