Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source. - Anjiang Wei; Yinlin Deng; Chenyuan Yang; Lingming Zhang 001 (ICSE, 2022)

Fuzzing deep-learning libraries via automated relational API inference. - Yinlin Deng; Chenyuan Yang; Anjiang Wei; Lingming Zhang 001 (ESEC/SIGSOFT FSE, 2022)

Fuzzing Deep-Learning Libraries via Large Language Models. - Yinlin Deng; Chunqiu Steven Xia; Haoran Peng; Chenyuan Yang; Lingming Zhang 001 (CoRR, 2022)

Coverage-guided tensor compiler fuzzing with joint IR-pass mutation. - Jiawei Liu 004; Yuxiang Wei 003; Sen Yang; Yinlin Deng; Lingming Zhang 001 (Proc. ACM Program. Lang., 2022)

Fuzzing Automatic Differentiation in Deep-Learning Libraries. - Chenyuan Yang; Yinlin Deng; Jiayi Yao; Yuxing Tu; Hanchi Li; Lingming Zhang 001 (ICSE, 2023)

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 001 (ISSTA, 2023)

Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT. - Yinlin Deng; Chunqiu Steven Xia; Chenyuan Yang; Shizhuo Dylan Zhang; Shujing Yang; Lingming Zhang 001 (CoRR, 2023)

White-box Compiler Fuzzing Empowered by Large Language Models. - Chenyuan Yang; Yinlin Deng; Runyu Lu; Jiayi Yao; Jiawei Liu 004; Reyhaneh Jabbarvand; Lingming Zhang 001 (CoRR, 2023)

ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. - Kensen Shi; Joey Hong; Yinlin Deng; Pengcheng Yin; Manzil Zaheer; Charles Sutton (ICLR, 2024)

NExT: Teaching Large Language Models to Reason about Code Execution. - Ansong Ni; Miltiadis Allamanis; Arman Cohan; Yinlin Deng; Kensen Shi; Charles Sutton; Pengcheng Yin (ICML, 2024)

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 001 (ICSE, 2024)

Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs? - Yinlin Deng; Chunqiu Steven Xia; Zhezhen Cao; Meiziniu Li; Lingming Zhang 001 (NeurIPS, 2024)

Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM. - Chunqiu Steven Xia; Yinlin Deng; Lingming Zhang 001 (CoRR, 2024)

Agentless: Demystifying LLM-based Software Engineering Agents. - Chunqiu Steven Xia; Yinlin Deng; Soren Dunn; Lingming Zhang 001 (CoRR, 2024)

WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models. - Chenyuan Yang; Yinlin Deng; Runyu Lu; Jiayi Yao; Jiawei Liu 004; Reyhaneh Jabbarvand; Lingming Zhang 001 (Proc. ACM Program. Lang., 2024)

Demystifying LLM-Based Software Engineering Agents. - Chunqiu Steven Xia; Yinlin Deng; Soren Dunn; Lingming Zhang 001 (Proc. ACM Softw. Eng., 2025)

PurpCode: Reasoning for Safer Code Generation. - Jiawei Liu 004; Nirav Diwan; Zhe Wang; Haoyu Zhai; Xiaona Zhou; Kiet A. Nguyen; Tianjiao Yu; Muntasir Wahed; Yinlin Deng; Hadjer Benkraouda; Yuxiang Wei 003; Lingming Zhang 001; et al. (CoRR, 2025)