SnR: Constraint-Based Type Inference for Incomplete Java Code Snippets. - Yiwen Dong 002; Tianxiao Gu; Yongqiang Tian 001; Chengnian Sun (ICSE, 2022)

Compilation Consistency Modulo Debug Information. - Theodore Luo Wang; Yongqiang Tian 001; Yiwen Dong 002; Zhenyang Xu; Chengnian Sun (ASPLOS (2), 2023)

Revisiting the Evaluation of Deep Learning-Based Compiler Testing. - Yongqiang Tian 001; Zhenyang Xu; Yiwen Dong 002; Chengnian Sun; Shing-Chi Cheung (IJCAI, 2023)

Ad Hoc Syntax-Guided Program Reduction. - Jia Le Tian; Mengxiao Zhang; Zhenyang Xu; Yongqiang Tian 001; Yiwen Dong 002; Chengnian Sun (ESEC/SIGSOFT FSE, 2023)

Lampr: Boosting the Effectiveness of Language-Generic Program Reduction via Large Language Models. - Mengxiao Zhang; Yongqiang Tian 001; Zhenyang Xu; Yiwen Dong 002; Shin Hwei Tan; Chengnian Sun (CoRR, 2023)

Bash in the Wild: Language Usage, Code Smells, and Bugs. - Yiwen Dong 002; Zheyang Li; Yongqiang Tian 001; Chengnian Sun; Michael W. Godfrey; Meiyappan Nagappan (ACM Trans. Softw. Eng. Methodol., 2023)

LPR: Large Language Models-Aided Program Reduction. - Mengxiao Zhang; Yongqiang Tian 001; Zhenyang Xu; Yiwen Dong 002; Shin Hwei Tan; Chengnian Sun (ISSTA, 2024)

On the Caching Schemes to Speed Up Program Reduction. - Yongqiang Tian 001; Xueyan Zhang; Yiwen Dong 002; Zhenyang Xu; Mengxiao Zhang; Yu Jiang 001; Shing-Chi Cheung; Chengnian Sun (ACM Trans. Softw. Eng. Methodol., 2024)

Beyond Memorization: Evaluating the True Type Inference Capabilities of LLMs for Java Code Snippets. - Yiwen Dong 002; Zhenyang Xu; Yongqiang Tian 001; Chengnian Sun (CoRR, 2025)