Req2Lib: A Semantic Neural Model for Software Library Recommendation. - Zhensu Sun; Yan Liu; Ziming Cheng; Chen Yang; Pengyu Che (SANER, 2020)

PSCS: A Path-based Neural Model for Semantic Code Search. - Zhensu Sun; Yan Liu; Chen Yang; Yu Qian (CoRR, 2020)

On the Importance of Building High-quality Training Datasets for Neural Code Search. - Zhensu Sun; Li Li 091; Yan Liu; Xiaoning Du 001; Li Li 029 (ICSE, 2022)

CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning. - Zhensu Sun; Xiaoning Du 001; Fu Song; Mingze Ni; Li Li 029 (WWW, 2022)

Learning to Prevent Profitless Neural Code Completion. - Zhensu Sun; Xiaoning Du 001; Fu Song; Shangwen Wang; Mingze Ni; Li Li 029 (CoRR, 2022)

Fraud's Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling (Student Abstract). - Mingze Ni; Zhensu Sun; Wei Liu 007 (AAAI, 2023)

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems. - Zhensu Sun; Xiaoning Du 001; Fu Song; Shangwen Wang; Mingze Ni; Li Li 029 (ICSE Companion, 2023)

CodeMark: Imperceptible Watermarking for Code Datasets against Neural Code Completion Models. - Zhensu Sun; Xiaoning Du 001; Fu Song; Li Li 029 (ESEC/SIGSOFT FSE, 2023)

Natural Language to Code: How Far Are We? - Shangwen Wang; Mingyang Geng; Bo Lin; Zhensu Sun; Ming Wen 001; Yepang Liu 001; Li Li 029; Tegawendé F. Bissyandé; Xiaoguang Mao (ESEC/SIGSOFT FSE, 2023)

Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process. - Mingze Ni; Zhensu Sun; Wei Liu 007 (CoRR, 2023)

Data Augmentation Approaches for Source Code Models: A Survey. - Terry Yue Zhuo; Zhou Yang 003; Zhensu Sun; Yufei Wang; Li Li 029; Xiaoning Du 001; Zhenchang Xing; David Lo 001 (CoRR, 2023)

Two Birds with One Stone: Boosting Code Generation and Code Search via a Generative Adversarial Network. - Shangwen Wang; Bo Lin; Zhensu Sun; Ming Wen 001; Yepang Liu 001; Yan Lei; Xiaoguang Mao (Proc. ACM Program. Lang., 2023)

When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference. - Zhensu Sun; Xiaoning Du 001; Fu Song; Shangwen Wang; Li Li 029 (ICSE, 2024)

FDI: Attack Neural Code Generation Systems through User Feedback Channel. - Zhensu Sun; Xiaoning Du 001; Xiapu Luo; Fu Song; David Lo 001; Li Li 029 (ISSTA, 2024)

AI Coders Are among Us: Rethinking Programming Language Grammar towards Efficient Code Generation. - Zhensu Sun; Xiaoning Du 001; Zhou Yang 003; Li Li 029; David Lo 001 (ISSTA, 2024)

Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code. - Zhou Yang 003; Zhensu Sun; Terry Yue Zhuo; Premkumar T. Devanbu; David Lo 001 (CoRR, 2024)

LLM as Runtime Error Handler: A Promising Pathway to Adaptive Self-Healing of Software Systems. - Zhensu Sun; Haotian Zhu; Bowen Xu; Xiaoning Du 001; Li Li 029; David Lo 001 (CoRR, 2024)

Fraud's Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process. - Mingze Ni; Zhensu Sun; Wei Liu 007 (IEEE Trans. Knowl. Data Eng., 2024)

Fusing Code Searchers. - Shangwen Wang; Mingyang Geng; Bo Lin; Zhensu Sun; Ming Wen 001; Yepang Liu 001; Li Li 029; Tegawendé F. Bissyandé; Xiaoguang Mao (IEEE Trans. Software Eng., 2024)

Reversible jump attack to textual classifiers with modification reduction. - Mingze Ni; Zhensu Sun; Wei Liu 007 (Mach. Learn., 2024)

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems. - Zhensu Sun; Xiaoning Du 001; Fu Song; Shangwen Wang; Mingze Ni; Li Li 029; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2025)

Think Like Human Developers: Harnessing Community Knowledge for Structured Code Reasoning. - Chengran Yang; Zhensu Sun; Hong Jin Kang; Jieke Shi; David Lo 001 (CoRR, 2025)

The Hidden Cost of Readability: How Code Formatting Silently Consumes Your LLM Budget. - Dangfeng Pan; Zhensu Sun; Cenyuan Zhang; David Lo 001; Xiaoning Du 001 (CoRR, 2025)