Imprecise Deep Forest for Partial Label Learning. - Jie Gao; Weiping Lin; KunHong Liu 001; Qingqi Hong; Guangyi Lin; Beizhan Wang (IEEE Access, 2020)

Partial label learning based on label distributions and error-correcting output codes. - Guangyi Lin; KunHong Liu 001; Beizhan Wang; Xiaoyan Zhang (Soft Comput., 2021)

Feature space and label space selection based on Error-correcting output codes for partial label learning. - Guangyi Lin; Zi-Yang Xiao; Jia-Tong Liu; Beizhan Wang; KunHong Liu 001; Qingqiang Wu 001 (Inf. Sci., 2022)

A self-adaptive soft-recoding strategy for performance improvement of error-correcting output codes. - Guangyi Lin; Jie Gao; Nan Zeng; Yong Xu 009; Kunhong Liu 001; Beizhan Wang; Junfeng Yao; Qingqiang Wu 001 (Pattern Recognit., 2023)

Robust multi-model fitting via neighborhood graph structure consistency. - Hanlin Guo; Jing Zhao; Weiquan Liu; Disai Yang; Chengxian Zhou; Guangyi Lin; Shuyuan Lin (Digit. Signal Process., 2024)

Multi-task multi-view and iterative error-correcting random forest for acute toxicity prediction. - Jie Gao; Lianlian Wu; Guangyi Lin; Jiayu Zou; Bowei Yan; Kunhong Liu 001; Song He; Xiaochen Bo (Expert Syst. Appl., 2025)