Birth Date: December, 1981;
Birth Place: Harbin, PR China;
Party Member of CPC;
二、Education and Work Experience
Sep.2000-Jul.2004：Ocean University of China, B.Sc.
Sep.2004-Jul.2007：Ocean University of China, M.Sc.
Jul.2007-Aug.2012：Yanshan University, Lecturer
Sep.2012-Jul.2015：Ocean University of China, D.Sc.
Jul.2015-present：Northeastern University at Qinhuangdao, Lecturer.
三、Main course and research direction
Statistics，Bayesian Statistics，Probability Theory and Mathematics Statistics
四、Main achievements and honors
 Liang Kong, Lingfu Kong, Changwu Wang, Rong Jing, Lichao Zhang. Predicting protein structural class for low-similarity sequences via novel evolutionary modes of PseAAC and recursive feature elimination. Letters in Organic Chemistry, 2017,14(9):673-683.(SCI)
 Lichao Zhang, Liang Kong. A novel amino acid properties selection method for protein fold classification. Protein & Peptide Letters, 2020,27(4):278-294. (SCI)
 Lichao Zhang*, Liang Kong. iRSpot-ADPM: Identify recombination spots by incorporating the associated dinucleotide product model into Chou's pseudo components. Journal of Theoretical Biology. 2018,441(14):1-8. (SCI)
 Lichao Zhang*, Liang Kong. iRSpot-PDI: Identification of recombination spots by incorporating dinucleotide property diversity information into Chou's pseudo components. Genomics, 2019, 111(3): 457-464.
 Lichao Zhang, Liang Kong, Xiaodong Han, Jinfeng Lv. Structural class prediction of protein using novel feature extraction method from chaos game representation of predicted secondary structure. Journal of Theoretical Biology, 400 (2016): 1-10. (SCI)
 Lichao Zhang, Xiqiang Zhao, Liang Kong. Predict protein structural class for low-similarity sequences by evolutionary difference information into the general form of Chou's pseudo amino acid composition. Journal of Theoretical Biology, 355 (2014): 105-110. (SCI)
 Lichao Zhang, Xiqiang Zhao, Liang Kong. A novel predictor for protein structural class based on integrated information of the secondary structure sequence. Biochimie, 2014, (103):131-136. (SCI)
 Liang Kong, Lichao Zhang*, Jinfeng Lv. Accurate prediction of protein structural classes by incorporating predicted secondary structure information into the general form of Chou's pseudo amino acid composition. Journal of Theoretical Biology, 344 (2014): 12-18. (SCI)
 Liang Kong, Lichao Zhang*. Novel structure-driven features for accurate prediction of protein structural class. Genomics, 2014, 103(4): 292-297. (SCI)
 Lichao Zhang, Xiqiang Zhao, Liang Kong. A protein structural class prediction method based on novel features. Biochimie, 2013, 95(9):1741- 1744. (SCI)
 Xiqiang Zhao, Shuxia Liu, Lichao Zhang. An integrative method of mining genes related to complex disease like Clear Cell Renal Cell Carcinoma with mRNA microarray data. International Journal of Applied Mathematics and Statistics, 2013,40(10): 242-258 (EI)
 Lichao Zhang, Zihong Huang, Liang Kong. CSBPI_Site：Multi-Information Sources of Features to RNA Binding Sites Prediction. Submitted (Supplementary material )
 Lichao Zhang, Wenxin Zhang, Liang Kong. PS6mA-Rice: position-specic information-based computational model of DNA N6-methyladenine sites in rice genome. Submitted(Supplementary material )
Research on prediction model of protein domain folding pattern based on multi-sourse information fusion. National Natural Science Foundation of China (Grant No.61602100), 2017.1-2019.12, PI.
 In 2016, she won Excellent Guide Teacher award during the Hebei university student market survey and analysis competition.
 In 2017, she won the two prize for the progress of statistics, science and technology in Hebei province.
 In 2017, she obtained the excellent supervisor of the school level.
 In 2017, she obtained Teaching New Star Award.
 In 2017, she obtained Excellent Guide Teacher award during innovation and entrepreneurial education.
 In 2019, she obtained “three three three talents” in Hebei province.