A Pseudo-Dual Self-Rectification Framework for Semantic Segmentation. - Huazheng Hao; Hui Xiao 005; Li Dong 006; Diqun Yan; Dongtai Liang; Jiayan Zhuang; Chengbin Peng 001 (ICME, 2023)

Semi-supervised learning with pseudo-negative labels for image classification. - Hao Xu; Hui Xiao 005; Huazheng Hao; Li Dong 006; Xiaojie Qiu; Chengbin Peng 001 (Knowl. Based Syst., 2023)

Exploiting Minority Pseudo-Labels for Semi-Supervised Semantic Segmentation in Autonomous Driving. - Yuting Hong; Hui Xiao 005; Huazheng Hao; Xiaojie Qiu; Baochen Yao; Chengbin Peng 001 (CoRR, 2024)

An efficient and scalable semi-supervised framework for semantic segmentation. - Huazheng Hao; Hui Xiao 005; Junjie Xiong; Li Dong 006; Diqun Yan; Dongtai Liang; Jiayan Zhuang; Chengbin Peng 001 (Neural Comput. Appl., 2025)