| 2026 | MSR | How do Agents Refactor: An Empirical Study. | Lukas Ottenhof, Daniel Penner, Abram Hindle, Thibaud Lutellier |
| 2025 | ESEM | Exploring the Jupyter Ecosystem: An Empirical Study of Bugs and Vulnerabilities. | Wenyuan Jiang, Diany Pressato, Harsh Darji, Thibaud Lutellier |
| 2023 | ICSE | Impact of Code Language Models on Automated Program Repair. | Nan Jiang, Kevin Liu, Thibaud Lutellier, 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 |
| 2023 | ISSTA | How Effective Are Neural Networks for Fixing Security Vulnerabilities. | Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah |
| 2022 | ICSE | EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries. | Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, Lin Tan |
| 2021 | ICSE | CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. | Nan Jiang, Thibaud Lutellier, Lin Tan |
| 2020 | ISSTA | CoCoNuT: combining context-aware neural translation models using ensemble for program repair. | Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan |
| 2019 | ICSE | CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries. | Hung Viet Pham, Thibaud Lutellier, Weizhen Qi, Lin Tan |
| 2015 | ICSE | Comparing Software Architecture Recovery Techniques Using Accurate Dependencies. | Thibaud Lutellier, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic, Robert Kroeger |