科研工作简历

雷秀娟，陕西西安人，教授(2012-)，博士生导师(2013-)。2005.5以人才引进方式到伟德betvlctor体育官网任教。于2001.4、2005.5在西北工业大学获得工学硕士和博士学位，2005.6-2007.12在西北工业大学控制科学与工程博士后流动站工作。2009.10-2010.10在State University of New York at Buffalo，USA计算机科学与工程系访问（国家留基委公派访问学者）。2013.9-2014.8在北京大学信息科学技术学院访问（教育部青年骨干访问学者）。2014.12-2019.12任伟德betvlctor体育官网副院长。2019.12-2020.12在Georgia State University，USA计算机科学系访问（国家留基委公派访问学者）。曾去日本、新西兰、葡萄牙等国家进行学术交流。近年来连续入选斯坦福大学发布的全球前2%顶尖科学家榜单。主持国家自然科学基金4项，省部级项目3项，在SCI期刊发表研究论文100余篇，科学出版社出版专著2部，在John Wiley & Sons, Inc.、IGI Global和IET分别出版图书章节，授权国家发明专利10项，登记软件著作权20项，以第一完成人身份获陕西高等学校科学技术奖（自然科学奖）一等奖1项、陕西省科学技术奖（自然科学奖）二等奖1项。研究方向：人工智能、生物信息计算、智能优化、图机器学习、深度学习、数据挖掘。

学术任职

中国计算机学会(CCF)生物信息学专委会常务委员

中国人工智能学会(CAAI)生物信息与人工生命专委会常务委员

中国自动化学会(CAA)智能健康与生物信息专委会委员

中国生物信息学学会(CSB，筹)生物医学数据挖掘与计算专委会常务委员

中国生物工程学会(CSBT)计算生物学与生物信息学专委会委员

中国计算机学会(CCF)理论计算机科学专委会委员

陕西省计算机学会理事

陕西省生物信息学学会监事长

陕西省高等院校科学技术协会联合会理事

陕西省女科技工作者协会理事

CCF杰出会员，CAAI高级会员，IEEE Senior Member，ACM Member，SIGBIO Member

《IEEE-ACM Transactions on Computational Biology and Bioinformatics》编委

《Chinese Journal of Electronics》编委

《Big Data Mining and Analytics》编委

《Interdisciplinary Sciences-Computational Life Sciences》编委

《Computational Biomedicine》编委

《Frontiers of Computer Science》青年编委

《CAAI Artificial Intelligence Research》青年编委

社会任职

九三学社中央第一届、第二届青工委委员

九三学社陕西省第一届青工委副主任

九三学社伟德bevictor中文版第五届委员会主委

九三学社陕西省第十三届、十四届委员会常务委员

政协陕西省第十二届、十三届委员会常务委员

九三学社中央第十五届科技专门委员会委员

九三学社陕西省第十四届科技委员会副主任

学术论文

[1] 雷秀娟*，张文祥，刘恋．基于多数据融合的circRNA-疾病关联关系预测．中国科学·信息科学，May. 2021, 51(6): 927-939

[2] Xiujuan Lei*, Wenxiang Zhang. Logistic Regression Algorithm to Identify Candidate Disease Genes Based on Reliable Protein-protein Interaction Network. Science China-Information Sciences，May. 2021, 64(7): 179101

[3] Xiaoxuan Zhang, Xiujuan Lei*. Predicting miRNA-drug Interactions via Dual-Channel Network Based on TCN and BiLSTM. Frontiers of Computer Science, 2025, 19(5): 195905

[4] Yajing Guo, Xiujuan Lei*, et al. Prediction of circRNA-RBP Binding Sites Using a CNN-based Encoding and Decoding Framework. Chinese Journal of Electronics, Jan. 2024, 33 (1): 1-9 (CCF T1)

[5] Lin Guo, Xiujuan Lei*, et al. DualC: Drug-drug Interaction Prediction Based on Dual Latent Feature Extraction. IEEE Transactions on Emerging Topics in Computational Intelligence, https://doi.org/10.1109/TETCI.2024.3502414

[6] Mei Ma, Xiujuan Lei*. A Dual Graph Neural Network for Drug-Drug Interactions Prediction Based on Molecular Structure and Interactions. PLoS Computational Biology, Jan. 2023, 19(1): e1010812

[7] Chunyan Fan, Xiujuan Lei*, et al. CircR2Disease v2.0: An Updated Web Server for Experimentally Supported CircRNA-Disease Associations and Its Application. Genomics Proteomics & Bioinformatics, Jun. 2022, 20: 435-445

[8] Zhengfeng Wang, Xiujuan Lei*. Prediction of RBP Binding Sites on circRNAs Using a LSTM-based Deep Sequence Learning Architecture. Briefings in Bioinformatics, Nov. 2021, 22(6): bbab342

[9] Jing Yang, Xiujuan Lei*. Predict circRNA-disease Associations Based on Autoencoder and Graph Embedding. Information Sciences, Sep. 2021, 571: 323-336

[10] Yuchen Zhang, Xiujuan Lei*, et al. Prediction of Disease-Associated circRNAs via circRNA-Disease Pair Graph and Weighted Nuclear Norm Minimization. Knowledge-Based Systems, Feb.2021, 214: 106694

      Google Scholar：

     https://scholar.google.com/citations?hl=en&user=baqzftMAAAAJ&sortby=pubdate

著作（章节）

[1]雷秀娟，潘毅．《人工智能在生物信息学中的应用》，科学出版社，北京，2023.10

[2] 雷秀娟．《群智能优化算法及其应用》，科学出版社，北京，2012.8

[3] Yuchen Zhang, Xiujuan Lei, Ying Tan. Application of Fireworks Algorithm in Bioinformatics, in<Handbook of Research on Fireworks Algorithms and Swarm Intelligence>, book edited by Ying Tan, IGI Global, USA, Apr. 2020, pp.233-262 (invited Book Chapter)

[4] Shi Cheng, Hui Lu, Xiujuan Lei, Yuhui Shi. Brain Storm Optimization Algorithms: More Questions than Answers, in<Brain Storm Optimization Algorithms: Concepts, Principles and Applications>, book edited by Shi Cheng, Yuhui Shi, Springer Nature Switzerland, Jun.2019, pp.3-32(invited Book Chapter)

[5] Xiujuan Lei, Yuchen Zhang, Jie Zhao, Shi Cheng, Ying Tan. Firefly Algorithm and Its Applications, in<Swarm Intelligence: Innovation, New Algorithms and Methods>, book edited by Ying Tan, IET, London, United Kingdom, Aug.2018, pp.221-250 (invited Book Chapter)

[6] Shi Cheng, Quande Qin, Bin Liu, Xiujuan Lei, Yuhui Shi. Generalization Ability of Swarm, in<Swarm Intelligence: Principles, Current Algorithms and Methods>, book edited by Ying Tan, IET, Aug.2018, Volume1, pp.29-54 (invited Book Chapter)

[7] Xiujuan Lei, Fei Wang, Ying Tan. Swarm Intelligent Optimization Algorithms and Its Application in Mobile Robot Path Planning, in<Handbook of Research on Design, Control, and Modeling of Swarm Robotics>, book edited by Ying Tan, IGI Global, USA, 2015, Dec.2015, pp.286-318 (invited Book Chapter)

[8] Lei Shi, Xiujuan Lei, Aidong Zhang. Protein Functional Module Analysis with Protein-Protein Interaction (PPI) Networks, in<Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics>, book edited by Yi Pan, Jianxin Wang, and Min Li, John Wiley & Sons, Inc., USA, Oct.2013, pp. 393-411 (invited Book Chapter)

科研项目

[1] 国家自然科学基金(面上项目，资助号：62272288)：基于人工智能的药物分子结构研究及其在新冠肺炎药物发现中的应用，2023.1-2026.12，主持

[2] 国家自然科学基金(面上项目，资助号：61972451)：基于计算方法的circRNA功能挖掘及其与复杂疾病的关系预测研究，2020.1-2023.12，主持

[3] 国家自然科学基金(面上项目，资助号：61672334)：动态蛋白质网络复合物识别方法研究及其应用，2017.1-2020.12，主持

[4] 国家自然科学基金(青年科学基金项目，资助号：61100164)：PPI网络融合化智能信息流模型与算法及其评价研究，2012.1-2014.12，主持

获奖

科研

[1] 雷秀娟，等．高维多尺度生物大数据模式挖掘与疾病预测．陕西省科学技术奖(自然科学奖)二等奖，陕西省人民政府， 2020.4

[2] 雷秀娟，等．高维多尺度生物大数据模式挖掘与疾病预测．陕西高等学校科学技术奖(自然科学奖)一等奖，陕西省教育厅，2018.3

研究生培养

[3] 指导的2016级研究生方铭、2017级研究生张文祥荣获“2020年(首届)陕西省计算机学会优秀硕士论文”，2020.12

[4] 指导的2020级研究生陈亚丽获得2023年度陕西省优秀毕业生，2023.05

[5] 指导的15名研究生获得国家奖学金

[6] 伟德bevictor中文版2020-2021学年优秀导学团队，2021.06

教学

[7] 荣获2011年度校级教学质量优秀奖，2011.09

[8] 《数据结构》获第三批省级一流本科课程（2/5），2024.03

社会服务

[9] 荣获2016-2020年度九三学社中央脱贫攻坚民主监督先进个人，2021

[10] 荣获2022年度九三学社全国宣传思想工作先进个人，2022.12

[11] 荣获2021-2022年度九三学社中央参政议政先进个人，2023.12

[12] 荣获2024年度九三学社中央组织工作先进个人，2024.9

英文简介

Dr. Xiujuan Lei is presently a Professor and Ph.D. supervisor at the School of Computer Science, Shaanxi Normal University in Xi’an, China. She obtained her M.S. and Ph.D. degrees in Engineering from Northwestern Polytechnical University in 2001 and 2005 respectively. She was promoted to associate professor in 2006 and then advanced to full professor in 2012, furthermore, she became eligible to supervise doctoral students at Shaanxi Normal University in 2013. From 2014 to 2019, she held the position of vice dean at the School of Computer Science.

She was a visiting scholar at the Department of Computer Science and Engineering, State University of New York at Buffalo from 2009 to 2010, then at the School of Information Science and Technology, Peking University from 2013 to 2014, and later at the Department of Computer Science, Georgia State University in the US during 2019 - 2020. Her international academic visits to Japan, New Zealand and Portugal have broadened her horizons and enhanced her research perspectives.

She serves as a standing committee member of the Bioinformatics and Artificial Life Committee of the Chinese Association for Artificial Intelligence (CAAI), a standing committee member of the Bioinformatics Committee of the China Computer Federation (CCF), a member of the Theoretical Computer Science Committee of CCF, a member of Intelligent Health and Bioinformatics Committee of Chinese Association of Automation (CAA), a standing committee member of Biomedical Data Mining and Computing Committee of Chinese Society for Bioinformatics (CSB), a member of Computational Biology and Bioinformatics Committee of Chinese Society of Biotechnology (CSBT), etc. She is also a distinguished member of CCF, a senior member of CAAI, a member of IEEE, ACM, SIGBIO, CAA and CSBT.

She serves as Editorial Board Member of “IEEE-ACM Transactions on Computational Biology and Bioinformatics”, “Chinese Journal of Electronics”, “Big Data Mining and Analytics”, “Interdisciplinary Sciences: Computational Life Sciences” and “Computational Biomedicine”, Youth Editorial Board Member of “Frontiers of Computer Science” and “CAAI Artificial Intelligence Research”. She served as publicity chair or session chair and delivered speeches at many international conferences.

She has been granted four projects by the National Natural Science Foundation. She has published more than 100 research papers, which has received international recognition by her inclusion in the top 2% of global scientists list in recent years released by Stanford University of USA. She published 2 monographs “Artificial Intelligence and its Application in Bioinformatics” in 2023 and “Swarm Intelligence Optimization Algorithm and Its Application” in 2012 at China Science Publishing & Media Ltd, and published several book chapters in John Wiley & Sons, Inc., IGI Global and IET, respectively. She has won the Science and Technology Award of Shaanxi Universities (First Prize of Natural Science Award), the Science and Technology Award of Shaanxi Province (Second Prize of Natural Science Award).

Till now, 15 of her graduate students have won the National Scholarship of which 3 received financial support from CSC simultaneously to pursue doctoral degrees abroad and 1 of them passed CSC doctoral exchange program. Many of her graduate students are pursuing doctoral degrees in top universities in China such as Shanghai Jiaotong University, Tongji University and Beijing Institute of Technology, etc. Some have been to work in IT companies such as ThoughtWorks, Tencent Cloud Computing Xi'an Co., Ltd, etc. Furthermore, 2 of her graduate students received the 1st Excellent master's thesis of Shaanxi Computer Society in 2020. 1 graduate student won Excellent Graduates of Shaanxi province in 2023.

Her current research interests mainly include artificial intelligence, bioinformatics, intelligent computing, graph machine learning, deep learning and data mining.