Hongmin Cai

According to our database, Hongmin Cai authored at least 127 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Realize Generative Yet Complete Latent Representation for Incomplete Multi-View Learning.

Hongmin Cai, Weitian Huang, Sirui Yang, Siqi Ding, Yue Zhang, Bin Hu, Fa Zhang, Yiu-Ming Cheung

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Collaborative Embedding Learning via Tensor Integration for Multi-View Clustering.

Yue Zhang, Xin Sun, Hongmin Cai, Haiyan Wang, Jiazhou Chen, Endai Guo, Fei Qi, Junyu Li

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Weakly-supervised instance co-segmentation via tensor-based salient co-peak search.

Wuxiu Quan, Yu Hu, Tingting Dan, Junyu Li, Yue Zhang, Hongmin Cai

Frontiers Comput. Sci., April, 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, February, 2024

Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization.

Yue Zhang, Sirui Yang, Weitian Huang, Chang-Dong Wang, Hongmin Cai

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Efficient quaternion CUR method for low-rank approximation to quaternion matrix.

Peng-Ling Wu, Kit Ian Kou, Hongmin Cai, Zhaoyuan Yu

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, Guiqing Li, Hongmin Cai

CoRR, 2024

Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection.

Yongwei Nie, Hao Huang, Chengjiang Long, Qing Zhang, Pradipta Maji, Hongmin Cai

CoRR, 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, Quanzheng Li, Xiang Li, Tianming Liu, Jiajian Shen, Wei Liu

CoRR, 2024

Face Expression Recognition via Product-Cross Dual Attention and Neutral-Aware Anchor Loss.

Yongwei Nie, Rong Pan, Qing Zhang, Xuemiao Xu, Guiqing Li, Hongmin Cai

Proceedings of the Computational Visual Media - 12th International Conference, 2024

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., December, 2023

Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold.

Yu Hu, Endai Guo, Zhi Xie, Xinwang Liu, Hongmin Cai

IEEE Trans. Knowl. Data Eng., October, 2023

Multiview Deep Graph Infomax to Achieve Unsupervised Graph Embedding.

Zhichao Zhou, Yu Hu, Yue Zhang, Jiazhou Chen, Hongmin Cai

IEEE Trans. Cybern., October, 2023

Two-Dimensional Unsupervised Feature Selection via Sparse Feature Filter.

Junyu Li, Jiazhou Chen, Fei Qi, Tingting Dan, Wanlin Weng, Bin Zhang, Haoliang Yuan, Hongmin Cai, Cheng Zhong

IEEE Trans. Cybern., September, 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, Hongmin Cai, Yue Teng

Patterns, September, 2023

A survey of drug-target interaction and affinity prediction methods via graph neural networks.

Yue Zhang, Yuqing Hu, Na Han, Aqing Yang, Xiaoyong Liu, Hongmin Cai

Comput. Biol. Medicine, September, 2023

Estimating Outlier-Immunized Common Harmonic Waves for Brain Network Analyses on the Stiefel Manifold.

Hongmin Cai, Huan Liu, Defu Yang, Guorong Wu, Bin Hu, Jiazhou Chen

IEEE J. Biomed. Health Informatics, May, 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, Bin Zhang, Nan Wang, Hongning Xie, Hongmin Cai

Artif. Intell. Medicine, January, 2023

Deep Manifold Harmonic Network With Dual Attention for Brain Disorder Classification.

Xiaoqi Sheng, Jiazhou Chen, Yong Liu, Bin Hu, Hongmin Cai

IEEE J. Biomed. Health Informatics, 2023

Verifiable Privacy-Preserving Queries on Multi-Source Dynamic DNA Datasets.

Dandan Lu, Ming Li, Yi Liao, Guihua Tao, Hongmin Cai

IEEE Trans. Cloud Comput., 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

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

Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer's disease.

Huan Liu, Hongmin Cai, Defu Yang, Wentao Zhu, Guorong Wu, Jiazhou Chen

Medical Image Anal., 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, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li

CoRR, 2023

Differentiate ChatGPT-generated and Human-written Medical Texts.

Wenxiong Liao, Zhengliang Liu, Haixing Dai, Shaochen Xu, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Dajiang Zhu, Hongmin Cai, Tianming Liu, Xiang Li

CoRR, 2023

ChatAug: Leveraging ChatGPT for Text Data Augmentation.

Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li

CoRR, 2023

Mask-guided BERT for Few Shot Text Classification.

Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, Dajiang Zhu, Tianming Liu, Sheng Li, Xiang Li, Hongmin Cai

CoRR, 2023

Uniform tensor clustering by jointly exploring sample affinities of various orders.

Hongmin Cai, Fei Qi, Junyu Li, Yu Hu, Yue Zhang, Yiu-ming Cheung, Bin Hu

CoRR, 2023

VSGAN: Visual Saliency guided Generative Adversarial Network for data augmentation.

Zhang Jun, Xian Chuahua, Alexandre Bruckert, Patrick Le Callet, Guiqing Li, Hongmin Cai

Proceedings of the 2023 ACM International Conference on Interactive Media Experiences Workshops, 2023

Generalized Information-theoretic Multi-view Clustering.

Weitian Huang, Sirui Yang, Hongmin Cai

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph based Spatial-temporal Fusion for Multi-modal Person Re-identification.

Yaobin Zhang, Jianming Lv, Chen Liu, Hongmin Cai

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Discovering Brain Network Dysfunction in Alzheimer's Disease Using Brain Hypergraph Neural Network.

Hongmin Cai, Zhixuan Zhou, Defu Yang, Guorong Wu, Jiazhou Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

OSR-NET: Ordinary Differential Equation-Based Brain State Recognition Neural Network.

Hongmin Cai, Tingting Dan, Zhuobin Huang, Guorong Wu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation.

Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Incremental Recommendation Algorithm Based on the Influence Propagation Model.

Siqi Wu, Jianming Lv, Chen Liu, Hongmin Cai

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript.

Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li

Proceedings of the Brain Informatics - 16th International Conference, 2023

Multi-Kernel Tensor Fusion on Grassmann Manifold for Genomic Data Clustering.

Fei Qi, Junyu Li, Yi Liao, Wenxiong Liao, Jiazhou Chen, Hongmin Cai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.

Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Fei Qi, Siqi Ding, Hui Ren, Zihao Wu, Haixing Dai, Sheng Li, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu, Xiang Li, Hongmin Cai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Learning Transferable Perturbations for Image Captioning.

Hanjie Wu, Yongtuo Liu, Hongmin Cai, Shengfeng He

ACM Trans. Multim. Comput. Commun. Appl., 2022

NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images.

Yang Li, Tingting Dan, Haojiang Li, Jiazhou Chen, Hong Peng, Lizhi Liu, Hongmin Cai

IEEE Trans. Medical Imaging, 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

IEEE Trans. Medical Imaging, 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

Deep Multiview Clustering via Iteratively Self-Supervised Universal and Specific Space Learning.

Yue Zhang, Qinjian Huang, Bin Zhang, Shengfeng He, Tingting Dan, Hong Peng, Hongmin Cai

IEEE Trans. Cybern., 2022

Fast and Accurate Clustering of Multiple Modality Data via Feature Matching.

Bin Zhang, Hongmin Cai, Jiazhou Chen, Yu Hu, Jie Huang, Wentao Rong, Wanlin Weng, Qinjian Huang, Haiyan Wang, Hong Peng

IEEE Trans. Cybern., 2022

Multi-dimensional clustering through fusion of high-order similarities.

Hong Peng, Haiyan Wang, Yu Hu, Weiwei Zhou, Hongmin Cai

Pattern Recognit., 2022

Integrating Tensor Similarity to Enhance Clustering Performance.

Hong Peng, Yu Hu, Jiazhou Chen, Haiyan Wang, Yang Li, Hongmin Cai

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold.

Ali Alfatemi, Hong Peng, Wentao Rong, Bin Zhang, Hongmin Cai

BMC Medical Informatics Decis. Mak., 2022

SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance.

Guihua Tao, Haojiang Li, Jiabin Huang, Chu Han, Jiazhou Chen, Guangying Ruan, Wenjie Huang, Yu Hu, Tingting Dan, Bin Zhang, Shengfeng He, Lizhi Liu, Hongmin Cai

Medical Image Anal., 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, Alzheimer's Disease Neuroimaging Initiative

Medical Image Anal., 2022

DF-Net: Deep fusion network for multi-source vessel segmentation.

Pengshuai Yin, Hongmin Cai, Qingyao Wu

Inf. Fusion, 2022

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.

Hongmin Cai, Wenxiong Liao, Zhengliang Liu, Xiaoke Huang, Yiyang Zhang, Siqi Ding, Sheng Li, Quanzheng Li, Tianming Liu, Xiang Li

CoRR, 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

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.

Tingting Dan, Zhuobin Huang, Hongmin Cai, Guorong Wu

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Multi-View Clustering Through Hypergraphs Integration on Stiefel Manifold.

Yu Hu, Hongmin Cai

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.

Ziqin Ling, Guihua Tao, Yang Li, Hongmin Cai

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.

Haiyan Wang, Jiazhou Chen, Bin Zhang, Hongmin Cai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Reler: Relearning Controversial Regions to Accurately Segment Nasopharyngeal Carcinoma.

Guihua Tao, Haojiang Li, Dandan Lu, Ziqin Ling, Lizhi Liu, Hongmin Cai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

A Regional Multiple Instance Learning Network for Whole Slide Image Segmentation.

Hongmin Cai, Weiting Yi, Yucheng Li, Wenxiong Liao, Jiangning Song

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.

Jiazhou Chen, Guoqiang Han, Hongmin Cai, Defu Yang, Paul J. Laurienti, Martin Styner, Guorong Wu

IEEE Trans. Medical Imaging, 2021

Multi-View Learning a Decomposable Affinity Matrix via Tensor Self-Representation on Grassmann Manifold.

Haiyan Wang, Guoqiang Han, Bin Zhang, Guihua Tao, Hongmin Cai

IEEE Trans. Image Process., 2021

Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning.

Haiyan Wang, Guoqiang Han, Junyu Li, Bin Zhang, Jiazhou Chen, Yu Hu, Chu Han, Hongmin Cai

Inf. Sci., 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, Chu Han, Hongmin Cai

Inf. Sci., 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

Fusion of multi-source retinal fundus images via automatic registration for clinical diagnosis.

Tingting Dan, Yu Hu, Chu Han, Zhihao Fan, Zhuobin Huang, Bin Zhang, Guihua Tao, Baoyi Liu, Honghua Yu, Hongmin Cai

Neurocomputing, 2021

Editorial: Inference of Biological Networks.

Tatsuya Akutsu, Hongmin Cai

Frontiers Bioinform., 2021

IOAT: an interactive tool for statistical analysis of omics data and clinical data.

Lanlan Wu, Fei Liu, Hongmin Cai

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.

Zhuohui Wei, Yue Zhang, Wanlin Weng, Jiazhou Chen, Hongmin Cai

Briefings Bioinform., 2021

Methods of privacy-preserving genomic sequencing data alignments.

Dandan Lu, Yue Zhang, Ling Zhang, Haiyan Wang, Wanlin Weng, Li Li, Hongmin Cai

Briefings Bioinform., 2021

Evaluation of gene-drug common module identification methods using pharmacogenomics data.

Jie Huang, Jiazhou Chen, Bin Zhang, Lei Zhu, Hongmin Cai

Briefings Bioinform., 2021

Effective and Adaptive Refined Multi-metric Similarity Graph Fusion for Multi-view Clustering.

Wentao Rong, Enhong Zhuo, Guihua Tao, Hongmin Cai

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.

Zhuobin Huang, Hongmin Cai, Tingting Dan, Yi Lin, Paul J. Laurienti, Guorong Wu

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.

Jiazhou Chen, Defu Yang, Hongmin Cai, Martin Styner, Guorong Wu

Proceedings of the Information Processing in Medical Imaging, 2021

Multi-View Tensor Clustering Through Exploiting Both Within-View and Across-View High-Order Correlations.

Haiyan Wang, Guoqiang Han, Yu Hu, Hong Peng, Jiazhou Chen, Bin Zhang, Hongmin Cai

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Multi-View Clustering Through Self-Weighted High-Order Similarity Fusion.

Hong Peng, Hongmin Cai

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.

Guihua Tao, Wentao Rong, Wanlin Weng, Tingting Dan, Bin Zhang, Hongmin Cai

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Spatially-Invariant Style-Codes Controlled Makeup Transfer.

Han Deng, Chu Han, Hongmin Cai, Guoqiang Han, Shengfeng He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-Omics Data Clustering via the Guidance of Highly Correlated Features.

Bin Zhang, Hongmin Cai

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.

Guihua Tao, Haojiang Li, Lizhi Liu, Hongmin Cai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Detecting Brain State Changes via Manifold Mean Shifting.

Zhuobin Huang, Tingting Dan, Yi Lin, Jiazhou Chen, Hongmin Cai, Guorong Wu

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.

Tingting Dan, Yang Li, Ziwei Zhu, Xijie Chen, Wuxiu Quan, Yu Hu, Guihua Tao, Lei Zhu, Jijin Zhu, Hongmin Cai, Hanchun Wen

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.

Jiulun Cai, Hongmin Cai, Jiazhou Chen, Xi Yang

IEEE ACM Trans. Comput. Biol. Bioinform., 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

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

Exsavi: Excavating both sample-wise and view-wise relationships to boost multi-view subspace clustering.

Haiyan Wang, Guoqiang Han, Bin Zhang, Guihua Tao, Hongmin Cai

Neurocomputing, 2020

Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning.

Qinjian Huang, Yue Zhang, Hong Peng, Tingting Dan, Wanlin Weng, Hongmin Cai

Neurocomputing, 2020

A Collaborative Dictionary Learning Model for Nasopharyngeal Carcinoma Segmentation on Multimodalities MR Sequences.

Haiyan Wang, Guoqiang Han, Haojiang Li, Guihua Tao, Enhong Zhuo, Lizhi Liu, Hongmin Cai, Yangming Ou

Comput. Math. Methods Medicine, 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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Breast Cancer Subtype by Imbalanced Omics Data through A Deep Learning Fusion Model.

Jingwen Zeng, Hongmin Cai, Tatsuya Akutsu

Proceedings of the ICBBB 2020: 10th International Conference on Bioscience, 2020

Single Fundus Image Super-Resolution Via Cascaded Channel-Wise Attention Network.

Zhihao Fan, Tingting Dan, Honghua Yu, Baoyi Liu, Hongmin Cai

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.

Haiyan Wang, Guoqiang Han, Bin Zhang, Yu Hu, Hong Peng, Chu Han, Hongmin Cai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Coarse-to-fine Nasopharyngeal Carcinoma Segmentation in MRI via Multi-stage Rendering.

Yang Li, Hong Peng, Tingting Dan, Yu Hu, Guihua Tao, Hongmin Cai

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.

Tingting Dan, Yang Li, Ziwei Zhu, Xijie Chen, Wuxiu Quan, Yu Hu, Guihua Tao, Lei Zhu, Jijin Zhu, Yuyan Jin, Longgeng Li, Chaokai Liang, Hanchun Wen, Hongmin Cai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Reconstruction of 3D Retina from Multi-viewed Stereo Fundus Images via Dynamic Registration.

Tingting Dan, Zhihao Fan, Yu Hu, Bin Zhang, Guihua Tao, Hongmin Cai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Recovering Hidden Diagonal Structures via Non-Negative Matrix Factorization with Multiple Constraints.

Xi Yang, Guoqiang Han, Hongmin Cai, Yan Song

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Finding Correlated Patterns via High-Order Matching for Multiple Sourced Biological Data.

Xi Yang, Guoqiang Han, Jiazhou Chen, Hongmin Cai

IEEE Trans. Biomed. Eng., 2019

Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality.

Zhengming Li, Zheng Zhang, Jie Qin, Sheng Li, Hongmin Cai

Neural Networks, 2019

Integrating Tensor Similarity to Enhance Clustering Performance.

Hong Peng, Jiazhou Chen, Haiyan Wang, Yu Hu, Hongmin Cai

CoRR, 2019

Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms.

Hongmin Cai, Qinjian Huang, Wentao Rong, Yan Song, Jiao Li, Jinhua Wang, Jiazhou Chen, Li Li

Comput. Math. Methods Medicine, 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

Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention.

Jia-bin Huang, Enhong Zhuo, Haojiang Li, Lizhi Liu, Hongmin Cai, Yangming Ou

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.

Hongmin Cai, Peihua Chen, Jiazhou Chen, Jiulun Cai, Yan Song, Guoqiang Han

IEEE Trans. Biomed. Eng., 2018

2017

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

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.

Bo Xu, Hongmin Cai, Changsheng Zhang, Xi Yang, Guoqiang Han

Comput. Biol. Chem., 2016

nbCNV: a multi-constrained optimization model for discovering copy number variants in single-cell sequencing data.

Changsheng Zhang, Hongmin Cai, Jingying Huang, Yan Song

BMC Bioinform., 2016

MDAGenera: An Efficient and Accurate Simulator for Multiple Displacement Amplification.

Weiheng Huang, Hongmin Cai, Wei Shao, Bo Xu, Fuqiang Li

Proceedings of the Intelligent Computing Theories and Application, 2016

Multi-norm constrained optimization methods for calling copy number variants in single cell sequencing data.

Changsheng Zhang, Hongmin Cai, Jingying Huang, Bo Xu

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.

Xiaoping Cheng, Hongmin Cai, Yue Zhang, Bo Xu, Weifeng Su

BMC Bioinform., 2015

MALBACsim: A Multiple Annealing and Looping Based Amplification Cycles simulator.

Tengpeng Li, Changsheng Zhang, Bo Xu, Hongmin Cai, Fuqiang Li

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.

Peihua Chen, Weiheng Huang, Wei Shao, Hongmin Cai

Proceedings of the 6th ACM Conference on Bioinformatics, 2015

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

A novel diffusion system for impulse noise removal based on a robust diffusion tensor.

Haiying Tian, Hongmin Cai, Jian-Huang Lai

Neurocomputing, 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

An Empirical Algorithm for Bias Correction Based on GC Estimation for Single Cell Sequencing.

Bo Xu, Tengpeng Li, Yi Luo, Ruotao Xu, Hongmin Cai

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

2013

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

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

Feature Weighting by RELIEF Based on Local Hyperplane Approximation.

Hongmin Cai, Michael K. P. Ng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Optimal Combination of Feature Weight Learning and Classification Based on Local Approximation.

Hongmin Cai, Michael Kwok-Po Ng

Proceedings of the Data and Knowledge Engineering - Third International Conference, 2012

2011

Improvements over Adaptive Local Hyperplane to Achieve Better Classification.

Hongmin Cai

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2011

Effective image noise removal based on difference eigenvalue.

Haiying Tian, Hongmin Cai, Jian-Huang Lai, Xiaoyin Xu

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

Design and implementation of a DIDS.

Hongmin Cai, Naiqi Wu

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.

Hongmin Cai, Xiaoyin Xu, Ju Lu, Jeff Lichtman, S. P. Yung, Stephen T. C. Wong

Medical Image Anal., 2008

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

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

A New Nonlinear Diffusion Method to Improve Image Quality.

Yue Zhang, Xiaoyin Xu, Hongmin Cai, S. P. Yung, Stephen T. C. Wong

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.

Hongmin Cai, Xiaoyin Xu, Ju Lu, Jeff W. Lichtman, S. P. Yung, Stephen T. C. Wong

NeuroImage, 2006

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

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006