Yinghua Li (李英华)   Full Professor Nanjing University of Science and Technology Email: yinghua.li@njust.edu.cn ; yinghuali.cs@gmail.com Github: yinghuali [ORCID][Google Scholar]

Biography

I am a Full Professor at Nanjing University of Science and Technology. Previously, I was a Research Associate at University of Luxembourg working with Prof. Tegawendé F. Bissyandé (ERC Fellow) and Prof. Jacques Klein. I received my PhD degree at University of Luxembourg under the supervision of Prof. Tegawendé F. Bissyandé (ERC Fellow), Prof. Jacques Klein and Prof. Lei Ma. I also worked for several years as a machine learning engineer in the industry.

Research Interests

• Machine Learning Testing
• SE4AI
• AI4SE
• Data Mining

Selected Publications

(# Co-First Author, * Corresponding Author)

• Wendkûuni C. Ouédraogo, Yinghua Li*, Xueqi Dang, Paweł Borsukiewicz, Xin Zhou, Anıl Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé.
  Evaluating LLM-Based Test Refactoring with a Behavior-Preserving Composite Metric.
  Accepted in the 48th International Conference on Software Engineering, Posters Track, 2026. (ICSE)
• Wendkûuni C. Ouédraogo, Yinghua Li*, Xueqi Dang, Paweł Borsukiewicz, Xin Zhou, Anıl Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé.
  From Metrics to Models: Large Language Models as Human-Aligned Code Readability Evaluators.
  Accepted in the 48th International Conference on Software Engineering, Posters Track, 2026. (ICSE)
• Yinghua Li, Xueqi Dang, Jacques Klein, Yves Le Traon, Tegawendé F. Bissyandé.
  PriCod: Prioritizing Test Inputs for Compressed Deep Neural Networks.
  Accepted in ACM Transactions on Software Engineering and Methodology, 2025. (TOSEM, CCF-A)
• Yinghua Li, Xueqi Dang, Wendkûuni C. Ouédraogo, Jacques Klein, Tegawendé F. Bissyandé.
  AudioTest: Prioritizing Audio Test Cases.
  Accepted in the 34th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2025. (ISSTA, CCF-A)
• Yinghua Li, Xueqi Dang, Weiguo Pian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé.
  Test Input Prioritization for Graph Neural Networks.
  Accepted in IEEE Transactions on Software Engineering, 2024. (TSE, CCF-A)
• Yinghua Li, Xueqi Dang, Lei Ma, Jacques Klein, Yves Le Traon, Tegawendé F. Bissyandé.
  Test Input Prioritization for 3D Point Clouds.
  Accepted in ACM Transactions on Software Engineering and Methodology, 2024. (TOSEM, CCF-A)
• Yinghua Li, Xueqi Dang, Lei Ma, Jacques Klein, Tegawendé F. Bissyandé.
  Prioritizing Test Cases for Deep Learning-based Video Classifiers.
  Accepted in Empirical Software Engineering, 2024. (EMSE, CCF-B)
  Accepted in 39th IEEE/ACM International Conference on Automated Software Engineering, Journal-First. (ASE, CCF-A)
• Yinghua Li, Xueqi Dang, Haoye Tian, Tiezhu Sun, Zhijie Wang, Lei Ma, Jacques Klein, Tegawendé F. Bissyandé.
  An Empirical Study of AI Techniques in Mobile Applications.
  Accepted in Journal of Systems and Software, 2024. (JSS, CCF-B)
  
• Xueqi Dang#, Yinghua Li#*, Mike Papadakis, Jacques Klein, Tegawendé F. Bissyandé, Yves Le Traon.
  Test input prioritization for Machine Learning Classifiers.
  Accepted in IEEE Transactions on Software Engineering, 2024. (TSE, CCF-A)
• Xueqi Dang, Yinghua Li*, Mike Papadakis, Jacques Klein, Tegawendé F. Bissyandé, Yves Le Traon.
  GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks.
  Accepted in ACM Transactions on Software Engineering and Methodology, 2023. (TOSEM, CCF-A)
• Xueqi Dang, Yinghua Li*, Wei Ma, Yuejun Guo, Qiang Hu, Mike Papadakis, Maxime Cordy, Yves Le Traon.
  Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study.
  Accepted in Empirical Software Engineering, 2024. (EMSE, CCF-B)
  Accepted in 39th IEEE/ACM International Conference on Automated Software Engineering, Journal-First. (ASE, CCF-A)
• Weiguo Pian#, Yinghua Li#, Haoye Tian, Tiezhu Sun, Yewei Song, Xunzhu Tang, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé.
  You Don’t Have to Say Where to Edit! Joint Learning to Localize and Edit Source Code.
  Accepted in ACM Transactions on Software Engineering and Methodology, 2025. (TOSEM, CCF-A)
  
• Wendkuuni C. Ouédraogo, Yinghua Li*, Xueqi Dang, Xin Zhou, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé.
  Rethinking Cognitive Complexity for Unit Tests: Toward a Readability-Aware Metric Grounded in Developer Perception.
  Accepted in 41st International Conference on Software Maintenance and Evolution, NIER, 2025. (ICSME, CCF-B)
  
• Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kaboré, Kui Liu, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé.
  Predicting Patch Correctness Based on the Similarity of Failing Test Cases.
  Accepted in ACM Transactions on Software Engineering and Methodology, 2022. (TOSEM, CCF-A)
• Haoye Tian, Kui Liu, Yinghua Li, Abdoul Kader Kaboré, Anil Koyuncu, Andrew Habib, Li Li, Junhao Wen, Jacques Klein, Tegawendé F. Bissyandé.
  The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches.
  Accepted in ACM Transactions on Software Engineering and Methodology, 2023. (TOSEM, CCF-A)

Honors & Awards

• January 2026: 紫金青年学者，紫金青年教授
• November 2018: National Scholarship (The award rate is 0.2%)
• November 2018: IBM China Outstanding Student Scholarship (A total of 50 students are selected in China)

Services

Journal Referee

• IEEE Transactions on Software Engineering (JCR-1, CCF-A)
• ACM Transactions on Software Engineering and Methodology (JCR-1, CCF-A)
• IEEE Transactions on Industrial Informatics (JCR-1, SCI-1)
• IEEE Transactions on Reliability (JCR-1, SCI-2)
• Empirical Software Engineering (JCR-1, CCF-B)
• Automated Software Engineering (SCI-2, CCF-B)
• Science of Computer Programming (CCF-B)
• Soft Computing (JCR-2, CCF-C)

Program Committee

• 49th International Conference on Software Engineering
  ICSE 2027, Research Track
• ACM International Conference on the Foundations of Software Engineering
  FSE 2026, Research Track
• 48th International Conference on Software Engineering
  ICSE 2026, Research Track
• 48th International Conference on Software Engineering
  ICSE 2026, Artifact Evaluation Track
• 34th ACM SIGSOFT International Symposium on Software Testing and Analysis
  ISSTA 2025, Tool Demonstrations Track
• 47th International Conference on Software Engineering
  ICSE 2025, Artifact Evaluation Track

External Reviewer

• 34th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2025)
• 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2024)
• 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2023)
• 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022)
• ACM International Conference on the Foundations of Software Engineering (FSE 2022)
• IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022)

Work Experience

• Nanjing University of Science and Technology, China, January 2026 - Present, Full Professor.
• University of Luxembourg, Luxembourg, October 2024 - December 2025, Research Associate.
• University of Luxembourg, Luxembourg, April 2021 - September 2024, Doctoral Researcher.
• BOSS Zhipin, Beijing, October 2020 - November 2020, Machine Learning Engineer.
• Hikvision, Hangzhou, July 2019 - October 2020, Machine Learning Engineer.
• IBM, Beijing, April 2018 - August 2018, Machine Learning Engineer (intern).
• Didi Chuxing, Beijing, November 2017 - April 2018, Machine Learning Engineer (intern).
• Weibo, Beijing, August 2017 - November 2017, Deep Learning Engineer (intern).

Technical Skills

• Machine/Deep Learning Framework
  scikit-learn, PyTorch, TensorFlow, Keras, Geometric, TF Lite, Core ML, LightGBM, XGBoost, PySpark
• Data Processing
  Pandas, Numpy, SciPy, OpenCV
• Data Visualization
  Matplotlib, seaborn, Tableau

© 2026 Yinghua Li