Li Hong Hu

Orcid: 0000-0003-3792-2917

According to our database1, Li Hong Hu authored at least 14 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Predictions of photophysical properties of phosphorescent platinum(II) complexes based on ensemble machine learning approach.
J. Comput. Chem., 2024

2023
TFRegNCI: Interpretable Noncovalent Interaction Correction Multimodal Based on Transformer Encoder Fusion.
J. Chem. Inf. Model., February, 2023

2022
DeepNCI: DFT Noncovalent Interaction Correction with Transferable Multimodal Three-Dimensional Convolutional Neural Networks.
J. Chem. Inf. Model., 2022

Efficient prediction for high precision CO-N2 potential energy surface by stacking ensemble DNN.
J. Comput. Chem., 2022

Joint Wideband Spectrum and DOA Estimation with Compressed Sampling Based on L-Shaped Co-Prime Array.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022

2019
CT Image Analysis of Large Bone Flap Craniotomy for Severe Traumatic Brain Injury.
J. Medical Imaging Health Informatics, 2019

Efficient Corrections for DFT Noncovalent Interactions Based on Ensemble Learning Models.
J. Chem. Inf. Model., 2019

SPXYE: an improved method for partitioning training and validation sets.
Clust. Comput., 2019

AdaBoost Ensemble Correction Models for TDDFT Calculated Absorption Energies.
IEEE Access, 2019

2018
Predicting pathological response to neoadjuvant chemotherapy in breast cancer patients based on imbalanced clinical data.
Pers. Ubiquitous Comput., 2018

Ensemble Learning for Overall Power Conversion Efficiency of the All-Organic Dye-Sensitized Solar Cells.
IEEE Access, 2018

2016
A machine learning correction for DFT non-covalent interactions based on the S22, S66 and X40 benchmark databases.
J. Cheminformatics, 2016

2015
A cascaded QSAR model for efficient prediction of overall power conversion efficiency of all-organic dye-sensitized solar cells.
J. Comput. Chem., 2015

2009
An Improved Algorithm for Image Fractal Dimension.
Proceedings of the First International Workshop on Database Technology and Applications, 2009


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