| 2026 | AAAI | Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-Based Test Oracles. | Zihao Xu, Junchen Ding, Yiling Lou, Kun Zhang, Dong Gong, Yuekang Li |
| 2026 | AAAI | BAMAS: Structuring Budget-Aware Multi-Agent Systems. | Liming Yang, Junyu Luo, Xuanzhe Liu, Yiling Lou, Zhenpeng Chen |
| 2026 | ACL | EET: Experience-Driven Early Termination for Cost-Efficient Software Engineering Agents. | Yaoqi Guo, Ying Xiao, Jie M. Zhang, Mark Harman, Yiling Lou, Yang Liu, Zhenpeng Chen |
| 2026 | ACL | Taming System Complexity: Demystifying Software Engineering Agents in Diagnosing Linux Kernel Faults. | Zhenhao Zhou, Zhuochen Huang, Yike He, Chong Wang, Jiajun Wang, Yijian Wu, Xin Peng, Yiling Lou |
| 2025 | ACL | Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories. | Alperen Yildiz, Sin G. Teo, Yiling Lou, Yebo Feng, Chong Wang, Dinil Mon Divakaran |
| 2025 | ICSE | TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference. | Chong Wang, Jian Zhang, Yiling Lou, Mingwei Liu, Weisong Sun, Yang Liu, Xin Peng |
| 2025 | ICSE | Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention Inference. | Chong Wang, Jianan Liu, Xin Peng, Yang Liu, Yiling Lou |
| 2024 | ICSE | Evaluating Large Language Models in Class-Level Code Generation. | Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou |
| 2023 | ICSE | Revisiting Learning-based Commit Message Generation. | Jinhao Dong, Yiling Lou, Dan Hao, Lin Tan |
| 2023 | ICSE | KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. | Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang |
| 2022 | ICSE | FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation. | Jinhao Dong, Yiling Lou, Qihao Zhu, Zeyu Sun, Zhilin Li, Wenjie Zhang, Dan Hao |
| 2022 | ICSE | Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning. | Hao Yu, Yiling Lou, Ke Sun, Dezhi Ran, Tao Xie, Dan Hao, Ying Li, Ge Li, Qianxiang Wang |
| 2021 | ICSE | An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. | Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu |
| 2020 | ISSTA | Can automated program repair refine fault localization? a unified debugging approach. | Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Haotian Zhang, Dan Hao, Lu Zhang |
| 2019 | ISSTA | History-driven build failure fixing: how far are we? | Yiling Lou, Junjie Chen, Lingming Zhang, Dan Hao, Lu Zhang |
| 2016 | ICSE | How does regression test prioritization perform in real-world software evolution? | Yafeng Lu, Yiling Lou, Shiyang Cheng, Lingming Zhang, Dan Hao, Yangfan Zhou, Lu Zhang |
| 2015 | ISSRE | Mutation-based test-case prioritization in software evolution. | Yiling Lou, Dan Hao, Lu Zhang |