Bin LIU
The Chair Professor in the Faculty of Engineering at SMBU
The head of the Group of Computer Science and Engineering
The director of the Lab of Bioinformatics and Biological Big Data
刘滨
工程系首席教授
计算机科学与工程团队负责人
生物信息学与生物大数据分析实验室主任
He received the bachelor’s, master’s degrees from the Harbin Engineering University in 2004 and 2007 respectively. He received the PhD degree from the Harbin Institute of Technology in 2010 and has been awarded the National Outstanding Young Scholar (2023), the National Excellent Young Scholar (2018), the Guangdong Outstanding Young Scholar (2016), the Beijing Outstanding Young Scholar (2019), and the CCF Outstanding Member. He has published more than 130 SCI papers in top-tier journals such as Bioinformatics, Nucleic Acids Research, PLoS Computational Biology, and BMC Biology, many of which have been selected as China's 100 Most Influential International Academic Papers. He serves as the deputy director of the Biomedical Data Mining and Computational Professional Group of the Bioinformatics Society, member of the Bioinformatics Special Interest Group (SIG) of China Computer Federation (CCF), member of the Professional Committee of Bioinformatics and Artificial Life of the China Association for Artificial Intelligence, the first member of the Professional Committee of Intelligent Health and Bioinformatics of the Chinese Association of Automation (CAA), and the executive director of the Computational Systems Biology Branch of the Operational Research Society of China (ORSC). He has won the Ho Ying-Tong Young Teachers Fund of Ministry of Education, the Shenzhen Youth Science and Technology Award, and the Second Prize of the Ministry of Education's Natural Science Award (first contributor).
Research interests: Big Data, Natural Language Processing and applications in the analysis of Life and Health Big Data
2004、2007年分别获得哈尔滨工程大学学士和硕士学位。2010年在哈尔滨工业大学获得博士学位、曾获国家杰青（2023）、国家优青（2018）、广东省杰青（2016）、北京市杰青（2019）、CCF杰出会员。在Bioinformatics、Nucleic Acids Research、PLoS Computational Biology、BMC Biology等权威期刊发表SCI论文130余篇，其中多篇论文入选中国百篇最具影响国际学术论文，担任生物信息学学会生物医学数据挖掘与计算专业组副主任、中国计算机学会生物信息学专委会委员、中国人工智能学会生物信息学与人工生命专委会委员、中国自动化学会智能健康与生物信息专委会首届委员、中国运筹学会计算系统生物学分会常务理事，曾获教育部霍英东青年教师基金、深圳市青年科技奖、教育部自然科学二等奖（第一完成人）等。
研究方向：主要从事大数据、自然语言处理、及其在生命健康大数据分析的应用研究。
Selected Papers
1. Ke Yan; Hongwu Lv; Yichen Guo; Wei Peng; Bin Liu*; sAMPpred-GAT: prediction of antimicrobial peptide by graph attention network and predicted peptide structure, Bioinformatics, 2023, 39(1): btac715
2. Yi-Jun Tang, Ke Yan, Xingyi Zhang, Ye Tian, Bin Liu*. Protein intrinsically disordered region prediction by combining Neural Architecture Search and Multi-objective genetic algorithm. BMC Biology 2023; DOI: 10.1186/s12915-023-01672-5
3. Ke Yan; Hongwu Lv; Yichen Guo; Yongyong Chen; Hao Wu; Bin Liu*; TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model, Bioinformatics, 2022, 38(10): 2712-2718
4. Yihe Pang; Bin Liu*; DMFpred: Predicting protein disorder molecular functions based on protein cubic language model, PLOS Computational Biology, 2022, 18(10): e1010668
5. Jun Zhang; Ke Yan; Qingcai Chen; Bin Liu*; PreRBP-TL: prediction of species-specific RNAbinding proteins based on transfer learning, Bioinformatics, 2022, 38(8): 2135-2143
6. Wenxiang Zhang; Bin Liu*; iSnoDi-LSGT: identifying snoRNA-disease associations based on local similarity constraints and global topological constraints, RNA, 2022, 28(12): 1558-1567
7. Hong-Liang Li; Yi-He Pang; Bin Liu*; BioSeq-BLM: a platform for analyzing DNA, RNA and protein sequences based on biological language models, Nucleic Acids Research, 2021, 49(22):e129
8. Xiaopeng Jin; Qing Liao; Bin Liu*; S2L-PSIBLAST: a supervised two-layer search framework based on PSI-BLAST for protein remote homology detection, Bioinformatics, 2021, 37(23): 4321-4327
9. Jun Zhang; Qingcai Chen; Bin Liu*; iDRBP_MMC: Identifying DNA-Binding Proteins and RNA Binding Proteins Based on Multi-Label Learning Model and Motif-Based Convolutional Neural Network, Journal of Molecular Biology, 2020, 432(22): 5860-587
10. 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
