Yiran Wang, Ph.D. student, Linköping University

Education

2023.2 -- now
Ph.D. Linköping University in Sweden.
Thesis: Early bug detection and resolution for machine learning programs.
2020.8 -- 2022.6
M.Sc. Statistics and Machine Learning, Linköping University in Sweden.
Thesis: Multivariate time series prediction, a first step to fault prediction of the CI servers.
2009.9 -- 2013.7
B.Eng. Digital Media Technology, BLCU in Beijing, China.
Thesis project: Stop motion "Super M".

2022.9 -- 2023.2
Research assistant, Linköping University (Campus US), Sweden.
2022.1 -- 2022.6
Master thesis student, Veoneer, Linkoping, Sweden.
2017.7 -- 2020.8
Game developer, Perfect world entertainment, Beijing, China.
2013.7 -- 2017.5
Product manager, Fun Plus Game, Beijing, China.

Yiran Wang and José Antonio Hernández López and Ulf Nilsson and Dániel Varró. 2024. Using Run-Time Information to Enhance Static Analysis of Machine Learning Code in Notebooks. Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering. pp. 497–501. Porto de Galinhas, Brazil. FSE 2024. CORE rank: A* DOI
Yiran Wang and Willem Meijer and José Antonio Hernández López and Ulf Nilsson and Dániel Varró. 2025. Why Do Machine Learning Notebooks Crash? An Empirical Study on Public Python Jupyter Notebooks. IEEE Transactions on Software Engineering. pp. 2181-2196 DOI
Yiran Wang and José Antonio Hernández López and Ulf Nilsson and Dániel Varró. 2026. JunoBench: A Benchmark Dataset of Crashes in Python Machine Learning Jupyter Notebooks. Accepted to AIWARE 2026 (co-located with FSE) arXiv
Yiran Wang and José Antonio Hernández López and Ulf Nilsson and Dániel Varró. 2026. CRANE-LLM: Runtime-Augmented LLMs for Crash Prediction and Diagnosis in ML Notebooks. Submitted arXiv
Yiran Wang and Jakob Hoffmann and Jürgen Cito and Dániel Varró. 2026. Beyond Crash Resolution: Evaluating LLM Agents for Repairing Machine Learning Notebooks. Submitted

2023.2 -- now
WASP (Wallenberg AI, Autonomous Systems and Software Program) Graduate School, Sweden.
2023.2 -- now
Software Center (Project 61), Sweden.

2026.4
Quality Assurance for ML Software, presented and hosted Software Center online workshop together with Dániel Varró, Kristian Sandahl, and Willem Meijer in Linköping, Sweden.
2025.11
Why do Machine Learning Notebooks Crash? An Empirical Study on Public Python Jupyter Notebooks, ASE Conference 2025 in Seoul, South Korea.
2025.1
Why ML notebooks Crash, WASP Software Engineering Technology Cluster meeting in Norrköping, Sweden.
2024.12
Why ML Code Crashes and What We Are Going to Do About It, Software Center Reporting Workshop in Gothenburg, Sweden.
2024.7
Using Run-Time Information to Enhance Static Analysis of Machine Learning Code in Notebooks, FSE Conference 2024 in Porto de Galinhas, Brazil.
2024.5
An Empirical Study of ML Bugs in Notebooks, Software Center online workshop.
2024.5
Using Run-Time Information to Enhance Static Analysis of Machine Learning Code in Notebooks, WASP Software Engineering Technology Cluster Workshop in Linköping, Sweden.
2024.1
Using Run-time Information in Static Analysis for ML Bug Detection, Software Center Ericsson Workshop in Linköping, Sweden.
2023.12
Early Detection of Defects in Machine Learning Programs by Semi-Static Analysis, Software Center Reporting Workshop in Gothenburg, Sweden.
2023.9
Early Detection of Defects in Machine Learning Programs by Semi-Static Analysis, ASE 2023 Doctoral Forum in Luxemburg.
2023.3
Quality Assurance of ML Programs, Software Center online workshop.

2026.1
3-Month Research visit to TU Wien, Vienna, Austria.
2024.9
WASP study trip, Germany.
2024.9
Summer school on security testing and verification at the VUB, Brussels, Belgium.
2023.9
WASP study trip, Boston, US.