Address: 700 Swanston St, Carlton VIC 3053, Australia
Email: tianhaoyemail 
gmail.com
Twitter: Haoye TIAN
I am a postdoctoral fellow in the School of Computing and Information Systems at University of Melbourne , working with Prof. Bach Le. Prior to that, I was a postdoctoral researcher and pursued my Ph.D. degree in the SnT, University of Luxembourg under the supervision of Prof. Tegawendé F. Bissyandé and Prof. Jacques Klein. During my post in Luxembourg, I visited and collaborated with Prof. Claire Le Goues as a visiting scholar at Carnegie Mellon University, and Prof. Shing-Chi Cheung as a visiting Ph.D. student at Hong Kong University of Science and Technology. I worked as a machine learning researcher at Tencent and Didi.
Research interests:
Google Scholar / DBLP / ORCID
News 
| Pre-print |
Haoye Tian, Weiqi Lu, Tsz On Li, Xunzhu Tang, Shing-Chi Cheung, Jacques Klein, Tegawendé F. Bissyandé. Is ChatGPT the Ultimate Programming Assistant-How far is it? |
| EMNLP'24 |
Daniel 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. |