黃裕安，漢族，博士，現任西北工業大學長聘正教授。國家青年科學基金項目B類（國家優青）獲得者，西北工業大學“翱翔青年學者”。
人物簡介,發表論文,
人物簡介
黃裕安，西北工業大學計算機學院教授。2020年博士畢業於香港理工大學電子計算學系。主要從事生物醫學大數據、人工智慧與數據挖掘等方向研究。主持國家青年科學基金項目B類（國家優青），面上項目及青年科學基金C類，省級自然基金多項，西北工業大學“翱翔青年學者”。近年來，累計在Genome Biology，Advanced Science, Communications Biology，BMC Biology，Bioinformatics，PLoS Computational Biology，MIA, IEEE TNNLS/TCYB/TMI/TCBB/TBD/JBHI/TFS等學術期刊及AAAI、BIBM等國際會議上發表論文90餘篇, 谷歌引用4000餘次，H-index=36。受邀擔任《Journal of Computational Biophysics and Chemistry》等雜誌客座編輯、《BMC Artificial Intelligence》雜誌編委、BIBM、ICIC等CCF會議程式委員會委員，《Interdisciplinary Medicine》雜誌青年編委。
發表論文
[1] Huang Y-A#,*, Hu Y#, Li Y-C, Cao X-Y, Li X, Tan KC, You Z-H*, Huang Z-A*: scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis, IEEE Transactions on Medical Imaging 2026.
[2] Yan F, Du Z-H*, Huang Y-A*: DAGFormer: A graph-based domain adaptation approach for single-cell cancer drug response prediction, PLoS Computational Biology 2025, 21 (12), e1013832.
[3] Zhang C-X, Li Y-C, Li X, You Z-H, Huang Y-A*: Unsupervised Cell Clustering in Single-Cell RNA Sequencing Data Using a Multi-Graph Transformer, IEEE BIBM 2025.
[4] Zeng Z-Y, Cao X-Y, Li Y-C, You H-R, You Z-H*, Huang Y-A*: scTECTA: Asymmetric Deep Transfer Learning for Cross-Patient Tumor Microenvironment Single-Cell Annotation, IEEE Transactions on Computational Biology and Bioinformatics 2025, .
[5] Li Y-C, You H-R, Huang Y-A*: scGraphDap: Integrating Functional State Pseudo-labels and Graph Structure Learning for Robust Cell Type Annotation in Tumor Microenvironments, IEEE Journal of Biomedical and Health Informatics 2025.
[6] Du Z-H, Yi J, Li J-Q, You H-R, You Z-H, Huang Z-A, Huang Y-A*: scExGraph: Explainable Graph Neural Network for Predicting Tumor Environment Components with Single-cell Sequencing Data, Knowledge-Based Systems 2025, 114416.
[7] Li X, Li Y-C, You H-R, Shang X-Q, Wong L, Huang Z-A, You Z-H*, Huang Y-A*: scProGraph: a cell bagging strategy for cell type annotation with gene interaction-aware explainability, IEEE Transactions on Big Data 2025.
[8] He H, Tang Z, Chen G, Xu F, Hu Y, Feng Y, Wu J, Huang Y-A*, Huang Z-A*, Tan KC: scKAN: Interpretable Single-cell Analysis for Cell-type-specific Gene Discovery and Drug Repurposing via Kolmogorov-Arnold Networks, Genome Biology 2025, 26(1): 300.
[9] Huang Y-A#, Cao X#, You Z-H*, Li Y-C, Shang X-Q, Huang Z-A*: scGSDR: Harnessing Gene Semantics for Single-Cell Pharmacological Profiling, Communications Biology 2025, 8(1): 1508.
[10] Huang Y-A#,*, Li Y-C#, You Z-H*, Hu L, Hu P-W, Wang L, Peng Y, Huang Z-A*: Consensus representation of multiple cell-cell graphs from gene signaling pathways for cell type annotation, BMC Biology 2025, 23(1): 23.
[11] Zhang Y, Hu Y, Cai C, Huang Y-A*, Huang Z-A*, Tan KC: Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning, IEEE Transactions on Neural Networks and Learning Systems 2025, 36 (8), 15055-15069.
[12] Liu R, Hu Y, Wu J, Wong K-C, Huang Z-A*, Huang Y-A*, Tan KC: Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis, IEEE Transactions on Cybernetics 2024, 55 (3), 1121-1134.
[13] Huang Z-A, Hu P-W, Hu, L, You, Z-H, Tan, KC; Huang Y-A*: Towards Multilabel Classification for Multiple Disease Prediction Using Gut Microbiota Profiles, IEEE Transactions on Neural Networks and Learning Systems, 2024, 36 (7), 12840-12853.
[14] Cao X#, Huang Y-A#,*, You Z-H*, Shang X-Q, Hu L, Hu P-W: scPriorGraph:Constructing Biosemantic Cell-Cell Graphs with Prior Gene Set Selection for Cell Type Identification from scRNA-seq Data, Genome Biology, 2024, 25(1): 207.
[15] Du Z-H, Hu W-L, Li J-Q, Shang X-Q, You Z-H, Huang Y-A*: scPML: Pathway-based multi-view learning for cell type annotation from single-cell RNA-seq Data, Communications Biology, 2023, 6(1): 1268.
[16] Wang J, Pan G-Q, Li J-Q, Shang X-Q, You Z-H, Huang Y-A*: Deep-USIpred: identifying substrates of ubiquitin protein ligases E3 and deubiquitinases with pretrained protein embedding and bayesian neural network, IEEE BIBM, 2023.
[17] Li Y-C, You Z-H*, Yu C-Q, Wang L, Hu L, Hu P-W, Qiao Y, Wang X-F, Huang Y-A*: DeepCMI: a graph-based model for accurate prediction of circRNA–miRNA interactions with multiple information, Briefings in Functional Genomics 2023, elad030.
[18] Wu Y-H#, Huang Y-A#,*, Li J-Q, You Z-H, Hu P-W, Hu L, Leung Victor C.M., Du Z-H*: Knowledge Graph Embedding for profiling the interaction between transcription factors and their target genes, PLoS Computational Biology 2023, 19(6): e1011207.
[19] Huang Y-A, Pan G-C, Wang J*, Li J-Q*, Chen J, Wu Y-H: Heterogeneous graph embedding model for predicting interactions between TF and target gene, Bioinformatics 2022, 38 (9), 2554-2560.
[20] Huang Y-A, Chan KC, You Z-H*: Constructing prediction models from expression profiles for large scale lncRNA–miRNA interaction profiling. Bioinformatics 2018, 34(5):812-819.
[21] Huang Y-A, Hu P, Chan KC, You Z-H*: Graph convolution for predicting associations between miRNA and drug resistance. Bioinformatics 2020, 36(3):851-858.
[22] Huang Y-A, Chan KC, You Z-H*, Hu P, Wang L, Huang Z-A*: Predicting microRNA–disease associations from lncRNA–microRNA interactions via Multiview Multitask Learning. Briefings in Bioinformatics 2021, 22(3):bbaa133.
[23] Du Z-H, Wu Y-H, Huang Y-A*, Li J-Q*, Chen J, Pan G-C, You Z-H: GraphTGI: an attention-based graph embedding model for predicting TF-target gene interactions, Briefings in Bioinformatics 2022, 23 (3), bbac148.
[24] Chen X#, Huang Y-A#, You Z-H*, Yan G-Y, Wang X-S: A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases. Bioinformatics 2017, 33(5):733-739.
[25] Li Y-C, You Z-H*, Yu C-Q, Wang L, Wong L, Hu L, Hu P-W, Huang Y-A*: PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions. IEEE Journal of Biomedical and Health Informatics 2022.
[26] Hu P#, Huang Y-A#, Chan KC, You Z-H: Learning multimodal networks from heterogeneous data for prediction of lncRNA–miRNA interactions. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2019, 17(5):1516-1524.
[27] Huang Y-A, You Z-H*, Li X, Chen X, Hu P, Li S, Luo X: Construction of reliable protein–protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features. Neurocomputing 2016, 218:131-138.
[28] Huang Y-A, You Z-H*, Chen X: A systematic prediction of drug-target interactions using molecular fingerprints and protein sequences. Current Protein and Peptide Science 2018, 19(5):468-478.
[29] Huang Y-A, You Z-H*, Chen X, Chan K, Luo X: Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding. BMC Bioinformatics 2016, 17(1):1-11.
[30] Hu P#, Huang Y-A#, Mei J, Leung H, Chen Z-h, Kuang Z-m, You Z-h, Hu L: Learning from low-rank multimodal representations for predicting disease-drug associations. BMC Medical Informatics and Decision Making 2021, 21(1):1-13.
[31] Huang Y-A, You Z-H, Chen X, Yan G-Y: Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition. BMC Systems Biology 2016, 10(4):485-494.
[32] Huang Y-A#,*, Huang Z-A#, Li J-Q, You Z-H*, Wang L, Yi H-C, Yu C-Q: GBDR: A Bayesian Model for Precise Prediction of Pathogenic Microorganisms using 16S rRNA Gene Sequences. BMC Genomics 22, 916 (2021).
[33] Huang Y-A, You Z-H, Gao X, Wong L, Wang L: Using weighted sparse representation model combined with discrete cosine transformation to predict protein-protein interactions from protein sequence. BioMed Research International 2015.
[34] Huang Y-A, You Z-H, Chen X, Huang Z-A, Zhang S, Yan G-Y: Prediction of microbe–disease association from the integration of neighbor and graph with collaborative recommendation model. Journal of Translational Medicine 2017, 15(1):1-11.
[35] Huang Y-A, You Z-H, Li J, Wong L, Cai S: Predicting protein-protein interactions from amino acid sequences using SaE-ELM combined with continuous wavelet descriptor and PseAA composition. In: Intelligent Computing Theories and Methodologies: 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part II 11: 2015. Springer: 634-645.
[36] Jiang H-J, You Z-H*, Huang Y-A*: Predicting drug-disease associations via sigmoid kernel-based convolutional neural networks. Journal of Translational Medicine 2019, 17(1):1-11.
[37] Jiang H-J, Huang Y-A*, You Z-H*: Predicting drug-disease associations via using gaussian interaction profile and kernel-based autoencoder. BioMed Research International 2019.
[38] Sun Y, Zhu Z, You Z-H, Zeng Z, Huang Z-A*, Huang Y-A*: FMSM: a novel computational model for predicting potential miRNA biomarkers for various human diseases. BMC Systems Biology 2018, 12(9):57-68.
[39] Wong L, Huang Y-A*, You ZH*, Chen ZH, Cao MY: LNRLMI: Linear neighbour representation for predicting lncRNA‐miRNA interactions. Journal of Cellular and Molecular Medicine 2020, 24(1):79-87.
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