周立前（1970.09-），男，汉族，湖南涟源人，中共党员，博士，教授，博士生导师，湘潭大学博士生导师，湖南工业大学继续教育学院院长，CCF会员，湖南省计算机学会常务理事，湖南省物联网学会常务理事，湖南省高教学会计算机专业指导委员会常务理事，国家一流专业建设点“计算机科学与技术”专业负责人，湖南省计算机类大学生创新创业教育中心负责人，Frontiers in Genetics客座副编辑。研究方向为智能信息处理，主持国家自然科学基金面上项目、湖南省自然科学基金、湖南省科技计划项目等10余项，参与国家自然科学基金、湖南省科技计划重点项目等8项，发表学术论文50余篇，其中30多篇被SCI收录。2009年获湖南省自然科学二等奖。

主要科研论文

1. Lihong Peng, Feixiang Wang, Zhao Wang, Jingwei Tan, Li Huang, Xiongfei Tian, Guangyi Liu and Liqian Zhou*. Cell–cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies. Briefings in Bioinformatics, 2022, 1-22.

2. Lihong Peng, Jialiang Yang, Minxian Wang and Liqian Zhou*. Editorial: Machine Learning-Based Methods for RNA Data Analysis. Frontiers in Genetics, 2022, 13: 828575.

3. Xiongfei Tian, Ling Shen, Pengfei Gao, Li Huang, Guangyi Liu, Liqian Zhou* and Lihong Peng*. Discovery of Potential Therapeutic Drugs for COVID-19 Through Logistic Matrix Factorization With Kernel Diffusion. Frontiers in microbiology, 2022, 13: 740382.

4. Lihong Peng*, Jingwei Tan, Xiongfei Tian, Liqian Zhou*. EnANNDeep: An Ensemble‑based lncRNA–protein Interaction Prediction Framework with Adaptive k‑Nearest Neighbor Classifer and Deep Models. Interdisciplinary Sciences: Computational Life Sciences, 2022, 14: 209–232.

5. Ling Shen, Fuxing Liu, Li Huang, Guangyi Liu, Liqian Zhou*, Lihong Peng*. VDA-RWLRLS: An anti-SARS-CoV-2 drug prioritizing framework combining an unbalanced bi-random walk and Laplacian regularized least squares. Computers in Biology and Medicine 2022, 140: 105119.

6. Lihong Peng, Ruya Yuan, Ling Shen, Pengfei Gao and Liqian Zhou*. LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification. BioData Mining, 2021, 14: 50.

7. Liqian Zhou, Qi Duan, Xiongfei Tian, He Xu, Jianxin Tang* and Lihong Peng*. LPI‑HyADBS: a hybrid framework for lncRNA‑protein interaction prediction integrating feature selection and classification. BMC Bioinformatics, 2021, 22: 568.

8. Liqian Zhou, Zhao Wang, Xiongfei Tian and Lihong Peng*. LPI‑deepGBDT: a multiple‑layer deep framework based on gradient boosting decision trees for lncRNA–protein interaction identification. BMC Bioinformatics, 2021, 22: 479.

9. Juanjuan Wang, Chang Wang, Ling Shen, Liqian Zhou* and Lihong Peng*. Screening Potential Drugs for COVID-19 Based on Bound Nuclear Norm Regularization. Frontiers in Genetics, 2021, 12: 749256.

10. Lihong Peng, Chang Wang, Xiongfei Tian, Liqian Zhou*, Keqin Li*. Finding lncRNA-protein Interactions Based on Deep Learning with Dual-net Neural Architecture. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 2021, 14(8): 3116232.

11. Xiongfei Tian, Ling Shen, Zhenwu Wang, Liqian Zhou* & Lihong Peng*. A novel lncRNA–protein interaction prediction method based on deep forest with cascade forest structure. Scientific Reports, 2021, 11: 18881.

12. Lihong Peng, Ling Shen, Junlin Xu, Xiongfei Tian, Fuxing Liu, Juanjuan Wang, GengTian, JialiangYang* & Liqian Zhou*. Prioritizing antiviral drugs against SARS‑CoV‑2 by integrating viral complete genome sequences and drug chemical structures. Scientific Reports, 2021, 11: 6248.

13. Lihong Peng, Ling Shen, Longjie Liao, Guangyi Liu and Liqian Zhou*. RNMFMDA: A microbe-disease association identification method based on reliable negative sample selection and logistic matrix factorization with neighborhood regularization. Frontiers in microbiology, 2020, 11: 592430.

14. Lihong Peng*, Xiongfei Tian, Ling Shen, Ming Kuang, Tianbao Li, Geng Tian, Jialiang Yang* and Liqian Zhou*. Identifying Effective Antiviral Drugs Against SARS-CoV-2 by Drug Repositioning Through Virus-Drug Association Prediction. Frontiers in Genetics, 2020, 11: 577387.

15. Liqian Zhou, Juanjuan Wang, Guangyi Liu, Qingqing Lu, Ruyi Dong, Geng Tian, Jialiang Yang*, Lihong Peng*. Probing antiviral drugs against SARS-CoV-2 through virus-drug association prediction based on the KATZ method. Genomics, 2020, 112: 4427-4434.

16. Xiaojun Liu, Lianxing Li, Lihong Peng, Bo Wang, Jidong Lang, Qingqing Lu, Xizhe Zhang, Yi Sun, Geng Tian, Huajun Zhang* and Liqian Zhou*. Predicting Cancer Tissue-of-Origin by a Machine Learning Method Using DNA Somatic Mutation Data. Frontiers in Genetics, 2020, 11:674.

17. Longxin Zhang, Liqian Zhou*, Ahmad Salah. Efficient scientific workflow scheduling for deadline-constrained parallel tasks in cloud computing environments. Information Sciences, 2020, 531: 31-46.

18. Fuxing Liu, Lihong Peng, Geng Tian, Jialiang Yang, Hui Chen, Qi Hu, Xiaojun Liu, Liqian Zhou*. Identifying small molecules-miRNA associations based on credible negative sample selection and random walk. Frontiers in Bioengineering and Biotechnology, 2020, 8: 131.

19. Lihong Peng, Xiongfei Tian, Geng Tian, Junlin Xu, Xin Huang, Yanbin Weng, Jialiang Yang*, Liqian Zhou*. Single-cell RNA-seq clustering: datasets, models, and algorithms. RNA Biology, 2020, 17(6): 765-783.

20. Xiaojun Liu, Shijun Li, Jidong Lang, Yuehua Wang, Lihong Peng, Weitao Wang, Yingmin Han, Cuixiao Qi, Lei Song, Shuangshuang Yang, Kaixin Zhang, Guoliang Zang, Hong Pei, Qingqing Lu, Yonggang Peng, Weiwei Wang, Dawei Yuan, Pingping Bing, Liqian Zhou*, Geng Tian*. Fragment Enrichment of Circulating Tumor DNA with Low-Frequency Mutations. Frontiers in Genetics, 2020, 11: 147.

21. Lihong Peng, Li-Qian Zhou*，Xing Chen*, Xue Piao*. A computational study of potential miRNA-disease association inference based on ensemble learning and kernel ridge regression. Frontiers in Bioengineering and Biotechnology, 2020, 8: 40.

22. Liqian Zhou, Zejun Li, Jialiang Yang, Geng Tian, Fuxing Liu, Hong Wen, Li Peng, Min Chen, Ju Xiang and Lihong Peng*. Revealing Drug-Target Interactions with Computational Models and Algorithms. Molecules, 2019, 24(9): 1714.

23. Li-qian Zhou, Ming Yin, Xi Xu and Xinpan Yuan. Non-contact detection of human rate with Kinect. Cluster Computing, 2019, 22: S8199-S8206.

专著及教材

信息技术导论，中南大学出版社，2019年，主编。

主持项目

1、 2021JJ30219，湖南省自然科学基金，基于机器学习的抗冠状病毒药物筛选研究，2021-2023。

2、 62072172，国家自然科学基金面上项目，基于机器学习的新冠肺炎药物重定位研究，2021-2024。

3、 横向项目：国产整机智能制造生产线关键技术研究及应用示范，湖南长城计算机系统有限公司，2019.09-2021.05，40万元。

4、 2016JJ5036，湖南省自然科学基金株洲联合基金，建筑能耗监测建模及其感知关键技术研究，2016-2018。

5、 13A004，湖南省教育厅重点项目，数学与信息理论方法识别长非编码基因， 2013-2015。

6、 13JJ3109，湖南省自然科学基金，基于非线性科学与信号处理方法的非编码基因识别研究，2013-2015。

7、 2011WK3032，湖南省国际合作项目，数学方法在病毒进化分析中的应用， 2011-2012。

8、 2009FJ3133，湖南省科技计划项目，分形与统计方法分析人类基因组DNA序列，2009-2010。

9、 09B102，湖南省教育厅优秀青年项目，统计与分形方法在人类基因组序列分析中的应用，2009-2012。

主要获奖与荣誉

2009，分形与小波理论及在生物信息和地球物理问题中的应用，湖南省科学技术奖自然科学二等奖，排名第三。