Yuzhong Peng

Orcid: 0000-0002-1958-8612

According to our database1, Yuzhong Peng authored at least 22 papers between 2017 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
An three-in-one on-demand ride-hailing prediction model based on multi-agent reinforcement learning.
Appl. Soft Comput., December, 2024

A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions.
Appl. Intell., September, 2024

CDSC: Causal decomposition based on spectral clustering.
Inf. Sci., February, 2024

CDRM: Causal disentangled representation learning for missing data.
Knowl. Based Syst., 2024

MvMRL: a multi-view molecular representation learning method for molecular property prediction.
Briefings Bioinform., 2024

2023
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model.
BMC Medical Informatics Decis. Mak., December, 2023

Unveiling the multi-target compounds of <i>Rhazya stricta</i>: Discovery and inhibition of novel target genes for the treatment of clear cell renal cell carcinoma.
Comput. Biol. Medicine, October, 2023

Imbalanced data classification: Using transfer learning and active sampling.
Eng. Appl. Artif. Intell., 2023

Imputation of Compound Property Assay Data Using a Gene Expression Programming-Based Method.
Proceedings of the Applied Intelligence - First International Conference, 2023

T-GraphDTA: A Drug-Target Binding Affinity Prediction Framework Based on Protein Pre-training Model and Hybrid Graph Neural Network.
Proceedings of the Applied Intelligence - First International Conference, 2023

GEP-DL4Mol: A Novel Molecular Deep-learning Model Optimization Framework for Boosting Molecular Properties Prediction<sup>*</sup>.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
A new clustering mining algorithm for multi-source imbalanced location data.
Inf. Sci., 2022

An automatic hyperparameter optimization DNN model for precipitation prediction.
Appl. Intell., 2022

2020
Enhanced Graph Isomorphism Network for Molecular ADMET Properties Prediction.
IEEE Access, 2020

Overview of Intelligent Online Banking System Based on HERCULES Architecture.
IEEE Access, 2020

2019
An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction.
Int. J. Comput. Intell. Syst., 2019

A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming.
CoRR, 2019

A Seft-adaptive Multicellular GEP Algorithm Based On Fuzzy Control For Function Optimization.
CoRR, 2019

TOP: Towards Better Toxicity Prediction by Deep Molecular Representation Learning.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Multicellular Gene Expression Programming-Based Hybrid Model for Precipitation Prediction Coupled with EMD.
Proceedings of the Intelligent Computing Theories and Application, 2018

A Soft Computing-Based Daily Rainfall Forecasting Model Using ELM and GEP.
Proceedings of ELM 2018, 2018

2017
Inferring Causal Direction From Multi-Dimensional Causal Networks for Assessing Harmful Factors in Security Analysis.
IEEE Access, 2017


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