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羊剑楠助理教授

系别:图书馆与数字人文

电话:

职称:助理教授

邮箱:jnyang@nju.edu.cn

研究领域:知识发现、医疗信息学

  • 个人简介
  • 工作经历
  • 研究领域
  • 教育背景
  • 代表论文
  • 科研项目
  • 教学情况
  • 社会兼职
  • 奖项

    羊剑楠博士,U8国际集团助理教授、特聘研究员,博/硕士生导师,入选U8国际集团"登峰人才支持计划"B层次。研究聚焦将可解释机器学习、知识图谱、大语言模型等前沿技术应用于知识计算领域,探索科学知识演化的内在规律。参与国家自然科学基金和香港研究资助局优配研究金等多个研究项目,在领域核心期刊发表论文10余篇,申请中国专利1项,美国专利2项。曾在腾讯AI Lab担任医疗AI算法研究员,并在香港创立孵化初创公司、获得投资支持,积极推动前沿科研成果的产业落地。欢迎对相关研究方向感兴趣的同学报考研究生(信息资源管理方向博士、图书情报专硕等)。


    2025-至今,U8国际集团,助理教授、特聘研究员。

    2023-2025,香港大学,博士后。

    2022-2023,腾讯AI Lab,医疗AI算法研究员(联合培养)。


    研究聚焦知识、技术与创新研究,综合运用复杂网络、深度学习与大语言模型等方法,致力于揭示知识与技术从产生、扩散到转化应用的全过程机制,关注其在学术研究、技术开发与产业应用中的关联结构及动态演化规律。主要包括:
    (1)知识与技术的结构表征:基于多源异构数据,刻画论文、专利、模型、产品等创新载体之间的关联结构,识别知识与技术体系的核心要素、组织方式及其演化特征。
    (2)知识与技术的传播演化:结合深度学习与动态网络分析方法,研究知识与技术在学术共同体、开源社区、企业组织与产业场景中的扩散、重组与迭代过程,分析其跨主体、跨领域流动的动力机制。
    (3)知识与技术的转化应用:面向技术落地与产业应用,研究学术成果向技术方案、产品形态与实际影响转化的路径与条件,揭示创新扩散、技术采纳与产业形成背后的关键机制。


    2019-2023,数据科学博士,香港城市大学数据科学公司。

    2015-2019,地理信息科学学士,U8国际集团地理与海洋科学公司。


    Luo, Y., Zhang, N., Yang, J., Cui, M., Tsoi, K. K., Lip, G. Y., Liu, T., Zhang, Q. AI-based multiomics profiling reveals complementary omics contributions to personalized prediction of cardiovascular disease. Nature Communications. 2026. (SCI一区) 

    Yang, J., Wang, D., Zhu, L., Yan, H., Zhang, Q. MMInfluencer: A Multimodal AI Framework for Influencer Marketing Tasks Using Large Language Models. IEEE Transactions on Computational Social Systems. 2025. (CCF-C, SCI一区)

    Yang, J., Li, Z., W.K.K., Yu, S., Xu, Z., Chu, Q., Zhang, Q. Deep Learning Identifies Explainable Reasoning Paths of Mechanism of Drug Action for Drug Repurposing from Multilayer Biological Network. Briefings in Bioinformatics. 2022. (CCF-B, SCI一区)

    Yang, J., Xu, Z., Wu, W.K.K., Chu, Q., Zhang, Q. GraphSynergy: Network Inspired Deep Learning Model for Anti–Cancer Drug Combination Prediction. Journal of the American Medical Informatics Association. 2021.(CCF-B, SSCI一区,SCI一区;报道该工作的新闻报道:CityU Research Stories, EurekAlert!, ScienMag, Bioengineer, MedicalXPress, eCancer, and others.)

    Yang, J., Zhang, Q., Cao, Z., Gao, J., Pfeiffer, D., Zhong, L., Zeng, D. D., The impact of non-pharmaceutical interventions on the prevention and control of COVID-19 in New York City. Chaos. 2021. (SCI一区; 报道该工作的新闻报道:CityU News, EurekAlert!, Science Daily, PhysOrg, Daily Mail, Agencia SINC, Courthouse News, Congation Live, EXPLICA .CO, Tv6 News, 有線寬頻, 商業電台, 信報, 香港經濟日報, 大公報, 星島日報, 香港01, 東方日報, 香港商報, 晴報, 頭條日報, 東網, 巴士的報, The Standard, PCHome, Yahoo! News, and others)

    Yang, J.*, Tang, K.*, Cao, Z.*, Pfeiffer, D. U., Zhao, K., Zhang, Q. & Zeng, D. D., Demand-driven spreading patterns of African swine fever in China. Chaos. 2021. (共同第一作者,SCI一区)

    Lyu, Z.*, Yang, J.*, Xu, Z., Wang, W., Cheng, W., Tsui, K., Zhang, Q. Predicting the risk of ischemic stroke in patients with atrial fibrillation using heterogeneous drug–protein–disease network-based deep learning. APL bioengineering. 2025. (共同第一作者,SCI一区)

    Liang, P.*, Yang, J.*, Wang, W., Han, M., Li, Z., Zhang, Q. Deep Learning Identifies Intelligible Predictors of Poor Prognosis in Chronic Kidney Disease. IEEE Journal of Biomedical and Health Informatics. 2022. (共同第一作者,CCF-CSCI一区)

    Garett R. R.*, Yang, J.*, Zhang, Q., Young, S. D. An online advertising intervention to increase adherence to Stay-at-Home-Orders during the COVID-19 pandemic: An efficacy trial monitoring individual-level mobility data. International Journal of Applied Earth Observation and Geoinformation. 2022. (共同第一作者,SCI一区)

    Luo, Z., Yang, J., Zhu, T., Wong, W., Zhou J. Language model-based early detection of colorectal cancer occurrence from previous disease diagnosis trajectory data for primary care purpose. The Lancet Regional Health–Western Pacific. 2025. (SCI一区)

    Zhang, Q., Yang, J., Zeng, D. D., Feng, Y., Wong, I. CK., Risk of drug-drug interactions in China's fight against COVID-19 and beyond. Pharmacological research. 2023. (SCI一区)

    Chen, M., Yang, J., Lu, J., Zhou, Z., Huang, K., Zhang, S., Yuan G., Zhang, Q., Li, Z., Ureteral calculi lithotripsy for single ureteral calculi: can DNN-assisted model help preoperatively predict risk factors for sepsis? European Radiology. 2022. (SCI一区)

    Xu, Z., Chan, C. S., Zhang, Q., Xu, Y., He, L., Cheung, F., Yang, J., Chan, E., Fung, J., Tsang, C., Liu, J., Yip, P. S. Network-based prediction of the disclosure of ideation about self-harm and suicide in online counseling sessions. Communications Medicine. 2022. (SCI一区)

    Xu, Z., Yang, J., Zhang, Q. & Yip, P. S. F, Risk of suicide after a self-poisoning episode: a self-controlled case series study. Social Psychiatry and Psychiatric Epidemiology. 2021. (SCI一区)


    参与项目

    国家重点研发计划:分布式知识图谱数据管理关键技术与系统,No.2019YFE0198600,214万,2020-2022.

    香港大学教育资助委员会优配研究金(General Research Fund):Monitoring polymorphism and assessing the fitness of amino acid substitutions in respiratory syncytial virus fusion glycoprotein.159万港币,2024-2027.

    香港大学教育资助委员会研究配对补助金计划(Research Matching Grant Scheme):Network analytics solutions for identifying latent interactions responsible for synergistic actions between drugs for cardiovascular disease. 513万港币,2024-2026.


    本科生课程

    信息素养


    研究生课程

    信息服务

    Semantic Organization and Processing of Digital Resources-Semantic Organization and Processing of Digital Resources(职工课程)


    学术期刊审稿人

    IEEE Transactions on Intelligent Transportation Systems

    IEEE Transactions on Computational Social Systems

    npj Digital Medicine

    Molecular Cancer

    Computational and Structural Biotechnology

    BioData Mining

    Discover Social Science and Health

    BMC Bioinformatics

    Health Policy and Technology

    Results in Engineering

    Heliyon


    2023,腾讯犀牛鸟精英人才称号。

    2021 & 2022,香港城市大学优秀学术表现奖。