男，江苏南通人，博士研究生，2011年毕业于日本德岛大学智能信息系统自然语言处理专业，2012-2014年中国南京医科大学基础医学博士后，2016-2017年美国德州大学生物信息学高级访问学者，教授，博士生导师。先后主持或参加国家级，省部级以及市厅级研究课题共计13项，在国内外期刊上发表近100篇论文, 其中以第一作者(并列)发表论SCI/EI论文30余篇。参加国内外学术交流26次，参与国外3部专著编写与出版。参与获得中华预防医学会科学技术奖三等奖（2017），江苏省科技进步奖三等奖（2015,2021）。江苏省第十批“六大人才高峰”资助对象。团队网站，http://vectorspaceai.cn/website/pages/team.html
医学信息学（本科生）、生物医学数据挖掘（本科生）、医学人工智能（研究生）
[1] 国家自然科学基金委员会，面上项目（81873915），面向信息交互的中国临床标准药物知识库构建与评测研究，2019-2022，主持，已结题
[2] 科技部国家重点研发计划，基于人工智能的临床辅助决策支持新型服务模式解决方案(2018YFC0116902)， 2018-2020，子课题负责人，已结题
论文/专著：
部分SCI论文（2020-至今）
[1]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.中科院2区，JCRQ1.
[2]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2区,JCRQ1
[3] 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. 中科院2区,JCRQ1
[4]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. 中科院2区,JCRQ1
[5]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.中科院2区,JCRQ1
[6]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. https://doi.org/10.3390/app13010354.中科院3区,JCRQ2
[7]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.中科院2区TOP,JCRQ1
[8]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.中科院3区,JCRQ2
[9]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
开发用于对小分子药物进行表示学习的方法。该方法通过对小分子SMILES字符处理，提取小分子结构信息，将其转化为嵌入表达，同时创新性地在预训练过程中结合了Ising模型梯度矫正以提高预训练效果。以大规模的预训练为基础的分类模型能够较为准确地预测小分子化合物HBV抑制率和肝细胞毒性。通过湿实验对模型准确率进行了验证并开发出了基于web的小工具用于在线对抗HBV化合物的预测。
[10]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. 中科院2区,JCRQ2
[11]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.中科院2区,JCRQ2
[12]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. 中科院2区, JCR1区
[13]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. 中科院2区, JCR1区
[14]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 中科院2区, JCR1区
[15]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.中科院2区, JCR1区
[16] 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. 中科院3区, JCR2区
[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检测技术研发及早期预警的临床价值，江苏省人民政府，江苏省科学技术奖三等奖, (3/7)，2021
[2]新型癌胚型特异标志和HBV变异对肝癌监测和早期预警价值, 中华预防医学会，中华预防医学会科学技术奖三等奖, (3/8)，2017
[3]HBV相关肝癌发病机制及特异分子监测技术研发与应用, 江苏省人民政府，江苏省科学技术奖三等奖, (4/7)，2015
近5年已指导硕士研究生10名，博士4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5项，研究生参加数学建模等比赛获国家二等奖等。
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，主要从事自然语言处理，AIGC大语言模型，AI制药，肿瘤生物大数据等方向的研究工作。
