Ting Gao

发表

Ensemble Learning for Overall Power Conversion Efficiency of the All-Organic Dye-Sensitized Solar Cells

Yunlong Liu, Hui Li, Ting Gao, 2018, IEEE Access.

An accurate density functional theory calculation for electronic excitation energies: the least-squares support vector machine.

Shiling Sun, Hongzhi Li, Ting Gao, 2009, The Journal of chemical physics.

Improving the Accuracy of Low Level Density Functional Theory Calculation for Absorption Energies: The Least Squares Support Vector Machine

Hai-Bin Li, Hongzhi Li, Ting Gao, 2010, 2010 International Conference on Intelligent Computation Technology and Automation.

Generalized Regression Neural Network Based Quantitative Structure-Property Relationship for the Prediction of Absorption Energy

Lihong Hu, Hongzhi Li, Ting Gao, 2012, ITCS 2012.

An effective method for accurate prediction of the first hyperpolarizability of alkalides

Hui Li, Hong-Zhi Li, Ting Gao, 2012, J. Comput. Chem..

Accurate prediction of heats of formation for c1-c16 alkanes: The genetic algorithm and neural network approach with simple input descriptors

Hongzhi Li, Ting Gao, Yinghua Lu, 2010, 2010 Second International Conference on Computational Intelligence and Natural Computing.

Accurate Prediction of the Optical Absorption Energies by Neural Network Ensemble Approach

Hui Li, Yinghua Lu, Ting Gao, 2010, 2010 Fifth International Conference on Frontier of Computer Science and Technology.

SPXYE: an improved method for partitioning training and validation sets

Hui Li, Chao Fang, Yinghua Lu, 2019, Cluster Computing.

Accurate Prediction of Transition Energies in Organic Molecules

Hui Li, Hong-Zhi Li, Ting Gao, 2010, 2010 Fifth International Conference on Frontier of Computer Science and Technology.

A Promising Tool to Achieve Chemical Accuracy for Density Functional Theory Calculations on Y-NO Homolysis Bond Dissociation Energies

H. Li, Ting Gao, Yinghua Lu, 2012, International journal of molecular sciences.

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

Ting Gao, Hui Li, H. Li, 2011, International journal of molecular sciences.

AdaBoost Ensemble Correction Models for TDDFT Calculated Absorption Energies

Ting Gao, Chao Fang, Yinghua Lu, 2019, IEEE Access.

A machine learning correction for DFT non-covalent interactions based on the S22, S66 and X40 benchmark databases

Hui Li, Hong-Zhi Li, Yinghua Lu, 2016, Journal of Cheminformatics.

A cascaded QSAR model for efficient prediction of overall power conversion efficiency of all‐organic dye‐sensitized solar cells

Hui Li, Hong-Zhi Li, Yinghua Lu, 2015, J. Comput. Chem..

Improving the accuracy of low level quantum chemical calculation for absorption energies: the genetic algorithm and neural network approach.

Hui Li, Ying-Hua Lu, Ting Gao, 2009, Physical chemistry chemical physics : PCCP.

HSPXY: A hybrid‐correlation and diversity‐distances based data partition method

Jia Liu, Yinghua Lu, Hui Li, 2019, Journal of Chemometrics.

Correlation and redundancy on machine learning performance for chemical databases

Yinghua Lu, Hui Li, Ting Gao, 2018 .

Thermal characteristic analysis of new structure in 850nm VCSEL

Hui Li, Y. Qu, Yon-Sup Pang, 2012, 2012 International Conference on Optoelectronics and Microelectronics.