Name: Liu Bin
Discipline: Computer Science and Technology
Title: Professor
Tel: 010-68911310
E-mail: bliu@bliulab.net
Address: 637A, School of Computer Science, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing Personal Information
Liu Bin, male, born in July 1981, Doctor, professor, doctoral supervisor, national leading talent. In 2010, he received his PhD from Harbin Institute of Technology and then went to Ohio State University for postdoctoral research. He was an assistant professor in Harbin Institute of Technology (Shenzhen) in 2012, promoted to associate professor in 2014, appointed as doctoral supervisor in 2015, promoted to professor in 2016, and transferred to Beijing Institute of Technology in May 2019.
Three doctoral students and three master's students are recruited every year. Students who are interested in big data, artificial intelligence, natural language processing, and its application in life and health big data analysis are welcome to join the research group. Contact us by phone or email.

Research Direction
He is mainly engaged in big data, artificial intelligence, natural language processing, and its application in life and health big data analysis.

Personal Information
Liu Bin, male, born in July 1981, Doctor, professor, doctoral supervisor, national leading talent. In 2010, he received his PhD from Harbin Institute of Technology and then went to Ohio State University for postdoctoral research. He was an assistant professor in Harbin Institute of Technology (Shenzhen) in 2012, promoted to associate professor in 2014, appointed as doctoral supervisor in 2015, promoted to professor in 2016, and transferred to Beijing Institute of Technology in May 2019.
Three doctoral students and three master's students are recruited every year. Students who are interested in big data, artificial intelligence, natural language processing, and its application in life and health big data analysis are welcome to join the research group. Contact us by phone or email.

Personal Information
Liu Bin, male, born in July 1981, Doctor, professor, doctoral supervisor, national leading talent. In 2010, he received his PhD from Harbin Institute of Technology and then went to Ohio State University for postdoctoral research. He was an assistant professor in Harbin Institute of Technology (Shenzhen) in 2012, promoted to associate professor in 2014, appointed as doctoral supervisor in 2015, promoted to professor in 2016, and transferred to Beijing Institute of Technology in May 2019.
Three doctoral students and three master's students are recruited every year. Students who are interested in big data, artificial intelligence, natural language processing, and its application in life and health big data analysis are welcome to join the research group. Contact us by phone or email.

Representative Academic Achievements
He has published more than 120 SCI papers, five of which were selected as "China's 100 Most Influential International Academic Papers".
Representative Papers:
(1) 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
(2) 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
(3) Yihe Pang; Bin Liu*; DMFpred: Predicting protein disorder molecular functions based on protein cubic language model, PLOS Computational Biology, 2022, 18(10): e1010668
(4) 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
(5) Yi-Jun Tang; Yi-He Pang; Bin Liu*; IDP-Seq2Seq: identification of intrinsically disordered regions based on sequence to sequence learning, Bioinformatics, 2020, 36(21): 5177-5186
(6) 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.
(7) Jialu Hou; Hang Wei; Bin Liu*; iPiDA-GCN: Identification of piRNA-disease associations based on Graph Convolutional Network, PLOS Computational Biology, 2022, 18(10): e1010671
(8) Wenxiang Zhang; Jialu Hou; Bin Liu*; iPiDA-LTR: Identifying piwi-interacting RNA-disease associations based on Learning to Rank, PLOS Computational Biology, 2022, 18(8): e1010404
(9) Yi-Jun Tang; Yi-He Pang; Bin Liu*; DeepIDP-2L: protein intrinsically disordered region prediction by combining convolutional attention network and hierarchical attention network, Bioinformatics, 2022, 38(5): 1252-1260 (Journal papers)
(10) 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
(11) 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
(12) 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
(13) Xiaopeng Jin; Qing Liao; Hang Wei; Jun Zhang; Bin Liu*; SMI-BLAST: a novel supervised search framework based on PSI-BLAST for protein remote homology detection, Bioinformatics, 2021, 37(7): 913-920
(14) 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
(15) 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): 5860-5875
Awards received
2023 National Science Foundation for Outstanding Young People
2022 Second Prize of Natural Science of Ministry of Education (ranked first)
2019-2020 List of Top 2% of the World's Top Scientists
2020, 2021, 2022 Elsevier China Highly Cited Scholars
2019 Beijing Natural Science Outstanding Youth Foundation
2019 Beijing Institute of Technology Special Young Scholars
2018 National Science Foundation for Outstanding Young People
2018 Huo Yingdong Young Teachers Fund of the Ministry of Education
2016 Natural Science Outstanding Youth Foundation of Guangdong Province 2016 Guangdong Special Support Program Young Top Talent
2016 Shenzhen Youth Technology Award
2016 Young Top Professor of Harbin Institute of Technology