[C10] EMNLP 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.
[C9] ISSTA 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.
[C8] CSCW 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.
[C7] ICSE Posters Xunzhu Tang, Haoye Tian*, Zhenghan Chen, Weiguo Pian, Saad Ezzini, Abdoul Kader Kabore, Andrew Habib, Jacques Klein, Tegawende F. Bissyande. Learning to Represent Patches. The 46th International Conference on Software Engineering: Companion Proceedings, 2024.
[C6] ICLR Tiny Xunzhu Tang, Yewei Song, Haoye Tian, Zhenghan Chen, Jacques Klein, Tegawendé F. Bissyandé Semantic Patch Embedding for Security Detection: A Fine-to-Coarse Grained Approach. The 12th International Conference on Learning Representations, 2024.
[J6] IJSEKE Yifan Zou, Huiqiang Wang, Hongwu Lv, Shuai Zhao, Haoye Tian. A Cross-Project Defect Prediction Approach Based on Code Semantics and Cross-Version Structural Information International Journal of Software Engineering and Knowledge Engineering, 2024.
[J5] EMSE Xunzhu Tang, Haoye Tian*, Pingfan Kong, Saad Ezzini, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F Bissyande. App Review Driven Collaborative Bug Finding. In Journal of Empirical Software Engineering 2024.
[C5] ASE 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.
[C4] AAAI 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)]
[J4] TOSEM 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. [pdf] [code]
[C3] ASE 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)] [pdf] [code]
[J3] TOSEM / 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. [pdf] [code]
[J2] EMSE Deheng Yang, Kui Liu*, Dongsun Kim, Anil Koyuncu, Kisub Kim, Haoye Tian, Yan Lei, Xiaoguang Mao, Jacques Klein and Tegawendé F. Bissyandé. Where Were the Repair Ingredients for Defects4J Bugs? Exploring the Impact of Repair Ingredient Retrieval on the Performance of 24 Program Repair Systems. In Journal of Empirical Software Engineering 2021. [pdf] [bib]
[C2] ASE 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)] [pdf] [bib] [code]
[C1] IJCNN 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. [pdf] [bib] [code]
[J1] IJMHCI Tao Wang, Xiaolong Cai, Liping Wang, Haoye Tian. Interactive Design of 3D Dynamic Gesture Based on SVM-LSTM Model. International Journal of Mobile Human Computer Interaction, 2018.