Yinghua Li (李英华)   Research Associate University of Luxembourg Email: yinghua.li@uni.lu; yinghuali@acm.org Github: yinghuali [ORCID][Google Scholar]

Biography

I am a Research Associate at the University of Luxembourg, working with Prof. Tegawendé F. Bissyandé (ERC Fellow) and Prof. Jacques Klein. I completed my PhD degree at the University of Luxembourg under the supervision of Prof. Tegawendé F. Bissyandé (ERC Fellow), Prof. Jacques Klein and Prof. Lei Ma. Before that, I received my Master's degree from Chongqing University, under the supervision of Prof. Jun Zeng. I have worked as a machine learning engineer in the industry for several years.

Research Interests

• Machine Learning Testing
• SE4AI
• AI4SE
• Data Mining

Selected Publications

(# Co-First Author, * Corresponding Author)

• 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)
• 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, 2022. (TOSEM, CCF-A)

Honors & Awards

• 2018: National Scholarship (The award rate is 0.2%)
• 2018: IBM China Outstanding Student Scholarship (A total of 50 students are selected in China)

Services

Journal Referee

• 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)
• Soft Computing (JCR-2, CCF-C)

Program Committee

• The 47th International Conference on Software Engineering (ICSE 2025, Artifact Evaluation Track)

External Reviewer

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

Work Experience

• University of Luxembourg, Luxembourg, October 2024 - Present, 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

© 2024 Yinghua Li