Adversarial domain adaptation network for tumor image diagnosis. - Chunmei He; Shunmin Wang; Hongyu Kang; Lanqing Zheng; Taifeng Tan; Xianjun Fan (Int. J. Approx. Reason., 2021)

Multi-attention representation network partial domain adaptation for COVID-19 diagnosis. - Chunmei He; Lanqing Zheng; Taifeng Tan; Xianjun Fan; Zhengchun Ye (Appl. Soft Comput., 2022)

Manifold discrimination partial adversarial domain adaptation. - Chunmei He; Lanqing Zheng; Taifeng Tan; Xianjun Fan; Zhengchun Ye (Knowl. Based Syst., 2022)

Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report. - Marcos V. Conde; Eduard Zamfir; Radu Timofte; Daniel Motilla; Cen Liu; Zexin Zhang; Yunbo Peng; Yue Lin 002; Jiaming Guo; Xueyi Zou; Yuyi Chen; Yi Liu; et al. (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Lei Yu; Youwei Li; Xinpeng Li 002; Ting Jiang; Qi Wu 017; Mingyan Han; Wenjie Lin; Chengzhi Jiang; et al. (CVPR Workshops, 2023)

Domain Knowledge Adapted Semi-supervised Learning with Mean-Teacher Strategy for Circulating Abnormal Cells Identification. - Huajia Wang; Yinglan Kuang; Xianjun Fan; Yanling Zhou; Xin Ye; Xing Lu (CMMCA@MICCAI, 2023)

Noise-residual Mixup for unsupervised adversarial domain adaptation. - Chunmei He; Taifeng Tan; Xianjun Fan; Lanqing Zheng; Zhengchun Ye (Appl. Intell., 2023)

A Lightweight and Robust Framework for Circulating Genetically Abnormal Cells (CACs) Identification Using 4-Color Fluorescence In Situ Hybridization (FISH) Image and Deep Refined Learning. - Xu Xu; Congsheng Li; Xingjie Lan; Xianjun Fan; Xing Lv; Xin Ye; Tongning Wu (J. Digit. Imaging, 2023)

Unsupervised Domain Adaptation with Asymmetrical Margin Disparity loss and Outlier Sample Extraction. - Chunmei He; Xianjun Fan; Kang Zhou; Zhengchun Ye (Neural Networks, 2023)