Yu-An Huang

75 papers A* 1B 1Journal 54Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Better Eyes, Better Thoughts: Why Vision Chain-of-Thought Fails in Medicine.
CoRR
Yuan Wu, Zongxian Yang, Jiayu Qian, Songpan Gao, Guanxing Chen, Qiankun Li, Yu-An Huang, Zhi-An Huang
2026 A* conf
Dual-Channel Learning Framework for Zero-Shot CircRNA-miRNA Interaction Prediction via State Space Modeling.
AAAI
Mengmeng Wei, Lei Wang, Zhu-Hong You, Pengwei Hu, Bowei Zhao, Zhi-An Huang, Yu-An Huang, Haicheng Yi
2026 J jnl
MRGCDDI: Multi-Relation Graph Contrastive Learning Without Data Augmentation for Drug-Drug Interaction Events Prediction.
IEEE J. Biomed. Health Informatics
Yu Li, Lin-Xuan Hou, Zhu-Hong You, Yang Yuan, Cheng-Gang Mi, Yu-An Huang, Hai-Cheng Yi
2026 J jnl
Organfit: a multi-scale convolutional model with ellipse fitting for organoid identification.
Complex Intell. Syst.
Le Tong, Xinran Li, Tao Shu, Xun Deng, Feng Tan, Ze-min Kuang, Yu-An Huang, Zhuhong You, Lun Hu, Pengwei Hu, Wei Du
2026 J jnl
scGraphDap: Integrating Functional State Pseudo-Labels and Graph Structure Learning for Robust Cell Type Annotation in Tumor Microenvironments.
IEEE J. Biomed. Health Informatics
Yue-Chao Li, Hai-Ru You, Yu-An Huang
2026 J jnl
scProGraph: A Cell Bagging Strategy for Cell Type Annotation With Gene Interaction-Aware Explainability.
IEEE Trans. Big Data
Xinyuan Li, Yue-Chao Li, Hai-Ru You, Xuequn Shang, Leon Wong, Zhi-An Huang, Zhu-Hong You, Yu-An Huang
2025 J jnl
Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning.
IEEE Trans. Neural Networks Learn. Syst.
Yajie Zhang, Yao Hu, Chengjun Cai, Yu-An Huang, Zhi-An Huang, Kay Chen Tan
2025 — conf
CALM-AcPEP: Predicting Anticancer Peptides Using Cross-Attention and Pre-Trained Language Model.
ICIC (26)
Xinke Zhan, Tiantao Liu, Pratiti Bhadra, Yu-An Huang, Zhuhong You, Shirley W. I. Siu
2025 J jnl
CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis.
Medical Image Anal.
Yajie Zhang, Yu-An Huang, Yao Hu, Rui Liu, Jibin Wu, Zhi-An Huang, Kay Chen Tan
2025 J jnl
DAGFormer: A graph-based domain adaptation approach for single-cell cancer drug response prediction.
PLoS Comput. Biol.
Fen Yan, Zhihua Du, Yu-An Huang
2025 J jnl
Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis.
IEEE Trans. Cybern.
Rui Liu, Yao Hu, Jibin Wu, Ka-Chun Wong, Zhi-An Huang, Yu-An Huang, Kay Chen Tan
2025 J jnl
Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data.
CoRR
Yu-An Huang, Yue-Chao Li, Hai-Ru You, Jie Pan, Xiyue Cao, Xinyuan Li, Zhi-An Huang, Zhu-Hong You
2025 J jnl
Local-Global Structure-Aware Geometric Equivariant Graph Representation Learning for Predicting Protein-Ligand Binding Affinity.
IEEE Trans. Neural Networks Learn. Syst.
Shihong Chen, Haicheng Yi, Zhuhong You, Xuequn Shang, Yu-An Huang, Lei Wang, Zhen Wang
2025 J jnl
Toward Multilabel Classification for Multiple Disease Prediction Using Gut Microbiota Profiles.
IEEE Trans. Neural Networks Learn. Syst.
Zhi-An Huang, Pengwei Hu, Lun Hu, Zhu-Hong You, Kay Chen Tan, Yu-An Huang
2025 — conf
Unsupervised Cell Clustering in Single-Cell RNA Sequencing Data Using a Multi-Graph Transformer.
BIBM
Chu-Xuan Zhang, Yue-Chao Li, Xinyuan Li, Zhu-Hong You, Yu-An Huang
2025 J jnl
scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis.
CoRR
Yu-An Huang, Yao Hu, Yue-Chao Li, Xiyue Cao, Xinyuan Li, Kay Chen Tan, Zhu-Hong You, Zhi-An Huang
2025 J jnl
scExGraph: Explainable graph neural network for predicting tumor environment components with single-cell sequencing data.
Knowl. Based Syst.
Zhihua Du, Jiale Yi, Jian-Qiang Li, Hai-Ru You, Zhu-Hong You, Zhi-An Huang, Yu-An Huang
2025 J jnl
scGSDR: Harnessing Gene Semantics for Single-Cell Pharmacological Profiling.
CoRR
Yu-An Huang, Xiyue Cao, Zhu-Hong You, Yue-Chao Li, Xuequn Shang, Zhi-An Huang
2025 J jnl
scTECTA: Asymmetric Deep Transfer Learning for Cross-Patient Tumor Microenvironment Single-Cell Annotation.
IEEE Trans. Comput. Biol. Bioinform.
Zi-Yi Zeng, Xi-Yue Cao, Yue-Chao Li, Hai-Ru You, Zhu-Hong You, Yu-An Huang
2024 — conf
A Single-Cell Clustering Algorithm Based on Structure Perturbation Non-Negative Matrix Factorization.
BIBM
Hanjing Jiang, Meineng Wang, Luping Zhang, Yu-An Huang, Yangyuan Li, Yabing Huang
2024 J jnl
Attention-Based Learning for Predicting Drug-Drug Interactions in Knowledge Graph Embedding Based on Multisource Fusion Information.
Int. J. Intell. Syst.
Yu Li, Zhu-Hong You, Shu-Min Wang, Cheng-Gang Mi, Mei-Neng Wang, Yu-An Huang, Hai-Cheng Yi
2024 — conf
DNMDA: Deep Non-negative Matrix Factorization with Multi-level Integration for MiRNA-Drug Interaction Prediction.
BIBM
Yujie Qi, Jiaxin Yang, Yu-An Huang, Zhu-Hong You, Zimai Zhang, Lun Hu, Xi Zhou, Pengwei Hu
2024 — conf
GGANet: A Model for the Prediction of MiRNA-Drug Resistance Based on Contrastive Learning and Global Attention.
ICIC (LNBI 1)
Zimai Zhang, Bo-Wei Zhao, Yu-An Huang, Zhu-Hong You, Lun Hu, Xi Zhou, Pengwei Hu
2024 J jnl
Graph-Regularized Non-Negative Matrix Factorization for Single-Cell Clustering in scRNA-Seq Data.
IEEE J. Biomed. Health Informatics
Hanjing Jiang, Mei-Neng Wang, Yu-An Huang, Yabing Huang
2024 J jnl
Hybrid Bayesian Optimization-Based Graphical Discovery for Methylation Sites Prediction.
IEEE J. Biomed. Health Informatics
Ling-Yan Gu, Ting-Bo Chen, Jianqiang Li, Yu-An Huang, Zhihua Du, Victor C. M. Leung, Jie Chen
2024 J jnl
Integrated Knowledge Graph and Drug Molecular Graph Fusion via Adversarial Networks for Drug-Drug Interaction Prediction.
J. Chem. Inf. Model.
Yu Li, Zhu-Hong You, Yang Yuan, Cheng-Gang Mi, Yu-An Huang, Hai-Cheng Yi, Lin-Xuan Hou
2024 J jnl
Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network.
IEEE J. Biomed. Health Informatics
Bo-Wei Zhao, Yi-Zhou He, Xiao-Rui Su, Yue Yang, Guo-Dong Li, Yu-An Huang, Peng-Wei Hu, Zhu-Hong You, Lun Hu
2023 J jnl
A survey of transformer-based multimodal pre-trained modals.
Neurocomputing
Xue Han, Yitong Wang, Junlan Feng, Chao Deng, Zhan-Heng Chen, Yu-An Huang, Hui Su, Lun Hu, Pengwei Hu
2023 — conf
Deep-USIpred: identifying substrates of ubiquitin protein ligases E3 and deubiquitinases with pretrained protein embedding and bayesian neural network.
BIBM
Jia Wang, Gui-Qing Pan, Jian-Qiang Li, Xue-Qun Shang, Zhu-Hong You, Yu-An Huang
2023 J jnl
GKLOMLI: a link prediction model for inferring miRNA-lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm.
BMC Bioinform.
Leon Wong, Lei Wang, Zhu-Hong You, Chang-An Yuan, Yu-An Huang, Mei-Yuan Cao
2023 J jnl
Knowledge graph embedding for profiling the interaction between transcription factors and their target genes.
PLoS Comput. Biol.
Yang-Han Wu, Yu-An Huang, Jian-Qiang Li, Zhu-Hong You, Peng-Wei Hu, Lun Hu, Victor C. M. Leung, Zhihua Du
2023 J jnl
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions.
IEEE J. Biomed. Health Informatics
Yue-Chao Li, Zhu-Hong You, Changqing Yu, Lei Wang, Leon Wong, Lun Hu, Pengwei Hu, Yu-An Huang
2023 J jnl
SEBGLMA: Semantic Embedded Bipartite Graph Network for Predicting lncRNA-miRNA Associations.
Int. J. Intell. Syst.
Zheng-Yang Zhao, Jie Lin, Zhen Wang, Jianxin Guo, Xinke Zhan, Yu-An Huang, Chuan Shi, Wenzhun Huang
2023 — conf
TransOrga: End-To-End Multi-modal Transformer-Based Organoid Segmentation.
ICIC (3)
Yiming Qin, Jiajia Li, Yulong Chen, Zikai Wang, Yu-An Huang, Zhuhong You, Lun Hu, Pengwei Hu, Feng Tan
2023 J jnl
iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network.
Bioinform.
Bo-Wei Zhao, Xiao-Rui Su, Peng-Wei Hu, Yu-An Huang, Zhu-Hong You, Lun Hu
2022 J jnl
GraphTGI: an attention-based graph embedding model for predicting TF-target gene interactions.
Briefings Bioinform.
Zhihua Du, Yang-Han Wu, Yu-An Huang, Jie Chen, Gui-Qing Pan, Lun Hu, Zhu-Hong You, Jian-Qiang Li
2022 J jnl
Heterogeneous graph embedding model for predicting interactions between TF and target gene.
Bioinform.
Yu-An Huang, Gui-Qing Pan, Jia Wang, Jian-Qiang Li, Jie Chen, Yang-Han Wu
2022 J jnl
Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier.
BMC Bioinform.
Yang Li, Xuegang Hu, Zhu-Hong You, Li-Ping Li, Pei-Pei Li, Yan-Bin Wang, Yu-An Huang
2021 J jnl
A Sparse Feature Extraction Method with Elastic Net for Drug-Target Interaction Identification.
Sci. Program.
Zheng-Yang Zhao, Wenzhun Huang, Jie Pan, Yu-An Huang, Shanwen Zhang, Changqing Yu
2021 J jnl
A survey on computational models for predicting protein-protein interactions.
Briefings Bioinform.
Lun Hu, Xiaojuan Wang, Yu-An Huang, Pengwei Hu, Zhu-Hong You
2021 J jnl
IMS-CDA: Prediction of CircRNA-Disease Associations From the Integration of Multisource Similarity Information With Deep Stacked Autoencoder Model.
IEEE Trans. Cybern.
Lei Wang, Zhu-Hong You, Jian-Qiang Li, Yu-An Huang
2021 J jnl
NMFCDA: Combining randomization-based neural network with non-negative matrix factorization for predicting CircRNA-disease association.
Appl. Soft Comput.
Lei Wang, Zhu-Hong You, Xi Zhou, Xin Yan, Hao-Yuan Li, Yu-An Huang
2021 J jnl
Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning.
Briefings Bioinform.
Yu-An Huang, Keith C. C. Chan, Zhu-Hong You, Pengwei Hu, Lei Wang, Zhi-An Huang
2021 J jnl
SGANRDA: semi-supervised generative adversarial networks for predicting circRNA-disease associations.
Briefings Bioinform.
Lei Wang, Xin Yan, Zhu-Hong You, Xi Zhou, Hao-Yuan Li, Yu-An Huang
2020 — conf
A Gaussian Kernel Similarity-Based Linear Optimization Model for Predicting miRNA-lncRNA Interactions.
ICIC (2)
Leon Wong, Zhu-Hong You, Yu-An Huang, Xi Zhou, Mei-Yuan Cao
2020 J jnl
An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network.
Bioinform.
Lei Wang, Zhu-Hong You, Yu-An Huang, De-Shuang Huang, Keith C. C. Chan
2020 J jnl
GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm.
PLoS Comput. Biol.
Lei Wang, Zhu-Hong You, Yang-Ming Li, Kai Zheng, Yu-An Huang
2020 J jnl
Graph convolution for predicting associations between miRNA and drug resistance.
Bioinform.
Yu-An Huang, Pengwei Hu, Keith C. C. Chan, Zhu-Hong You
2020 — conf
Identification of Autistic Risk Genes Using Developmental Brain Gene Expression Data.
ICIC (2)
Zhi-An Huang, Yu-An Huang, Zhu-Hong You, Shanwen Zhang, Changqing Yu, Wenzhun Huang
2020 — conf
Information Systems Outsourcing Success- A Perspective of Information Processing Theory.
IMCOM
Ying Chieh Liu, Yu-An Huang
2020 J jnl
Learning Multimodal Networks From Heterogeneous Data for Prediction of lncRNA-miRNA Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform.
Pengwei Hu, Yu-An Huang, Keith C. C. Chan, Zhu-Hong You
2020 J jnl
Plant species recognition methods using leaf image: Overview.
Neurocomputing
Shanwen Zhang, Wenzhun Huang, Yu-An Huang, Chuanlei Zhang
2020 J jnl
Simultaneously Reducing Cutting Force and Tissue Damage in Needle Insertion With Rotation.
IEEE Trans. Biomed. Eng.
Chi-Lun Lin, Yu-An Huang
2020 J jnl
iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation.
PLoS Comput. Biol.
Kai Zheng, Zhu-Hong You, Jian-Qiang Li, Lei Wang, Zhen-Hao Guo, Yu-An Huang
2019 — conf
A Platform with Exquisite Film Profile Engineering in Oxide-Based Thin-Film Transistors for More-than-Moore Applications.
ASICON
Horng-Chih Lin, Yu-An Huang
2019 J jnl
An Efficient Ensemble Learning Approach for Predicting Protein-Protein Interactions by Integrating Protein Primary Sequence and Evolutionary Information.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zhu-Hong You, Wenzhun Huang, Shanwen Zhang, Yu-An Huang, Changqing Yu, Li-Ping Li
2019 — conf
Learning from Deep Representations of Multiple Networks for Predicting Drug-Target Interactions.
ICIC (2)
Pengwei Hu, Yu-An Huang, Zhuhong You, Shaochun Li, Keith C. C. Chan, Henry Leung, Lun Hu
2019 B conf
Parameterized Text Indexing with One Wildcard.
DCC
Arnab Ganguly, Wing-Kai Hon, Yu-An Huang, Solon P. Pissis, Rahul Shah, Sharma V. Thankachan
2019 — conf
Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences.
ICIC (2)
Yu-An Huang, Zhi-An Huang, Zhu-Hong You, Pengwei Hu, Li-Ping Li, Zheng-Wei Li, Lei Wang
2019 — conf
Predicting Hospital Readmission of Diabetics using Deep Forest.
ICHI
Pengwei Hu, Shaochun Li, Yu-An Huang, Lun Hu
2018 J jnl
A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases.
Bioinform.
Xing Chen, Yu-An Huang, Zhu-Hong You, Guiying Yan, Xuesong Wang
2018 J jnl
Constructing prediction models from expression profiles for large scale lncRNA-miRNA interaction profiling.
Bioinform.
Yu-An Huang, Keith C. C. Chan, Zhu-Hong You
2018 — conf
Discovering an Integrated Network in Heterogeneous Data for Predicting lncRNA-miRNA Interactions.
ICIC (1)
Pengwei Hu, Yu-An Huang, Keith C. C. Chan, Zhu-Hong You
2017 J jnl
A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases.
Bioinform.
Xing Chen, Yu-An Huang, Zhu-Hong You, Guiying Yan, Xuesong Wang
2017 J jnl
Factors Influence Intention to Adopt Internet Medical Information on Bulletin Boards: A Heuristic-Systematic Perspective.
J. Organ. End User Comput.
Ying Chieh Liu, Yu-An Huang
2016 J jnl
Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features.
Neurocomputing
Yu-An Huang, Zhu-Hong You, Xiao Li, Xing Chen, Pengwei Hu, Shuai Li, Xin Luo
2016 J jnl
Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition.
BMC Syst. Biol.
Yu-An Huang, Zhu-Hong You, Xing Chen, Guiying Yan
2016 J jnl
Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding.
BMC Bioinform.
Yu-An Huang, Zhu-Hong You, Xing Chen, Keith C. C. Chan, Xin Luo
2015 — conf
Detection of Protein-Protein Interactions from Amino Acid Sequences Using a Rotation Forest Model with a Novel PR-LPQ Descriptor.
ICIC (3)
Leon Wong, Zhu-Hong You, Shuai Li, Yu-An Huang, Gang Liu
2015 — conf
Predicting Protein-Protein Interactions from Amino Acid Sequences Using SaE-ELM Combined with Continuous Wavelet Descriptor and PseAA Composition.
ICIC (2)
Yu-An Huang, Zhu-Hong You, Jianqiang Li, Leon Wong, Shubin Cai
2011 J jnl
Developing a B2B Website Effectiveness Model for SMEs.
Internet Res.
Chad Lin, Yu-An Huang, Rosemary Stockdale
2010 — conf
B2B e-commerce adoption and implementation constraints and critical success factors in the healthcare organizations.
ICUIMC
Chad Lin, Ying Chieh Liu, Feng-Chia Li, Geoffrey Jalleh, Yu-An Huang, Zong-Ru Jhuang
2007 — conf
A Model of IT Evaluation Management: Organizational Characteristics, IT Evaluation Methodologies, and B2BEC Benefits.
EC-Web
Chad Lin, Yu-An Huang
2007 J jnl
An integrated framework for managing eCRM evaluation process.
Int. J. Electron. Bus.
Chad Lin, Yu-An Huang
2007 J jnl
Realising B2B e-commerce benefits: the link with IT maturity, evaluation practices, and B2BEC adoption readiness.
Eur. J. Inf. Syst.
Chad Lin, Yu-An Huang, Janice M. Burn