职  称:讲师
研究方向:
办公电话:
办公地点:
电子邮件:lihz857@nenu.edu.cn

个人简历

社会兼职

获奖情况 (数据来源:科学技术处、社会科学处)

  • 2017-12-31 吉林省自然科学学术成果奖二等奖
  • 2014-09-01 吉林省自然科学学术成果奖三等奖

教学信息 (数据来源:教务处)

  • 三维动画制作

科研信息 (数据来源:科学技术处、社会科学处)

  • 项目:
  • 1. PDM产品数据综合信息管理系统,2020年
  • 2. 基于人工智能方法提高(预测)量子化学计算分子键能的精度研究,2015年
  • 3. 结合计算机人工智能方法与量子化学计算提高分子键能精度的研究,吉林省科技厅,2013年
  • 专著:
  • 1. 量子化学与人工智能计算在分子键能中的应用,吉林人民出版社,01-6年
  • 论文:
  • 1. Efficient corrections for DFT noncovalent interactions based on ensemble learning models,J CHEM INF MODEL,2019年
  • 2. SPXYE: an improved method for partitioning training and validation sets,CLUSTER COMPUT,2019年
  • 3. HSPXY: A hydbrid-correlation and diversity-distances based data partition method,J CHEMOMETR,2019年
  • 4. Correlation and redundancy on machine learning performance for chemical databases,J CHEMOMETR,2018年
  • 5. Ensemble Learning for Overall Power Conversion Efficiency of the All-Organic Dye-Sensitized Solar Cells,IEEE ACCESS,2018年
  • 6. Predicting pathological response to neoadjuvant chemotherapy in breast cancer patients based on imbalanced clinical data,PERSONAL AND UBIQUITOUS COMPUTING,2018年
  • 7. A machine learning correction for DFT non-covalent interactions based on the S22, S66 and X40 benchmark databases,JOURNAL OF CHEMINFORMATICS,2016年
  • 8. A cascaded QSAR model for efficient prediction of overall power conversion efficiency of all-organic dye-sensitized solar cells,J COMPUT CHEM,2015年
  • 9. An Accurate and Efficient Method to Predict Y-NO Bond Homolysis Bond Dissociation Energies,MATH PROBL ENG,2013年
  • 10. 最小二乘支持向量机方法用于提高低水平量子化学方法计算吸收能的精度,CHEM J CHINESE U,2012年
  • 11. Generalized Regression Neural Network Based Quantitative Structure-Property Relationship for the prediction of absorption energy,Proceedings of 2012 National Conference on Information Technology and Computer Science,2012年
  • 12. A Promising Tool to Achieve Chemical Accuracy for Density Functional Theory Calculations on Y-NO Homolysis Bond Dissociation Energies,INT J MOL SCI,2012年
  • 13. 基于平均影响值的反向传播神经网络方法用于提高密度泛函理论计算Y—NO键均裂能精度,CHEM J CHINESE U,2012年
  • 14. Improving the Accuracy of Density Functional Theory (DFT) Calculation for Homolysis Bond Dissociation Energies of Y-NO Bond :Generalized Regression Neural Network Based on Grey Relational Analysis and Principal Component Analysis,INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES,2011年
  • 15. A two stage neural network-based personal identification system using handprint,NEUROCOMPUTING,2008年
  • 16. Hand-Based Personal Identification Using K-Means Clustering and Modified Zernike moments,Third international conference on natural computation(ICNC2007),2007年
  • 17. A Novel Hand-Based Personal Identification Approach,LECT NOTES COMPUT SC,2007年
  • 18. A novel system of palmprint identification using compound neural network,Pre-proceedings of the international conference bio-inspired computing theory and applications(BIC-TA2006),2006年
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