Transform consistency for learning with noisy labels. - Rumeng Yi; Yaping Huang (CoRR, 2021)

Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation. - Rumeng Yi; Yaping Huang; Qingji Guan; Mengyang Pu; Runsheng Zhang (IEEE Trans. Image Process., 2022)

TC-Net: Detecting Noisy Labels Via Transform Consistency. - Rumeng Yi; Yaping Huang (IEEE Trans. Multim., 2022)

Class-Independent Regularization for Learning with Noisy Labels. - Rumeng Yi; Dayan Guan; Yaping Huang; Shijian Lu (AAAI, 2023)

SRTRP-Net: A multi-task learning network for segmentation and prediction of stereotactic radiosurgery treatment response in brain metastases. - Xiao Liu; Peng Du; Zhiguang Dai; Rumeng Yi; Weifan Liu; Hao Wu; Daoying Geng; Jie Liu (Comput. Biol. Medicine, 2024)

Mutual Filter Teaching for Open-Set Semi-Supervised Learning. - Xiaokun Li; Rumeng Yi; Yaping Huang (IEEE Trans. Multim., 2024)