Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department. - Shancheng Jiang; Kwai-Sang Chin; Long Wang 015; Gang Qu 004; Kwok-Leung Tsui (Expert Syst. Appl., 2017)

A universal deep learning approach for modeling the flow of patients under different severities. - Shancheng Jiang; Kwai-Sang Chin; Kwok-Leung Tsui (Comput. Methods Programs Biomed., 2018)

An integrated machine learning framework for hospital readmission prediction. - Shancheng Jiang; Kwai-Sang Chin; Gang Qu 004; Kwok-Leung Tsui (Knowl. Based Syst., 2018)

Combining Deep Neural Networks and Classical Time Series Regression Models for Forecasting Patient Flows in Hong Kong. - Shancheng Jiang; Ran Xiao; Long Wang 015; Xiong Luo; Chao Huang 002; Jenq-Haur Wang; Kwai-Sang Chin; Ximing Nie (IEEE Access, 2019)

C-Algl Net: Pathological Images Generate Diagnostic Results. - Zongkai Lian; Haiqiong Yang; Fan Wu; Mingxin Li; Shancheng Jiang (ISBI Workshops, 2020)

Artificial Intelligence-Based Application to Explore Inhibitors of Neurodegenerative Diseases. - Leping Deng; Weihe Zhong; Lu Zhao; Xuedong He; Zongkai Lian; Shancheng Jiang; Calvin Yu-Chian Chen (Frontiers Neurorobotics, 2020)

GUEST EDITORIAL: Special Section on Data-enabled Intelligence in Complex Agricultural Systems. - Long Wang 015; Zhe Song; Chao Huang 002; Shancheng Jiang; Jenq-Haur Wang (Intell. Autom. Soft Comput., 2020)

A novel weight pruning strategy for light weight neural networks with application to the diagnosis of skin disease. - Kun Xiang; Linlin Peng; Haiqiong Yang; Mingxin Li; Zhongfa Cao; Shancheng Jiang; Gang Qu 004 (Appl. Soft Comput., 2021)

A robust end-to-end deep learning framework for detecting Martian landforms with arbitrary orientations. - Shancheng Jiang; Fan Wu; Kai-Leung Yung; Yingqiao Yang; W. H. Ip; Ming Gao 008; James Abbott Foster (Knowl. Based Syst., 2021)

A Visually Interpretable Deep Learning Framework for Histopathological Image-Based Skin Cancer Diagnosis. - Shancheng Jiang; Huichuan Li; Zhi Jin (IEEE J. Biomed. Health Informatics, 2021)

AGNet: Automatic generation network for skin imaging reports. - Fan Wu; Haiqiong Yang; Linlin Peng; Zongkai Lian; Mingxin Li; Gang Qu 004; Shancheng Jiang; Yu Han (Comput. Biol. Medicine, 2022)

Automated Detection of Multitype Landforms on Mars Using a Light-Weight Deep Learning-Based Detector. - Shancheng Jiang; Zongkai Lian; Kai-Leung Yung; W. H. Ip; Ming Gao 008 (IEEE Trans. Aerosp. Electron. Syst., 2022)

Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection. - Kun Xiang; Xing Zhang; Jinwen She; Jinpeng Liu; Haohan Wang; Shiqi Deng; Shancheng Jiang (AAAI, 2023)

Multi-objective auto-scaling scheduling for micro-service workflows in hybrid clouds. - Shijia Wang; Xuan Liu; Ming Gao 008; Mingxia Chen; Kai-Leung Yung; Shancheng Jiang (Enterp. Inf. Syst., 2023)

A robust deep reinforcement learning approach to driverless taxi dispatching under uncertain demand. - Xiaoting Zhou; Lubin Wu; Yu Zhang 073; Zhen-Song Chen 002; Shancheng Jiang (Inf. Sci., 2023)

A distributionally robust optimization approach for the potassium fertilizer product transportation considering transshipment through crossdocks. - Shancheng Jiang; Qize Liu; Lubin Wu; Yu Zhang 073; Muhammet Deveci; Zhen-Song Chen 002 (Comput. Oper. Res., 2024)

Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification. - Shuai Li; Xiaoguang Ma; Shancheng Jiang; Lu Meng (CoRR, 2024)

A prior knowledge-guided distributionally robust optimization-based adversarial training strategy for medical image classification. - Shancheng Jiang; Zehui Wu; Haiqiong Yang; Kun Xiang; Weiping Ding 001; Zhen-Song Chen 002 (Inf. Sci., 2024)

A diagnostic report supervised deep learning model training strategy for diagnosis of COVID-19. - Shiqi Deng; Xing Zhang; Shancheng Jiang (Pattern Recognit., 2024)