Shape-constrained repulsive snake method to segment and track neurons in 3D microscopy images. - Hongmin Cai; Xiaoyin Xu; Ju Lu; Jeff Lichtman; S. P. Yung; Stephen T. C. Wong (ISBI, 2006)

Repulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacks. - Hongmin Cai; Xiaoyin Xu; Ju Lu; Jeff W. Lichtman; S. P. Yung; Stephen T. C. Wong (NeuroImage, 2006)

A New Nonlinear Diffusion Method to Improve Image Quality. - Yue Zhang; Xiaoyin Xu; Hongmin Cai; S. P. Yung; Stephen T. C. Wong (ICIP (1), 2007)

Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images. - Hongmin Cai; Ragini Verma; Yangming Ou; Seung-Koo Lee; Elias R. Melhem; Christos Davatzikos (ISBI, 2007)

Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images. - Hongmin Cai; Xiaoyin Xu; Ju Lu; Jeff Lichtman; S. P. Yung; Stephen T. C. Wong (Medical Image Anal., 2008)

Design and implementation of a DIDS. - Hongmin Cai; Naiqi Wu (WCNIS, 2010)

Effective image noise removal based on difference eigenvalue. - Haiying Tian; Hongmin Cai; Jian-Huang Lai; Xiaoyin Xu (ICIP, 2011)

Improvements over Adaptive Local Hyperplane to Achieve Better Classification. - Hongmin Cai (ICDM, 2011)

Optimal Combination of Feature Weight Learning and Classification Based on Local Approximation. - Hongmin Cai; Michael Kwok-Po Ng (ICDKE, 2012)

Feature Weighting by RELIEF Based on Local Hyperplane Approximation. - Hongmin Cai; Michael K. P. Ng 001 (PAKDD (2), 2012)

A Novel Approach to Segment and Classify Regional Lymph Nodes on Computed Tomography Images. - Hongmin Cai; Chunyan Cui; Haiying Tian; Min Zhang; Li Li (Comput. Math. Methods Medicine, 2012)

Understanding query interfaces by statistical parsing. - Weifeng Su; Hejun Wu; Yafei Li; Jing Zhao; Frederick H. Lochovsky; Hongmin Cai; Tianqiang Huang (ACM Trans. Web, 2013)

An Empirical Algorithm for Bias Correction Based on GC Estimation for Single Cell Sequencing. - Bo Xu; Tengpeng Li; Yi Luo; Ruotao Xu; Hongmin Cai (PAKDD Workshops, 2014)

Feature weight estimation for gene selection: a local hyperlinear learning approach. - Hongmin Cai; Peiying Ruan; Michael Kwok-Po Ng; Tatsuya Akutsu (BMC Bioinform., 2014)

A novel diffusion system for impulse noise removal based on a robust diffusion tensor. - Haiying Tian; Hongmin Cai; Jian-Huang Lai (Neurocomputing, 2014)

A New Iterative Triclass Thresholding Technique in Image Segmentation. - Hongmin Cai; Zhong Yang; Xinhua Cao; Weiming Xia; Xiaoyin Xu (IEEE Trans. Image Process., 2014)

Discrimination of recurrent CNVs from individual ones from multisample aCGH by jointly constrained minimization. - Peihua Chen; Weiheng Huang; Wei Shao; Hongmin Cai (BCB, 2015)

MALBACsim: A Multiple Annealing and Looping Based Amplification Cycles simulator. - Tengpeng Li; Changsheng Zhang 002; Bo Xu; Hongmin Cai; Fuqiang Li (BIBM, 2015)

Optimal combination of feature selection and classification via local hyperplane based learning strategy. - Xiaoping Cheng; Hongmin Cai; Yue Zhang; Bo Xu; Weifeng Su (BMC Bioinform., 2015)

Multi-norm constrained optimization methods for calling copy number variants in single cell sequencing data. - Changsheng Zhang 002; Hongmin Cai; Jingying Huang; Bo Xu (BIBM, 2016)

MDAGenera: An Efficient and Accurate Simulator for Multiple Displacement Amplification. - Weiheng Huang; Hongmin Cai; Wei Shao; Bo Xu; Fuqiang Li (ICIC (1), 2016)

nbCNV: a multi-constrained optimization model for discovering copy number variants in single-cell sequencing data. - Changsheng Zhang 002; Hongmin Cai; Jingying Huang; Yan Song (BMC Bioinform., 2016)

Copy number variants calling for single cell sequencing data by multi-constrained optimization. - Bo Xu; Hongmin Cai; Changsheng Zhang 002; Xi Yang 012; Guoqiang Han (Comput. Biol. Chem., 2016)

A copy-number variation detection pipeline for single cell sequencing data on BGI online. - Jingying Huang; Yuwen Zhou; Aodan Xu; Enhong Zhuo; Xin Jin; Hongmin Cai (BIBM, 2017)

WaveDec: A Wavelet Approach to Identify Both Shared and Individual Patterns of Copy-Number Variations. - Hongmin Cai; Peihua Chen; Jiazhou Chen; Jiulun Cai; Yan Song; Guoqiang Han (IEEE Trans. Biomed. Eng., 2018)

Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention. - Jia-bin Huang 002; Enhong Zhuo; Haojiang Li; Lizhi Liu; Hongmin Cai; Yangming Ou (MICCAI (5), 2019)

HOGMMNC: a higher order graph matching with multiple network constraints model for gene-drug regulatory modules identification. - Jiazhou Chen; Hong Peng; Guoqiang Han; Hongmin Cai; Jiulun Cai (Bioinform., 2019)

Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms. - Hongmin Cai; Qinjian Huang; Wentao Rong; Yan Song; Jiao Li; Jinhua Wang 002; Jiazhou Chen; Li Li 032 (Comput. Math. Methods Medicine, 2019)

Integrating Tensor Similarity to Enhance Clustering Performance. - Hong Peng; Jiazhou Chen; Haiyan Wang 005; Yu Hu 004; Hongmin Cai (CoRR, 2019)

Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality. - Zhengming Li; Zheng Zhang 006; Jie Qin; Sheng Li 001; Hongmin Cai (Neural Networks, 2019)

Finding Correlated Patterns via High-Order Matching for Multiple Sourced Biological Data. - Xi Yang 012; Guoqiang Han; Jiazhou Chen; Hongmin Cai (IEEE Trans. Biomed. Eng., 2019)

Recovering Hidden Diagonal Structures via Non-Negative Matrix Factorization with Multiple Constraints. - Xi Yang 012; Guoqiang Han; Hongmin Cai; Yan Song (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Reconstruction of 3D Retina from Multi-viewed Stereo Fundus Images via Dynamic Registration. - Tingting Dan; Zhihao Fan; Yu Hu 004; Bin Zhang 050; Guihua Tao; Hongmin Cai (BIBM, 2020)

Machine Learning to Predict ICU Admission, ICU Mortality and Survivors' Length of Stay among COVID-19 Patients: Toward Optimal Allocation of ICU Resources. - Tingting Dan; Yang Li 172; Ziwei Zhu 005; Xijie Chen; Wuxiu Quan; Yu Hu 004; Guihua Tao; Lei Zhu; Jijin Zhu; Yuyan Jin; Longgeng Li; Chaokai Liang; et al. (BIBM, 2020)

Coarse-to-fine Nasopharyngeal Carcinoma Segmentation in MRI via Multi-stage Rendering. - Yang Li 172; Hong Peng; Tingting Dan; Yu Hu 004; Guihua Tao; Hongmin Cai (BIBM, 2020)

Tensor-based Low-rank and Graph Regularized Representation Learning for Multi-view Clustering. - Haiyan Wang 005; Guoqiang Han; Bin Zhang 050; Yu Hu 004; Hong Peng; Chu Han; Hongmin Cai (BIBM, 2020)

Single Fundus Image Super-Resolution Via Cascaded Channel-Wise Attention Network. - Zhihao Fan; Tingting Dan; Honghua Yu; Baoyi Liu; Hongmin Cai (EMBC, 2020)

Breast Cancer Subtype by Imbalanced Omics Data through A Deep Learning Fusion Model. - Jingwen Zeng; Hongmin Cai; Tatsuya Akutsu (ICBBB, 2020)

Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold. - Jiazhou Chen; Guoqiang Han; Hongmin Cai; Junbo Ma; Minjeong Kim; Paul J. Laurienti; Guorong Wu 001 (MICCAI (7), 2020)

Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks. - Baihong Xie; Ting Lei; Nan Wang; Hongmin Cai; Jianbo Xian; Miao He; Lihe Zhang; Hongning Xie (Int. J. Comput. Assist. Radiol. Surg., 2020)

A Collaborative Dictionary Learning Model for Nasopharyngeal Carcinoma Segmentation on Multimodalities MR Sequences. - Haiyan Wang 005; Guoqiang Han; Haojiang Li; Guihua Tao; Enhong Zhuo; Lizhi Liu; Hongmin Cai; Yangming Ou (Comput. Math. Methods Medicine, 2020)

Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning. - Qinjian Huang; Yue Zhang 045; Hong Peng; Tingting Dan; Wanlin Weng; Hongmin Cai (Neurocomputing, 2020)

Exsavi: Excavating both sample-wise and view-wise relationships to boost multi-view subspace clustering. - Haiyan Wang 005; Guoqiang Han; Bin Zhang 050; Guihua Tao; Hongmin Cai (Neurocomputing, 2020)

Enhancing multi-view clustering through common subspace integration by considering both global similarities and local structures. - Wanlin Weng; Weiwei Zhou; Jiazhou Chen; Hong Peng; Hongmin Cai (Neurocomputing, 2020)

Identification of Multidimensional Regulatory Modules Through Multi-Graph Matching With Network Constraints. - Jiazhou Chen; Guoqiang Han; Aodan Xu; Hongmin Cai (IEEE Trans. Biomed. Eng., 2020)

Identifying "Many-to-Many" Relationships between Gene-Expression Data and Drug-Response Data via Sparse Binary Matching. - Jiulun Cai; Hongmin Cai; Jiazhou Chen; Xi Yang 012 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China. - Tingting Dan; Yang Li 172; Ziwei Zhu 005; Xijie Chen; Wuxiu Quan; Yu Hu 004; Guihua Tao; Lei Zhu; Jijin Zhu; Hongmin Cai; Hanchun Wen (AAAI, 2021)

Detecting Brain State Changes via Manifold Mean Shifting. - Zhuobin Huang; Tingting Dan; Yi Lin; Jiazhou Chen; Hongmin Cai; Guorong Wu 001 (BIBM, 2021)

Detection-and-Excitation Neural Network Achieves Accurate Nasopharyngeal Carcinoma Segmentation in Multi-modality MR Images. - Guihua Tao; Haojiang Li; Lizhi Liu; Hongmin Cai (BIBM, 2021)

Multi-Omics Data Clustering via the Guidance of Highly Correlated Features. - Bin Zhang 050; Hongmin Cai (BIBM, 2021)

Spatially-Invariant Style-Codes Controlled Makeup Transfer. - Han Deng; Chu Han; Hongmin Cai; Guoqiang Han; Shengfeng He (CVPR, 2021)

Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training. - Guihua Tao; Wentao Rong; Wanlin Weng; Tingting Dan; Bin Zhang 050; Hongmin Cai (ICANN (2), 2021)

Multi-View Clustering Through Self-Weighted High-Order Similarity Fusion. - Hong Peng; Hongmin Cai (ICME, 2021)

Multi-View Tensor Clustering Through Exploiting Both Within-View and Across-View High-Order Correlations. - Haiyan Wang 005; Guoqiang Han; Yu Hu 004; Hong Peng; Jiazhou Chen; Bin Zhang 050; Hongmin Cai (ICME, 2021)

Discovering Spreading Pathways of Neuropathological Events in Alzheimer's Disease Using Harmonic Wavelets. - Jiazhou Chen; Defu Yang; Hongmin Cai; Martin Styner; Guorong Wu 001 (IPMI, 2021)

Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold. - Zhuobin Huang; Hongmin Cai; Tingting Dan; Yi Lin; Paul J. Laurienti; Guorong Wu 001 (MICCAI (7), 2021)

Effective and Adaptive Refined Multi-metric Similarity Graph Fusion for Multi-view Clustering. - Wentao Rong; Enhong Zhuo; Guihua Tao; Hongmin Cai (PAKDD (2), 2021)

Evaluation of gene-drug common module identification methods using pharmacogenomics data. - Jie Huang; Jiazhou Chen; Bin Zhang 050; Lei Zhu 002; Hongmin Cai (Briefings Bioinform., 2021)

Methods of privacy-preserving genomic sequencing data alignments. - Dandan Lu; Yue Zhang 045; Ling Zhang; Haiyan Wang 005; Wanlin Weng; Li Li; Hongmin Cai (Briefings 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. - Zhuohui Wei; Yue Zhang 045; Wanlin Weng; Jiazhou Chen; Hongmin Cai (Briefings Bioinform., 2021)

IOAT: an interactive tool for statistical analysis of omics data and clinical data. - Lanlan Wu; Fei Liu; Hongmin Cai (BMC Bioinform., 2021)

Editorial: Inference of Biological Networks. - Tatsuya Akutsu; Hongmin Cai (Frontiers Bioinform., 2021)

Fusion of multi-source retinal fundus images via automatic registration for clinical diagnosis. - Tingting Dan; Yu Hu 004; Chu Han; Zhihao Fan; Zhuobin Huang; Bin Zhang 050; Guihua Tao; Baoyi Liu; Honghua Yu; Hongmin Cai (Neurocomputing, 2021)

SGUNet: Style-guided UNet for adversely conditioned fundus image super-resolution. - Zhihao Fan; Tingting Dan; Baoyi Liu; Xiaoqi Sheng; Honghua Yu; Hongmin Cai (Neurocomputing, 2021)

Learning a consensus affinity matrix for multi-view clustering via subspaces merging on Grassmann manifold. - Wentao Rong; Enhong Zhuo; Hong Peng; Jiazhou Chen; Haiyan Wang 005; Chu Han; Hongmin Cai (Inf. Sci., 2021)

Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning. - Haiyan Wang 005; Guoqiang Han; Junyu Li 001; Bin Zhang 050; Jiazhou Chen; Yu Hu 004; Chu Han; Hongmin Cai (Inf. Sci., 2021)

Multi-View Learning a Decomposable Affinity Matrix via Tensor Self-Representation on Grassmann Manifold. - Haiyan Wang 005; Guoqiang Han; Bin Zhang 050; Guihua Tao; Hongmin Cai (IEEE Trans. Image Process., 2021)

Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses. - Jiazhou Chen; Guoqiang Han; Hongmin Cai; Defu Yang; Paul J. Laurienti; Martin Styner; Guorong Wu 001 (IEEE Trans. Medical Imaging, 2021)

A Regional Multiple Instance Learning Network for Whole Slide Image Segmentation. - Hongmin Cai; Weiting Yi; Yucheng Li; Wenxiong Liao; Jiangning Song (BIBM, 2022)

Reler: Relearning Controversial Regions to Accurately Segment Nasopharyngeal Carcinoma. - Guihua Tao; Haojiang Li; Dandan Lu; Ziqin Ling; Lizhi Liu; Hongmin Cai (BIBM, 2022)

Accurate Multi-view Clustering by Exploiting Within-view High-order Affinities through Tensor Self-representation. - Haiyan Wang 005; Jiazhou Chen; Bin Zhang 050; Hongmin Cai (BIBM, 2022)

NPCFORMER: Automatic Nasopharyngeal Carcinoma Segmentation Based on Boundary Attention and Global Position Context Attention. - Ziqin Ling; Guihua Tao; Yang Li 172; Hongmin Cai (ICIP, 2022)

Multi-View Clustering Through Hypergraphs Integration on Stiefel Manifold. - Yu Hu 004; Hongmin Cai (ICME, 2022)

Manifold Learning in Detecting the Transitions of Dynamic Functional Connectivities Boosts Brain State-Specific Recognition. - Tingting Dan; Zhuobin Huang; Hongmin Cai; Guorong Wu 001 (ISBI, 2022)

Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition. - Tingting Dan; Hongmin Cai; Zhuobin Huang; Paul J. Laurienti; Won Hwa Kim; Guorong Wu 001 (MICCAI (8), 2022)

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. - Hongmin Cai; Wenxiong Liao; Zhengliang Liu; Xiaoke Huang; Yiyang Zhang 003; Siqi Ding; Sheng Li 001; Quanzheng Li; Tianming Liu 001; Xiang Li 001 (CoRR, 2022)

DF-Net: Deep fusion network for multi-source vessel segmentation. - Pengshuai Yin; Hongmin Cai; Qingyao Wu (Inf. Fusion, 2022)

Characterizing the propagation pathway of neuropathological events of Alzheimer's disease using harmonic wavelet analysis. - Jiazhou Chen; Hongmin Cai; Defu Yang; Martin Styner; Guorong Wu 001; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2022)

SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance. - Guihua Tao; Haojiang Li; Jiabin Huang 007; Chu Han; Jiazhou Chen; Guangying Ruan; Wenjie Huang; Yu Hu 004; Tingting Dan; Bin Zhang 050; Shengfeng He; Lizhi Liu; et al. (Medical Image Anal., 2022)

Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold. - Ali Alfatemi; Hong Peng; Wentao Rong; Bin Zhang 050; Hongmin Cai (BMC Medical Informatics Decis. Mak., 2022)

Integrating Tensor Similarity to Enhance Clustering Performance. - Hong Peng; Yu Hu 004; Jiazhou Chen; Haiyan Wang 005; Yang Li 172; Hongmin Cai (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Multi-dimensional clustering through fusion of high-order similarities. - Hong Peng; Haiyan Wang 005; Yu Hu 004; Weiwei Zhou; Hongmin Cai (Pattern Recognit., 2022)

Fast and Accurate Clustering of Multiple Modality Data via Feature Matching. - Bin Zhang 050; Hongmin Cai; Jiazhou Chen; Yu Hu 004; Jie Huang; Wentao Rong; Wanlin Weng; Qinjian Huang; Haiyan Wang 005; Hong Peng (IEEE Trans. Cybern., 2022)

Deep Multiview Clustering via Iteratively Self-Supervised Universal and Specific Space Learning. - Yue Zhang 045; Qinjian Huang; Bin Zhang 050; Shengfeng He; Tingting Dan; Hong Peng; Hongmin Cai (IEEE Trans. Cybern., 2022)

Identify Multiple Gene-Drug Common Modules via Constrained Graph Matching. - Jiazhou Chen; Jie Huang; Yi Liao; Lei Zhu; Hongmin Cai (IEEE J. Biomed. Health Informatics, 2022)

Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network. - Tingting Dan; Zhuobin Huang; Hongmin Cai; Paul J. Laurienti; Guorong Wu 001 (IEEE Trans. Medical Imaging, 2022)

NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images. - Yang Li 172; Tingting Dan; Haojiang Li; Jiazhou Chen; Hong Peng; Lizhi Liu; Hongmin Cai (IEEE Trans. Medical Imaging, 2022)

Learning Transferable Perturbations for Image Captioning. - Hanjie Wu; Yongtuo Liu; Hongmin Cai; Shengfeng He (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. - Wenxiong Liao; Zhengliang Liu; Yiyang Zhang 003; Xiaoke Huang; Fei Qi 007; Siqi Ding; Hui Ren 001; Zihao Wu 001; Haixing Dai; Sheng Li 001; Lingfei Wu 001; Ninghao Liu; et al. (BIBM, 2023)

Multi-Kernel Tensor Fusion on Grassmann Manifold for Genomic Data Clustering. - Fei Qi 007; Junyu Li 001; Yi Liao; Wenxiong Liao; Jiazhou Chen; Hongmin Cai (BIBM, 2023)

Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript. - Hongmin Cai; Xiaoke Huang; Zhengliang Liu; Wenxiong Liao; Haixing Dai; Zihao Wu 001; Dajiang Zhu; Hui Ren 001; Quanzheng Li; Tianming Liu 001; Xiang Li 001 (BI, 2023)

Incremental Recommendation Algorithm Based on the Influence Propagation Model. - Siqi Wu; Jianming Lv; Chen Liu; Hongmin Cai (ICANN (7), 2023)

Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation. - Yongtuo Liu; Dan Xu 002; Sucheng Ren; Hanjie Wu; Hongmin Cai; Shengfeng He (ICME, 2023)

Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling. - Aihua Mao; Yaqi Duan; Yu-Hui Wen; Zihui Du; Hongmin Cai; Yong-Jin Liu 001 (IJCAI, 2023)

OSR-NET: Ordinary Differential Equation-Based Brain State Recognition Neural Network. - Hongmin Cai; Tingting Dan; Zhuobin Huang; Guorong Wu 001 (ISBI, 2023)

Discovering Brain Network Dysfunction in Alzheimer's Disease Using Brain Hypergraph Neural Network. - Hongmin Cai; Zhixuan Zhou; Defu Yang; Guorong Wu 001; Jiazhou Chen (MICCAI (5), 2023)

Graph based Spatial-temporal Fusion for Multi-modal Person Re-identification. - Yaobin Zhang; Jianming Lv; Chen Liu; Hongmin Cai (ACM Multimedia, 2023)

Generalized Information-theoretic Multi-view Clustering. - Weitian Huang; Sirui Yang; Hongmin Cai (NeurIPS, 2023)

VSGAN: Visual Saliency guided Generative Adversarial Network for data augmentation. - Zhang Jun; Chuhua Xian; Alexandre Bruckert; Patrick Le Callet; Guiqing Li; Hongmin Cai (IMX Workshops, 2023)

Mask-guided BERT for Few Shot Text Classification. - Wenxiong Liao; Zhengliang Liu; Haixing Dai; Zihao Wu 001; Yiyang Zhang 003; Xiaoke Huang; Yuzhong Chen; Xi Jiang 001; Dajiang Zhu; Tianming Liu 001; Sheng Li 001; Xiang Li 001; et al. (CoRR, 2023)

ChatAug: Leveraging ChatGPT for Text Data Augmentation. - Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Zihao Wu 001; Lin Zhao 004; Wei Liu 146; Ninghao Liu; Sheng Li 001; Dajiang Zhu; Hongmin Cai; Quanzheng Li; et al. (CoRR, 2023)

Differentiate ChatGPT-generated and Human-written Medical Texts. - Wenxiong Liao; Zhengliang Liu; Haixing Dai; Shaochen Xu; Zihao Wu 001; Yiyang Zhang 003; Xiaoke Huang; Dajiang Zhu; Hongmin Cai; Tianming Liu 001; Xiang Li 001 (CoRR, 2023)

Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data. - Hongmin Cai; Xiaoke Huang; Zhengliang Liu; Wenxiong Liao; Haixing Dai; Zihao Wu 001; Dajiang Zhu; Hui Ren 001; Quanzheng Li; Tianming Liu 001; Xiang Li 001 (CoRR, 2023)

Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer's disease. - Huan Liu 017; Hongmin Cai; Defu Yang; Wentao Zhu 002; Guorong Wu 001; Jiazhou Chen (Medical Image Anal., 2023)

Identifying miRNA-Gene Common and Specific Regulatory Modules for Cancer Subtyping by a High-Order Graph Matching Model. - Jiazhou Chen; Guoqiang Han; Aodan Xu; Tatsuya Akutsu; Hongmin Cai (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Similarity Fusion via Exploiting High Order Proximity for Cancer Subtyping. - Jiazhou Chen; Wentao Rong; Guihua Tao; Hongmin Cai (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Verifiable Privacy-Preserving Queries on Multi-Source Dynamic DNA Datasets. - Dandan Lu; Ming Li 029; Yi Liao; Guihua Tao; Hongmin Cai (IEEE Trans. Cloud Comput., 2023)

Deep Manifold Harmonic Network With Dual Attention for Brain Disorder Classification. - Xiaoqi Sheng; Jiazhou Chen; Yong Liu 002; Bin Hu 001; Hongmin Cai (IEEE J. Biomed. Health Informatics, 2023)

DeepGA for automatically estimating fetal gestational age through ultrasound imaging. - Tingting Dan; Xijie Chen; Miao He; Hongmei Guo; Xiaoqin He; Jiazhou Chen; Jianbo Xian; Yu Hu 004; Bin Zhang 050; Nan Wang; Hongning Xie; Hongmin Cai (Artif. Intell. Medicine, 2023)

Estimating Outlier-Immunized Common Harmonic Waves for Brain Network Analyses on the Stiefel Manifold. - Hongmin Cai; Huan Liu 017; Defu Yang; Guorong Wu 001; Bin Hu 001; Jiazhou Chen (IEEE J. Biomed. Health Informatics, 2023)

A survey of drug-target interaction and affinity prediction methods via graph neural networks. - Yue Zhang 045; Yuqing Hu; Na Han; Aqing Yang; Xiaoyong Liu; Hongmin Cai (Comput. Biol. Medicine, 2023)

AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images. - Ruicun Liu; Tuoyu Liu; Tingting Dan; Shan Yang; Yanbing Li; Boyu Luo; Yingtan Zhuang; Xinyue Fan; Xianchao Zhang 002; Hongmin Cai; Yue Teng (Patterns, 2023)

Two-Dimensional Unsupervised Feature Selection via Sparse Feature Filter. - Junyu Li 001; Jiazhou Chen; Fei Qi 007; Tingting Dan; Wanlin Weng; Bin Zhang 050; Haoliang Yuan; Hongmin Cai; Cheng Zhong (IEEE Trans. Cybern., 2023)

Multiview Deep Graph Infomax to Achieve Unsupervised Graph Embedding. - Zhichao Zhou; Yu Hu 004; Yue Zhang 045; Jiazhou Chen; Hongmin Cai (IEEE Trans. Cybern., 2023)

Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold. - Yu Hu 004; Endai Guo; Zhi Xie; Xinwang Liu 002; Hongmin Cai (IEEE Trans. Knowl. Data Eng., 2023)

A electricity theft detection method through contrastive learning in smart grid. - Zijian Liu; Weilong Ding; Tao Chen; Maoxiang Sun; Hongmin Cai; Chen Liu (EURASIP J. Wirel. Commun. Netw., 2023)

Module-level Gene-drug Interaction Identification via Hierarchical Optimal Transport. - Ye Liu 014; Xiaojie Wang; Hongshan Pu; Jiazhou Chen; Hongmin Cai (BIBM, 2024)

Joint Segmentation of Primary Nasopharyngeal Carcinoma Tumors and Lymph Nodes via Global Attention. - Guihua Tao; Ziqin Ling; Haojiang Li; Jiangning Song; Hongmin Cai (BIBM, 2024)

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images. - Jinchen Yu; Yongwei Nie; Fei Qi 007; Wenxiong Liao; Hongmin Cai (BIBM, 2024)

Face Expression Recognition via Product-Cross Dual Attention and Neutral-Aware Anchor Loss. - Yongwei Nie; Rong Pan; Qing Zhang 006; Xuemiao Xu; Guiqing Li; Hongmin Cai (CVM (2), 2024)

Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection. - Yongwei Nie; Hao Huang; Chengjiang Long; Qing Zhang 006; Pradipta Maji; Hongmin Cai (ECCV (30), 2024)

Multi-RoI Human Mesh Recovery with Camera Consistency and Contrastive Losses. - Yongwei Nie; Changzhen Liu; Chengjiang Long; Qing Zhang 006; Guiqing Li; Hongmin Cai (ECCV (47), 2024)

A Hierarchical Hypergraph Attention Network for Survival Analysis from Pathological Images. - Hongmin Cai; Weiting Yi; Weitian Huang; Zhikang Wang; Yue Zhang 011; Jiangning Song (ISBI, 2024)

Survival Analysis of Histopathological Image Based on a Pretrained Hypergraph Model of Spatial Transcriptomics Data. - Shangyan Cai; Weitian Huang; Weiting Yi; Bin Zhang; Yi Liao; Qiu Wang; Hongmin Cai; Luonan Chen; Weifeng Su (MICCAI (3), 2024)

Corrigendum to "DeepGA for automatically estimating fetal gestational age through ultrasound imaging" [Artif. Intell. Med. 135 (2023) 102453]. - Tingting Dan; Xijie Chen; Miao He; Hongmei Guo; Xiaoqin He; Jiazhou Chen; Jianbo Xian; Yu Hu 004; Bin Zhang 050; Nan Wang; Hongning Xie; Hongmin Cai (Artif. Intell. Medicine, 2024)

The Radiation Oncology NLP Database. - Zhengliang Liu; Jason Holmes; Wenxiong Liao; Chenbin Liu; Lian Zhang; Hongying Feng; Peilong Wang; Muhammad Ali Elahi; Hongmin Cai; Lichao Sun 001; Quanzheng Li; Xiang Li 001; et al. (CoRR, 2024)

Multiple-Crop Human Mesh Recovery with Contrastive Learning and Camera Consistency in A Single Image. - Yongwei Nie; Changzhen Liu; Chengjiang Long; Qing Zhang 006; Guiqing Li; Hongmin Cai (CoRR, 2024)

Make static person walk again via separating pose action from shape. - Yongwei Nie; Meihua Zhao; Qing Zhang 006; Ping Li 016; Jian Zhu 001; Hongmin Cai (Graph. Model., 2024)

Mask-guided BERT for few-shot text classification. - Wenxiong Liao; Zhengliang Liu; Haixing Dai; Zihao Wu 001; Yiyang Zhang 003; Xiaoke Huang; Yuzhong Chen; Xi Jiang 001; David Liu; Dajiang Zhu; Sheng Li 001; Wei Liu 146; et al. (Neurocomputing, 2024)

Accurate multi-view clustering to seek the cross-viewed yet uniform sample assignment via tensor feature matching. - Yue Zhang 045; Wuxiu Quan; Tatsuya Akutsu; Li Liu 031; Hongmin Cai; Bin Zhang 050 (Inf. Sci., 2024)

Microfacet rendering with diffraction compensation. - Xudong Yang; Aoran Lyu; Chuhua Xian; Hongmin Cai (Comput. Animat. Virtual Worlds, 2024)

Zero-shot relation triplet extraction as Next-Sentence Prediction. - Wenxiong Liao; Zhengliang Liu; Yiyang Zhang 003; Xiaoke Huang; Ninghao Liu; Tianming Liu 001; Quanzheng Li; Xiang Li 001; Hongmin Cai (Knowl. Based Syst., 2024)

Dual-stream multi-dependency graph neural network enables precise cancer survival analysis. - Zhikang Wang; Jiani Ma; Qian Gao; Chris Bain; Seiya Imoto; Pietro Liò; Hongmin Cai; Hao Chen 011; Jiangning Song (Medical Image Anal., 2024)

Deep Tensor Spectral Clustering Network via Ensemble of Multiple Affinity Tensors. - Hongmin Cai; Yu Hu 004; Fei Qi 007; Bin Hu 001; Yiu-ming Cheung (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

AGML: Adaptive Graph-Based Multi-Label Learning for Prediction of RBP and as Event Associations During EMT. - Yushan Qiu; Wensheng Chen; Wai-Ki Ching; Hongmin Cai; Hao Jiang 009; Quan Zou 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Unsupervised Dual Hashing Coding (UDC) on Semantic Tagging and Sample Content for Cross-Modal Retrieval. - Hongmin Cai; Bin Zhang 050; Junyu Li 001; Bin Hu 001; Jiazhou Chen (IEEE Trans. Multim., 2024)

Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization. - Yue Zhang 045; Sirui Yang; Weitian Huang; Chang-Dong Wang 001; Hongmin Cai (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Improving Cancer Survival Prediction via Graph Convolutional Neural Network Learning on Protein-Protein Interaction Networks. - Hongmin Cai; Yi Liao; Lei Zhu; Zhikang Wang; Jiangning Song (IEEE J. Biomed. Health Informatics, 2024)

Weakly-supervised instance co-segmentation via tensor-based salient co-peak search. - Wuxiu Quan; Yu Hu 004; Tingting Dan; Junyu Li 001; Yue Zhang 045; Hongmin Cai (Frontiers Comput. Sci., 2024)

Collaborative Embedding Learning via Tensor Integration for Multi-View Clustering. - Yue Zhang 045; Xin Sun; Hongmin Cai; Haiyan Wang 005; Jiazhou Chen; Endai Guo; Fei Qi 007; Junyu Li 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Realize Generative Yet Complete Latent Representation for Incomplete Multi-View Learning. - Hongmin Cai; Weitian Huang; Sirui Yang; Siqi Ding; Yue Zhang 045; Bin Hu 001; Fa Zhang 001; Yiu-Ming Cheung (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Unsupervised Feature Selection via Collaborative Embedding Learning. - Junyu Li 001; Fei Qi 007; Xin Sun; Bin Zhang 050; Xiangmin Xu; Hongmin Cai (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Stacked Network to Realize Spectral Clustering With Adaptive Graph Learning. - Junyu Li 001; Fei Qi 007; Haoliang Yuan; Cheng Zhong; Hongmin Cai (IEEE Trans. Knowl. Data Eng., 2024)

Quaternion Tensor Left Ring Decomposition and Application for Color Image Inpainting. - Jifei Miao; Kit Ian Kou; Hongmin Cai; Lizhi Liu (J. Sci. Comput., 2024)

Multiview Tensor Spectral Clustering via Co-Regularization. - Hongmin Cai; Yu Wang 175; Fei Qi 007; Zhuoyao Wang 001; Yiu-ming Cheung (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Decomposing Neuroanatomical Heterogeneity of Autism Spectrum Disorder Across Different Developmental Stages Using Morphological Multiplex Network Model. - Xiang Fu; Ying Wang; Jialong Li; Hongmin Cai; Xinyan Zhang; Zhijun Yao; Minqiang Yang; Weihao Zheng (IEEE Trans. Comput. Soc. Syst., 2024)

3D Snapshot: Invertible Embedding of 3D Neural Representations in a Single Image. - Yuqin Lu; Bailin Deng; Zhixuan Zhong; Tianle Zhang; Yuhui Quan; Hongmin Cai; Shengfeng He (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Brain Network Classification for Accurate Detection of Alzheimer's Disease via Manifold Harmonic Discriminant Analysis. - Hongmin Cai; Xiaoqi Sheng; Guorong Wu 001; Bin Hu 001; Yiu-Ming Cheung; Jiazhou Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Accelerate Neural Subspace-Based Reduced-Order Solver of Deformable Simulation by Lipschitz Optimization. - Aoran Lyu; Shixian Zhao; Chuhua Xian; Zhihao Cen; Hongmin Cai; Guoxin Fang (ACM Trans. Graph., 2024)

Training-Free Language-Guided Video Summarization via Multi-Grained Saliency Scoring. - Wei Ge; Yongwei Nie; Fei Ma 006; Keke Tang; Fei Richard Yu; Hongmin Cai; Ping Li 016 (CVM (3), 2025)

Clip-Driven Universal Model for Multi-Material Decomposition in Dual-Energy CT. - Xianghong Wang; Jiajun Xiang; Aihua Mao; Jiayi Xie; Peng Jin; Mingchao Ding; Yixuan Yuan; Yanye Lu; Lequan Yu; Hongmin Cai; Baiying Lei; Tianye Niu (IEEE Trans. Computational Imaging, 2025)

Unsupervised Dual Deep Hashing With Semantic-Index and Content-Code for Cross-Modal Retrieval. - Bin Zhang 050; Yue Zhang 045; Junyu Li 001; Jiazhou Chen; Tatsuya Akutsu; Yiu-Ming Cheung; Hongmin Cai (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Harmonic Wavelet Neural Network for Discovering Neuropathological Propagation Patterns in Alzheimer's Disease. - Hongmin Cai; Ranran Deng; Defu Yang; Fa Zhang 001; Guorong Wu 001; Jiazhou Chen (IEEE J. Biomed. Health Informatics, 2025)

Tensorlized Multi-Kernel Clustering via Consensus Tensor Decomposition. - Fei Qi 007; Junyu Li 001; Yue Zhang 045; Weitian Huang; Bin Hu 001; Hongmin Cai (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

A Novel Spatio-Temporal Hub Identification in Brain Networks by Learning Dynamic Graph Embedding on Grassmannian Manifolds. - Defu Yang; Hui Shen; Minghan Chen; Shuai Wang 003; Jiazhou Chen; Hongmin Cai; Xueli Chen; Guorong Wu 001; Wentao Zhu 002 (IEEE Trans. Medical Imaging, 2025)

HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation. - Jiaming Liang; Lihuan Dai; Xiaoqi Sheng; Xiangguang Chen; Chun Yao; Guihua Tao; Qibin Leng; Hongmin Cai; Xi Zhong (CoRR, 2025)

Occlusion-Preserved Surveillance Video Synopsis with Flexible Object Graph. - Yongwei Nie; Wei Ge; Siming Zeng; Qing Zhang 006; Guiqing Li; Ping Li 016; Hongmin Cai (Int. J. Comput. Vis., 2025)

Uniform Tensor Clustering by Jointly Exploring Sample Affinities of Various Orders. - Hongmin Cai; Fei Qi 007; Junyu Li 001; Yu Hu 004; Bin Hu 001; Yue Zhang 045; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2025)

Discriminating Tensor Spectral Clustering for High-Dimension-Low-Sample-Size Data. - Yu Hu 004; Fei Qi 007; Yiu-Ming Cheung; Hongmin Cai (IEEE Trans. Neural Networks Learn. Syst., 2025)

Modality-Aware Discriminative Fusion Network for Integrated Analysis of Brain Imaging Genomics. - Xiaoqi Sheng; Hongmin Cai; Yongwei Nie; Shengfeng He; Yiu-Ming Cheung; Jiazhou Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

AugGPT: Leveraging ChatGPT for Text Data Augmentation. - Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu 001; Lin Zhao 004; Shaochen Xu; Fang Zeng; Wei Liu 146; Ninghao Liu; Sheng Li 001; et al. (IEEE Trans. Big Data, 2025)

Learning Uniform Latent Representation via Alternating Adversarial Network for Multi-View Clustering. - Yue Zhang 045; Weitian Huang; Xiaoxue Zhang; Sirui Yang; Fa Zhang 001; Xin Gao 001; Hongmin Cai (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Efficient quaternion CUR method for low-rank approximation to quaternion matrix. - Pengling Wu; Kit Ian Kou; Hongmin Cai; Zhaoyuan Yu (Numer. Algorithms, 2025)

Batch Specular Manifold Sampling for caustics rendering. - Pengpei Hong; Chuhua Xian; Hongmin Cai; Jiazhou Chen; Guiqing Li (Vis. Comput., 2025)

Efficient Multi-View Clustering via Essential Tensorized Bipartite Graph Learning. - Wanrong Gu; Junlong Guo; Haiyan Wang 005; Guangyu Zhang; Bin Zhang 050; Jiazhou Chen; Hongmin Cai (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

QSTGNN: Quaternion Spatio-Temporal Graph Neural Networks. - Ye Liu 014; Chaoxiong Lin; Yuchen Mou; Huaiguang Jiang; Hongmin Cai (IEEE Trans. Knowl. Data Eng., 2025)

StyleGAN-$ infty$∞: Extending StyleGAN to Arbitrary-Ratio Translation With StyleBook. - Yihua Dai; Tianyi Xiang; Bailin Deng; Yong Du 003; Hongmin Cai; Jing Qin 001; Shengfeng He (IEEE Trans. Vis. Comput. Graph., 2025)

Single-Image SVBRDF Estimation Using Auxiliary Renderings as Intermediate Targets. - Yongwei Nie; Jiaqi Yu; Chengjiang Long; Qing Zhang 006; Guiqing Li; Hongmin Cai (IEEE Trans. Vis. Comput. Graph., 2025)