职  称:教授
研究方向:人工智能应用
办公电话:043184536230
办公地点:415
电子邮件:lhhu@nenu.edu.cn

个人简历

教授,博士生导师,分别在香港大学及瑞典隆德大学进行了博士后的研究工作。目前从事计算机智能方法应用、数据挖掘、自然语言处理、知识图谱等方面的研究。承担国家自然科学基金面上项目等科研项目10余项,发表SCI检索论文40余篇。为本科生讲授CMM软件项目管理,数据挖掘等课程;为研究生讲授Linux操作系统和科学研究方法等课程。 相关论文: 1. Nonfullerene Acceptors for Organic Photovoltaics: From Conformation Effect to Power Conversion Efficiencies Prediction,Solar Rrl,2019年 2. Efficient corrections for DFT noncovalent interactions based on ensemble learning models,J CHEM INF MODEL,2019年 3. AdaBoost ensemble correction models for TDDFT calculated absorption energies,IEEE ACCESS,2019年 4. SPXYE: an improved method for partitioning training and validation sets,CLUSTER COMPUT,2019年 5. HSPXY: A hydbrid-correlation and diversity-distances based data partition method,J CHEMOMETR,2019年 6. Correlation and redundancy on machine learning performance for chemical databases,J CHEMOMETR,2018年 7. Predicting pathological response to neoadjuvant chemotherapy in breast cancer patients based on imbalanced clinical data,PERSONAL AND UBIQUITOUS COMPUTING,2018年 8. Improving the Performance of Long-Range-Corrected Exchange-Correlation Functional with an Embedded Neural Network,J PHYS CHEM A,2017年 9. A machine learning correction for DFT non-covalent interactions based on the S22, S66 and X40 benchmark databases,JOURNAL OF CHEMINFORMATICS,2016年 10. A cascaded QSAR model for efficient prediction of overall power conversion efficiency of all-organic dye-sensitized solar cells,J COMPUT CHEM,2015年

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

教学信息 (数据来源:教务处)

  • 化学信息学
  • CMM软件项目管理
  • 项目管理
  • 路由与交换技术实践

科研信息 (数据来源:科学技术处、社会科学处)

  • 项目:
  • 1. 基于数据挖掘的疑难杂症中医诊断模型,2016年
  • 2. 新型高效芴类光电材料的设计与合成,2014年
  • 3. 密度泛函理论结合机器学习方法提高大分子体系非共价键相互作用计算精度研究,2014年
  • 4. 新型高效有机芴类光电材料的设计与合成,吉林省科技厅,2012年
  • 论文:
  • 1. IMPContact: An Interhelical Residue Contact Prediction Method,BIOMED RESEARCH INTERNATIONAL,2020年
  • 2. Nonfullerene Acceptors for Organic Photovoltaics: From Conformation Effect to Power Conversion Efficiencies Prediction,Solar Rrl,2019年
  • 3. Efficient corrections for DFT noncovalent interactions based on ensemble learning models,J CHEM INF MODEL,2019年
  • 4. AdaBoost ensemble correction models for TDDFT calculated absorption energies,IEEE ACCESS,2019年
  • 5. SPXYE: an improved method for partitioning training and validation sets,CLUSTER COMPUT,2019年
  • 6. HSPXY: A hydbrid-correlation and diversity-distances based data partition method,J CHEMOMETR,2019年
  • 7. Correlation and redundancy on machine learning performance for chemical databases,J CHEMOMETR,2018年
  • 8. Ensemble Learning for Overall Power Conversion Efficiency of the All-Organic Dye-Sensitized Solar Cells,IEEE ACCESS,2018年
  • 9. Predicting pathological response to neoadjuvant chemotherapy in breast cancer patients based on imbalanced clinical data,PERSONAL AND UBIQUITOUS COMPUTING,2018年
  • 10. Improving the Performance of Long-Range-Corrected Exchange-Correlation Functional with an Embedded Neural Network,J PHYS CHEM A,2017年
  • 11. A machine learning correction for DFT non-covalent interactions based on the S22, S66 and X40 benchmark databases,JOURNAL OF CHEMINFORMATICS,2016年
  • 12. A cascaded QSAR model for efficient prediction of overall power conversion efficiency of all-organic dye-sensitized solar cells,J COMPUT CHEM,2015年
  • 13. Alternative approach to chemical accuracy: A neural networks-based first-principles method for heat of formation of molecules made of H, C, N, O, F, S, and CL,J PHYS CHEM A,2014年
  • 14. An Accurate and Efficient Method to Predict Y-NO Bond Homolysis Bond Dissociation Energies,MATH PROBL ENG,2013年
  • 15. 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
  • 16. Accurate reaction energies in proteins obtained by combining QM/MM and large QM calculations,J CHEM THEORY COMPUT,2012年
  • 17. 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
  • 18. Reorganization Energy for Internal Electron Transfer in Multicopper Oxidases,J PHYS CHEM B,2011年
  • 19. Comparison of Methods to Obtain Force-Field parameters for Metal Sites,J CHEM THEORY COMPUT,2011年
  • 20. Time-dependent density functional theory based Ehrenfest dynamics,J CHEM PHYS,2011年
  • 21. Accurate Predictions of Nonpolar Solvation Free Energies Require Explicit Consideration of Binding-Site Hydration,J AM CHEM SOC,2011年
  • 22. On the covergence of QM/MM energies,J CHEM THEORY COMPUT,2011年
  • 23. Improving the accuracy of density-functional theory calculation:The genetic algorithm and neural network approach,J CHEM PHYS,2007年
  • 24. Improving the Accuracy of Density-Functional Theory Calculation:The Statistical Correction Approach,J PHYS CHEM A,2004年
  • 25. 聚并苯和聚并吡啶类化合物非线性光学性质及其分子材料设计,高等学校化学学报,2002年
  • 26. [Ti(CO)6(MPEt3)]-(M=Au,Ag,Cu)配合物稳定性及其电子性质的量子化学研究,高等学校化学学报,2001年
  • 27. Electronic properties and structure of vulcanized polyacene,Synth. Met. ,2001年
  • 28. PM3/FF Studies on nonlinear optical properties of polyacene and its derivatives,Synth. Met. ,2001年
  • 29. Quantum chemical studies on intercalation of lithium into polyacene,Synth. Met. ,2001年
  • 30. Theoretical chemical study on NLO properties of polypyridinopyridine and its derivatives,Synth. Met. ,2001年
信息维护