Source Code Summarization with Structural Relative Position Guided Transformer. - Zi Gong; Cuiyun Gao 001; Yasheng Wang; Wenchao Gu; Yun Peng 003; Zenglin Xu (SANER, 2022)

MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion. - Zi Gong; Yinpeng Guo; Pingyi Zhou; Cuiyun Gao 001; Yasheng Wang; Zenglin Xu (CoRR, 2022)

MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning. - Bingchang Liu; Chaoyu Chen; Cong Liao; Zi Gong; Huan Wang; Zhichao Lei; Ming Liang; Dajun Chen; Min Shen; Hailian Zhou; Hang Yu 002; Jianguo Li (CoRR, 2023)

A Survey on Language Models for Code. - Ziyin Zhang; Chaoyu Chen; Bingchang Liu; Cong Liao; Zi Gong; Hang Yu 002; Jianguo Li; Rui Wang 015 (CoRR, 2023)

CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models. - Zi Gong; Hang Yu 002; Cong Liao; Bingchang Liu; Chaoyu Chen; Jianguo Li (EMNLP, 2024)

CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. - Peng Di; Jianguo Li; Hang Yu 002; Wei Jiang 011; Wenting Cai; Yang Cao; Chaoyu Chen; Dajun Chen; Hongwei Chen; Liang Chen; Gang Fan; Jie Gong; et al. (ICSE-SEIP, 2024)

MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning. - Bingchang Liu; Chaoyu Chen; Zi Gong; Cong Liao; Huan Wang; Zhichao Lei; Ming Liang; Dajun Chen; Min Shen; Hailian Zhou; Wei Jiang 011; Hang Yu 002; et al. (KDD, 2024)

Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code. - Ziyin Zhang; Chaoyu Chen; Bingchang Liu; Cong Liao; Zi Gong; Hang Yu 002; Jianguo Li; Rui Wang 015 (Trans. Mach. Learn. Res., 2024)

Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions. - Zhihao He; Hang Yu 002; Zi Gong; Shizhan Liu; Jianguo Li; Weiyao Lin (ICLR, 2025)

Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM. - Codefuse; Wenting Cai; Yuchen Cao; Chaoyu Chen; Chen Chen; Siba Chen; Qing Cui; Peng Di; Junpeng Fang; Zi Gong; Ting Guo; Zhengyu He; et al. (CoRR, 2025)