| 2024 | ICLR | ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. | Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton |
| 2024 | ICML | NExT: Teaching Large Language Models to Reason about Code Execution. | Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin |
| 2024 | ICSE | Large Language Models are Edge-Case Generators: Crafting Unusual Programs for Fuzzing Deep Learning Libraries. | Yinlin Deng, Chunqiu Steven Xia, Chenyuan Yang, Shizhuo Dylan Zhang, Shujing Yang, Lingming Zhang |
| 2023 | ICSE | Fuzzing Automatic Differentiation in Deep-Learning Libraries. | Chenyuan Yang, Yinlin Deng, Jiayi Yao, Yuxing Tu, Hanchi Li, Lingming Zhang |
| 2023 | ISSTA | Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models. | Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, Lingming Zhang |
| 2022 | ICSE | Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source. | Anjiang Wei, Yinlin Deng, Chenyuan Yang, Lingming Zhang |