Interactive Design of 3D Dynamic Gesture Based on SVM-LSTM Model. - Tao Wang; Xiaolong Cai; Liping Wang; Haoye Tian (Int. J. Mob. Hum. Comput. Interact., 2018)

A Music Recommendation System Based on logistic regression and eXtreme Gradient Boosting. - Haoye Tian; Haini Cai; Junhao Wen 001; Shun Li; Yingqiao Li (IJCNN, 2019)

Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair. - Haoye Tian; Kui Liu 001; Abdoul Kader Kaboré; Anil Koyuncu; Li Li 029; Jacques Klein; Tegawendé F. Bissyandé (ASE, 2020)

Checking Patch Behaviour against Test Specification. - Haoye Tian; Yinghua Li; Weiguo Pian; Abdoul Kader Kaboré; Kui Liu 001; Jacques Klein; Tegawendé F. Bissyandé (CoRR, 2021)

Where were the repair ingredients for Defects4j bugs? - Deheng Yang; Kui Liu 001; Dongsun Kim 001; Anil Koyuncu; Kisub Kim; Haoye Tian; Yan Lei; Xiaoguang Mao; Jacques Klein; Tegawendé F. Bissyandé (Empir. Softw. Eng., 2021)

Is this Change the Answer to that Problem?: Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. - Haoye Tian; Xunzhu Tang; Andrew Habib; Shangwen Wang; Kui Liu 001; Xin Xia 001; Jacques Klein; Tegawendé F. Bissyandé (ASE, 2022)

AI-driven Mobile Apps: an Explorative Study. - Yinghua Li; Xueqi Dang; Haoye Tian; Tiezhu Sun; Zhijie Wang 014; Lei Ma 003; Jacques Klein; Tegawendé F. Bissyandé (CoRR, 2022)

Predicting Patch Correctness Based on the Similarity of Failing Test Cases. - Haoye Tian; Yinghua Li; Weiguo Pian; Abdoul Kader Kaboré; Kui Liu 001; Andrew Habib; Jacques Klein; Tegawendé F. Bissyandé (ACM Trans. Softw. Eng. Methodol., 2022)

MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning. - Weiguo Pian; Hanyu Peng; Xunzhu Tang; Tiezhu Sun; Haoye Tian; Andrew Habib; Jacques Klein; Tegawendé F. Bissyandé (AAAI, 2023)

Nuances are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting. - Tsz On Li; Wenxi Zong; Yibo Wang 008; Haoye Tian; Ying Wang 038; Shing-Chi Cheung; Jeff Kramer (ASE, 2023)

App Review Driven Collaborative Bug Finding. - Xunzhu Tang; Haoye Tian; Pingfan Kong; Kui Liu 001; Jacques Klein; Tegawendé F. Bissyandé (CoRR, 2023)

Finding Failure-Inducing Test Cases with ChatGPT. - Tsz On Li; Wenxi Zong; Yibo Wang 008; Haoye Tian; Ying Wang 038; Shing-Chi Cheung; Jeff Kramer (CoRR, 2023)

Is ChatGPT the Ultimate Programming Assistant - How far is it? - Haoye Tian; Weiqi Lu; Tsz On Li; Xunzhu Tang; Shing-Chi Cheung; Jacques Klein; Tegawendé F. Bissyandé (CoRR, 2023)

The Roll-Out of Community Notes Did Not Reduce Engagement With Misinformation on Twitter. - Yuwei Chuai; Haoye Tian; Nicolas Pröllochs; Gabriele Lenzini (CoRR, 2023)

Multilevel Semantic Embedding of Software Patches: A Fine-to-Coarse Grained Approach Towards Security Patch Detection. - Xunzhu Tang; Zhenghan Chen; Saad Ezzini; Haoye Tian; Yewei Song; Jacques Klein; Tegawendé F. Bissyandé (CoRR, 2023)

Hyperbolic Code Retrieval: A Novel Approach for Efficient Code Search Using Hyperbolic Space Embeddings. - Xunzhu Tang; Zhenghan Chen; Saad Ezzini; Haoye Tian; Yewei Song; Jacques Klein; Tegawendé F. Bissyandé (CoRR, 2023)

Just-in-Time Security Patch Detection - LLM At the Rescue for Data Augmentation. - Xunzhu Tang; Zhenghan Chen; Kisub Kim; Haoye Tian; Saad Ezzini; Jacques Klein (CoRR, 2023)

Learning Code Change Semantics for Patch Correctness Assessment in Program Repair. - Haoye Tian (2023)

The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches. - Haoye Tian; Kui Liu 001; Yinghua Li; Abdoul Kader Kaboré; Anil Koyuncu; Andrew Habib; Li Li 029; Junhao Wen 001; Jacques Klein; Tegawendé F. Bissyandé (ACM Trans. Softw. Eng. Methodol., 2023)

CodeAgent: Autonomous Communicative Agents for Code Review. - Xunzhu Tang; Kisub Kim; Yewei Song; Cedric Lothritz; Bei Li; Saad Ezzini; Haoye Tian; Jacques Klein; Tegawendé F. Bissyandé (EMNLP, 2024)

Semantic Patch Embedding for Security Detection: A Fine-to-Coarse Grained Approach. - Xunzhu Tang; Yewei Song; Haoye Tian; Zhenghan Chen; Jacques Klein; Tegawendé F. Bissyandé (Tiny Papers @ ICLR, 2024)

Learning to Represent Patches. - Xunzhu Tang; Haoye Tian; Zhenghan Chen; Weiguo Pian; Saad Ezzini; Abdoul Kader Kaboré; Andrew Habib; Jacques Klein; Tegawendé F. Bissyandé (ICSE Companion, 2024)

CREF: An LLM-Based Conversational Software Repair Framework for Programming Tutors. - Boyang Yang; Haoye Tian; Weiguo Pian; Haoran Yu; Haitao Wang; Jacques Klein; Tegawendé F. Bissyandé; Shunfu Jin (ISSTA, 2024)

LLMs and Prompting for Unit Test Generation: A Large-Scale Evaluation. - Wendkûuni C. Ouédraogo; Abdoul Kader Kaboré; Haoye Tian; Yewei Song; Anil Koyuncu; Jacques Klein; David Lo 001; Tegawendé F. Bissyandé (ASE, 2024)

CodeAgent: Collaborative Agents for Software Engineering. - Daniel Tang; Zhenghan Chen; Kisub Kim; Yewei Song; Haoye Tian; Saad Ezzini; Yongfeng Huang; Jacques Klein; Tegawendé F. Bissyandé (CoRR, 2024)

ACFIX: Guiding LLMs with Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts. - Lyuye Zhang; Kaixuan Li 002; Kairan Sun; Daoyuan Wu; Ye Liu 012; Haoye Tian; Yang Liu 003 (CoRR, 2024)

Multi-Objective Fine-Tuning for Enhanced Program Repair with LLMs. - Boyang Yang; Haoye Tian; Jiadong Ren; Hongyu Zhang; Jacques Klein; Tegawendé F. Bissyandé; Claire Le Goues; Shunfu Jin (CoRR, 2024)

Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models. - Aidan Z. H. Yang; Haoye Tian; He Ye; Ruben Martins; Claire Le Goues (CoRR, 2024)

Large-scale, Independent and Comprehensive study of the power of LLMs for test case generation. - Wendkûuni C. Ouédraogo; Abdoul Kader Kaboré; Haoye Tian; Yewei Song; Anil Koyuncu; Jacques Klein; David Lo 001; Tegawendé F. Bissyandé (CoRR, 2024)

In-Context Code-Text Learning for Bimodal Software Engineering. - Xunzhu Tang; Liran Wang; Yonghui Liu; Linzheng Chai; Jian Yang 030; Zhoujun Li 001; Haoye Tian; Jacques Klein; Tegawendé F. Bissyandé (CoRR, 2024)

When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair. - Wenqiang Luo; Jacky Wai Keung; Boyang Yang; He Ye; Claire Le Goues; Tegawendé F. Bissyandé; Haoye Tian; Bach Le 001 (CoRR, 2024)

Did the Roll-Out of Community Notes Reduce Engagement With Misinformation on X/Twitter? - Yuwei Chuai; Haoye Tian; Nicolas Pröllochs; Gabriele Lenzini (Proc. ACM Hum. Comput. Interact., 2024)

A Cross-Project Defect Prediction Approach Based on Code Semantics and Cross-Version Structural Information. - Yifan Zou; Huiqiang Wang; Hongwu Lv; Shuai Zhao; Haoye Tian (Int. J. Softw. Eng. Knowl. Eng., 2024)

App review driven collaborative bug finding. - Xunzhu Tang; Haoye Tian; Pingfan Kong; Saad Ezzini; Kui Liu 001; Xin Xia 001; Jacques Klein; Tegawendé F. Bissyandé (Empir. Softw. Eng., 2024)

An empirical study of AI techniques in mobile applications. - Yinghua Li; Xueqi Dang; Haoye Tian; Tiezhu Sun; Zhijie Wang 014; Lei Ma 003; Jacques Klein; Tegawendé F. Bissyandé (J. Syst. Softw., 2025)

Correction to: App review driven collaborative bug finding. - Xunzhu Tang; Haoye Tian; Pingfan Kong; Saad Ezzini; Kui Liu 001; Xin Xia 001; Jacques Klein; Tegawendé F. Bissyandé (Empir. Softw. Eng., 2025)

A Systematic Survey on Debugging Techniques for Machine Learning Systems. - Thanh-Dat Nguyen; Haoye Tian; Bach Le 001; Patanamon Thongtanunam; Shane McIntosh (CoRR, 2025)

Enhancing Repository-Level Software Repair via Repository-Aware Knowledge Graphs. - Boyang Yang; Haoye Tian; Jiadong Ren; Shunfu Jin; Yang Liu 003; Feng Liu; Bach Le 001 (CoRR, 2025)

Unlocking LLM Repair Capabilities in Low-Resource Programming Languages Through Cross-Language Translation and Multi-Agent Refinement. - Wenqiang Luo; Jacky Wai Keung; Boyang Yang; Tegawendé F. Bissyandé; Haoye Tian; Bach Le 001 (CoRR, 2025)

A Survey of LLM-based Automated Program Repair: Taxonomies, Design Paradigms, and Applications. - Boyang Yang; Zijian Cai; Fengling Liu; Bach Le 001; Lingming Zhang; Tegawendé F. Bissyandé; Yang Liu 003; Haoye Tian (CoRR, 2025)

Input Reduction Enhanced LLM-based Program Repair. - Boyang Yang; Luyao Ren; Xin Yin; Jiadong Ren; Haoye Tian; Shunfu Jin (CoRR, 2025)

You Don't Have to Say Where to Edit! jLED - Joint Learning to Localize and Edit Source Code. - Weiguo Pian; Yinghua Li; Haoye Tian; Tiezhu Sun; Yewei Song; Xunzhu Tang; Andrew Habib; Jacques Klein; Tegawendé F. Bissyandé (ACM Trans. Softw. Eng. Methodol., 2025)