I’m an Assistant Professor with the Department of Management Information Systems at National Chengchi University (NCCU) in Taiwan. Before my journey at NCCU, I was a postdoctoral researcher at Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, and a visiting scholar at Uppsala University and Max Planck Institute for Software Systems. I earned my DPhil/PhD from the University of Oxford and completed my MSc and BSc at National Taiwan University.
Research Interests 🤓
My work involves employing mathematical and logical methods to gain insights into how systems and software behave. Below are some areas I focus on:
- Verification and testing of software and AI systems
- Model checking and automated generation of proofs and programs
- Automated reasoning about modal and temporal logic
To prospective students: Our lab’s research theme for 2025-2027 is the synergy among AI (e.g., NNs and LLMs), automated reasoning, and software engineering. Feel free to contact me if you’re interested in exploring this fascinating research area!
A calendar for conference deadlines 👀
Lab News ✨
Jul 2026 - Congrats to Yi-Hua Chen for winning the Best English Paper Award at the Taiwan Conference on Software Engineering 🎉
Jun 2026 - A paper coauthored with Yen-Pang Chen and Fang Yu has been accepted by Information Processing and Management 💪
Jun 2026 - Congrats to Dong Chen and Chih-Cheng Yang for two papers (Chen’s and Yang’s) accepted at the IEEE International Conference on Software Quality, Reliability, and Security🎉 The acceptance rate is 25.9% this year.
May 2026 - Congrats to Li-Jen Lin for a paper accepted at the IEEE International Conference on Artificial Intelligence Testing🎉 The acceptance rate is 17.3% this year.
Feb 2026 - Gratefully acknowledge the College of Commerce for their support through another 3 years of merit-based research stipend. 😊
Jun 2025 - Congrats to Tze-An Lin for receiving the NSTC Research Grant for University Students 🎉
Apr 2025 - A paper coauthored with Anthony Lin, Philipp Rümmer, and Rupak Majumdar has been accepted by IEEE Transactions on Software Engineering 💪
Jul 2024 - Congrats to Ming-I Huang for her paper winning the Best English Paper Award at the Taiwan Conference on Software Engineering 🎉
Jan 2024 - A paper coauthored with Anthony Lin was published in the Proceedings of the ACM on Programming Languages (POPL) 💪
Selected Publications 🚀
For a complete list, please see my Google Scholar.
- Chih-Duo Hong, Yen-Pang Chen, and Fang Yu, “Signature filtering: a lightweight enhancement for statistical watermark detection in large language models,” Information Processing and Management (IPM), 2026. (preprint) (SCIE, SSCI, IF: 8.1)
- Chih-Duo Hong, Anthony Lin, Philipp Rümmer, and Rupak Majumdar, “Probabilistic Bisimulation for Parameterized Anonymity and Uniformity Verification,” IEEE Transactions on Software Engineering (TSE), 2025. (preprint) (SCIE, IF: 6.0)
- Chih-Duo Hong and Anthony Lin, “Regular Abstractions for Array Systems,” Proceedings of the ACM on Programming Languages (POPL), 2024. (preprint) (ESCI, IF: 3.3)
Manuscripts ✍️
- Chih-Duo Hong, Hongjian Jiang, Anthony Lin, Oliver Markgraf, Julian Parsert, Tony Tan, “Extracting Robust Register Automata from Neural Networks over Data Sequences.” Under review. (preprint)
Services 🤵🏻
- Program committee: ATVA’24, VMCAI’26, LPAR’26, APLAS’26, CAV’26
- SRC/AE committee: CAV’20, APLAS’23
- Conference reviewer: ICALP’24, CAV’24, MFCS’25, AAAI’26, OOPSLA’26, AAAI’27, POPL’27
- Journal reviewer: JAR, SR, IP&M, JoS
- Lecturer: FLOLAC’23, FLOLAC’25
Selected Teaching 👨🏻🏫
- 2026 Fall: Introduction to Computer Science
- 2026 Spring: Advanced Software Development
- 2025 Fall: Software Analysis and Testing
- 2025 Spring: Software Analysis and Testing
- 2024 Fall: Fairness and Explainability in Machine Learning
- 2024 Spring: Special Topics on AI Safety
- 2023 Fall: Process Mining
- 2023 Spring: Fairness and Explainability in Machine Learning
Hobby 😎
I am a Dance Dance Revolution enthusiast. The software I use is Stepmania, and the dance pad I use is Dance mat LTEK EX PRO X. I mostly dance to Anime and K-pop songs 🕺🕺
- My play dashboard 🔮
- Useful links: Zenius, Stepmaniaonline, Etterna, PIU, ITGdb, Reddit
Research 🧐
For PhD Students 🎓
A PhD is an intense yet rewarding personal journey. You are not alone; here is some advice from fellow PhD students and graduates who have walked this path:
- Karl Stratos
- Kevin Gimpel
- Matt Might (“The Illustrated Guide to a Ph.D.”)
- Ben Chugg
Research Skills 🤔
Essential advice on research from leading figures in the field:
- On Doing Research: R. W. Hamming (“You and Your Research”)
- Career Advice: Terence Tao
- How to Speak: Patrick Winston
- How to Do Theory: Ankur Moitra
- How to Read Papers: Aaditya Ramdas
- How to Write Technical Content: John N. Tsitsiklis
- Advice on Various Topics: LeT-All (Learning Theory Alliance)
- How to think like a mathematician Terence Tao
- Mathematics in the Age of AI Terence Tao
Wondering “Why theory/math?” Watch this compelling talk by Fields Medalist Tim Gowers.
Photo
Below are some photos I took during my walk around the campus 🌙✨



