Global context aware RCNN for object detection. - Wenchao Zhang 001; Chong Fu 001; Haoyu Xie 002; Mai Zhu; Ming Tie; Junxin Chen 001 (Neural Comput. Appl., 2021)

Uncertainty teacher with dense focal loss for semi-supervised medical image segmentation. - Jialei Chen 001; Chong Fu 001; Haoyu Xie 002; Xu Zheng 002; Rong Geng; Chiu-Wing Sham (Comput. Biol. Medicine, 2022)

Uncertainty-aware deep co-training for semi-supervised medical image segmentation. - Xu Zheng 002; Chong Fu 001; Haoyu Xie 002; Jialei Chen 001; Xingwei Wang 001; Chiu-Wing Sham (Comput. Biol. Medicine, 2022)

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. - Haoyu Xie 002; Changqi Wang; Mingkai Zheng; Minjing Dong; Shan You; Chong Fu 001; Chang Xu 002 (AAAI, 2023)

Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation. - Changqi Wang; Haoyu Xie 002; Yuhui Yuan; Chong Fu 001; Xiangyu Yue 001 (ICCV, 2023)

Adversarial co-training for semantic segmentation over medical images. - Haoyu Xie 002; Chong Fu 001; Xu Zheng 002; Yu Zheng 021; Chiu-Wing Sham; Xingwei Wang 001 (Comput. Biol. Medicine, 2023)

PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation. - Haoyu Xie 002; Changqi Wang; Jian Zhao 006; Yang Liu 356; Jun Dan; Chong Fu 001; Baigui Sun (Int. J. Comput. Vis., 2024)