Hongmin Cai
Orcid: 0000-0002-2747-7234
According to our database1,
Hongmin Cai
authored at least 147 papers
between 2006 and 2025.
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Bibliography
2025
Unsupervised Dual Deep Hashing With Semantic-Index and Content-Code for Cross-Modal Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025
2024
Accelerate Neural Subspace-Based Reduced-Order Solver of Deformable Simulation by Lipschitz Optimization.
ACM Trans. Graph., December, 2024
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Decomposing Neuroanatomical Heterogeneity of Autism Spectrum Disorder Across Different Developmental Stages Using Morphological Multiplex Network Model.
IEEE Trans. Comput. Soc. Syst., October, 2024
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024
Quaternion Tensor Left Ring Decomposition and Application for Color Image Inpainting.
J. Sci. Comput., October, 2024
IEEE Trans. Knowl. Data Eng., July, 2024
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024
Realize Generative Yet Complete Latent Representation for Incomplete Multi-View Learning.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Frontiers Comput. Sci., April, 2024
Improving Cancer Survival Prediction via Graph Convolutional Neural Network Learning on Protein-Protein Interaction Networks.
IEEE J. Biomed. Health Informatics, February, 2024
Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
Unsupervised Dual Hashing Coding (UDC) on Semantic Tagging and Sample Content for Cross-Modal Retrieval.
IEEE Trans. Multim., 2024
IEEE Trans. Pattern Anal. Mach. Intell., 2024
Dual-stream multi-dependency graph neural network enables precise cancer survival analysis.
Medical Image Anal., 2024
Knowl. Based Syst., 2024
Comput. Animat. Virtual Worlds, 2024
Accurate multi-view clustering to seek the cross-viewed yet uniform sample assignment via tensor feature matching.
Inf. Sci., 2024
Graph. Model., 2024
CoRR, 2024
Multiple-Crop Human Mesh Recovery with Contrastive Learning and Camera Consistency in A Single Image.
CoRR, 2024
Corrigendum to "DeepGA for automatically estimating fetal gestational age through ultrasound imaging" [Artif. Intell. Med. 135 (2023) 102453].
Artif. Intell. Medicine, 2024
Survival Analysis of Histopathological Image Based on a Pretrained Hypergraph Model of Spatial Transcriptomics Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
A Hierarchical Hypergraph Attention Network for Survival Analysis from Pathological Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024
Face Expression Recognition via Product-Cross Dual Attention and Neutral-Aware Anchor Loss.
Proceedings of the Computational Visual Media - 12th International Conference, 2024
2023
EURASIP J. Wirel. Commun. Netw., December, 2023
IEEE Trans. Knowl. Data Eng., October, 2023
IEEE Trans. Cybern., October, 2023
IEEE Trans. Cybern., September, 2023
AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images.
Patterns, September, 2023
A survey of drug-target interaction and affinity prediction methods via graph neural networks.
Comput. Biol. Medicine, September, 2023
Estimating Outlier-Immunized Common Harmonic Waves for Brain Network Analyses on the Stiefel Manifold.
IEEE J. Biomed. Health Informatics, May, 2023
DeepGA for automatically estimating fetal gestational age through ultrasound imaging.
Artif. Intell. Medicine, January, 2023
Deep Manifold Harmonic Network With Dual Attention for Brain Disorder Classification.
IEEE J. Biomed. Health Informatics, 2023
IEEE Trans. Cloud Comput., 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Identifying miRNA-Gene Common and Specific Regulatory Modules for Cancer Subtyping by a High-Order Graph Matching Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer's disease.
Medical Image Anal., 2023
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data.
CoRR, 2023
CoRR, 2023
Proceedings of the 2023 ACM International Conference on Interactive Media Experiences Workshops, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Discovering Brain Network Dysfunction in Alzheimer's Disease Using Brain Hypergraph Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
OSR-NET: Ordinary Differential Equation-Based Brain State Recognition Neural Network.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023
Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript.
Proceedings of the Brain Informatics - 16th International Conference, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
ACM Trans. Multim. Comput. Commun. Appl., 2022
NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images.
IEEE Trans. Medical Imaging, 2022
Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network.
IEEE Trans. Medical Imaging, 2022
IEEE J. Biomed. Health Informatics, 2022
Deep Multiview Clustering via Iteratively Self-Supervised Universal and Specific Space Learning.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
Pattern Recognit., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold.
BMC Medical Informatics Decis. Mak., 2022
SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance.
Medical Image Anal., 2022
Characterizing the propagation pathway of neuropathological events of Alzheimer's disease using harmonic wavelet analysis.
Medical Image Anal., 2022
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
CoRR, 2022
Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Manifold Learning in Detecting the Transitions of Dynamic Functional Connectivities Boosts Brain State-Specific Recognition.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
NPCFORMER: Automatic Nasopharyngeal Carcinoma Segmentation Based on Boundary Attention and Global Position Context Attention.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Accurate Multi-view Clustering by Exploiting Within-view High-order Affinities through Tensor Self-representation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Reler: Relearning Controversial Regions to Accurately Segment Nasopharyngeal Carcinoma.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses.
IEEE Trans. Medical Imaging, 2021
Multi-View Learning a Decomposable Affinity Matrix via Tensor Self-Representation on Grassmann Manifold.
IEEE Trans. Image Process., 2021
Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning.
Inf. Sci., 2021
Learning a consensus affinity matrix for multi-view clustering via subspaces merging on Grassmann manifold.
Inf. Sci., 2021
Neurocomputing, 2021
Fusion of multi-source retinal fundus images via automatic registration for clinical diagnosis.
Neurocomputing, 2021
BMC Bioinform., 2021
Survey and comparative assessments of computational multi-omics integrative methods with multiple regulatory networks identifying distinct tumor compositions across pan-cancer data sets.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Evaluation of gene-drug common module identification methods using pharmacogenomics data.
Briefings Bioinform., 2021
Effective and Adaptive Refined Multi-metric Similarity Graph Fusion for Multi-view Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Discovering Spreading Pathways of Neuropathological Events in Alzheimer's Disease Using Harmonic Wavelets.
Proceedings of the Information Processing in Medical Imaging, 2021
Multi-View Tensor Clustering Through Exploiting Both Within-View and Across-View High-Order Correlations.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Detection-and-Excitation Neural Network Achieves Accurate Nasopharyngeal Carcinoma Segmentation in Multi-modality MR Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Identifying "Many-to-Many" Relationships between Gene-Expression Data and Drug-Response Data via Sparse Binary Matching.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Identification of Multidimensional Regulatory Modules Through Multi-Graph Matching With Network Constraints.
IEEE Trans. Biomed. Eng., 2020
Enhancing multi-view clustering through common subspace integration by considering both global similarities and local structures.
Neurocomputing, 2020
Exsavi: Excavating both sample-wise and view-wise relationships to boost multi-view subspace clustering.
Neurocomputing, 2020
Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning.
Neurocomputing, 2020
A Collaborative Dictionary Learning Model for Nasopharyngeal Carcinoma Segmentation on Multimodalities MR Sequences.
Comput. Math. Methods Medicine, 2020
Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the ICBBB 2020: 10th International Conference on Bioscience, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Tensor-based Low-rank and Graph Regularized Representation Learning for Multi-view Clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Coarse-to-fine Nasopharyngeal Carcinoma Segmentation in MRI via Multi-stage Rendering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Machine Learning to Predict ICU Admission, ICU Mortality and Survivors' Length of Stay among COVID-19 Patients: Toward Optimal Allocation of ICU Resources.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Reconstruction of 3D Retina from Multi-viewed Stereo Fundus Images via Dynamic Registration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Recovering Hidden Diagonal Structures via Non-Negative Matrix Factorization with Multiple Constraints.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Finding Correlated Patterns via High-Order Matching for Multiple Sourced Biological Data.
IEEE Trans. Biomed. Eng., 2019
Neural Networks, 2019
Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms.
Comput. Math. Methods Medicine, 2019
HOGMMNC: a higher order graph matching with multiple network constraints model for gene-drug regulatory modules identification.
Bioinform., 2019
Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
WaveDec: A Wavelet Approach to Identify Both Shared and Individual Patterns of Copy-Number Variations.
IEEE Trans. Biomed. Eng., 2018
2017
A copy-number variation detection pipeline for single cell sequencing data on BGI online.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Copy number variants calling for single cell sequencing data by multi-constrained optimization.
Comput. Biol. Chem., 2016
nbCNV: a multi-constrained optimization model for discovering copy number variants in single-cell sequencing data.
BMC Bioinform., 2016
MDAGenera: An Efficient and Accurate Simulator for Multiple Displacement Amplification.
Proceedings of the Intelligent Computing Theories and Application, 2016
Multi-norm constrained optimization methods for calling copy number variants in single cell sequencing data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Optimal combination of feature selection and classification via local hyperplane based learning strategy.
BMC Bioinform., 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Discrimination of recurrent CNVs from individual ones from multisample aCGH by jointly constrained minimization.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
2014
IEEE Trans. Image Process., 2014
A novel diffusion system for impulse noise removal based on a robust diffusion tensor.
Neurocomputing, 2014
BMC Bioinform., 2014
An Empirical Algorithm for Bias Correction Based on GC Estimation for Single Cell Sequencing.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014
2013
2012
A Novel Approach to Segment and Classify Regional Lymph Nodes on Computed Tomography Images.
Comput. Math. Methods Medicine, 2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Optimal Combination of Feature Weight Learning and Classification Based on Local Approximation.
Proceedings of the Data and Knowledge Engineering - Third International Conference, 2012
2011
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
2010
Proceedings of the IEEE International Conference on Wireless Communications, 2010
2008
Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images.
Medical Image Anal., 2008
2007
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the International Conference on Image Processing, 2007
2006
Repulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacks.
NeuroImage, 2006
Shape-constrained repulsive snake method to segment and track neurons in 3D microscopy images.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006