Mingshuai Chen

Photo of Mingshuai Chen
Address
Room 4230
Ahornstraße 55
D-52074 Aachen

I have become an Assistant Professor leading the Formal Verification Group at Zhejiang University. Check my current homepage here.


Prior to joining ZJU, I worked as a postdoctoral researcher at the Software Modeling and Verification Group headed by Prof. Joost-Pieter Katoen associated with the ERC Advanced Grant Project FRAPPANT: Formal Analysis of Probabilistic Programs. In 2019, I received the Ph.D. degree (with my dissertation titled Verification and Synthesis of Time-Delayed Dynamical Systems) in computer science from the Institute of Software, Chinese Academy of Sciences, under the supervision of Prof. Naijun Zhan and co-supervision of Prof. Martin Fränzle. For detailed information, please check my CV.

Research

I develop formal reasoning techniques for programs and hybrid systems for ensuring the reliability and effectiveness of safety-critical software systems while pushing the limits of automation as far as possible. My primary research interests include

See the bottom of this page for a list of publications. For the list of tools and case studies that I was involved in during my doctoral research, please check my homepage at ISCAS.

You can also find me on
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Thesis/Intern Topics

If you are interested in doing an internship or writing a Bachelor/Master’s thesis in any of the aforementioned topics, don’t hesitate to contact me. You can also check our list of open topics.

Topics Ongoing

Topics Closed

Academic Services

Teaching Assistant

Committee Member

External Reviewer

Journals

Conferences & Workshops

Honors & Awards

Selected Talks

Dissertation Defence

Tutorials

Conferences, Workshops, Seminars & Visits

Publications (till 2019)

Book Chapters

Peer-Reviewed Journal Articles

Peer-Reviewed Conference Papers

Publications (since 2020)

Publications

2026
DOIYangjia Li, Mingshuai Chen, Liangran Zhao, Naijun Zhan, Hui Lu, Guohua Wu, Joost-Pieter Katoen. On termination of polynomial programs with equality conditions, 105487, Elsevier, 2026.
2024
DOILutz Klinkenberg, Christian Blumenthal, Mingshuai Chen, Darion Haase, Joost-Pieter Katoen. Exact Bayesian Inference for Loopy Probabilistic Programs using Generating Functions, 127, ACM, 2024.
2023
DOILutz Klinkenberg, Tobias Winkler, Mingshuai Chen, Joost-Pieter Katoen. Exact Probabilistic Inference Using Generating Functions, 3 Seiten, 2023.
DOIKevin Batz, Mingshuai Chen, Sebastian Junges, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph Matheja. Probabilistic Program Verification via Inductive Synthesis of Inductive Invariants, Tools and Algorithms for the Construction and Analysis of Systems : 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Paris, France, April 22–27, 2023, Proceedings, Part II / edited by Sriram Sankaranarayanan, Natasha Sharygina, 410-429, Springer Nature Switzerland, 2023.
DOIShenghua Feng, Mingshuai Chen, Han Su, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Naijun Zhan. Lower Bounds for Possibly Divergent Probabilistic Programs, 99, ACM, 2023.
DOILutz Klinkenberg, Christian Blumenthal, Mingshuai Chen, Darion Haase, Joost-Pieter Katoen. Exact Bayesian Inference for Loopy Probabilistic Programs using Generating Functions, 54 Seiten, 2023.
2022
DOIMingshuai Chen, Joost-Pieter Katoen, Lutz Klinkenberg, Tobias Winkler. Does a Program Yield the Right Distribution? Verifying Probabilistic Programs via Generating Functions; 1st ed. 2022., Computer Aided Verification : 34th International Conference, CAV 2022, Haifa, Israel, August 7–10, 2022, Proceedings, Part I / edited by Sharon Shoham, Yakir Vizel, 79-101, Springer International Publishing, 2022.
DOIQiuye Wang, Mingshuai Chen, Bai Xue, Naijun Zhan, Joost-Pieter Katoen. Encoding inductive invariants as barrier certificates : Synthesis via difference-of-convex programming, 104965, Elsevier, 2022.
2021
DOIMingshuai Chen, Martin Fränzle, Yangjia Li, Peter N. Mosaad, Naijun Zhan. Indecision and delays are the parents of failure - taming them algorithmically by synthesizing delay-resilient control, 497-528, Springer, 2021.
DOIQiuye Wang, Mingshuai Chen, Bai Xue, Naijun Zhan, Joost-Pieter Katoen. Synthesizing Invariant Barrier Certificates via Difference-of-Convex Programming, Computer-Aided Verification : 33rd International Conference, CAV 2021 : Virtual Event July 20-23, 2021 : Proceedings / Alexandra Silva, Alexandra and K. Rustan M. Leino (Eds.). - Part I, 443-466, Springer, 2021.
DOIKevin Batz, Mingshuai Chen, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph Matheja, Philipp Schröer. Latticed k-Induction with an Application to Probabilistic Programs, Computer-Aided Verification : 33rd International Conference, CAV 2021 : Virtual Eventy July 20-23, 2021 : Proceedings / Alexandra Silva, Alexandra and K. Rustan M. Leino (Eds.). - Part II, 524-549, Springer, 2021.
2020
DOIJie An, Mingshuai Chen, Bohua Zhan, Naijun Zhan, Miaomiao Zhang. Learning One-Clock Timed Automata, Tools and Algorithms for the Construction and Analysis of Systems : 26th International Conference, TACAS 2020, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020, Dublin, Ireland, April 25–30, 2020, Proceedings, Part I / edited by Armin Biere, David Parker, 444-462, Springer International Publishing, 2020.
DOIShenghua Feng, Mingshuai Chen, Bai Xue, Sriram Sankaranarayanan, Naijun Zhan. Unbounded-Time Safety Verification of Stochastic Differential Dynamics, Computer Aided Verification : 32nd International Conference, CAV 2020, Los Angeles, CA, USA, July 21-24, 2020 : Proceedings, Part II / Shuvendu K. Lahiri, Chao Wang (eds), 327-348, Springer, 2020.