教师简介

姜善成，博士，副教授，硕士生导师，永利集团3044官网“百人计划”引进人才。分别于2012年及2014年在东北大学获得学士及硕士学位。2018年于香港城市大学获得博士学位。并于2017年11月至2019年3月在香港理工大学容启亮讲座教授团队担任副研究员。

研究兴趣

目前正在开展基于多模态大模型实现个性化医疗决策优化相关研究，聚焦人工智能决策过程与结果的可靠性与可解释性改善。同时亦对相关人工智能与运筹优化交叉研究很感兴趣。

科研项目

国家自然科学基金-面上项目：基于多模态大语言模型的肺癌精准诊断与治疗方案可解释推荐方法研究，40万元，2026-2029，主持，在研。

广东省自然基金项目-面上项目：基于多模态大语言模型的患者重症监护病房需求可解释预测方法研究，10万元，2026-2028，主持，在研。

深圳市自然科学基金-面上项目：基于肺部CT影像的人工智能辅助诊断系统鲁棒性与可解释性优化方法研究，30万元，2025-2028，主持，在研。

国家自然科学基金-青年项目：医疗大数据环境下基于人工智能的皮肤病自动诊断系统研究，20万元，2019-2021，主持，结题。
国家重点研发计划-子课题：盐湖化工产业集聚区域网络协同制造集成技术研究与应用示范， 42万元，2020-11 至 2023-10，主持，结题。
广东省自然基金项目-面上项目：面向多元影像信息的皮肤病自动诊断系统研究, 10万元，2019-10 至 2022-09，主持，结题。
高校基本科研业务费永利集团3044官网青年教师培育项目：基于小样本学习的皮肤病自动诊断系统研究，15万元，2020-01 至 2021-08，主持，结题。
永利集团3044官网“百人计划”科研启动经费，2019-2022，结题；

代表性成果

[1] Shancheng Jiang#, Qize Liu#, Lubin Wu#, Yu Zhang, Muhammet Deveci*, Zhen-Song Chen*. A distributionally robust optimization approach for the potassium fertilizer product transportation considering transshipment through crossdocks[J]. Computers & Operations Research, 2024, 171: 106788.
[2] Shancheng Jiang, Huichuan Li, and Zhi Jin*. A Visually Interpretable Deep Learning Framework for Histopathological Image-Based Skin Cancer Diagnosis[J]. IEEE Journal of Biomedical and Health Informatics, 2021, 25(5): 1483-1494.
[3] Kun Xiang#; Xing Zhang#; Jinwen She; Jinpeng Liu; Haohan Wang; Shiqi Deng; Shancheng Jiang*; Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection, The 37th AAAI Conference on Artificial Intelligence (AAAI 2023), Washington DC, USA, 2023-2-7至2023-2-14 (conference paper)
[4] Shiqi Deng#, Xing Zhang#, Shancheng Jiang*. A diagnostic report supervised deep learning model training strategy for diagnosis of COVID-19[J]. Pattern Recognition, 2024, 149: 110232.
[5] Shancheng Jiang#, Zehui Wu#, Haiqiong Yang, Kun Xiang, Weiping Ding*, Zhen-Song Chen*. A prior knowledge-guided distributionally robust optimization-based adversarial training strategy for medical image classification[J]. Information Sciences, 2024, 673: 120705.
[6] Xiaoting Zhou, Lubin Wu, Yu Zhang, Zhensong Chen*, Shancheng Jiang*. A robust deep reinforcement learning approach to driverless taxi dispatching under uncertain demand[J]. Information Sciences, 2023, 646: 119401.
[7] Kun Xiang#, Linlin Peng#, Haiqiong Yang, Mingxin Li, Zhongfa Cao, Shancheng Jiang*, and Gang Qu. A Novel Weight Pruning Strategy for Light Weight Neural Networks with Application to the Diagnosis of Skin Disease[J]. Applied Soft Computing, 2021, 111(107707)
[8] Shancheng Jiang*, Fan Wu, K. L. Yung, Yingqiao Yang, W. H. Ip, Ming Gao, and James Abbott Foster. A Robust End-To-End Deep Learning Framework for Detecting Martian Landforms with Arbitrary Orientations[J]. Knowledge-based Systems, 2021, 234(107562)
[9] Shancheng Jiang, K. S. Chin*, Long Wang, Gang Qu, and K. L. Tsui. Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department[J]. Expert Systems with Applications, 2017, 82: 216-230. 
[10] Shancheng Jiang*, Zongkai Lian, K. L. Yung, W. H. Ip, and Ming Gao. Automated Detection of Multitype Landforms on Mars Using a Light-Weight Deep Learning-Based Detector[J]. IEEE Transactions on Aerospace and Electronic Systems, 2022, 58(6): 5015-5029.
[11] Fan Wu#, Haiqiong Yang#, Linlin Peng, Zongkai Lian, Mingxin Li, Gang Qu, Shancheng Jiang*, and Yu Han*，AGNet: Automatic Generation Network for Skin Imaging Reports[J]. Computers in Biology and Medicine, 2021, 141
[12] Shancheng Jiang, K. S. Chin*, Gang Qu, and K. L. Tsui. An Integrated Machine Learning Framework for Hospital Readmission Prediction[J]. Knowledge-Based Systems, 2018, 146: 73-90.
[13] Shancheng Jiang, K. S. Chin*, and K. L. Tsui. A universal deep learning approach for modeling the flow of patients under different severities[J]. Computer methods and programs in biomedicine, 2018, 154: 191-203.
[14] 吴禄彬，章宇，连宗凯，姜善成*. 共享汽车系统空车调度的鲁棒优化模型[J].控制与决策,2023,38(02):519-527.
[15] 周晓婷，吴禄彬，章宇，姜善成*. 基于不确定需求的无人驾驶出租车优化调度[J]. 计算机集成制造系统, 2022, 28(11):3433-3442.
[16] Leping Deng#, Weihe Zhong#, Lu Zhao#, Xuedong He, Zongkai Lian, Shancheng Jiang*, Calvin Yu-Chian Chen*. Artificial Intelligence-Based Application to Explore Inhibitors of Neurodegenerative Diseases[J]. Frontiers in Neurorobotics, 2020, 14.
[17] Shancheng Jiang, Qize Liu, Beichen Ding*. A systematic review of the modelling of patient arrivals in emergency departments[J]. Quant Imaging Med Surg 2023;13(3):1957-1971. doi: 10.21037/qims-22-268.
[18] Zongkai Lian, Haiqiong Yang, Fan Wu, Mingxin Li, Shancheng Jiang. C-ALGL NET: Pathological Images Generate Diagnostic Results. 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), Iowa City, IA, USA (conference paper)
[19] Shancheng Jiang and K. S. Chin. Demand Forecasting in Outpatient Department with a Universal Deep Learning Framework, INFORMS 2016 International Meeting, Kona, U.S.A, (2016). (invited presentation)
[20] Shancheng Jiang, Jiafu Tang, and Guangwei Chen. Modeling the Scheduling Problem of Break-up and Make-up Process for Cargo Trains in Chinese Railway Marshalling Yard. Proceedings of 2013 International Conference on Industrial Engineering and Management Science (conference paper)
[21] 姜善成; 刘棋泽; 江汉康; 古博; 韩瑜; 一种面向动态环境的产业资源配置优化方法、装置及设备，2024-10-11，中国，CN202311123180.8 (授权专利)
[22] 姜善成; 江汉康; 刘金朋; 黄俊嘉; 佘锦文; 黄孜颖，皮肤病自动诊断软件， 2021SR1196250, 原始取得, 全部权利, 2021-5-10 (软件著作权)
 

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中国系统工程学会物流系统工程专业委员会-委员

中国运筹学会医疗管理分会-理事

联系我

电子邮箱： jiangshch3@mail.sysu.edu.cn; pfc24@126.com 。欢迎对我研究方向感兴趣的同学加入我的课题组相互交流学习。针对想跟我读研同学的要求：（1）为人诚实、正直。（2）英语过六级