个人简历

个人信息
　　刘滨，男，1981年7月生，博士，教授，博士生导师，国家自然科学优秀青年基金获得者，北京市自然科学杰出青年基金获得者。2010年在哈尔滨工业大学获得博士学位，后赴美国俄亥俄州立大学从事博士后研究工作。2012年在哈尔滨工业大学（深圳）担任助理教授，2014年晋升为副教授，2015年聘任为博士生导师，2016年破格晋升为教授，2019年5月调转到北京理工大学工作
　　每年招博士生1名，硕士生3名，欢迎对自然语言处理、人工智能、及其在生命健康大数据分析的应用研究有兴趣的同学加入课题组。欢迎电话或邮件联系

研究领域

主要从事自然语言处理、人工智能，及其在生命健康大数据分析的应用研究"承担科研情况
　　主持国家自然科学基金青年基金、面上项目、优秀青年基金，作为参与单位主持国家自然科学基金重点项目，主持北京市杰青项目"

近期论文

代表性学术成果
　　发表SCI论文70余篇，其中5篇论文入选“中国百篇最具影响国际学术论文”。近两年代表性论文：
　　1.Bin Liu*, Xin Gao, Hanyu Zhang, BioSeq-Analysis2.0: an updated platform for analyzing DNA, RNA, and protein sequences at sequence level and residue level based on machine learning approaches. Nucleic Acids Research, 2019, 47(20):e127.
　　2.Junjie Chen, MingyueGuo, Shumin Li, Bin Liu*, ProtDec-LTR2.0: An improved method for protein remote homology detection by combining pseudo protein and supervised Learning to Rank. Bioinformatics, 2017, 33(21): 3473-3476.
　　3.Ke Yan, Xiaozhao Fang, Yong, Xu*, Bin Liu*. Protein Fold Recognition based on Multi-view Modeling. Bioinformatics, 2019, 35:2982-2990.
　　4.Bin Liu*, BioSeq-Analysis: a platform for DNA, RNA, and protein sequence analysis based on machine learning approaches. Briefings in Bioinformatics, 2019, 20(4):1280-1294.
　　5.Chen-Chen Li, Bin Liu*: MotifCNN-fold: Protein Fold Recognition based on Fold-specific Features Extracted by Motif-based Convolutional Neural Networks. Briefings in Bioinformatics, DOI: 10.1093/bib/bbz133.
　　6.Bin Liu*, Yulin Zhu, Key Ke, Fold-LTR-TCP: protein fold recognition based on triadic closure principle. Briefings in Bioinformatics, DOI: 10.1093/bib/bbz139.
　　7.Yumeng Liu, Xiaolong Wang, Bin Liu*, A comprehensive review and comparison of existing computational methods for intrinsically disordered protein and region prediction. Briefings in Bioinformatics, 2019, 20(1): 330-346.
　　8.Bin Liu*, Shuangyan Jiang, Quan Zou*: HITS-PR-HHblits: Protein Remote Homology Detection by Combining PageRank and Hyperlink-Induced Topic Search. Briefings in Bioinformatics, DOI: 10.1093/bib/bby104.
　　9.Zhourun Wu, Qing Liao, Bin Liu*: idenPC-MIIP: Identify protein complexes from weighted PPI networks using mutual important interacting partner relation. Briefings in Bioinformatics, DOI: 10.1093/bib/bbaa016.
　　10.Junjie Chen, MingyueGuo, Xiaolong Wang, Bin Liu*, A comprehensive review and comparison of different computational methods for protein remote homology detection. Briefings in Bioinformatics, 2018, 9(2):231-244.
　　11.Bin Liu*, Chen-Chen Li, and Ke Yan, DeepSVM-fold: Protein fold recognition by combining Support Vector Machines and pairwise sequence similarity scores generated by deep learning networks, Briefings in Bioinformatics, DOI: 10.1093/bib/bbz098.
　　12.Hang Wei, Bin Liu*. iCircDA-MF: Identification of CircRNA-Disease Associations based on Matrix Factorization. Briefings in Bioinformatics, DOI: 10.1093/bib/bbz057.
　　13.Quan Zou*, Pengwei Xing, Leyi Wei, Bin Liu*, Gene2vec: Gene Subsequence Embedding for Prediction of Mammalian N6‐Methyladenosine Sites from mRNA. RNA, 2019, 25(2):205-218.
　　14.Zhouren Wu, Qing Liao*, Bin Liu*, A comprehensive review and evaluation of computational methods for identifying protein complexes from protein-protein interaction networks, Briefings in Bioinformatics, DOI: 10.1093/bib/bbz085.
　　15.Bin Liu*, Junjie Chen, Mingyue Guo, Xiaolong Wang, Protein remote homology detection and fold recognition based on Sequence-Order Frequency Matrix. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019, 16(1):292-300.
　　16.Ke Yan, Jie Wen, Jin-Xing Liu, Yong Xu*, Bin Liu*, Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores. IEEE/ACM Transactions on Compuational Biology and Bioinformatics, DOI: 10.1109/TCBB.2020.2966450.
　　17.Hang Wei, Qing Liao, Bin Liu*, iLncRNAdis-FB: identify lncRNA-disease associations by fusing biological feature blocks through deep neural network. IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2020.2964221.
担任中国计算机学会（CCF）高级会员、生物信息学学会生物医学数据挖掘与计算专业组（筹）副主任、广东省生物信息学会常务理事、中国计算机学会生物信息学专业组常务委员、人工智能学会生物信息学与人工生命专委会委员、国际会议IEEE BIBM 2016 Tutorial共同主席、国际会议APBC14、APBC15、GIW/InCoB2015、GIW2016、ICBBB2020程序委员，担任多个国际期刊编委和四十余种SCI期刊的审稿人