彭理，博士，副教授，碩士生導師，中國計算機學會CCF會員，2003网站太阳集团高層次人才計劃青年創新人才，2003网站太阳集团區塊鍊與可信安全技術研究所所長。2018年獲湖南大學計算機科學與技術博士學位，主要研究方向：機器學習、智能生物信息處理、大數據、區塊鍊等。近年來，在Briefings in Bioinformatics、TCBB、Bioinformatics等國内外重要期刊和會議上發表論文30餘篇，申報國家發明專利和軟件著作權6項。先後主持國家自然科學基金、湖南省自然科學基金、湖南省教育廳重點項目、優秀青年項目、湖南省教育廳教學改革研究等項目8項，參與國家重點研發計劃、國家自然科學基金面上項目、湖南省自然科學基金等項目10餘項。擔任國家自然科學基金項目通訊評審專家、教育部學位論文通訊評審專家、湖南省科技計劃項目評審專家，擔任生物信息學頂級期刊BIB、TCBB等多家SCI期刊審稿人，擔任IEEE BIBM等國際會議程序執行委員會委員。

主要科研項目：

[1] 主持國家自然科學基金青年項目，61902125，miRNA與疾病相互作用預測及其在非小細胞肺癌分析中的應用研究，2020.1-2022.12

[2] 主持湖南省自然科學基金面上項目，基于人工智能的藥物小分子-新靶點計算分析方法研究，2023.1-2025.12

[3] 主持湖南省自然科學基金青年項目，2019JJ50187，基于深度學習的腫瘤關聯miRNA 挖掘方法研究，2019.1-2021.12

[4] 主持湖南省教育廳重點項目，22A0350，基于多源異構數據融合的疾病相關circRNA深度挖掘方法研究，2023.1-2025.12

[5] 主持湖南省教育廳優秀青年科研項目，18B209，計算機輔助腫瘤相關 miRNA 識别算法的研究及應用，2018.1-2020.12

[6] 主持湖南省教育廳一般科研項目，14C0438，海量傳感器網絡感知數據的組織與管理研究，2014.1-2016.12

[7] 主持湖南省教育廳教學研究與改革項目，HNJG-2022-0786,“産學研用”深度融合的高校數據庫課程教學模式研究與實踐，2022.5-2026.4

[8] 主持2003网站太阳集团教學研究與改革項目，905-G31118，“市場需求”與“項目管理”雙驅動下數據庫系統課程教學改革，2011.12-2013.12

[9] 參與國家重點研發計劃項目，2017YFB0202901，面向E級計算的能源勘探高性能應用軟件系統與示範，2017.1-2020.12

[10] 參與國家自然科學基金面上項目，61572188，面向數字集成電路知識産權保護的PUF基礎理論與實時檢測技術研究，2016.1-2019.12

[11] 參與湖南省教育廳重點科研項目，14A407，适用于集成電路知識産權保護的魯棒PUF技術研究，2014.9-2017.12

[12] 參與湖南省自然科學基金項目，13JJ3091，基于VLSI的雙重芯核水印關鍵技術研究，2013.1-2015.12

主要科研論文：

[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區，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區，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區，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區，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區, 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類會議).

[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區，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區)

[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區)

[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)

專利與軟件著作：

[1] 大氣粉塵遠程監控系統軟件v1.0, 2015SR173767.

[2] 基于FPGA的健身遊戲機系統軟件v1.0, 2015SR171654.

[3] 基于Leap Motion的可穿戴鼠标模拟系統軟件v1.0, 2015SR170475.

[4] 宿舍智能健康打卡監測系統，2022SR0983524.

[5] 一種基于圖注意力的疾病相關環狀RNA識别方法，202210714604.7

[6] 一種基于深度學習的scRNA-seq缺失值填充方法，202310128876.3

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