羅淩雲，中科院軟件所博士，美國Case Western Reserve University博士後、訪問學者。2003网站太阳集团副教授、碩士研究生導師、十佳優秀教師，湖南省青年骨幹教師， 國家自然科學基金函評專家。主要研究方向為人工智能及大數據技術在醫學信息學領域的應用。近年來，主持國家自然科學基金、湖南省自然科學基金等課題十餘項，發表SCI/EI/Pubmed收錄論文二十餘篇。現任中文信息學會醫療知識圖譜工作組執行委員，美國醫學信息學協會 (AMIA)會員。研究生招生要求：具備科研熱情，有較強的邏輯思維能力、編程能力及英文寫作能力，有自主學習的積極性，專業背景不限。聯系方式：luoly<at>usc<dot>edu<dot>cn

1. 國家自然科學基金青年基金項目，61502221，大型複雜醫學領域本體質量評估理論研究，2016/01-2018/12，主持

2. 國家留學基金委地方合作項目，201708430227， “訪問學者”計劃， 2018/03-2019/03，主持

3. 湖南省自然科學基金青年項目，2019JJ50520，醫藥本體中層次語義關系平衡度問題研究，2019/01-2021/12，主持

4. 湖南省教育廳優秀青年項目，14B153，醫學領域本體SNOMED-CT質量評估模型建立及應用研究，2014/09-2017/08，主持

5. 湖南省“十三五”教育科學規劃課題，以提高交叉創新能力為導向的醫學信息工程專業人才培養模式研究，2017/09-2019/08，主持

6．衡陽市科技計劃項目，2014KJ15，基于互模拟的醫學本體對稱概念評價模型研究，2014/01-2015/12，主持

7．2003网站太阳集团“雙一流”創新團隊，2017SYL16，“醫療大數據”團隊，2017/07-2020/06，主持

8.2003网站太阳集团博士後啟動基金項目，2013XQD07，2013-至今, 主持

9.2003网站太阳集团研究生教研教改課題，2017JG014，2017-至今, 主持

10.2003网站太阳集团哲學社會科學基金，2014XYB12，2014-2016, 主持

11.2003网站太阳集团教研教改課題，2014XJG05，2014-2016, 主持

1.Zhong Y, Xi X, Shen C, Luo Y, Ding P,  Luo L*. Multitask Joint Learning with Graph Autoencoders for Predicting Potential MiRNA-Drug Associations. Artificial Intelligence In Medicine. November 2023(145): 102665. (SCI)

2.Shan W, Shen C, Luo L, Ding P*. Multi-task Learning for Predicting Synergistic Drug Combinations based on Auto-Encoding Multi-Relational Graphs. iScience 26, 108020, October 20, 2023  (SCI)

3.Chen C, Luo L*, Zheng C, Ding P, Liu H, Luo H. Self-prediction of relations in GO facilitates its quality auditing.  J Biomed Inform. 2023 Aug;144:104441. doi: 10.1016/j.jbi.2023.104441. (SCI)

4.Luo H, Li Y, Liu H, Ding P, Yu Y, Luo L*. SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information, Computational Biology and Chemistry, Volume 105, 2023,107905.107905. (SCI)

5.Wu Z, Li S, Luo L*, Ding P*. HKFGCN: A novel multiple kernel fusion framework on graph convolutional network to predict microbe-drug associations.  APBC 2023. (CCF)

6.Luo Y, Peng L, Shan W, Sun M, Luo L, Liang W. Machine learning in the development of targeting microRNAs in human disease. Frontiers in Genetics, January 2023.  (SCI)

7.Luo H, Shan W, Chen C, Ding P, Luo L*. Improving language model of human genome for DNA-protein binding prediction based on task-specific pre-training. Interdisciplinary Sciences: Computational Life Sciences. 2023 Mar;15(1):32-43.doi: 10.1007/s12539-022-00537-9. PMID: 36136096. (SCI)

8.Luo H, Chen C, Shan W, Ding P, Luo L*. iEnhancer-BERT: A novel transfer learning architecture based on DNA-language model for identifying enhancers and their strength. International Conference on Intelligent Computing August 7-11, 2022, Xi’an, China (CCF)

9.Zhong Y, Shen C, Wu H, Xu T, Luo L*. Improving the prediction of potential kinase inhibitors with feature learning on multisource knowledge. Interdisciplinary Sciences: Computational Life Sciences. 2022 Sep;14(3):775-785. doi: 10.1007/s12539-022-00523-1. PMID: 35536538.  (SCI)

10.Jiang S, Wu H, Luo L*. Infusing Biomedical Knowledge into BERT for Chinese Biomedical NLP Tasks with Adversarial Training[C]. Asia Service Sciences and Software Engineering Conference 2022.  (EI)

11.Wu H, Zhong Y, Tian Y, Jiang S, Luo L*. Automatic diagnosis of COVID-19 infection based on ontology reasoning. BMC Medical informatics and decision making. 2021. Nov 16;21(Suppl 9):271. doi: 10.1186/s12911-021-01629-0. (SCI)

12.Chen X, Luo L, Shen C, Ding P, Luo J. An In Silico Method for Predicting Drug Synergy Based on Multitask Learning. Interdisciplinary Sciences: Computational Life Sciences. 2021.(SCI)

13.Luo L*, Feng J, Wang J. Automatic Structuring of Ontology Terms Based on Lexical Granularity and Machine Learning: Algorithm Development and Validation. JMIR medical informatics. 8(11):e22333, 2020. (SCI)