AKG: automatic kernel generation for neural processing units using polyhedral transformations. - Jie Zhao 002; Bojie Li; Wang Nie; Zhen Geng; Renwei Zhang; Xiong Gao; Bin Cheng; Chen Wu; Yun Cheng; Zheng Li 035; Peng Di; Kun Zhang; et al. (PLDI, 2021)

CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. - Peng Di; Jianguo Li; Hang Yu 002; Wei Jiang 041; Wenting Cai; Yang Cao; Chaoyu Chen; Dajun Chen; Hongwei Chen; Liang Chen; Gang Fan; Jie Gong 005; et al. (ICSE-SEIP, 2024)

Understanding Code Changes Practically with Small-Scale Language Models. - Cong Li 003; Zhaogui Xu; Peng Di; Dongxia Wang 002; Zheng Li 035; Qian Zheng (ASE, 2024)

Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM. - Codefuse; Wenting Cai; Yuchen Cao 007; Chaoyu Chen; Chen Chen; Siba Chen; Qing Cui; Peng Di; Junpeng Fang; Zi Gong; Ting Guo 003; Zhengyu He; et al. (CoRR, 2025)

OpenDerisk: An Industrial Framework for AI-Driven SRE, with Design, Implementation, and Case Studies. - Peng Di; Faqiang Chen; Xiao Bai; Hongjun Yang; Qingfeng Li; Ganglin Wei; Jian Mou; Feng Shi; Keting Chen; Peng Tang; Zhitao Shen; Zheng Li 035; et al. (CoRR, 2025)