A hybrid method for learning multi-dimensional Bayesian network classifiers based on an optimization model. - Mingmin Zhu; Sanyang Liu; Jiewei Jiang (Appl. Intell., 2016)

Learning Bayesian Networks in the Space of Structures by a Hybrid Optimization Algorithm. - Mingmin Zhu; Sanyang Liu; Jiewei Jiang (Int. J. Comput. Commun. Control, 2016)

A novel divergence for sensitivity analysis in Gaussian Bayesian networks. - Mingmin Zhu; Sanyang Liu; Jiewei Jiang (Int. J. Approx. Reason., 2017)

Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing. - Erping Long; Jingjing Chen; Xiaohang Wu; Zhenzhen Liu; Liming Wang; Jiewei Jiang; Wangting Li; Yi Zhu; Chuan Chen; Zhuoling Lin; Jing Li; Xiaoyan Li; et al. (npj Digit. Medicine, 2020)

Automatic diagnosis of multiple lesions in fundus images based on dual attention mechanism. - Jiamin Gong; Liufei Guo; Jiewei Jiang; Chengchao Wu; Mengjie Pei; Wei Liu (ISAIMS, 2021)

Development of a deep learning-based image quality control system to detect and filter out ineligible slit-lamp images: A multicenter study. - Zhongwen Li; Jiewei Jiang; Kuan Chen; Qinxiang Zheng; Xiaotian Liu; Hongfei Weng; Shanjun Wu; Wei Chen (Comput. Methods Programs Biomed., 2021)

Development of a deep learning-based image eligibility verification system for detecting and filtering out ineligible fundus images: A multicentre study. - Zhongwen Li; Jiewei Jiang; Heding Zhou; Qinxiang Zheng; Xiaotian Liu; Kuan Chen; Hongfei Weng; Wei Chen (Int. J. Medical Informatics, 2021)

Deep learning for depression recognition with audiovisual cues: A review. - Lang He; Mingyue Niu; Prayag Tiwari; Pekka Marttinen; Rui Su; Jiewei Jiang; Chenguang Guo; Hongyu Wang 007; Songtao Ding; Zhongmin Wang 001; Xiaoying Pan; Wei Dang (Inf. Fusion, 2022)

Artificial intelligence to detect malignant eyelid tumors from photographic images. - Zhongwen Li; Wei Qiang; Hongyun Chen; Mengjie Pei; Xiaomei Yu; Layi Wang; Zhen Li; Weiwei Xie; Xuefang Wu; Jiewei Jiang; Guohai Wu (npj Digit. Medicine, 2022)

Automatic diagnosis of eyelid tumors based on SE-SSD object localization algorithm. - Jiamin Gong; Haiyang Liu; Jiewei Jiang (AIPR, 2023)

Automatic diagnosis of keratitis using object localization combined with cost-sensitive deep attention convolutional neural network. - Jiewei Jiang; Wei Liu; Mengjie Pei; Liufei Guo; Jingshi Yang; Chengchao Wu; Jiaojiao Lu; Ruijie Gao; Wei Chen; Jiamin Gong; Mingmin Zhu; Zhongwen Li (J. Big Data, 2023)

Promoting smartphone-based keratitis screening using meta-learning: A multicenter study. - Zhongwen Li; Yangyang Wang; Kuan Chen; Wei Qiang; Xihang Zong; Ke Ding; Shihong Wang; Shiqi Yin; Jiewei Jiang; Wei Chen (J. Biomed. Informatics, 2024)

Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study. - Zhongwen Li; He Xie; Zhouqian Wang; Daoyuan Li; Kuan Chen; Xihang Zong; Wei Qiang; Feng Wen; Zhihong Deng; Limin Chen; Huiping Li; He Dong; et al. (npj Digit. Medicine, 2024)

AMHF-TP: Multifunctional therapeutic peptides prediction based on multi-granularity hierarchical features. - Shouheng Tuo; Yanling Zhu; Jiangkun Lin; Jiewei Jiang (Quant. Biol., 2025)

LMTformer: facial depression recognition with lightweight multi-scale transformer from videos. - Lang He; Junnan Zhao; Jie Zhang 028; Jiewei Jiang; Senqing Qi; Zhongmin Wang 001; Di Wu (Appl. Intell., 2025)

LMVD: A large-scale multimodal vlog dataset for depression detection in the wild. - Lang He; Kai Chen; Junnan Zhao; Yimeng Wang; Ercheng Pei; Haifeng Chen; Jiewei Jiang; Shiqing Zhang; Jie Zhang 028; Zhongmin Wang 001; Tao He; Prayag Tiwari (Inf. Fusion, 2026)