Effective Breast Cancer Recognition Based on Fine-Grained Feature Selection. - Guangli Li; Tian Yuan; Chuanxiu Li; Jianwu Zhuo; Ziliang Jiang; Jinpeng Wu; Donghong Ji; Hongbin Zhang 004 (IEEE Access, 2020)

Multi-View Attention-Guided Multiple Instance Detection Network for Interpretable Breast Cancer Histopathological Image Diagnosis. - Guangli Li; Chuanxiu Li; Guangting Wu; Donghong Ji; Hongbin Zhang 004 (IEEE Access, 2021)

Multi-modal visual adversarial Bayesian personalized ranking model for recommendation. - Guangli Li; Jianwu Zhuo; Chuanxiu Li; Jin Hua; Tian Yuan; Zhengyu Niu; Donghong Ji; Renzhong Wu; Hongbin Zhang 004 (Inf. Sci., 2021)

MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification. - Guangli Li; Chuanxiu Li; Guangting Wu; Guangxin Xu; Ying Zhou; Hongbin Zhang 004 (Artif. Intell. Medicine, 2022)

DCML: Deep contrastive mutual learning for COVID-19 recognition. - Hongbin Zhang 004; Weinan Liang; Chuanxiu Li; Qipeng Xiong; Haowei Shi; Lang Hu; Guangli Li (Biomed. Signal Process. Control., 2022)

Se-xDeepFEFM: Combining Low-Order Feature Refinement and Interaction Intensity Evaluation for Click-Through Rate Prediction. - Guangli Li; Guangxin Xu; Guangting Wu; Yiyuan Ye; Chuanxiu Li; Hongbin Zhang 004; Donghong Ji (Symmetry, 2022)

Pathological image classification via embedded fusion mutual learning. - Guangli Li; Guangting Wu; Guangxin Xu; Chuanxiu Li; Zhiliang Zhu 003; Yiyuan Ye; Hongbin Zhang 004 (Biomed. Signal Process. Control., 2023)

Embedded mutual learning: A novel online distillation method integrating diverse knowledge sources. - Chuanxiu Li; Guangli Li; Hongbin Zhang 004; Donghong Ji (Appl. Intell., 2023)

Correction to: Embedded mutual learning: a novel online distillation method integrating diverse knowledge sources. - Chuanxiu Li; Guangli Li; Hongbin Zhang 004; Donghong Ji (Appl. Intell., 2023)

Large-scale crop dataset and deep learning-based multi-modal fusion framework for more accurate G×E genomic prediction. - Qixiang Zou; Shuaishuai Tai; Qianguang Yuan; Yating Nie; Heping Gou; Longfei Wang; Chuanxiu Li; Yi Jing; Fangchun Dong; Zhen Yue; Yi Rong; Xiaodong Fang; et al. (Comput. Electron. Agric., 2025)