Zhonghan Wang

zhece.wang@mail.utoronto.ca

I am a Ph.D. student in Electrical and Computer Engineering at The Edward S. Rogers Sr. Department of Electrical and Computer Engineering of the University of Toronto. Earlier, I earned my B.Eng (2021) in Electrical Engineering from Nankai University, and M.Eng (2025) in Institute of Software, Chinese Academy of Sciences.

My research focuses on formal methods, automated reasoning, and AI-assisted verification, including three key research themes:

  1. Investigate advanced techniques in SMT solving and nonlinear arithmetic, including clause-level decision strategies for NLSAT, local search optimization for nonlinear real arithmetic, and improving solver efficiency on SMT-LIB benchmarks.
  2. Formal verification of distributed protocols and concurrent systems, involving model checking, symbolic reasoning, and automated consistency verification to ensure correctness and reliability in large-scale distributed applications.
  3. Explore formal methods for AI and LLMs, such as integrating theorem proving with large language models to enhance reasoning capabilities, verify logical consistency, and assist in automated theorem proving tasks.

[New] I am open to academic collaborations and industry opportunities. Please feel free to contact me if you would like to explore any potential cooperation.

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Research ( Show Selected / Show All by Date )

For a complete list of publications, please visit my Google Scholar page. To explore my research by topic, please click the icons below.

SMT Solving

Complete Method

Incomplete Method / Local Search


(*): Equal contribution

Improving NLSAT for Nonlinear Real Arithmetic
Zhonghan Wang
[ASE 2025]
The 40th IEEE/ACM International Conference on Automated Software Engineering

arXiv | code | paper |
Efficient Local Search for Nonlinear Real Arithmetic
Zhonghan Wang, Bohua Zhan, Bohan Li, Shaowei Cai
[VMCAI 2024]
The 25th International Conference on Verification, Model Checking, and Abstract Interpretation

arXiv | code | paper | slides | video |

Intern Experience
Oct 2022 - Aug 2023 Alibaba Group – Alimama Advertising Technology Department, Beijing, China
Research Intern
Service
Artifact Evaluation Committee VMCAI 2025
Selected Awards
Gold medals of Z3++ in SMT-COMP QF_NRA Single Query (main developer) (2022, 2023)
Globalink Research Internship offer (Alberta University, Canada) (2020)
Outstanding Prize for Tianjin College Student Mathematical Competition (Ranked 17) (2018)
Visitors

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