Assistant Professor
Department of Computer Science
Aalto University
Address: Tietotekniikantalo, Konemiehentie 2, 02150 Espoo, Finland
Email: haoye.tian 
aalto.fi | tianhaoyemail gmail.com
I am an assistant professor at Aalto University, Finland. I am fortunate to have gained extensive international research experience across leading institutions throughout my academic career. Previously, I was a postdoc at Nanyang Technological University, working with Prof. Yang Liu, and at the University of Melbourne, working with Prof. Bach Le. I obtained my Ph.D. degree from the University of Luxembourg, where I also served as a postdoc under the supervision of Prof. Tegawendé F. Bissyandé and Prof. Jacques Klein. During my post in Luxembourg, I was a visiting scholar with Prof. Claire Le Goues at Carnegie Mellon University and a visiting Ph.D. student with Prof. Shing-Chi Cheung at Hong Kong University of Science and Technology. Before returning to academia, I worked as a machine learning researcher at high-tech giants Tencent and Didi.
Visitors are always welcome.
News 
I am open to collaborations.
Google Scholar / DBLP / ORCID
| Pre-print |
Boyang Yang, Zijian Cai, Fengling Liu, Bach Le, Lingming Zhang, Tegawendé F. Bissyandé, Yang Liu, Haoye Tian*. A Survey of LLM-based Automated Program Repair: Taxonomies, Design Paradigms, and Applications. |
| Pre-print |
Boyang Yang, Haoye Tian*, Jiadong Ren, Shunfu Jin, Yang Liu, Feng Liu, Bach Le. Enhancing Repository-Level Software Repair via Repository-Aware Knowledge Graphs. |
| Pre-print |
Wenqiang Luo, Jacky Wai Keung, Boyang Yang, Jacques Klein, Tegawende F Bissyande, Haoye Tian*, Bach Le. Unlocking LLM Repair Capabilities in Low-Resource Programming Languages Through Cross-Language Translation and Multi-Agent Refinement. |
| TSE'25 |
Lyuye Zhang, Kaixuan Li, Kairan Sun, Daoyuan Wu, Ye Liu, Haoye Tian, Yang Liu. ACFIX: Guiding LLMs with Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts. Transactions on Software Engineering, 2025. |
| TOSEM'25 |
Xunzhu Tang, Kisub Kim, Saad Ezzini, Yewei Song, Haoye Tian*, Jacques Klein, Tegawendé F Bissyandé. Just-in-Time Detection of Silent Security Patches. ACM Transactions on Software Engineering and Methodology, 2025. |
| TOSEM'25 |
Boyang Yang#, Haoye Tian#, Jiadong Ren, Hongyu Zhang, Jacques Klein, Tegawendé F Bissyandé, Claire Le Goues, Shunfu Jin. MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-tuning. ACM Transactions on Software Engineering and Methodology, 2025. |
| TOSEM'25 |
Wenqiang Luo, Jacky Wai Keung, Boyang Yang, He Ye, Claire Le Goues, Tegawende F Bissyande, Haoye Tian*, Bach Le. When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair. ACM Transactions on Software Engineering and Methodology, 2025. |
| TOSEM'25 |
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 ACM Transactions on Software Engineering and Methodology, 2025. |
| EMNLP'24 |
Xunzhu Tang, Kisub Kim, Yewei Song, Cedric Lothritz, Bei Li, Saad Ezzini, Haoye Tian*, Jacques Klein, and Tegawendé F. Bissyandé. CodeAgent: Autonomous Communicative Agents for Code Review. The 2024 Conference on Empirical Methods in Natural Language Processing. |
| ISSTA'24 |
Boyang Yang#, Haoye Tian#, Weiguo Pian, Haoran Yu, Haitao Wang, Jacques Klein, Tegawendé F Bissyandé, Shunfu Jin. CREF: An LLM-based Conversational Software Repair Framework for Programming Tutors. The 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024. |
| CSCW'24 |
Yuwei Chuai, Haoye Tian, Nicolas Pröllochs, and Gabriele Lenzini. Did the Roll-Out of Community Notes Reduce Engagement With Misinformation on X/Twitter? The 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, 2024. |
| ASE'23 |
Tsz-On Li, Wenxi Zong, Yibo Wang, Haoye Tian, Ying Wang, Shing-Chi Cheung. Nuances are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting The 38th IEEE/ACM International Conference on Automated Software Engineering, 2023. |
| AAAI'23 |
Weiguo Pian, Hanyu Peng, Xunzhu Tang, Tiezhu Sun, Haoye Tian*, Andrew Habib, Jacques Klein, Tegawendé F Bissyandé. MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning The 37th AAAI Conference on Artificial Intelligence, 2023. [Acceptance rate: 19.6% (1,721/8,777)] |
| TOSEM'23 |
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 ACM Transactions on Software Engineering and Methodology, 2023. |
| ASE'22 |
Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu*, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé. Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness The 37th IEEE/ACM International Conference on Automated Software Engineering, 2022. [Acceptance rate: 14.8% (78/527)] |
|
TOSEM'22 ICSE'23 JF |
Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kabore, Kui Liu*, Andrew Habib, Jacques Klein, and Tegawendé F. Bissyandé. Predicting Patch Correctness Based on the Similarity of Failing Test Cases ACM Transactions on Software Engineering and Methodology, 2022. |
| ASE'20 |
Haoye Tian, Kui Liu*, Abdoul Kader Kaboré, Anil Koyuncu, Li Li, Jacques Klein, Tegawendé F. Bissyandé. Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair The 35th IEEE/ACM International Conference on Automated Software Engineering, 2020. [Acceptance rate: 22.28% (88/395)] |
| IJCNN'19 |
Haoye Tian, Haini Cai, Junhao Wen, Shun Li, Yingqiao Li. A Music Recommendation System Based on logistic regression and eXtreme Gradient Boosting 2019 International Joint Conference on Neural Networks, Budapest, Hungary, July, 14-19 2019. IEEE. |