[Projects,Award and Patent]

Chair of Department of Intelligence Engineering, doctoral supervisor

--In 2005, he graduated from the Department of automation in Nankai University with a doctor's degree

--From February 2009 to December 2010, he was a postdoctoral fellow at Bioinformatics Institute, University of Georgia, USA(supervisor: Professor Ying Xu, AAAS fellow)

--June 2011 August 2011 visiting scholar, Institute of bioinformatics, University of Georgia, USA

--From June 2015 to September 2015, he was a visiting scholar at Department of statistics and the Department of electronic computer of Rice University. ( cooperator: statistical machine learning expert and NSF career award winner, associate professor Genevera Allen)

He has published many papers in PNAS, bioinformatics and Nucleic Acids Research, including one 2019 ESI 0.1% hot paper (451 times cited by SCI). At present, it has established close research cooperation with the Department of statistics and computer of Rice University, the Institute of bioinformatics in the University of Georgia, Baylor School of medicine and RIKEN（RIkagaku KENkyusho/Institute of Physical and Chemical Research, Japan）.

The laboratory welcomes and recruits master's students majoring in artificial intelligence, control science and engineering, operations research and cybernetics who are interested in machine learning, deep learning and data science research.

Doctoral students majoring in artificial intelligence, control science and engineering, operations research and cybernetics can be recruited. Students interested in doctoral studies can be contacted directly by e-mail. In the past three years, the number of doctoral students jointly trained by CSC has been sufficient.

Introduction to DSCI lab: 

Data Science and Computational Intelligence lab was established in the 1990s. The former lab of computational intelligence and financial system has won a number of national, provincial and ministerial awards such as the third prize of national scientific and technological progress award and the second prize of Tianjin Natural Science award. It has cultivated a large number of senior talents and industry leaders in the information industry, such as the general manager of UFIDA financial company, Assistant president of iSoftStone, general manager of Guotai Junan department, etc. In recent years, it has focused on the research on frontier issues of data science and artificial intelligence, published many research papers, and established close academic ties with high-level research institutions such as Rice University, Purdue University, Indiana University and Japan Institute of Physical and Chemical Research. Some application results are reported by Tianjin North network.

In recent years, some graduates of the research office have gone abroad to study in the Department of computer and biological information of Chapel Hill of North Carolina University, the University of Southern California, Ohio State University and other well-known American universities, and some have worked in large it or Internet companies such as meituan.com, Huawei, ZTE, ByteDance and so on. Doctoral graduates go to international famous research institutions to do postdoctoral work.

[Publications and Books]

Selected papers

1. Wei Li, Qingqing Zhao, Han Zhang*, Xiongwen Quan, Jing Xu, and Yanbin Yin,Bayesian Multi-scale Convolutional Neural Network for Motif Occupancy Identification, 2020 BIBM,regular paper.CCF B 

2. Le Huang, Bowen Yang, Haidong Yi, Amina Asif, Jiawei Wang, Trevor Lithgow, Han Zhang, Fayyaz ul Amir Afsar Minhas, Yanbin Yin. AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses. Nucleic Acids Research, doi.org/10.1093/nar/gkaa857.

3. Shi, Zhuangwei; Zhang, Han*; Jin, Chen, A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations, BMC Bioinformatics,2021, 22(1): 589:1-589:11. 

4.Xiao Wang, Haidong Yi, Jia Wang, Zhandong Liu, Yanbin Yin, Han Zhang*. GDASC: A GPU parallel based web server for detecting hidden batch factors.Bioinformatics,doi.org/10.1093/bioinformatics/btaa427. 

5.Jing Xu, Han Zhang*, Jinfang Zheng, Philippe Dovoedo, Yanbin Yin Author Notes. eCAMI: simultaneous classification and motif identification for enzyme annotation.Bioinformatics, Volume 36, Issue 7, 1 April 2020, Pages 2068–2075

6.Haidong, Y. , Le, H. , Bowen, Y. , Javi, G. , Han, Z. , & Yanbin, Y. *.Acrfinder: genome mining anti-crispr operons in prokaryotes and their viruses. Nucleic Acids Research. https://doi.org/10.1093/nar/gkaa351 2020. 

7. Xin Su, Jing Xu, Yanbin Yin, Xiongwen Quan, Han Zhang*.Antimicrobial Peptide Identification Using Multi-scale Convolutional Network. BMC Bioinformatics,(2019) 20:730,doi.org/10.1186/s12859-019-3327-y 

8. Wei Li , Yanbin Yin , Xiongwen Quan, Han Zhang*. Gene Expression Value Prediction Based on XGBoost Algorithm. Frontiers in Genetics, 2019,12

9.Han Zhang, Xueting Huo, Xia Guo, Xin Su, Xiongwen Quan, and Chen Jin, A Disease-related Gene Mining Method Based On Weakly Supervised Learning Model，2018 BIBM, regular paper，CCF B.（extended to BMC Bioinformatics, 2019, 20）

10. Han Zhang, Tanner Yohe, Le Huang, Sarah Entwistle, Peizhi Wu,Zhenglu Yang, Peter Busk, Ying Xu, Yanbin Yin. dbCAN2: a meta server for automated carbohydrate-active enzyme annotation. Nucleic Acids Research(2018 Web Server-Issue), https://doi.org/10.1093/nar/gky418.  IF 11.561(new website http://bcb.unl.edu/dbCAN2/ ) 2019 ESI 0.1% （SCI cited 451）

11.Haidong Yi, ayush.raman, Han Zhang*, Genevera Allen,Zhandong Liu*. Detecting hidden batch factors through data adaptive adjustment for biological effects. Bioinformatics ,2017, doi: 10.1093/bioinformatics/btx635.

12.Xue Jiang; Han Zhang; Feng Duan; Xiongwen Quan. Identify Huntington's disease associated genes based on restricted Boltzmann machine with RNA-seq data. BMC Bioinformatics, December 2017, 18:447.

13.Huang, Le; Zhang, Han*; Wu, Peizhi; Entwistle, Sarah ; Li, Xueqiong; Yohe, Tanner ; Yi, Haidong; Yang, Zhenglu; Yin, Yanbin*. dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation. Nucleic Acids Research,doi:10.1093/nar/gkx894 ,，2018 IF 11.561 （new website http://bcb.unl.edu/dbCAN_seq/index.php）

14.Luyang Huo,Han Zhang*,Xueting Huo,Xueqiong Li,Yanbin Yin*. pHMM-tree: Phylogeny of Profile Hidden Markov Models. Bioinformatics ,2017,doi: 10.1093/bioinformatics/btw779

15.Yanbin Yin*, Zhang H.*, Olman, V., Xu, Y. (2010) Genomic arrangement of bacterial operons is constrained by biological pathways encoded in the genome. Proc Natl Acad Sci USA 107(14): 6310-6315 PubMed (*equal contribution), PNAS, contribute equally as first author, PubMed, http://www.ncbi.nlm.nih.gov/pubmed/20308592.

16.Zhang, H.*, Yanbin Yin*, Olman, V. and Xu, Y. (2012) Genomic arrangement of regulons in bacterial genomes. PLoS ONE, 10.1371/journal.pone.0029496.

17.Xizeng Mao, Han Zhang, Yanbin Yin, and Ying Xu. The percentage of bacterial genes on leading versus lagging strands is influenced by multiple balancing forces. Nucleic Acids Research, 2012, 1–9 doi:10.1093/nar/gks605，June 26, 2012

18.Qin Ma, Yanbin Yin, Mark A. Schell, Han Zhang, Guojun Li,and Ying Xu*,Computational analyses of transcriptomic data reveal the dynamic organization of the Escherichia coli chromosome under different conditions,Nucleic Acids Research ,2013, 1–10 doi:10.1093/nar/gkt261.

[Courses]

Undergraduate: probability theory and mathematical statistics, computer algorithm design and analysis, C + + advanced programming lab, Theory of Computation, power electronics technology, basis of modern control theory, modeling and identification

Graduate student: pattern recognition

[Memberships]

committee member of YAC of China Association of Automation

committee member of CCF bioinformatics Committee

committee member of biological information and artificial life, Chinese Association for Artificial Intelligence

Journal reviewer: bioinformatics, control theory and application, pattern recognition and artificial intelligence, 

international conference pc for bibm, etc·