Stanford Advisors


Current Research and Scholarly Interests


Automated Reasoning, Trustworthy AI, Neural Symbolic Methods, Constraint Solving

All Publications


  • Don't Confuse! Redrawing GUI Navigation Flow in Mobile Apps for Visually Impaired Users IEEE TRANSACTIONS ON SOFTWARE ENGINEERING Zhang, M., Liu, H., Zhou, Y., Chen, C., Huang, P., Zhao, J. 2024; 50 (12): 3351-3368
  • Are your apps accessible? A GCN-based accessibility checker for low vision users INFORMATION AND SOFTWARE TECHNOLOGY Zhang, M., Liu, H., Song, S., Chen, C., Huang, P., Zhao, J. 2024; 174
  • A prompt-based approach to adversarial example generation and robustness enhancement FRONTIERS OF COMPUTER SCIENCE Yang, Y., Huang, P., Cao, J., Li, J., Lin, Y., Ma, F. 2024; 18 (4)
  • Towards Efficient Verification of Quantized Neural Networks Huang, P., Wu, H., Yang, Y., Daukantas, I., Wu, M., Zhang, Y., Barrett, C., Wooldridge, M., Dy, J., Natarajan, S. ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE. 2024: 21152-21160
  • Parallel Verification for δ-Equivalence of Neural Network Quantization Huang, P., Yang, Y., Wu, H., Daukantas, I., Wu, M., Jia, F., Barrett, C., Avni, G., Giacobbe, M., Johnson, T. T., Katz, G., Lukina, A., Narodytska, N., Schilling, C. SPRINGER INTERNATIONAL PUBLISHING AG. 2024: 78-99
  • Marabou 2.0: A Versatile Formal Analyzer of Neural Networks Wu, H., Isac, O., Zeljic, A., Tagomori, T., Daggitt, M., Kokke, W., Refaeli, I., Amir, G., Julian, K., Bassan, S., Huang, P., Lahav, O., Wu, M., Zhang, M., Komendantskaya, E., Katz, G., Barrett, C., Ganesh, Gurfinkel, A. SPRINGER INTERNATIONAL PUBLISHING AG. 2024: 249-264
  • Quantifying Robustness to Adversarial Word Substitutions Yang, Y., Huang, P., Cao, J., Ma, F., Zhang, J., Li, J., Koutra, D., Plant, C., Rodriguez, M. G., Baralis, E., Bonchi, F. SPRINGER INTERNATIONAL PUBLISHING AG. 2023: 95-112
  • Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning Jia, F., Dong, Y., Liu, M., Huang, P., Ma, F., Zhang, J., Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2023
  • Improving Bit-Blasting for Nonlinear Integer Constraints Jia, F., Han, R., Huang, P., Liu, M., Ma, F., Zhang, J., Just, R., Fraser, G. ASSOC COMPUTING MACHINERY. 2023: 14-25
  • PSMT: Satisfiability Modulo Theories Meets Probability Distribution Jia, F., Han, R., Ma, X., Cui, B., Liu, M., Huang, P., Ma, F., Zhang, J., IEEE IEEE COMPUTER SOC. 2023: 1756-1760
  • NRAgo: Solving SMT(NRA) Formulas with Gradient-based Optimization Liu, M., Lv, K., Huang, P., Han, R., Jia, F., Zhang, Y., Ma, F., Zhang, J., IEEE IEEE COMPUTER SOC. 2023: 2046-2049
  • Word Level Robustness Enhancement: Fight Perturbation with Perturbation (AAAI2022) Huang, P., Yang, Y., Jia, F., Liu, M., Ma, F., Zhang, J. 2022: 10785-10793
  • ε-Weakened robustness of deep neural networks (ISSTA2022) Huang, P., Yang, Y., Liu, M., Jia, F., Ma, F., Zhang, J. 2022: 126-138
  • Efficient SAT-Based Minimal Model Generation Methods for Modal Logic S5 (SAT2021) Huang, P., Li, R., Liu, M., Ma, F., Zhang, J. 2021: 225-241
  • Learning the Satisfiability of Pseudo-Boolean Problem with Graph Neural Networks (CP2020) Liu, M., Zhang, F., Huang, P., Niu, S., Ma, F., Zhang, J. 2020: 885-898
  • Solving the Satisfiability Problem of Modal Logic S5 Guided by Graph Coloring (IJCAI2019) Huang, P., Liu, M., Wang, P., Zhang, W., Ma, F., Zhang, J. 2019: 1093-1100
  • Approximating Integer Solution Counting via Space Quantification for Linear Constraints (IJCAI2019) Ge, C., Ma, F., Ma, X., Zhang, F., Huang, P., Zhang, J. 2019: 1697-1703
  • Investigating the Existence of Orthogonal Golf Designs via Satisfiability Testing (ISSAC2019) Huang, P., Liu, M., Ge, C., Ma, F., Zhang, J. 2019: 203-210
  • Investigating the Existence of Large Sets of Idempotent Quasigroups via Satisfiability Testing (IJCAR2018) Huang, P., Ma, F., Ge, C., Zhang, J., Zhang, H. 2018: 354-369