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。2018年获湖南大学计算机科学与技术博士学位，主要研究方向：机器学习、智能生物信息处理、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6项。先后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，担任生物信息学顶级期刊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。

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，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

主要科研论文：

[1] 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. 2023. (SCI，中科院1区，IF：7.021)

[2] 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，中科院/JCR 1区，IF：13.944)

[3] 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，中科院/JCR 1区，IF: 13.944)

[4] 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 2区，IF：3.702）

[5] 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. Accept. 2023. (SCI, 中科院/JCR1区, IF: 13.994)

[6] Cheng Yang, Li Peng*, Wei Liu, Xiangzheng Fu，Ni Li. Nonnegative Matrix Factorization Framework for disease-related CircRNA prediction. 2022. ICA3PP. (CCF C类会议).

[7] 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, JCR3区，IF: 4.772)

[8] Wei Liu, Yi Jiang, Li Peng, Xingen Sun, Qi Zhao*, Huanrong Tang*, Inferring gene regulatory networks using the improved Markov blanket discovery algorithm, Interdisciplinary Sciences: Computational Life Sciences, 2021 (SCI, 中科院2区)

[9] 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，JCR2区)

[10] 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)

[11] 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. (SCI)

[12] 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)

[13] 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)

[14] 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)

[15] Wei Liang, Bo Liao*,Yan Jiang, Jing Long, Li Peng. Study on PUF based Secure Protection for IC Design. Microprocessors and Microsystems, 2016, 45(PA):56-66. (EI).

[16] Wei Liang*, Zhiqiang Ruan, Mingdong Tang, Li Peng. A Secure-efficient Data Collection Algorithm based on Self-adaptive Sensing Model in Mobile Internet of Vehicles, China Communication. 2016,2(13):121-129. (SCI).

[17] Wei Liang*, Yan Jiang, Li Peng, Yong Xie, Weidong Xiao. A Fixed Blocking Based Dispersed Information Hiding Algorithm for Multiple Carriers. J. Comput. Theor. Nanosci. 2015,12(10): 3722-3726. (EI)

[18] Liu Yang, Wei Liang, Li Peng, Li-Wang Zhu, Xin Qian，Yu-Feng Liu. Design and implementation of safety monitoring system for underground. 2015 Taylor & Francis Group, London, ISBN: 978-1-138-02794-7（EI）

[19] Li Peng, Manman Peng*, Keke Jing, Wei Liang，D-KSVD Used for Tumor Classification on the Gene Expression Profiles. Journal of Computational and Theoretical Nanoscience. 2015,12(12):6011–6015. (EI)

[20] Li Peng*, Jun Yan. A cluster-based routing tree construction algorithm for Wireless Sensor Networks. International Conference on Information Technology for manufacturing systems. 2011,06(58):2245-2250.( EI)

[21] Li Peng, Jian-bo Xu*, Wei Liang. Inter-Cluster Route Algorithm Based on the Gateway for Wireless Sensor Networks. Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology. 2011,8(3):1530-1533.(EI)

[22] Li Peng, Jian-bo Xu*. ECDGA:An energy-efficient cluster-based data gathering algorithm for Mobile Wireless Sensor Networks. International Conference on Computational Intelligence and Software Engineering. 2009.12.(EI)

[23] Bo Liao*, Yan Jiang, Li Peng, Damien Hanyurwimfura, et al. On Efficient Feature Ranking Methods for High-Throughput Data Analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2015,12(6):1374-1384. (SCI)

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

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