廖俊：男,博士，副教授，博士生导师，高性能计算中心主任，美国密歇根大学药学院访问学者。
本人研究方向：
基于靶标结构的小分子配体从头设计与生成AI模型；临床医药大数据与人工智能；机器学习、深度学习算法在临床数据分析中的应用。
研究兴趣点集中在：
面向基于靶标结构的小分子配体设计与生成，研发大数据和高性能计算驱动的人工智能算法与模型；药品不良反应大数据分析、药物相互作用人工智能预测、疾病大数据分析和预测模型；数字病理的大数据构建和深度学习应用。
研究成果：
首个与国家健康医疗大数据中心（东部中心）建立药品再评价战略合作团队，于2021“之江杯”全球人工智能大赛成功揭榜“基于靶标结构的小分子配体从头设计与生成AI模型”项目。主持多项医药大数据与人工智能省部级科研项目，主持参与国家级科研项目六项。带领团队获得多次国家人工智能大赛奖项。在国内外核心期刊发表论文40多篇，其中SCI论文20余篇，获得软件著作权2项。
联系方式：email:liaojun@cpu.edu.cn,
Publications
1. ShouPeng Jia,Weibin She, ZhiPeng Pi,BuYin Niu,Zhang, Jinhua Zhang, Xihan Lin, Mingjun Xu, Weiya She,Jun Liao(*). Effectiveness of cascading time series models based on meteorological factors in improving health risk prediction .ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. 29, pages9944–9956 (2022) (IF= 4.223)
2.Xiaobing Feng, Yingrong Hua, Jianjun Zou, Shuopeng Jia, Jiatong Ji, Yan Xing, Junshan Zhou , Jun Liao(*). Intelligible Models for HealthCare: Predicting the Probability of 6-Month Unfavorable Outcome in Patients with Ischemic Stroke. Neuroinform (2021). https://doi.org/10.1007/s12021-021-09535-6.(IF= 4.085)
3.SHE WEIBIN, JIA SHUOPENG, HUA YINGRONG, FENG XIAOBING, XING YAN, SHE WEIYA, ZHANG JINHUA, LIAO JUN(*).The effect of nitrogen dioxide and atmospheric pressure on hospitalization risk for chronic obstructive pulmonary disease in Guangzhou, China. Respiratory Medicine [J], 2021.182: 106424.(IF= 3.415)
4.XI JUNXIAO, RONG YUEZHAO, ZHAO ZIFENG, NG YIHAI, WANG PU, LUAN HUILING, XING YAN, LI SIYUAN, LIAO JUN(*), DAI YUE, LIANG JINGYU, WU FEIHUA (*). Scutellarin ameliorates high glucose-induced vascular endothelial cells injury by activating PINK1/Parkin-mediated mitophagy.[J]. Journal of ethnopharmacology,2021,271.(IF=4.36)
5.ZHOU CHANGJIANG, JIN YI, CHEN YUZONG, HUANG SHAN, HUANG RENGPENG, WANG YUHONG, ZHAO YOUCAI, CHEN YAO, GUO LINGCHUAN, LIAO JUN(*). Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning. Computerized Medical Imaging and Graphics [J], 2021,88: 101861.(IF=4.79)
6.WU HONG, XING YAN, GE WEIHONG, LIAO JUN (*), et al. Drug-drug Interaction Extraction via Hybrid Neural Networks on Biomedical Literature[J]. Journal of Biomedical Informatics, 2020, 106:103432. (IF=6.317)
7.XING YAN, HUA YINGRONG, SHANG JING, GE WEIHONG, LIAO JUN (*). Traditional Chinese medicine networkpharmacology study on exploring the mechanism of Xuebijing Injection in the treatment of coronavirus disease 2019 [J]. Chinese Journal of Natural Medicines, 2020, 18(12):61-71. (IF=3.0)封面文章
8.HOU CHENZHI, HUA ZHENDONG, XU PENG, XU HUI, WANG YOUMEI, LIAO JUN, BIN DI (*). Estimating the prevalence of hepatitis B by wastewater-based epidemiology in 19 cities in China [J]. Science of The Total Environment, 2020, 740:139696. (IF=6.551)
9.ZHOU CHANGJIANG, XU JIEJIE, ZHU JINYING, TENG XIAODONG, LIAO JUN(*).Nuclei Segmentation and Count in Breast Pathology Image with Deep Learning.2019 International Conference on Artificial Intelligence and Computing Science (ICAICS 2019),Hangzhou,2019 April.
10.YI JIN, CHANGJIANG ZHOU, XIAODONG TENG, JIATONG JI, HONG WU,JUN LIAO(*). PAI-WSIT: An AI Service Platform With Support for Storing and Sharing Whole-Slide Images With Metadata and Annotations[J].IEEE ACCESS.2019.2913255. (IF=4.098)
11.SONG DALONG, CHEN YAO, MIN QIAN, SUN QINGRONG, YE KAI, ZHOU CHANGJIANG, YUAN SHENGYUE, SUN ZHAOLIN, LIAO JUN (*). Similarity-based machine learning support vector machine predictor of drug-drug interactions with improved accuracies [J].Journal of Clinical Pharmacy and Therapeutics, 2019,44(2):268-275.(IF=2.512)封面文章