MINTIN: Maxout-Based and Input-Normalized Transformation Invariant Neural Network. - Jingyang Zhang; Kaige Jia; Pengshuai Yang; Fei Qiao; Qi Wei 001; Xinjun Liu; Huazhong Yang (ICIP, 2018)

Liver Histopathological Image Retrieval Based on Deep Metric Learning. - Pengshuai Yang; Yupeng Zhai; Lin Li; Hairong Lv; Jigang Wang; Chengzhan Zhu; Rui Jiang 001 (BIBM, 2019)

Towards Wide Range Tracking of Head Scanning Movement in Driving. - Shuhang Wang; Jianfeng Li; Pengshuai Yang; Tianxiao Gao; Alex R. Bowers; Gang Luo 003 (Int. J. Pattern Recognit. Artif. Intell., 2020)

Self-supervised Visual Representation Learning for Histopathological Images. - Pengshuai Yang; Zhiwei Hong; Xiaoxu Yin; Chengzhan Zhu; Rui Jiang 001 (MICCAI (2), 2021)

CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images. - Pengshuai Yang; Xiaoxu Yin; Haiming Lu; Zhongliang Hu; Xuegong Zhang; Rui Jiang 001; Hairong Lv (Medical Image Anal., 2022)

A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas. - Rui Jiang 001; Xiaoxu Yin; Pengshuai Yang; Lingchao Cheng; Juan Hu; Jiao Yang; Ying Wang; Xiaodan Fu; Li Shang; Liling Li; Wei Lin; Huan Zhou; et al. (Nat. Mac. Intell., 2024)