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We stand with Ukraine

Yuzhong Peng

Orcid: 0000-0002-1958-8612

According to our database¹, Yuzhong Peng authored at least 34 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

DMMRL: Disentangled Multi-Modal Representation Learning via Variational Autoencoders for Molecular Property Prediction.

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CoRR, March, 2026

Causal discovery by continuous optimization with weighted superstructure.

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Neural Networks, 2026

2025

GEP-DNN4Mol: automatic chemical molecular design based on deep neural networks and gene expression programming.

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Health Inf. Sci. Syst., December, 2025

MSCoD: An Enhanced Bayesian Updating Framework with Multi-Scale Information Bottleneck and Cooperative Attention for Structure-Based Drug Design.

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CoRR, September, 2025

GCCNet: A Novel Network Leveraging Gated Cross-Correlation for Multi-View Classification.

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IEEE Trans. Multim., 2025

Automated C. elegans behavior analysis via deep learning-based detection and tracking.

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PLoS Comput. Biol., 2025

Dynamic debiasing of multi-hop fact verification via counterfactual reasoning.

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Knowl. Based Syst., 2025

AdaMM: An Adaptive Multimodal Model with Learnable Weights for Protein-Ligand Affinity Prediction.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

An three-in-one on-demand ride-hailing prediction model based on multi-agent reinforcement learning.

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Appl. Soft Comput., December, 2024

A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions.

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Appl. Intell., September, 2024

MvMRL: a multi-view molecular representation learning method for molecular property prediction.

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Briefings Bioinform., July, 2024

CDSC: Causal decomposition based on spectral clustering.

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Inf. Sci., February, 2024

CDRM: Causal disentangled representation learning for missing data.

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Knowl. Based Syst., 2024

Minimizing Enzyme Mass to Decompose Flux Distribution in Genome-Scale Metabolic Network for Identifying Active Elementary Flux Modes.

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Proceedings of the Applied Intelligence - Second International Conference, 2024

RePCMA-YOLOv8n: A Lightweight Traffic Sign Detection Model.

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Proceedings of the Applied Intelligence - Second International Conference, 2024

A Multi-module Hybrid Neural Framework for Transformer-Based Drug Response Prediction.

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Proceedings of the Applied Intelligence - Second International Conference, 2024

GEP-Graph4MD: An Automatic Molecular Generation Method Based on Gene Expression Programming with Graph-Based Modeling.

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Proceedings of the Applied Intelligence - Second International Conference, 2024

2023

MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model.

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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.

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Comput. Biol. Medicine, October, 2023

Imbalanced data classification: Using transfer learning and active sampling.

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Eng. Appl. Artif. Intell., 2023

Imputation of Compound Property Assay Data Using a Gene Expression Programming-Based Method.

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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.

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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>.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

A new clustering mining algorithm for multi-source imbalanced location data.

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Inf. Sci., 2022

An automatic hyperparameter optimization DNN model for precipitation prediction.

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Appl. Intell., 2022

2020

Enhanced Graph Isomorphism Network for Molecular ADMET Properties Prediction.

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IEEE Access, 2020

Overview of Intelligent Online Banking System Based on HERCULES Architecture.

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IEEE Access, 2020

2019

An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction.

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Int. J. Comput. Intell. Syst., 2019

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

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CoRR, 2019

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

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CoRR, 2019

TOP: Towards Better Toxicity Prediction by Deep Molecular Representation Learning.

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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.

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Proceedings of the Intelligent Computing Theories and Application, 2018

A Soft Computing-Based Daily Rainfall Forecasting Model Using ELM and GEP.

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Proceedings of ELM 2018, 2018

2017

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

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IEEE Access, 2017

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