男，教授，博士生导师，2011年毕业于日本德岛大学智能信息系统工程专业（自然语言处理方向），获博士学位。2012年至2014年在南京医科大学完成基础医学博士后研究。2016年至2017年赴美国德克萨斯大学休斯顿健康科学中心（生物医学信息学）开展高级访问学者研究。要从事医药大数据、人工智能与药物研发、自然语言处理、多组学数据分析等方面的研究。主持国家自然科学基金面上项目、科技部重点研发计划子课题等国家级项目，主持来自于医院与药企的多项横向产学研项目。发表SCI论文50余篇（中科院TOP期刊多篇），获授权专利5项。2021年获得江苏省科技进步三等奖一项。
人工智能导论 本科生
[1] 国家自然科学基金委员会，面上项目（81873915），构建中国临床标准药物知识库，58万，主持
[2] 科技部，重点研发计划子课题（2018YFC0116902），临床辅助决策AI系统开发，62万，子课题
[1] Xing Chen, Weichen Liu, Tiantian Ruan, Jinsong Shao, Sanjeevi Pandiyan, Min Yao, Li Wang. MCST-AFN: A Multichannel Spatiotemporal Feature Adaptive Fusion Network Framework Based on a Low-Fidelity Molecular Dynamics Model, ACS Omega 10(28), 2025, DOI: 10.1021/acsomega.5c01443
[2]Fei Ailu, Wang Yifan, Ruan Tiantian, Zhang Yekang, Yao Min, Wang Li. Enhanced information cross-attention fusion for drug-target binding affinity prediction. PeerJ Comput Sci, 2025, DOI: 10.7717/peerj-cs.3117.
[3]Sanjeevi Pandiyan, Tiantian Ruan, Zhuheng Zhong, Min Yao, Li Wang, Elucidate molecular mechanisms of 173 compounds for potential breast cancer therapeutics: Insights through integrating network pharmacology, molecular docking and molecular dynamics simulation, Chinese Journal of Analytical Chemistry, 2025,100557, DOI: 10.1016/j.cjac.2025.100557.
[4] Qifeng Jia, Yekang Zhang, Yihan Wang, Tiantian Ruan, Min Yao, Li Wang; Fragment-level feature fusion method using retrosynthetic fragmentation algorithm for molecular property prediction, Journal of Molecular Graphics and Modelling, 2025, 137, 108985, DOI: 10.1016/j.jmgm.2025.108985.
[5] Sanjeevi Pandiyan; Tiantian Ruan; Zhuheng Zhong; Min Yao; Li Wang; Modeling 3D structures of PIK3CA and PIK3R1 genes based on homology modeling, molecular docking, molecular dynamics and MM-GBSA study against breast cancer: Insights from an in-silico approach, Journal of Molecular Structure, 2025,1331,141580, DOI: 10.1016/j.molstruc.2025.141580.
[6] Jinsong Shao; Qifeng Jia; Xing Chen; Yajie Hao; Li Wang; Molecular fragmentation as a crucial step in the AI-based drug development pathway, Communication Chemistry, 2024, DOI: 10.1038/s42004-024-01109-2. 中科院1区Top
[7] Zeyu Yin; Yu Chen; Yajie Hao; Sanjeevi Pandiyan; Jinsong Shao; Li Wang; FOTF-CPI: A compound-protein interaction prediction transformer based on the fusion of optimal transport Fragments, iScience, 2024, DOI: 10.1016/j.isci.2023.108756.
[8] Yajie Hao, Xing Chen, Ailu Fei, Qifeng Jia, Yu Chen, Jinsong Shao, Sanjeevi Pandiyan and Li Wang. SG-ATT: A Sequence Graph Cross-Attention Representation Architecture for Molecular Property Prediction. Molecules, 2024, 29, 492. DOI: 10.3390/ molecules2902049.
[9] Li Wang, Liu Qian and Yao Min, Editorial: Molecular innate immunity and AI data analysis in hepatic diseases. Front. Immunol. 14:1276111. DOI: 10.3389/fimmu.2023.1276111.
[10] Yin, Zeyu, Jinsong Shao, Muhammad Jawad Hussain, Yajie Hao, Yu Chen, Xuefeng Zhang, and Li Wang. DPG-LSTM: An Enhanced LSTM Framework for Sentiment Analysis in Social Media Text Based on Dependency Parsing and GCN. Applied Sciences. 2023; 13(1):354. DOI: 10.3390/app13010354.
[11] Sanjeevi Pandiyan, Li Wang. A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence. Computers in Biology and Medicine. 150:106140. DOI: 10.1016/j.compbiomed.2022.106140.
[12] Li Wang, Li Shuyan, Chen Hui and Zhou Yunyun, Editorial: Methods and applications of natural language processing in psychiatry research. Frontiers in Psychiatry 13:972799. doi: 10.3389/fpsyt.2022.972799.
[13] Jingsong Shao; Qineng Gong; Zeyu Yin; Wenjie Pan; Sanjeevi Pandiyan; Li Wang; S2DV: converting SMILES to a drug vector for predicting the activity of anti-HBV small molecules, Briefings in Bioinformatics, 2022, doi:10.1093/bib/bbab593,中科院2区TOP,JCRQ1
[14] Li Wang, Jiang L, Pan D, Wang Q, Yin Z, Kang Z, Tian H, Geng X, Shao J, Pan W, Yin J, Fang L, Wang Y, Zhang W, Li Z, Zheng J, Hu W, Pan Y, Yu D, Guo S, Lu W, Li Q, Zhou Y, Xu H. Novel Approach by Natural Language Processing for COVID-19 Knowledge Discovery, Biomedical Journal. 2022, DOI: 10.1016/j.bj.2022.03.011.
[15] Xinjian Song, Feng Gu, Xiude Wang,Songhua Ma and Li Wang，Interpretable Recognition for Dementia Using Brain Images, Frontiers in Neuroscience, doi:10.3389/fnins.2021.748689.
[16] Heming Bai, Lei Jiang, Ting Li, Chong Liu, Xiaoxia Zuo, Yi Liu, Shaoxian Hu, Linyun Sun, Miaojia Zhang, Jin Lin, Weiguo Xiao, Qingwen Wang, Dongbao Zhao, Huaxiang Wu, Xiaodan Kong, Wenkang Gao, Wanxin Hou, Myeongsu Seong, Yuanpeng Zhang, Fangfang Chen, Sheng Chen, Xin Wu, Chunde Bao, Li Wang, Huji Xu. Acute effects of air pollution on lupus nephritis in patients with systemic lupus erythematosus: A multicenter panel study in China. Environmental Research, 2021, 195, DOI:10.1016/j.jes.2021.01.022.
[17] Heming Bai, Wenkang Gao, Yuanpeng Zhang, Li Wang. Assessment of health benefit of PM2.5 reduction during COVID-19 lockdown in China and separating contributions from anthropogenic emissions and meteorology. Journal of Environmental Sciences, 2021, DOI:10.1016/j.envres.2021.110875.
[18] Yuanpeng Zhang, Ziyuan Zhou, Heming Bai, Wei Liu and Li Wang, Seizure Classification from EEG Signals Using an Online Selective Transfer TSK Fuzzy Classifier with Joint Distribution Adaption and Manifold Regularization, Frontiers in Neuroscience, doi:10.3389/fnins.2020.00496
[19] Li Wang, Qinghua Wang,Heming Bai,Cong Liu,Wei Liu,Yuanpeng Zhang,Lei Jiang, Huji Xu, Kai Wang and Yunyun Zhou. EHR2Vec: representation learning of medical concepts from temporal patterns of clinical notes based on self-attention mechanism, Frontiers in Genetics, DOI: 10.3389/fgene.2020.00630.
[20] Li Wang; Wenjie Pan; QingHua Wang; Heming Bai; Wei Liu; Lei Jiang; Yuanpeng Zhang; A Modified Skip-Gram Algorithm for Extracting Drug-Drug Interactions from AERS Reports, Computational and Mathematical Methods in Medicine, 2020, doi:10.1155/2020/1747413.
专利：【发明人姓名，以逗号分隔. 专利名，授权（公开）时间，国别，专利号】
[1]姚登福,王理,姚敏,邵劲松. 基于人工智能片段化技术的先导活性分子生成与筛选方法，2025，中国，ZL202410771966.9
[2]王理,邵劲松,尹泽宇,潘文洁. 基于表示学习的抗HBV小分子药物预测模型及其构建方法，2024，中国，ZL2021111194037.9
王理,邵劲松,蓝俊,施维,薛均,张远鹏,董建成,姚敏,姚登福. 一种基于注意力机制的医疗实体向量转化方法，2023，中国，ZL201910644003.1
[3]王理,姜磊,施维,张远鹏. 一种基于神经网络语言模型的药物潜在不良反应发现方法，2023，中国，ZL201910039475.4
[4]王理,尹泽宇,潘文洁,邵劲松,姚敏,黄勋. 一种基于Ising模型的无监督词嵌入表示学习方法，2023，中国，ZL202110726042.3
[5]邵劲松,陈宇,郝亚杰,尹泽宇,王理. 基于注意力机制的多维特征融合的分子性质预测的模型，2023，中国，202211405805.5
[6]潘文洁,尹泽宇,邵劲松,王理. 基于知识图增强和注意力分配的多维特征表示学习模型，2023，中国，202211407672.5
[1] 南通市抗癌协会，肿瘤生物大数据专业委员会，主任委员
[1] 肝细胞癌变特异分子监测技术研发及早期预警的临床价值，江苏省科技进步三等奖，3/7，2021.
近5年已指导硕士研究生11名，其中毕业8名。指导的研究生在SCI、中文核心等期刊发表论文15篇，申请授权专利7项。
每年计划招收计算机技术、人工智能方向的专业硕士研究生3名和博士3名，主要从医药人工智能，自然语言处理与大语言模型智能体等方向的研究工作。
