A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning. - Fang Liu 032; Ge Li 001; Bolin Wei; Xin Xia 001; Zhiyi Fu; Zhi Jin (ICPC, 2020)

Multi-task Learning based Pre-trained Language Model for Code Completion. - Fang Liu 032; Ge Li 001; Yunfei Zhao; Zhi Jin (ASE, 2020)

Modeling programs hierarchically with stack-augmented LSTM. - Fang Liu 032; Lu Zhang; Zhi Jin (J. Syst. Softw., 2020)

Learning to Recommend Method Names with Global Context. - Fang Liu 032; Ge Li 001; Zhiyi Fu; Shuai Lu; Yiyang Hao; Zhi Jin (ICSE, 2022)

Non-autoregressive Model for Full-line Code Completion. - Fang Liu 032; Zhiyi Fu; Ge Li 001; Zhi Jin; Hui Liu 003; Yiyang Hao (CoRR, 2022)

A unified multi-task learning model for AST-level and token-level code completion. - Fang Liu 032; Ge Li 001; Bolin Wei; Xin Xia 001; Zhiyi Fu; Zhi Jin (Empir. Softw. Eng., 2022)

Syntax and Domain Aware Model for Unsupervised Program Translation. - Fang Liu 032; Jia Li 012; Li Zhang 029 (ICSE, 2023)

MCodeSearcher: Multi-View Contrastive Learning for Code Search. - Jia Li 012; Fang Liu 032; Jia Li 011; Yunfei Zhao; Ge Li 001; Zhi Jin (Internetware, 2023)

ZC3: Zero-Shot Cross-Language Code Clone Detection. - Jia Li 012; Chongyang Tao; Zhi Jin; Fang Liu 032; Jia Li 011; Ge Li 001 (ASE, 2023)

ZC3: Zero-Shot Cross-Language Code Clone Detection. - Jia Li 012; Chongyang Tao; Zhi Jin; Fang Liu 032; Jia Li 011; Ge Li 001 (CoRR, 2023)

Large Language Model-Aware In-Context Learning for Code Generation. - Jia Li 012; Ge Li 001; Chongyang Tao; Jia Li 011; Huangzhao Zhang; Fang Liu 032; Zhi Jin (CoRR, 2023)

AdaComplete: improve DL-based code completion method's domain adaptability. - Zejun Wang; Fang Liu 032; Yiyang Hao; Zhi Jin (Autom. Softw. Eng., 2023)

A Survey on Natural Language Processing for Programming. - Qingfu Zhu; Xianzhen Luo; Fang Liu 032; Cuiyun Gao; Wanxiang Che (LREC/COLING, 2024)

Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models. - Xiaoli Lian; Shuaisong Wang; Jieping Ma; Xin Tan 003; Fang Liu 032; Lin Shi 006; Cuiyun Gao; Li Zhang 029 (ICSE Companion, 2024)

FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments. - Fang Liu 032; Zhenwei Liu; Qianhui Zhao; Jing Jiang 005; Li Zhang 029; Zian Sun; Ge Li 001; Zhongqi Li; Yuchi Ma (ASE, 2024)

Enhancing Automated Program Repair with Solution Design. - Jiuang Zhao; Donghao Yang; Li Zhang 029; Xiaoli Lian; Zitian Yang; Fang Liu 032 (ASE, 2024)

Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study. - Shuo Liu; Jacky Keung; Zhen Yang 022; Fang Liu 032; Qilin Zhou; Yihan Liao (SANER, 2024)

Challenges of Using Pre-trained Models: the Practitioners' Perspective. - Xin Tan 003; Taichuan Li; Ruohe Chen; Fang Liu 032; Li Zhang 029 (SANER, 2024)

Deep learning for code generation: a survey. - Huangzhao Zhang; Kechi Zhang; Zhuo Li; Jia Li; Jia Li; Yongmin Li; Yunfei Zhao; Yuqi Zhu; Fang Liu 032; Ge Li 001; Zhi Jin (Sci. China Inf. Sci., 2024)

Exploring and Evaluating Hallucinations in LLM-Powered Code Generation. - Fang Liu 032; Yang Liu 003; Lin Shi 006; Houkun Huang; Ruifeng Wang; Zhen Yang 022; Li Zhang 029 (CoRR, 2024)

Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments. - Qianhui Zhao; Fang Liu 032; Li Zhang 029; Yang Liu 003; Zhen Yan; Zhenghao Chen; Yufei Zhou; Jing Jiang 005; Ge Li 001 (CoRR, 2024)

Uncovering Weaknesses in Neural Code Generation. - Xiaoli Lian; Shuaisong Wang; Jieping Ma; Fang Liu 032; Xin Tan 003; Li Zhang 029; Lin Shi 006; Cuiyun Gao (CoRR, 2024)

A Multi-Agent Framework for Extensible Structured Text Generation in PLCs. - Donghao Yang; Aolang Wu; Tianyi Zhang; Li Zhang 029; Fang Liu 032; Xiaoli Lian; Yuming Ren; Jiaji Tian (CoRR, 2024)

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation. - Zhen Yang 022; Fang Liu 032; Zhongxing Yu; Jacky Wai Keung; Jia Li 011; Shuo Liu; Yifan Hong; Xiaoxue Ma; Zhi Jin; Ge Li 001 (Proc. ACM Softw. Eng., 2024)

Non-Autoregressive Line-Level Code Completion. - Fang Liu 032; Zhiyi Fu; Ge Li 001; Zhi Jin; Hui Liu 003; Yiyang Hao; Li Zhang 029 (ACM Trans. Softw. Eng. Methodol., 2024)

Exploring continual learning in code intelligence with domain-wise distilled prompts. - Shuo Liu; Jacky Keung; Zhen Yang 022; Fang Liu 032; Fengji Zhang; Yicheng Sun (Inf. Softw. Technol., 2025)

Incorporating Verification Standards for Security Requirements Generation from Functional Specifications. - Xiaoli Lian; Shuaisong Wang; Hanyu Zou; Fang Liu 032; Jiajun Wu 004; Li Zhang 029 (Proc. ACM Softw. Eng., 2025)

PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing. - Yuwei Zhang 003; Zhi Jin; Ying Xing; Ge Li 001; Fang Liu 032; Jiaxin Zhu; Wensheng Dou; Jun Wei 001 (CoRR, 2025)

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding. - Jia Li; Xuyuan Guo; Lei Li; Kechi Zhang; Ge Li 001; Jia Li; Zhengwei Tao; Fang Liu 032; Chongyang Tao; Yuqi Zhu; Zhi Jin (CoRR, 2025)

CodeRAG: Supportive Code Retrieval on Bigraph for Real-World Code Generation. - Jia Li 011; Xianjie Shi; Kechi Zhang; Lei Li; Ge Li 001; Zhengwei Tao; Jia Li 012; Fang Liu 032; Chongyang Tao; Zhi Jin (CoRR, 2025)

SCodeSearcher: soft contrastive learning for code search. - Jia Li; Zheng Fang; Xianjie Shi; Zhi Jin; Fang Liu 032; Jia Li; Yunfei Zhao; Ge Li 001 (Empir. Softw. Eng., 2025)

On the Applicability of Code Language Models to Scientific Computing Programs. - Qianhui Zhao; Fang Liu 032; Xiao Long; Chengru Wu; Li Zhang 029 (IEEE Trans. Software Eng., 2025)

Large Language Model-Aware In-Context Learning for Code Generation. - Jia Li 012; Chongyang Tao; Jia Li Male; Ge Li 001; Zhi Jin; Huangzhao Zhang; Zheng Fang; Fang Liu 032 (ACM Trans. Softw. Eng. Methodol., 2025)