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Fuqi Jia
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2020 – today
- 2024
- [c10]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 - [c9]Siqi Wang, Changwen Li, Tiantian Sun, Fuqi Jia, Rongjie Yan, Jun Yan:
Automatic Construction of HD Maps for Simulation-Based Testing of Autonomous Driving Systems. TASE 2024: 410-427 - 2023
- [c8]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 - [c7]Fuqi Jia
Improving Bit-Blasting for Nonlinear Integer Constraints. ISSTA 2023: 14-25 - [c6]Fuqi Jia, Rui Han, Xutong Ma, Baoquan Cui, Minghao Liu
PSMT: Satisfiability Modulo Theories Meets Probability Distribution. ASE 2023: 1756-1760 - [c5]Minghao Liu
NRAgo: Solving SMT(NRA) Formulas with Gradient-Based Optimization. ASE 2023: 2046-2049 - [c4]Fuqi Jia, Yuhang Dong, Minghao Liu, Pei Huang, Feifei Ma, Jian Zhang:
Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning. NeurIPS 2023 - [c3]Minghao Liu
Investigating the Existence of Holey Latin Squares via Satisfiability Testing. PRICAI (2) 2023: 410-422 - 2022
- [c2]Pei Huang, Yuting Yang, Fuqi Jia, Minghao Liu
Word Level Robustness Enhancement: Fight Perturbation with Perturbation. AAAI 2022: 10785-10793 - [c1]Pei Huang, Yuting Yang, Minghao Liu
ε-weakened robustness of deep neural networks. ISSTA 2022: 126-138 - 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)
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