Multi-task Heterogeneous Framework for Semi-supervised Medical Image Segmentation. - Jinghan Cao; Huijie Fan; Shengpeng Fu; Ling Xu; Xi'ai Chen; Sen Lin 003 (ICIRA (2), 2024)

A survey on fairness of large language models in e-commerce: progress, application, and challenge. - Qingyang Ren; Zilin Jiang; Jinghan Cao; Sijia Li; Chiqu Li; Yiyang Liu; Shuning Huo; Tiange He (CoRR, 2024)

Optimization and Scalability of Collaborative Filtering Algorithms in Large Language Models. - Haowei Yang; Longfei Yun; Jinghan Cao; Qingyi Lu; Yuming Tu (CoRR, 2024)

Own-background contrastive learning guided by pseudo-label for semi-supervised medical image segmentation. - Huijie Fan; Jinghan Cao; Xi'ai Chen; Sen Lin 003; Kemal Polat; Jingchun Zhou (Appl. Soft Comput., 2025)

Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications. - Yiming Zeng 012; Wanhao Yu; Zexin Li; Tao Ren; Yu Ma; Jinghan Cao; Xiyan Chen; Tingting Yu (CoRR, 2025)

TreeDiff: AST-Guided Code Generation with Diffusion LLMs. - Yiming Zeng 012; Jinghan Cao; Zexin Li; Yiming Chen; Tao Ren; Dawei Xiang; Xidong Wu; Shangqian Gao; Tingting Yu (CoRR, 2025)