| The best of both worlds: Combining learned embeddings with engineered features for accurate prediction of correct patches H Tian, K Liu, Y Li, AK Kaboré, A Koyuncu, A Habib, L Li, J Wen, J Klein, ... ACM Transactions on Software Engineering and Methodology 32 (4), 1-34, 2023 | 36 | 2023 |
| Predicting Patch Correctness Based on the Similarity of Failing Test Cases H Tian, Y Li, W Pian, AK Kaboré, K Liu, J Klein, TF Bissyande ACM Transactions on Software Engineering and Methodology 31 (4), 2022 | 33 | 2022 |
| GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks X Dang, Y Li, M Papadakis, J Klein, TF Bissyandé, YLE Traon ACM Transactions on Software Engineering and Methodology 33 (1), 1-40, 2023 | 16 | 2023 |
| AI-driven Mobile Apps: an Explorative Study Y Li, X Dang, H Tian, T Sun, Z Wang, L Ma, J Klein, TF Bissyandé arXiv preprint arXiv:2212.01635, 2022 | 13 | 2022 |
| Test input prioritization for machine learning classifiers X Dang, Y Li, M Papadakis, J Klein, TF Bissyandé, Y Le Traon IEEE Transactions on Software Engineering 50 (3), 413-442, 2024 | 10 | 2024 |
| A Deep Learning Model Based on Sparse Matrix for Point-of-Interest Recommendation. J Zeng, H Tang, Y Li, X He SEKE, 379-492, 2019 | 7 | 2019 |
| A point-of-interest recommendation method using location similarity J Zeng, Y Li, F Li, J Wen, S Hirokawa 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI …, 2017 | 7 | 2017 |
| Test Input Prioritization for 3D Point Clouds Y Li, X Dang, L Ma, J Klein, YLE Traon, TF Bissyandé ACM Transactions on Software Engineering and Methodology, 2024 | 6 | 2024 |
| A point of interest recommendation method using user similarity J Zeng, X He, Y Li, J Wen, W Zhou Web Intelligence 16 (2), 105-112, 2018 | 6 | 2018 |
| Exploring the influence of contexts for mobile recommendation J Zeng, F Li, Y Li, J Wen, Y Wu International Journal of Web Services Research (IJWSR) 14 (4), 33-49, 2017 | 4 | 2017 |
| Time-slot-based point of interest recommendation on location-based social network J Zeng, Y Li, F Li, X He, J Wen International Journal of Internet Manufacturing and Services 5 (2-3), 157-168, 2018 | 3 | 2018 |
| Towards exploring the limitations of test selection techniques on graph neural networks: An empirical study X Dang, Y Li, W Ma, Y Guo, Q Hu, M Papadakis, M Cordy, YL Traon Empirical Software Engineering 29 (5), 112, 2024 | 2 | 2024 |
| Test input prioritization for graph neural networks Y Li, X Dang, W Pian, A Habib, J Klein, T Bissyandé IEEE Transactions on Software Engineering, 2024 | 2 | 2024 |
| Checking patch behaviour against test specification H Tian, Y Li, W Pian, AK Kaboré, K Liu, J Klein, TF Bissyande arXiv preprint arXiv:2107.13296, 2021 | 2 | 2021 |
| Prioritizing test cases for deep learning-based video classifiers Y Li, X Dang, L Ma, J Klein, TF Bissyandé Empirical Software Engineering 29 (5), 111, 2024 | 1 | 2024 |
| You Don’t Have to Say Where to Edit! jLED–Joint Learning to Localize and Edit Source Code W Pian, Y Li, H Tian, T Sun, Y Song, X Tang, A Habib, J Klein, ... ACM Transactions on Software Engineering and Methodology, 2025 | | 2025 |
| An empirical study of AI techniques in mobile applications Y Li, X Dang, H Tian, T Sun, Z Wang, L Ma, J Klein, TF Bissyandé Journal of Systems and Software 219, 112233, 2025 | | 2025 |
| Test smells in LLM-Generated Unit Tests WC Ouédraogo, Y Li, K Kaboré, X Tang, A Koyuncu, J Klein, D Lo, ... arXiv preprint arXiv:2410.10628, 2024 | | 2024 |