Zhu‐Hong You

Biochemistry, Genetics and Molecular Biology · Life Sciences

70h-index17.3kcitations426works6.12yr avg
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Research Topics

Machine Learning in Bioinformatics(134), Cancer-related molecular mechanisms research(132), Bioinformatics and Genomic Networks(128), MicroRNA in disease regulation(103), Computational Drug Discovery Methods(96)

Publications426 total

SDAERFs: An efficient framework for protein-protein interaction prediction by integrating stacked denoising autoencoders and random ferns
iScience·2026Open Access
Organfit: a multi-scale convolutional model with ellipse fitting for organoid identification
Complex & Intelligent Systems·2025Open Access
Fuzzy Mixture-of-Experts Aggregation for Organoid Identification With Multiscale State Space Features
IEEE Transactions on Fuzzy Systems·2025
A multimodal information fusion framework for accurate and robust prediction of drug–drug interactions
Information Fusion·2025
scGSDR: Harnessing gene semantics for single-cell pharmacological profiling
Communications Biology·2025· 2 citedOpen Access
Development and initial clinical application of an early enteral nutrition protocol in oral cancer patients undergoing flap reconstruction surgery
Scientific Reports·2025Open Access
A Multisource Transformer-Guided Graph Representation Learning Framework for circRNA-Disease Association Prediction
ACS Omega·2025· 1 citedOpen Access
scExGraph: Explainable graph neural network for predicting tumor environment components with single-cell sequencing data
Knowledge-Based Systems·2025
BConformeR: A Conformer Based on Mutual Sampling for Unified Prediction of Continuous and Discontinuous Antibody Binding Sites
arXiv (Cornell University)·2025Open Access
Multi-hop graph structural modeling for cancer-related circRNA-miRNA interaction prediction
Pattern Recognition·2025· 18 cited
Prediction of Budd-Chiari syndrome based on attention mechanisms of high-risk factors in multi-hop graph learning
Science China Information Sciences·2025· 9 cited
Transformers in Protein: A Survey
arXiv (Cornell University)·2025Open Access
Hypergraph representation learning for identifying circRNA-disease associations
Pattern Recognition·2025· 1 cited
Integrating Transformer and Graph Attention Network for circRNA-miRNA Interaction Prediction
IEEE Journal of Biomedical and Health Informatics·2025· 19 cited
Local–Global Structure-Aware Geometric Equivariant Graph Representation Learning for Predicting Protein–Ligand Binding Affinity
IEEE Transactions on Neural Networks and Learning Systems·2025· 3 cited
MFSonar: Multiscale Frequency-Domain Contextual Denoising for Forward-Looking Sonar Image Semantic Segmentation
IEEE Sensors Journal·2025· 3 cited
Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data
arXiv (Cornell University)·2025Open Access
scGSDR: Harnessing Gene Semantics for Single-Cell Pharmacological Profiling
arXiv (Cornell University)·2025Open Access
Noise-Resilient With Scattering-Aware Network for SAR Image Semantic Segmentation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2025· 1 citedOpen Access
Predicting MiRNA-Disease Associations Using Chebyshev Graph Convolution and Graph
Lecture notes in computer science·2025
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Frequent Co-authors

Yu‐An Huang(11), Xing Chen(9), Shuai Li(8), Xin Luo(7), Lei Wang(7), MengChu Zhou(6), Keith C. C. Chan(6), Guiying Yan(5), De-Shuang Huang(5), Lun Hu(5), Pengwei Hu(5), Yunni Xia(4), Qingsheng Zhu(4), Hai-Cheng Yi(4), Tonghai Jiang(4), Kai Zheng(4), Chenggang Yan(3), Zhengwei Li(3), Lin Zhu(3), Shanwen Zhang(3)