彭理，博士，副教授，硕士生导师，中国计算机学会CCF会员，湖南科技大学高层次人才计划青年创新人才，湖南科技大学区块链与可信安全技术研究所所长。主要研究方向为深度学习、人工智能药物发现、大数据、区块链等。近年来，在Briefings in Bioinformatics、TCBB、Bioinformatics等国内外重要期刊和会议上发表论文30余篇，申报国家发明专利和软件著作权12项。主持国家自然科学基金、湖南省自然科学基金、湖南省教育厅重点项目、优秀青年项目、湖南省教育厅教学改革研究等项目8项，参与国家重点研发计划、国家自然科学基金面上项目、湖南省自然科学基金等项目10余项。担任国家自然科学基金项目通讯评审专家、教育部学位论文通讯评审专家、湖南省科技计划项目评审专家，担任人工智能、生物信息学顶级期刊IEEE JBHI、BIB、TCBB等多家SCI期刊审稿人，担任IEEE BIBM等国际会议程序执行委员会委员。

研究生招生：

计算机科学与技术（学硕）和软件工程（学硕）、电子信息（专硕）

目前指导研究生9人，欢迎对人工智能、生物信息学等领域感兴趣的同学加入研究团队。请有意者发送简历和成绩单至plpeng@hnu.edu.cn

人工智能导论、数据库系统、大数据技术与应用

主要科研项目：

[1] 主持国家自然科学基金青年项目，61902125，miRNA与疾病相互作用预测及其在非小细胞肺癌分析中的应用研究，2020.1-2022.12

[2] 主持湖南省自然科学基金面上项目，2023JJ30264,基于人工智能的药物小分子-新靶点计算分析方法研究，2023.1-2025.12

[3] 主持湖南省自然科学基金青年项目，2019JJ50187，基于深度学习的肿瘤关联miRNA 挖掘方法研究，2019.1-2021.12

[4] 主持湖南省教育厅重点项目，22A0350，基于多源异构数据融合的疾病相关circRNA深度挖掘方法研究，2023.1-2025.12

[5] 主持湖南省教育厅优秀青年科研项目，18B209，计算机辅助肿瘤相关 miRNA 识别算法的研究及应用，2018.1-2020.12

[6] 主持湖南省教育厅一般科研项目，14C0438，海量传感器网络感知数据的组织与管理研究，2014.1-2016.12

[7] 主持湖南省教育厅教学研究与改革项目，HNJG-2022-0786,“产学研用”深度融合的高校数据库课程教学模式研究与实践，2022.5-2026.4

[8] 主持湖南科技大学教学研究与改革项目，905-G31118，“市场需求”与“项目管理”双驱动下数据库系统课程教学改革，2011.12-2013.12

[9] 参与国家重点研发计划项目，2017YFB0202901，面向E级计算的能源勘探高性能应用软件系统与示范，2017.1-2020.12

[10] 参与国家自然科学基金面上项目，61572188，面向数字集成电路知识产权保护的PUF基础理论与实时检测技术研究，2016.1-2019.12

[11] 参与湖南省教育厅重点科研项目，14A407，适用于集成电路知识产权保护的鲁棒PUF技术研究，2014.9-2017.12

[12] 参与湖南省自然科学基金项目，13JJ3091，基于VLSI的双重芯核水印关键技术研究，2013.1-2015.12

[1] Li Peng, Huaping Li, Sisi Yuan, Tao Meng, Yifan Chen, Xiangzheng Fu, Dongsheng Cao. metaCDA: A Novel Framework for CircRNA-Driven Drug Discovery Utilizing Adaptive Aggregation and Meta-Knowledge Learning. Journal of Chemical Information and Modeling. 65(4),2025. (SCI，JCR 1区，IF: 9.8)

[2] Li Peng,Cheng Yang, Jiahuai Yang, Yuan Tu, Qingchun Yu, Zejun Li, Min Chen, Wei Liang. Drug repositioning via Multi-view Representation Learning with Heterogeneous Graph Neural Network. IEEE Journal of Biomedical and Health Informatics. 2025. (SCI，JCR 1区，IF：7.021)

[3] Li Peng,Wang Wang, Cheng Yang, Wenhui Xiao,Xiangzheng Fu, Yifan Chen. Dual-Stream Heterogeneous Graph Neural Network Based on Zero-Shot Embeddings for Predicting miRNA-Drug Sensitivity. 2024 IEEE International Conference on Bioinformatics and Biomedicine. (BIBM).(CCF B类会议)

[4] Li Peng, Cheng Yang, Yifan Chen and Wei Liu. Predicting CircRNA-Disease associations via feature convolution learning with heterogeneous graph attention network. IEEE Journal of Biomedical and Health Informatics.27(6):3072-3082,2023. (SCI，JCR 1区，IF：7.021)

[5] Li Peng, Yuan Tu, Li Huang, Yang Li, Xiangzheng Fu, Xiang Chen. DAESTB: Inferring associations of small molecule-miRNA via a scalable tree boosting model based on deep autoencoder. Briefings in Bioinformatics. 2022. (SCI，JCR 1区，IF：11.622)

[6] Li Peng, Cheng Yang, Li Huang, Xiang Chen, Xiangzheng Fu and Wei Liu. RNMFLP: Predicting circRNA–disease associations based on robust nonnegative matrix factorization and label propagation. Briefings in Bioinformatics. 2022. (SCI，JCR 1区，IF: 11.622)

[7] Wei Liu, Ting Tang, Xu Lu, Xiangzheng Fu, Yu Yang, Li Peng*, MPCLCDA: Predicting circRNA-disease associations by using automatically selected meta-path and contrastive learning. Briefings in Bioinformatics. 2023. (SCI, JCR 1区, IF: 13.994) （通讯作者）

[8] Wei Liu, Yu Yang, Xu Lu, Xiangzheng Fu, Ruiqing Sun, Li Yang, Li Peng*, NSRGRN: a network structure refinement method for gene regulatory network inference, Briefings in Bioinformatics. 2023 May 19;24(3):bbad129. (SCI, JCR 1区, IF: 13.994) （通讯作者）

[9] Yuxun Luo, Wenyu Shan, Li Peng*, Lingyun Luo, Pingjian Ding, Wei Liang. A computational framework for predicting novel drug indications using graph convolutional network with contrastive learning. IEEE Journal of Biomedical and Health Informatics.2024. (SCI，JCR 1区，IF：7.021)（通讯作者）

[10] Yuhui Li, Wei Liang, Li Peng, Dafang Zhang, Cheng Yang, Kuan-Ching Li. Predicting Drug-Target Interactions via Dual-Stream Graph Neural Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2022.（SCI, JCR  1区，IF：3.702）

[11] Li Peng, Yujie Yang, Cheng Yang, Zejun Li, Ngai Cheong. HRGCNLDA: Forecasting of lncRNA-disease association based on hierarchical refinement graph convolutional neural network. Mathematical Biosciences and Engineering, 2024, 21(4): 4814-4834. (SCI, JCR 4区，IF: 2.6)

[12] Cheng Yang, Li Peng*, Wei Liu, Xiangzheng Fu，Ni Li. Nonnegative Matrix Factorization Framework for disease-related CircRNA prediction. 2022. ICA3PP. (通讯作者)

[13] Shuai Zhang, Xiang Chen, Li Peng*. scIAMC:Single-Cell Imputation via adaptive matrix completion. IEEE EdgeCom 2023. (通讯作者)

[14] Tao Huang, Xiang Chen, Li Peng*. ESR：Optimizing Gene Feature Selection for scRNA-seq data. IEEE CSCloud 2023. (通讯作者)

[15] Dejiang Wang, Zhuoran Zhai, Ngai Cheong, Li Peng. Script-Generated Picture Book Technology Based on Large Language Models and AIGC. 7th International Conference on Digital Technology in Education. ICDTE 2023.（通讯作者）

[16]Xiang Chen, Junnan Yu, Li Peng, Min Li. A deep graph convolution network with attention for clustering scRNA-seq data. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Istanbul, Turkiye, 2023.

[17] Yuxun Luo, Li Peng, Wenyu Shan, Mengyue Sun, Lingyun Luo, Wei Liang. Machine learning in the development of targeting microRNAs in human disease. Frontiers in Genetics. 2022. (SCI，JCR 2区，IF: 4.772)

[18] Lijun Cai, Xuanbai Ren, Xiangzheng Fu, Li Peng, Mingyu Gao,Xiangxiang Zeng*. iEnhancer-XG: interpretable sequence-based enhancers and their strength predictor. BIOINFORMATICS, 2020,1-8. (SCI，JCR 2区，IF: 4.69)

[19] Wei Liu, Xingen Sun, Li Peng, Lili Zhou, Hui Lin and Yi Jiang. RWRNET: A Gene Regulatory Network Inference Algorithm Using Random Walk With Restart. Frontiers in Genetics.2020.11:591461. (SCI，JCR 2区，IF: 2.521)

[20] Li Peng*, Dong Zhou*, Wei Liu, Liqian Zhou, Lei Wang, Bihai Zhao, Jialiang Yang. Prioritizing Human Microbe-Disease Associations Utilizing a Node-Information-Based Link Propagation Method, IEEE Access, vol. 8, 2020.1 (SCI)

[21] Li Peng, Manman Peng*, Bo Liao, Guohua Huang*, Weibiao Li. The Advances and Challenges of Deep Learning Application in Biological Big Data Processing. Current bioinformatics.2018.13:352-359. (SCI)

[22] Li Peng, Manman Peng*, Liao Bo, Wei Liang, Keqin Li. Improved low-rank matrix recovery method for predicting miRNA-disease association. Scientific Reports. 2017, 7(1):6007. (SCI)

[23] Li Peng, Manman Peng*, Liao Bo, Qiu Xiao, Keqin Li. A novel information fusion strategy based on a regularized framework for identifying disease-related microRNAs. RSC Advance,2017,7(70). (SCI)

部分专利与软件著作：

 [1] 大气粉尘远程监控系统软件v1.0, 2015SR173767.

[2] 基于FPGA的健身游戏机系统软件v1.0, 2015SR171654.

[3] 基于Leap Motion的可穿戴鼠标模拟系统软件v1.0, 2015SR170475.

[4] 宿舍智能健康打卡监测系统，2022SR0983524.

[5] 一种基于图注意力的疾病相关环状RNA识别方法，202210714604.7

[6] 一种基于深度学习的scRNA-seq缺失值填充方法，202310128876.3