Learning to Represent Programs with Heterogeneous Graphs. - Wenhan Wang; Kechi Zhang; Ge Li 001; Zhi Jin (CoRR, 2020)

Learning to represent programs with heterogeneous graphs. - Kechi Zhang; Wenhan Wang; Huangzhao Zhang; Ge Li 001; Zhi Jin (ICPC, 2022)

What does Transformer learn about source code? - Kechi Zhang; Ge Li 001; Zhi Jin (CoRR, 2022)

A Tree-structured Transformer for Program Representation Learning. - Wenhan Wang; Kechi Zhang; Ge Li 001; Shangqing Liu; Zhi Jin; Yang Liu 003 (CoRR, 2022)

Self-Edit: Fault-Aware Code Editor for Code Generation. - Kechi Zhang; Zhuo Li; Jia Li 011; Ge Li 001; Zhi Jin (ACL (1), 2023)

Interpretation-based Code Summarization. - Mingyang Geng; Shangwen Wang; Dezun Dong; Haotian Wang 001; Shaomeng Cao; Kechi Zhang; Zhi Jin (ICPC, 2023)

Implant Global and Local Hierarchy Information to Sequence based Code Representation Models. - Kechi Zhang; Zhuo Li; Zhi Jin; Ge Li 001 (ICPC, 2023)

Learning Program Representations with a Tree-Structured Transformer. - Wenhan Wang; Kechi Zhang; Ge Li 001; Shangqing Liu; Anran Li 001; Zhi Jin; Yang Liu 003 (SANER, 2023)

ToolCoder: Teach Code Generation Models to use API search tools. - Kechi Zhang; Ge Li 001; Jia Li 011; Zhuo Li; Zhi Jin (CoRR, 2023)

CodeEditor: Learning to Edit Source Code with Pre-trained Models. - Jia Li 011; Ge Li 001; Zhuo Li; Zhi Jin; Xing Hu 008; Kechi Zhang; Zhiyi Fu (ACM Trans. Softw. Eng. Methodol., 2023)

HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position. - Kechi Zhang; Ge Li 001; Huangzhao Zhang; Zhi Jin (ACL (1), 2024)

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges. - Kechi Zhang; Jia Li 012; Ge Li 001; Xianjie Shi; Zhi Jin (ACL (1), 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)

HiRoPE: Length Extrapolation for Code Models. - Kechi Zhang; Ge Li 001; Huangzhao Zhang; Zhi Jin (CoRR, 2024)

FAN: Fourier Analysis Networks. - Yihong Dong; Ge Li 001; Yongding Tao; Xue Jiang; Kechi Zhang; Jia Li 012; Jing Su; Jun Zhang; Jingjing Xu (CoRR, 2024)

aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Completion. - Siyuan Jiang; Jia Li 012; He Zong; Huanyu Liu; Hao Zhu; Shukai Hu; Erlu Li; Jiazheng Ding; Yu Han; Wei Ning; Gen Wang; Yihong Dong; et al. (CoRR, 2024)

Revisit Self-Debugging with Self-Generated Tests for Code Generation. - Xiancai Chen; Zhengwei Tao; Kechi Zhang; Changzhi Zhou; Xinyu Zhang; Wanli Gu; Yuanpeng He; Mengdi Zhang; Xunliang Cai; Haiyan Zhao 001; Zhi Jin (ACL (1), 2025)

Benchmarking Long-Context Language Models on Long Code Understanding. - Jia Li; Xuyuan Guo; Lei Li; Kechi Zhang; Ge Li; Zhengwei Tao; Fang Liu; Chongyang Tao; Yuqi Zhu; Zhi Jin (ACL (1), 2025)

CodeDPO: Aligning Code Models with Self Generated and Verified Source Code. - Kechi Zhang; Ge Li 001; Yihong Dong; Jingjing Xu; Jun Zhang; Jing Su; Yongfei Liu; Zhi Jin (ACL (1), 2025)

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points. - Kechi Zhang; Ge Li 001; Jia Li 011; Yihong Dong; Zhi Jin (ACL (Findings), 2025)

Revisit Self-Debugging with Self-Generated Tests for Code Generation. - Xiancai Chen; Zhengwei Tao; Kechi Zhang; Changzhi Zhou; Wanli Gu; Yuanpeng He; Mengdi Zhang; Xunliang Cai; Haiyan Zhao 001; Zhi Jin (CoRR, 2025)

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points. - Kechi Zhang; Ge Li 001; Jia Li; Yihong Dong; Jia Li; Zhi Jin (CoRR, 2025)

FANformer: Improving Large Language Models Through Effective Periodicity Modeling. - Yihong Dong; Ge Li 001; Xue Jiang; Yongding Tao; Kechi Zhang; Hao Zhu; Huanyu Liu; Jiazheng Ding; Jia Li 012; Jinliang Deng; Hong Mei 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)

aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion. - Jia Li 012; Hao Zhu; Huanyu Liu; Xianjie Shi; He Zong; Yihong Dong; Kechi Zhang; Siyuan Jiang; Zhi Jin; Ge Li 001 (CoRR, 2025)

SEAlign: Alignment Training for Software Engineering Agent. - Kechi Zhang; Huangzhao Zhang; Ge Li 001; Jinliang You; Jia Li; Yunfei Zhao; Zhi Jin (CoRR, 2025)

Transformer-based code model with compressed hierarchy representation. - Kechi Zhang; Jia Li; Zhuo Li; Zhi Jin; Ge Li 001 (Empir. Softw. Eng., 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)

SATURN: SAT-based Reinforcement Learning to Unleash Language Model Reasoning. - Huanyu Liu; Jia Li; Hao Zhu; Kechi Zhang; Yihong Dong; Ge Li 001 (CoRR, 2025)

Computational Thinking Reasoning in Large Language Models. - Kechi Zhang; Ge Li 001; Jia Li; Huangzhao Zhang; Jingjing Xu; Hao Zhu; Lecheng Wang; Jia Li; Yihong Dong; Jing Mai; Bin Gu; Zhi Jin (CoRR, 2025)

Enhancing Repository-Level Code Generation with Call Chain-Aware Multi-View Context. - Yang Liu; Li Zhang; Fang Liu; Zhuohang Wang; Donglin Wei; Zhishuo Yang; Kechi Zhang; Jia Li; Lin Shi (CoRR, 2025)

StackTrans: From Large Language Model to Large Pushdown Automata Model. - Kechi Zhang; Ge Li 001; Jia Li; Huangzhao Zhang; Yihong Dong; Jia Li; Jingjing Xu; Zhi Jin (CoRR, 2025)

A Survey on Code Generation with LLM-based Agents. - Yihong Dong; Xue Jiang; Jiaru Qian; Tian Wang; Kechi Zhang; Zhi Jin; Ge Li (CoRR, 2025)

RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization. - Yihong Dong; Xue Jiang; Yongding Tao; Huanyu Liu; Kechi Zhang; Lili Mou; Rongyu Cao; Yingwei Ma; Jue Chen; Binhua Li; Zhi Jin; Fei Huang 002; et al. (CoRR, 2025)