Semi-supervised semantic segmentation with cross teacher training. - Hui Xiao 005; Li Dong 006; Hao Xu; Shuibo Fu; Diqun Yan; Kangkang Song; Chengbin Peng (Neurocomputing, 2022)

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 (ICME, 2023)

Corrigendum to "Semi-supervised semantic segmentation with cross teacher training" [Neurocomputing 508 (2022) 36-46]. - Hui Xiao 005; Li Dong 006; Hao Xu; Shuibo Fu; Diqun Yan; Kangkang Song; Chengbin Peng (Neurocomputing, 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 (Knowl. Based Syst., 2023)

Weakly Supervised Learning for Point Cloud Semantic Segmentation With Dual Teacher. - Baochen Yao; Hui Xiao 005; Jiayan Zhuang; Chengbin Peng 001 (IEEE Robotics Autom. Lett., 2023)

Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic Segmentation. - Hui Xiao 005; Yuting Hong; Li Dong 006; Diqun Yan; Jiayan Zhuang; Junjie Xiong; Dongtai Liang; Chengbin Peng (CoRR, 2024)

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 (CoRR, 2024)

A multi-view consistency framework with semi-supervised domain adaptation. - Yuting Hong; Li Dong 006; Xiaojie Qiu; Hui Xiao 005; Baochen Yao; Siming Zheng; Chengbin Peng 001 (Eng. Appl. Artif. Intell., 2024)

Multi-Level Label Correction by Distilling Proximate Patterns for Semi-Supervised Semantic Segmentation. - Hui Xiao 005; Yuting Hong; Li Dong 006; Diqun Yan; Junjie Xiong; Jiayan Zhuang; Dongtai Liang; Chengbin Peng 001 (IEEE Trans. Multim., 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 (Neural Comput. Appl., 2025)