吕英华

主持或参加科研项目及人才计划项目情况:
[1] 国家自然科学基金（面上）项目，61672150，基于深度复合语境的视频事件识别模型研究、2017/01-2020/12、63万、在研、参加。
[2] 吉林省科技厅工业高新技术，20160204044GX，基于机器学习的量子化学计算校正系统、2016/01 -2018/12、40万、在研、参加。
[3] 吉林省科技厅工业高新技术，20150204041GX，基于拉曼光谱和机器学习的乳腺病灶良恶性鉴别系统、2015/01 - 2017/12、20万、在研、参加。
[4] 吉林省科技厅工业高新技术项目，20110364，基于机器学习的电子光谱能量预测系统、2011/06-2013/12、15万元，已结题、主持。

著作：
图像信息隐藏及其应用，吕英华著，科学出版社，2014

软件著作权：
[1] 吕英华、齐妙，视频中运动车辆检测系统软件，2014，中国，登记号：2014SR002545，证书号：软著登字第0671789号。
[2] 孔俊（东北师范大学）、吕英华，图像/视频互信息方法检索系统软件，2014，中国，登记号：2014SR002508，证书号：软著登字第0671752号。
[3] 李辉（东北师范大学）、吕英华，基于机器学习的电子光谱能量预测系统，2013，中国，登记号：2013SR129285，证书号：软著登字第0635047号。

获奖：
“高维数据的降维及相关问题”， 吉林省科学技术奖励委员会，吉林省科学技术奖自然科学奖，二等奖，2013。

主要论文（*为通讯作者）：
[1] Ting Gao, Hongzhi Li, Wenze Li, Lin Li, Chao Fang, Hui Li, Lihong Hu*, Yinghua Lu*, Zhongmin Su.
A Machine Learning Correction for DFT Non-covalent Interactions based on the S22, S66 and X40 Benchmark Databases,
JOURNAL OF CHEMINFORMATICS, 8(24): 1-17, 2016. SCI
[2] Ke Zhang, Fan Zhang, Jia Lu, Yinghua Lu*, Jun Kong, Ming Zhang*.
Local Structure Co-occurrence Pattern for Image Retrieval, J ELECTRON IMAGING, 25(2): 1-13, 2016. SCI
[3] Hui Sun, Qingji Guan, Qiaohong Hao, Jun Kong*, Yinghua Lu*, Miao Qi*.
Novel Framework for Improving the Desired Structure Prediction on Imbalance Data Set, ASIAN J CHEM, 26(17): 5839-5841, 2014. SCI
[4] Ming Zhang, Ke Zhang, Qinghe Feng, Jianzhong Wang, Jun Kong*, Yinghua Lu*.
A Novel Image Retrieval Method based on Hybrid Information Descriptors,
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 25(7): 1574-1587, 2014. SCI
[5] Miao Qi, Zhanmin Qin, Na Gao, Jun Kong*, Yuting Guo, Yinghua Lu*.
Sample-expand Method for Predicting the Specified Structure of Microporous Aluminophosphate,
Molecular Informatics, 158(1): 1-6, 2014. SCI
[6] Yuting Guo, Jianzhong Wang, Na Gao, Miao Qi, Ming Zhang, Jun Kong*, Yinghua Lu*. AlPOs Synthetic Factor Analysis
Based on Maximum Weight and Minimum Redundancy Feature Selection,
International Journal of Molecular Sciences, 14: 22132-22148, 2013. SCI
[7] Hongzhi Li, Lin Li, Ziyan Zhong, Yi Han, Lihong Hu*, Yinghua Lu*.
An Accurate and Efficient Method to Predict Y-NO Bond Homolysis Bond Dissociation Energies,
MATH PROBL ENG, 2013(860357): 1-10, 2013. SCI
[8] Miao Qi, Jinsong Li, Jianzhong Wang, Yinghua Lu*, Jun Kong*.
Prediction for Rational Synthesis based on Weighted Feature Selection Method, Molecular Informatics, 32(9-10): 765–774, 2013. SCI
[9] Jinsong Li, Yinghua Lu*, Jun Kong, NA Gao, Jihong Yu, Ruren Xu, Jiangzhon Wang, Miao Qi, Jiyang Li*.
Missing Value Estimation for Database of Aluminophosphate(AlPO) Syntheses, MICROPOR MESOPOR MAT, 173: 197-206, 2013. SCI
[10] Miao Qi, Jinsong Li, Jianzhong Wang, Yinghua Lu*, Jun Kong*.
A Novel Integrated Feature Selection Method for Rational Synthesis of Microporous Aluminophosphate,
Industrial & Engineering Chemistry Research, 51(51): 16734−16740, 2012. SCI
[11] Ting Gao, Bo Hank, Hui Li, Hongzhi Li, Yinghua Lu*, Zhongmin Su.
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, 33(12): 2734-2738, 2012. SCI
[12] Hui Li, Yinghua Lu*, Ting Gao, Hongzhi Li, Lihong Hu.
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, 332-335, 2012. SCI
[13] Yinghua Lu, Yuting Guo, Hui Sun, Ming Zhang, Jianzhong Wang*.
Feature Extraction using Composite Individual Genetic Programming: An Application to Mass Classification,
Applied Mechanics and Materials, 198(199): 468-473, 2012. EI
[14] Hongzhi Li, Lihong Hu, Wei Tao, Ting Gao, Hui Li, Yinghua Lu*, Zhongmin Su.
A Promising Tool to Achieve Chemical Accuracy for Density Functional Theory Calculations on Y-NO Homolysis Bond Dissociation Energies,
INT J MOL SCI, 13(7): 8051-8070, 2012. SCI
[15]Xiquan Yang*, Lin Yue*, Zhiqiang Ma, Yinghua Lu*.
An Ontology-Driven Approach Based on Fuzzy Equivalence Relation for Document Clustering Analysis,
ICIC Express Letters, 6(5): 1321-1327, 2012. EI
[16] Hongzhi Li, Wei Tao, Ting Gao, Hui Li, Yinghua Lu*, Zhongmin Su*.
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, 33(2 ): 346-352, 2012. SCI
[17] Pingping Sun, Wenhan Chen，Xing Wang, Bo Liu*, Yinghua Lu*.
Prediction of Antigen Epitopes on Protein Surfaces based on Support Vector Machine,
Advanced Materials Research, 393(395): 884-889, 2012. EI
[18] Pingping Sun, Wenhan Chen, Yanxin Huang*, Hongyan Wang, Zhiqiang Ma, Yinghua Lu*.
Epitope Prediction Based on Random Peptide Library Screening:
Benchmark Dataset and Prediction Tools Evaluation, MOLECULES, 16: 4971-4993, 2011. SCI
[19] Hongzhi Li, Wei Tao,Ting Gao, Hui Li, Yinghua Lu*, Zhongmin Su*.
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, 12(4): 2242-2261, 2011. SCI
[20] Miao Qi, Yinghua Lu*, Ning Du, Yinan Zhang, Chengxi Wang, Jun Kong*.
A Novel Image Hiding Approach based on Correlation Analysis for Secure Multimodal Biometrics,
Journal of Network and Computer Applications, 33(3): 247-257, 2010. SCI
[21]Miao Qi, Yinghua Lu*, Jianzhong Wang, Jun Kong*.
Prediction of Microporous Aluminophosphate AlPO4-5 Based on Resampling Using Partial Least Squares and Logistic Discrimination,
Molecular Informatics, 2010, 29(3): 203-210. SCI