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2020 – today
- 2025
[j81]Bin Zhang
, Yue Zhang, Junyu Li, Jiazhou Chen, Tatsuya Akutsu, Yiu-Ming Cheung, Hongmin Cai:
Unsupervised Dual Deep Hashing With Semantic-Index and Content-Code for Cross-Modal Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 387-399 (2025)- 2024
- [j80]Tingting Dan, Xijie Chen, Miao He, Hongmei Guo, Xiaoqin He, Jiazhou Chen, Jianbo Xian, Yu Hu, Bin Zhang, Nan Wang, Hongning Xie, Hongmin Cai:
Corrigendum to "DeepGA for automatically estimating fetal gestational age through ultrasound imaging" [Artif. Intell. Med. 135 (2023) 102453]. Artif. Intell. Medicine 149: 102768 (2024) - [j79]Yongwei Nie, Meihua Zhao, Qing Zhang, Ping Li, Jian Zhu, Hongmin Cai:
Make static person walk again via separating pose action from shape. Graph. Model. 134: 101222 (2024) - [j78]Wuxiu Quan, Yu Hu, Tingting Dan, Junyu Li, Yue Zhang, Hongmin Cai:
Weakly-supervised instance co-segmentation via tensor-based salient co-peak search. Frontiers Comput. Sci. 18(2): 182305 (2024) - [j77]Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, David Liu, Dajiang Zhu, Sheng Li, Wei Liu, Tianming Liu, Quanzheng Li, Hongmin Cai, Xiang Li:
Mask-guided BERT for few-shot text classification. Neurocomputing 610: 128576 (2024) - [j76]Yue Zhang, Wuxiu Quan, Tatsuya Akutsu, Li Liu, Hongmin Cai, Bin Zhang:
Accurate multi-view clustering to seek the cross-viewed yet uniform sample assignment via tensor feature matching. Inf. Sci. 664: 120305 (2024) - [j75]Jifei Miao, Kit Ian Kou, Hongmin Cai, Lizhi Liu:
Quaternion Tensor Left Ring Decomposition and Application for Color Image Inpainting. J. Sci. Comput. 101(1): 1 (2024) - [j74]Xudong Yang, Aoran Lyu, Chuhua Xian, Hongmin Cai:
Microfacet rendering with diffraction compensation. Comput. Animat. Virtual Worlds 35(3) (2024) - [j73]Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Ninghao Liu, Tianming Liu, Quanzheng Li, Xiang Li, Hongmin Cai:
Zero-shot relation triplet extraction as Next-Sentence Prediction. Knowl. Based Syst. 304: 112507 (2024) - [j72]Zhikang Wang, Jiani Ma, Qian Gao, Chris Bain, Seiya Imoto, Pietro Liò, Hongmin Cai, Hao Chen, Jiangning Song:
Dual-stream multi-dependency graph neural network enables precise cancer survival analysis. Medical Image Anal. 97: 103252 (2024) - [j71]Hongmin Cai, Weitian Huang, Sirui Yang, Siqi Ding, Yue Zhang, Bin Hu, Fa Zhang, Yiu-Ming Cheung:
Realize Generative Yet Complete Latent Representation for Incomplete Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3637-3652 (2024) - [j70]Hongmin Cai, Yu Hu, Fei Qi, Bin Hu, Yiu-ming Cheung:
Deep Tensor Spectral Clustering Network via Ensemble of Multiple Affinity Tensors. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 5080-5091 (2024) - [j69]Hongmin Cai, Yu Wang, Fei Qi, Zhuoyao Wang, Yiu-ming Cheung:
Multiview Tensor Spectral Clustering via Co-Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6795-6808 (2024) - [j68]Yuqin Lu, Bailin Deng, Zhixuan Zhong, Tianle Zhang, Yuhui Quan, Hongmin Cai, Shengfeng He:
3D Snapshot: Invertible Embedding of 3D Neural Representations in a Single Image. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11524-11531 (2024) - [j67]Xiang Fu, Ying Wang, Jialong Li, Hongmin Cai, Xinyan Zhang, Zhijun Yao, Minqiang Yang, Weihao Zheng:
Decomposing Neuroanatomical Heterogeneity of Autism Spectrum Disorder Across Different Developmental Stages Using Morphological Multiplex Network Model. IEEE Trans. Comput. Soc. Syst. 11(5): 6557-6567 (2024) - [j66]Yue Zhang, Sirui Yang, Weitian Huang, Chang-Dong Wang, Hongmin Cai:
Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 615-626 (2024) - [j65]Yue Zhang, Xin Sun, Hongmin Cai, Haiyan Wang, Jiazhou Chen, Endai Guo, Fei Qi, Junyu Li:
Collaborative Embedding Learning via Tensor Integration for Multi-View Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1841-1852 (2024) - [j64]Junyu Li, Fei Qi, Xin Sun, Bin Zhang, Xiangmin Xu, Hongmin Cai:
Unsupervised Feature Selection via Collaborative Embedding Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2529-2540 (2024) - [j63]Hongmin Cai, Yi Liao, Lei Zhu, Zhikang Wang, Jiangning Song:
Improving Cancer Survival Prediction via Graph Convolutional Neural Network Learning on Protein-Protein Interaction Networks. IEEE J. Biomed. Health Informatics 28(2): 1134-1143 (2024) - [j62]Junyu Li, Fei Qi, Haoliang Yuan, Cheng Zhong, Hongmin Cai:
Stacked Network to Realize Spectral Clustering With Adaptive Graph Learning. IEEE Trans. Knowl. Data Eng. 36(7): 3501-3513 (2024) - [j61]Hongmin Cai, Bin Zhang, Junyu Li, Bin Hu, Jiazhou Chen:
Unsupervised Dual Hashing Coding (UDC) on Semantic Tagging and Sample Content for Cross-Modal Retrieval. IEEE Trans. Multim. 26: 9109-9120 (2024) - [j60]Aoran Lyu, Shixian Zhao, Chuhua Xian, Zhihao Cen, Hongmin Cai, Guoxin Fang:
Accelerate Neural Subspace-Based Reduced-Order Solver of Deformable Simulation by Lipschitz Optimization. ACM Trans. Graph. 43(6): 259:1-259:10 (2024) - [c56]Yongwei Nie, Rong Pan, Qing Zhang, Xuemiao Xu, Guiqing Li, Hongmin Cai:
Face Expression Recognition via Product-Cross Dual Attention and Neutral-Aware Anchor Loss. CVM (2) 2024: 70-90 - [c55]Yongwei Nie, Changzhen Liu, Chengjiang Long, Qing Zhang, Guiqing Li, Hongmin Cai:
Multi-RoI Human Mesh Recovery with Camera Consistency and Contrastive Losses. ECCV (47) 2024: 439-458 - [c54]Yongwei Nie, Hao Huang, Chengjiang Long, Qing Zhang, Pradipta Maji, Hongmin Cai:
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection. ECCV (30) 2024: 449-467 - [c53]Hongmin Cai, Weiting Yi, Weitian Huang, Zhikang Wang, Yue Zhang, Jiangning Song:
A Hierarchical Hypergraph Attention Network for Survival Analysis from Pathological Images. ISBI 2024: 1-4 - [c52]Shangyan Cai, Weitian Huang, Weiting Yi, Bin Zhang, Yi Liao, Qiu Wang, Hongmin Cai, Luonan Chen, Weifeng Su:
Survival Analysis of Histopathological Image Based on a Pretrained Hypergraph Model of Spatial Transcriptomics Data. MICCAI (3) 2024: 455-466 - [i14]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:
The Radiation Oncology NLP Database. CoRR abs/2401.10995 (2024) - [i13]Yongwei Nie, Hao Huang, Chengjiang Long, Qing Zhang, Pradipta Maji, Hongmin Cai:
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection. CoRR abs/2401.13551 (2024) - [i12]Yongwei Nie, Changzhen Liu, Chengjiang Long, Qing Zhang, Guiqing Li, Hongmin Cai:
Multiple-Crop Human Mesh Recovery with Contrastive Learning and Camera Consistency in A Single Image. CoRR abs/2402.02074 (2024) - [i11]Peng-Ling Wu, Kit Ian Kou, Hongmin Cai, Zhaoyuan Yu:
Efficient quaternion CUR method for low-rank approximation to quaternion matrix. CoRR abs/2402.19147 (2024) - [i10]Aoran Lyu, Shixian Zhao, Chuhua Xian, Zhihao Cen, Hongmin Cai, Guoxin Fang:
Accelerate Neural Subspace-Based Reduced-Order Solver of Deformable Simulation by Lipschitz Optimization. CoRR abs/2409.03807 (2024) - 2023
- [j59]Tingting Dan, Xijie Chen, Miao He, Hongmei Guo, Xiaoqin He, Jiazhou Chen, Jianbo Xian, Yu Hu, Bin Zhang, Nan Wang, Hongning Xie, Hongmin Cai:
DeepGA for automatically estimating fetal gestational age through ultrasound imaging. Artif. Intell. Medicine 135: 102453 (2023) - [j58]Yue Zhang, Yuqing Hu, Na Han, Aqing Yang, Xiaoyong Liu, Hongmin Cai:
A survey of drug-target interaction and affinity prediction methods via graph neural networks. Comput. Biol. Medicine 163: 107136 (2023) - [j57]Zijian Liu, Weilong Ding, Tao Chen, Maoxiang Sun, Hongmin Cai, Chen Liu:
A electricity theft detection method through contrastive learning in smart grid. EURASIP J. Wirel. Commun. Netw. 2023(1): 54 (2023) - [j56]Huan Liu, Hongmin Cai, Defu Yang, Wentao Zhu, Guorong Wu, Jiazhou Chen:
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer's disease. Medical Image Anal. 87: 102812 (2023) - [j55]Ruicun Liu, Tuoyu Liu, Tingting Dan, Shan Yang, Yanbing Li, Boyu Luo, Yingtan Zhuang, Xinyue Fan, Xianchao Zhang, Hongmin Cai, Yue Teng:
AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images. Patterns 4(9): 100806 (2023) - [j54]Jiazhou Chen, Guoqiang Han, Aodan Xu, Tatsuya Akutsu, Hongmin Cai:
Identifying miRNA-Gene Common and Specific Regulatory Modules for Cancer Subtyping by a High-Order Graph Matching Model. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 421-431 (2023) - [j53]Jiazhou Chen, Wentao Rong, Guihua Tao, Hongmin Cai:
Similarity Fusion via Exploiting High Order Proximity for Cancer Subtyping. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 658-667 (2023) - [j52]Dandan Lu, Ming Li, Yi Liao, Guihua Tao, Hongmin Cai:
Verifiable Privacy-Preserving Queries on Multi-Source Dynamic DNA Datasets. IEEE Trans. Cloud Comput. 11(2): 1927-1939 (2023) - [j51]Junyu Li, Jiazhou Chen, Fei Qi, Tingting Dan, Wanlin Weng, Bin Zhang, Haoliang Yuan, Hongmin Cai, Cheng Zhong:
Two-Dimensional Unsupervised Feature Selection via Sparse Feature Filter. IEEE Trans. Cybern. 53(9): 5605-5617 (2023) - [j50]Zhichao Zhou, Yu Hu, Yue Zhang, Jiazhou Chen, Hongmin Cai:
Multiview Deep Graph Infomax to Achieve Unsupervised Graph Embedding. IEEE Trans. Cybern. 53(10): 6329-6339 (2023) - [j49]Xiaoqi Sheng, Jiazhou Chen, Yong Liu, Bin Hu, Hongmin Cai:
Deep Manifold Harmonic Network With Dual Attention for Brain Disorder Classification. IEEE J. Biomed. Health Informatics 27(1): 131-142 (2023) - [j48]Hongmin Cai, Huan Liu, Defu Yang, Guorong Wu, Bin Hu, Jiazhou Chen:
Estimating Outlier-Immunized Common Harmonic Waves for Brain Network Analyses on the Stiefel Manifold. IEEE J. Biomed. Health Informatics 27(5): 2411-2422 (2023) - [j47]Yu Hu, Endai Guo, Zhi Xie, Xinwang Liu, Hongmin Cai:
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold. IEEE Trans. Knowl. Data Eng. 35(10): 10397-10410 (2023) - [c51]Fei Qi, Junyu Li, Yi Liao, Wenxiong Liao, Jiazhou Chen, Hongmin Cai:
Multi-Kernel Tensor Fusion on Grassmann Manifold for Genomic Data Clustering. BIBM 2023: 609-615 - [c50]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:
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. BIBM 2023: 1294-1299 - [c49]Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li:
Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript. BI 2023: 395-406 - [c48]Siqi Wu, Jianming Lv, Chen Liu, Hongmin Cai:
Incremental Recommendation Algorithm Based on the Influence Propagation Model. ICANN (7) 2023: 310-324 - [c47]Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He:
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation. ICME 2023: 2363-2368 - [c46]Aihua Mao, Yaqi Duan, Yu-Hui Wen, Zihui Du, Hongmin Cai, Yong-Jin Liu:
Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling. IJCAI 2023: 1267-1275 - [c45]Hongmin Cai, Tingting Dan, Zhuobin Huang, Guorong Wu:
OSR-NET: Ordinary Differential Equation-Based Brain State Recognition Neural Network. ISBI 2023: 1-5 - [c44]Hongmin Cai, Zhixuan Zhou, Defu Yang, Guorong Wu, Jiazhou Chen:
Discovering Brain Network Dysfunction in Alzheimer's Disease Using Brain Hypergraph Neural Network. MICCAI (5) 2023: 230-240 - [c43]Yaobin Zhang, Jianming Lv, Chen Liu, Hongmin Cai:
Graph based Spatial-temporal Fusion for Multi-modal Person Re-identification. ACM Multimedia 2023: 3736-3744 - [c42]Weitian Huang, Sirui Yang, Hongmin Cai:
Generalized Information-theoretic Multi-view Clustering. NeurIPS 2023 - [c41]Zhang Jun, Chuhua Xian, Alexandre Bruckert, Patrick Le Callet, Guiqing Li, Hongmin Cai:
VSGAN: Visual Saliency guided Generative Adversarial Network for data augmentation. IMX Workshops 2023: 69-75 - [i9]Hongmin Cai, Fei Qi, Junyu Li, Yu Hu, Yue Zhang, Yiu-ming Cheung, Bin Hu:
Uniform tensor clustering by jointly exploring sample affinities of various orders. CoRR abs/2302.01569 (2023) - [i8]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:
Mask-guided BERT for Few Shot Text Classification. CoRR abs/2302.10447 (2023) - [i7]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:
ChatAug: Leveraging ChatGPT for Text Data Augmentation. CoRR abs/2302.13007 (2023) - [i6]Wenxiong Liao, Zhengliang Liu, Haixing Dai, Shaochen Xu, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Dajiang Zhu, Hongmin Cai, Tianming Liu, Xiang Li:
Differentiate ChatGPT-generated and Human-written Medical Texts. CoRR abs/2304.11567 (2023) - [i5]Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li:
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data. CoRR abs/2307.02514 (2023) - 2022
- [j46]Pengshuai Yin, Hongmin Cai, Qingyao Wu:
DF-Net: Deep fusion network for multi-source vessel segmentation. Inf. Fusion 78: 199-208 (2022) - [j45]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:
SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance. Medical Image Anal. 78: 102381 (2022) - [j44]Jiazhou Chen, Hongmin Cai, Defu Yang, Martin Styner, Guorong Wu, Alzheimer's Disease Neuroimaging Initiative:
Characterizing the propagation pathway of neuropathological events of Alzheimer's disease using harmonic wavelet analysis. Medical Image Anal. 79: 102446 (2022) - [j43]Ali Alfatemi, Hong Peng, Wentao Rong, Bin Zhang, Hongmin Cai:
Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold. BMC Medical Informatics Decis. Mak. 22(1): 190 (2022) - [j42]Hong Peng, Yu Hu, Jiazhou Chen, Haiyan Wang, Yang Li, Hongmin Cai:
Integrating Tensor Similarity to Enhance Clustering Performance. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2582-2593 (2022) - [j41]Hong Peng, Haiyan Wang, Yu Hu, Weiwei Zhou, Hongmin Cai:
Multi-dimensional clustering through fusion of high-order similarities. Pattern Recognit. 121: 108108 (2022) - [j40]Bin Zhang, Hongmin Cai, Jiazhou Chen, Yu Hu, Jie Huang, Wentao Rong, Wanlin Weng, Qinjian Huang, Haiyan Wang, Hong Peng:
Fast and Accurate Clustering of Multiple Modality Data via Feature Matching. IEEE Trans. Cybern. 52(6): 5040-5050 (2022) - [j39]Yue Zhang, Qinjian Huang, Bin Zhang, Shengfeng He, Tingting Dan, Hong Peng, Hongmin Cai:
Deep Multiview Clustering via Iteratively Self-Supervised Universal and Specific Space Learning. IEEE Trans. Cybern. 52(11): 11734-11746 (2022) - [j38]Jiazhou Chen, Jie Huang, Yi Liao, Lei Zhu, Hongmin Cai:
Identify Multiple Gene-Drug Common Modules via Constrained Graph Matching. IEEE J. Biomed. Health Informatics 26(9): 4794-4805 (2022) - [j37]Yang Li, Tingting Dan, Haojiang Li, Jiazhou Chen, Hong Peng, Lizhi Liu, Hongmin Cai:
NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images. IEEE Trans. Medical Imaging 41(7): 1639-1650 (2022) - [j36]Tingting Dan, Zhuobin Huang, Hongmin Cai, Paul J. Laurienti, Guorong Wu:
Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network. IEEE Trans. Medical Imaging 41(10): 2752-2763 (2022) - [j35]Hanjie Wu, Yongtuo Liu, Hongmin Cai, Shengfeng He:
Learning Transferable Perturbations for Image Captioning. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 57:1-57:18 (2022) - [c40]Haiyan Wang, Jiazhou Chen, Bin Zhang, Hongmin Cai:
Accurate Multi-view Clustering by Exploiting Within-view High-order Affinities through Tensor Self-representation. BIBM 2022: 595-600 - [c39]Hongmin Cai, Weiting Yi, Yucheng Li, Wenxiong Liao, Jiangning Song:
A Regional Multiple Instance Learning Network for Whole Slide Image Segmentation. BIBM 2022: 922-928 - [c38]Guihua Tao, Haojiang Li, Dandan Lu, Ziqin Ling, Lizhi Liu, Hongmin Cai:
Reler: Relearning Controversial Regions to Accurately Segment Nasopharyngeal Carcinoma. BIBM 2022: 1207-1212 - [c37]Ziqin Ling, Guihua Tao, Yang Li, Hongmin Cai:
NPCFORMER: Automatic Nasopharyngeal Carcinoma Segmentation Based on Boundary Attention and Global Position Context Attention. ICIP 2022: 1981-1985 - [c36]Yu Hu, Hongmin Cai:
Multi-View Clustering Through Hypergraphs Integration on Stiefel Manifold. ICME 2022: 1-6 - [c35]Tingting Dan, Zhuobin Huang, Hongmin Cai, Guorong Wu:
Manifold Learning in Detecting the Transitions of Dynamic Functional Connectivities Boosts Brain State-Specific Recognition. ISBI 2022: 1-4 - [c34]Tingting Dan, Hongmin Cai, Zhuobin Huang, Paul J. Laurienti, Won Hwa Kim, Guorong Wu:
Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition. MICCAI (8) 2022: 365-374 - [i4]Hongmin Cai, Wenxiong Liao, Zhengliang Liu, Xiaoke Huang, Yiyang Zhang, Siqi Ding, Sheng Li, Quanzheng Li, Tianming Liu, Xiang Li:
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. CoRR abs/2211.02849 (2022) - 2021
- [j34]Jie Huang, Jiazhou Chen, Bin Zhang, Lei Zhu, Hongmin Cai:
Evaluation of gene-drug common module identification methods using pharmacogenomics data. Briefings Bioinform. 22(3) (2021) - [j33]Zhuohui Wei, Yue Zhang, Wanlin Weng, Jiazhou Chen, Hongmin Cai:
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. 22(3) (2021) - [j32]Dandan Lu, Yue Zhang, Ling Zhang, Haiyan Wang, Wanlin Weng, Li Li, Hongmin Cai:
Methods of privacy-preserving genomic sequencing data alignments. Briefings Bioinform. 22(6) (2021) - [j31]Lanlan Wu, Fei Liu, Hongmin Cai:
IOAT: an interactive tool for statistical analysis of omics data and clinical data. BMC Bioinform. 22(1): 326 (2021) - [j30]Tatsuya Akutsu, Hongmin Cai:
Editorial: Inference of Biological Networks. Frontiers Bioinform. 1 (2021) - [j29]Tingting Dan, Yu Hu, Chu Han, Zhihao Fan, Zhuobin Huang, Bin Zhang, Guihua Tao, Baoyi Liu, Honghua Yu, Hongmin Cai:
Fusion of multi-source retinal fundus images via automatic registration for clinical diagnosis. Neurocomputing 459: 370-382 (2021) - [j28]Zhihao Fan, Tingting Dan, Baoyi Liu, Xiaoqi Sheng, Honghua Yu, Hongmin Cai:
SGUNet: Style-guided UNet for adversely conditioned fundus image super-resolution. Neurocomputing 465: 238-247 (2021) - [j27]Wentao Rong, Enhong Zhuo, Hong Peng, Jiazhou Chen, Haiyan Wang, Chu Han, Hongmin Cai:
Learning a consensus affinity matrix for multi-view clustering via subspaces merging on Grassmann manifold. Inf. Sci. 547: 68-87 (2021) - [j26]Haiyan Wang, Guoqiang Han, Junyu Li, Bin Zhang, Jiazhou Chen, Yu Hu, Chu Han, Hongmin Cai:
Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning. Inf. Sci. 563: 290-308 (2021) - [j25]Haiyan Wang, Guoqiang Han, Bin Zhang, Guihua Tao, Hongmin Cai:
Multi-View Learning a Decomposable Affinity Matrix via Tensor Self-Representation on Grassmann Manifold. IEEE Trans. Image Process. 30: 8396-8409 (2021) - [j24]Jiazhou Chen, Guoqiang Han, Hongmin Cai, Defu Yang, Paul J. Laurienti, Martin Styner, Guorong Wu:
Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses. IEEE Trans. Medical Imaging 40(1): 419-430 (2021) - [c33]Tingting Dan, Yang Li, Ziwei Zhu, Xijie Chen, Wuxiu Quan, Yu Hu, Guihua Tao, Lei Zhu, Jijin Zhu, Hongmin Cai, Hanchun Wen:
Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China. AAAI 2021: 4804-4811 - [c32]Bin Zhang, Hongmin Cai:
Multi-Omics Data Clustering via the Guidance of Highly Correlated Features. BIBM 2021: 789-792 - [c31]Guihua Tao, Haojiang Li, Lizhi Liu, Hongmin Cai:
Detection-and-Excitation Neural Network Achieves Accurate Nasopharyngeal Carcinoma Segmentation in Multi-modality MR Images. BIBM 2021: 1063-1068 - [c30]Zhuobin Huang, Tingting Dan, Yi Lin, Jiazhou Chen, Hongmin Cai, Guorong Wu:
Detecting Brain State Changes via Manifold Mean Shifting. BIBM 2021: 1335-1338 - [c29]Han Deng, Chu Han, Hongmin Cai, Guoqiang Han, Shengfeng He:
Spatially-Invariant Style-Codes Controlled Makeup Transfer. CVPR 2021: 6549-6557 - [c28]Guihua Tao, Wentao Rong, Wanlin Weng, Tingting Dan, Bin Zhang, Hongmin Cai:
Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training. ICANN (2) 2021: 307-318 - [c27]Hong Peng, Hongmin Cai:
Multi-View Clustering Through Self-Weighted High-Order Similarity Fusion. ICME 2021: 1-6 - [c26]Haiyan Wang, Guoqiang Han, Yu Hu, Hong Peng, Jiazhou Chen, Bin Zhang, Hongmin Cai:
Multi-View Tensor Clustering Through Exploiting Both Within-View and Across-View High-Order Correlations. ICME 2021: 1-6 - [c25]Jiazhou Chen, Defu Yang, Hongmin Cai, Martin Styner, Guorong Wu:
Discovering Spreading Pathways of Neuropathological Events in Alzheimer's Disease Using Harmonic Wavelets. IPMI 2021: 228-240 - [c24]Zhuobin Huang, Hongmin Cai, Tingting Dan, Yi Lin, Paul J. Laurienti, Guorong Wu:
Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold. MICCAI (7) 2021: 543-552 - [c23]Wentao Rong, Enhong Zhuo, Guihua Tao, Hongmin Cai:
Effective and Adaptive Refined Multi-metric Similarity Graph Fusion for Multi-view Clustering. PAKDD (2) 2021: 194-206 - [i3]Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He:
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation. CoRR abs/2108.02980 (2021) - 2020
- [j23]Baihong Xie, Ting Lei, Nan Wang, Hongmin Cai, Jianbo Xian, Miao He, Lihe Zhang, Hongning Xie:
Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. 15(8): 1303-1312 (2020) - [j22]Haiyan Wang, Guoqiang Han, Haojiang Li, Guihua Tao, Enhong Zhuo, Lizhi Liu, Hongmin Cai, Yangming Ou:
A Collaborative Dictionary Learning Model for Nasopharyngeal Carcinoma Segmentation on Multimodalities MR Sequences. Comput. Math. Methods Medicine 2020: 7562140:1-7562140:15 (2020) - [j21]Wanlin Weng, Weiwei Zhou, Jiazhou Chen, Hong Peng, Hongmin Cai:
Enhancing multi-view clustering through common subspace integration by considering both global similarities and local structures. Neurocomputing 378: 375-386 (2020) - [j20]Qinjian Huang, Yue Zhang, Hong Peng, Tingting Dan, Wanlin Weng, Hongmin Cai:
Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning. Neurocomputing 404: 340-350 (2020) - [j19]Haiyan Wang, Guoqiang Han, Bin Zhang, Guihua Tao, Hongmin Cai:
Exsavi: Excavating both sample-wise and view-wise relationships to boost multi-view subspace clustering. Neurocomputing 418: 66-78 (2020) - [j18]Jiazhou Chen, Guoqiang Han, Aodan Xu, Hongmin Cai:
Identification of Multidimensional Regulatory Modules Through Multi-Graph Matching With Network Constraints. IEEE Trans. Biomed. Eng. 67(4): 987-998 (2020) - [j17]Jiulun Cai, Hongmin Cai, Jiazhou Chen, Xi Yang:
Identifying "Many-to-Many" Relationships between Gene-Expression Data and Drug-Response Data via Sparse Binary Matching. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 165-176 (2020) - [c22]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:
Machine Learning to Predict ICU Admission, ICU Mortality and Survivors' Length of Stay among COVID-19 Patients: Toward Optimal Allocation of ICU Resources. BIBM 2020: 555-561 - [c21]Yang Li, Hong Peng, Tingting Dan, Yu Hu, Guihua Tao, Hongmin Cai:
Coarse-to-fine Nasopharyngeal Carcinoma Segmentation in MRI via Multi-stage Rendering. BIBM 2020: 623-628 - [c20]Haiyan Wang, Guoqiang Han, Bin Zhang, Yu Hu, Hong Peng, Chu Han, Hongmin Cai:
Tensor-based Low-rank and Graph Regularized Representation Learning for Multi-view Clustering. BIBM 2020: 821-826 - [c19]Tingting Dan, Zhihao Fan, Yu Hu, Bin Zhang, Guihua Tao, Hongmin Cai:
Reconstruction of 3D Retina from Multi-viewed Stereo Fundus Images via Dynamic Registration. BIBM 2020: 980-984 - [c18]Zhihao Fan, Tingting Dan, Honghua Yu, Baoyi Liu, Hongmin Cai:
Single Fundus Image Super-Resolution Via Cascaded Channel-Wise Attention Network. EMBC 2020: 1984-1987 - [c17]Jingwen Zeng, Hongmin Cai, Tatsuya Akutsu:
Breast Cancer Subtype by Imbalanced Omics Data through A Deep Learning Fusion Model. ICBBB 2020: 78-83 - [c16]Jiazhou Chen, Guoqiang Han, Hongmin Cai, Junbo Ma, Minjeong Kim, Paul J. Laurienti, Guorong Wu:
Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold. MICCAI (7) 2020: 367-376 - [i2]Jiazhou Chen, Guoqiang Han, Hongmin Cai, Defu Yang, Paul J. Laurienti, Martin Styner, Guorong Wu:
Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses. CoRR abs/2007.13533 (2020)
2010 – 2019
- 2019
- [j16]Jiazhou Chen, Hong Peng, Guoqiang Han, Hongmin Cai, Jiulun Cai:
HOGMMNC: a higher order graph matching with multiple network constraints model for gene-drug regulatory modules identification. Bioinform. 35(4): 602-610 (2019) - [j15]Hongmin Cai, Qinjian Huang, Wentao Rong, Yan Song, Jiao Li, Jinhua Wang, Jiazhou Chen, Li Li:
Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms. Comput. Math. Methods Medicine 2019: 2717454:1-2717454:10 (2019) - [j14]Zhengming Li, Zheng Zhang, Jie Qin, Sheng Li, Hongmin Cai:
Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality. Neural Networks 119: 93-112 (2019) - [j13]Xi Yang, Guoqiang Han, Jiazhou Chen, Hongmin Cai:
Finding Correlated Patterns via High-Order Matching for Multiple Sourced Biological Data. IEEE Trans. Biomed. Eng. 66(4): 1017-1025 (2019) - [j12]Xi Yang, Guoqiang Han, Hongmin Cai, Yan Song:
Recovering Hidden Diagonal Structures via Non-Negative Matrix Factorization with Multiple Constraints. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1760-1772 (2019) - [c15]Jia-bin Huang, Enhong Zhuo, Haojiang Li, Lizhi Liu, Hongmin Cai, Yangming Ou:
Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention. MICCAI (5) 2019: 494-502 - [i1]Hong Peng, Jiazhou Chen, Haiyan Wang, Yu Hu, Hongmin Cai:
Integrating Tensor Similarity to Enhance Clustering Performance. CoRR abs/1905.03920 (2019) - 2018
- [j11]Hongmin Cai, Peihua Chen, Jiazhou Chen, Jiulun Cai, Yan Song, Guoqiang Han:
WaveDec: A Wavelet Approach to Identify Both Shared and Individual Patterns of Copy-Number Variations. IEEE Trans. Biomed. Eng. 65(2): 353-364 (2018) - 2017
- [c14]Jingying Huang, Yuwen Zhou, Aodan Xu, Enhong Zhuo, Xin Jin, Hongmin Cai:
A copy-number variation detection pipeline for single cell sequencing data on BGI online. BIBM 2017: 243-246 - 2016
- [j10]Changsheng Zhang, Hongmin Cai, Jingying Huang, Yan Song:
nbCNV: a multi-constrained optimization model for discovering copy number variants in single-cell sequencing data. BMC Bioinform. 17: 384 (2016) - [j9]Bo Xu, Hongmin Cai, Changsheng Zhang, Xi Yang, Guoqiang Han:
Copy number variants calling for single cell sequencing data by multi-constrained optimization. Comput. Biol. Chem. 63: 15-20 (2016) - [c13]Changsheng Zhang, Hongmin Cai, Jingying Huang, Bo Xu:
Multi-norm constrained optimization methods for calling copy number variants in single cell sequencing data. BIBM 2016: 156-160 - [c12]Weiheng Huang, Hongmin Cai, Wei Shao, Bo Xu, Fuqiang Li:
MDAGenera: An Efficient and Accurate Simulator for Multiple Displacement Amplification. ICIC (1) 2016: 258-267 - 2015
- [j8]Xiaoping Cheng, Hongmin Cai, Yue Zhang, Bo Xu, Weifeng Su:
Optimal combination of feature selection and classification via local hyperplane based learning strategy. BMC Bioinform. 16: 219:1-219:10 (2015) - [c11]Peihua Chen, Weiheng Huang, Wei Shao, Hongmin Cai:
Discrimination of recurrent CNVs from individual ones from multisample aCGH by jointly constrained minimization. BCB 2015: 186-193 - [c10]Tengpeng Li, Changsheng Zhang, Bo Xu, Hongmin Cai, Fuqiang Li:
MALBACsim: A Multiple Annealing and Looping Based Amplification Cycles simulator. BIBM 2015: 97-100 - 2014
- [j7]Hongmin Cai, Peiying Ruan, Michael Kwok-Po Ng, Tatsuya Akutsu:
Feature weight estimation for gene selection: a local hyperlinear learning approach. BMC Bioinform. 15: 70 (2014) - [j6]Haiying Tian, Hongmin Cai, Jian-Huang Lai:
A novel diffusion system for impulse noise removal based on a robust diffusion tensor. Neurocomputing 133: 222-230 (2014) - [j5]Hongmin Cai, Zhong Yang, Xinhua Cao, Weiming Xia, Xiaoyin Xu:
A New Iterative Triclass Thresholding Technique in Image Segmentation. IEEE Trans. Image Process. 23(3): 1038-1046 (2014) - [c9]Bo Xu, Tengpeng Li, Yi Luo, Ruotao Xu, Hongmin Cai:
An Empirical Algorithm for Bias Correction Based on GC Estimation for Single Cell Sequencing. PAKDD Workshops 2014: 15-21 - 2013
- [j4]Weifeng Su, Hejun Wu, Yafei Li, Jing Zhao, Frederick H. Lochovsky, Hongmin Cai, Tianqiang Huang:
Understanding query interfaces by statistical parsing. ACM Trans. Web 7(2): 8:1-8:22 (2013) - 2012
- [j3]Hongmin Cai, Chunyan Cui, Haiying Tian, Min Zhang, Li Li:
A Novel Approach to Segment and Classify Regional Lymph Nodes on Computed Tomography Images. Comput. Math. Methods Medicine 2012: 145926:1-145926:9 (2012) - [c8]Hongmin Cai, Michael Kwok-Po Ng:
Optimal Combination of Feature Weight Learning and Classification Based on Local Approximation. ICDKE 2012: 86-94 - [c7]Hongmin Cai, Michael K. P. Ng:
Feature Weighting by RELIEF Based on Local Hyperplane Approximation. PAKDD (2) 2012: 335-346 - 2011
- [c6]Haiying Tian, Hongmin Cai, Jian-Huang Lai, Xiaoyin Xu:
Effective image noise removal based on difference eigenvalue. ICIP 2011: 3357-3360 - [c5]Hongmin Cai:
Improvements over Adaptive Local Hyperplane to Achieve Better Classification. ICDM 2011: 1-10 - 2010
- [c4]Hongmin Cai, Naiqi Wu:
Design and implementation of a DIDS. WCNIS 2010: 340-342
2000 – 2009
- 2008
- [j2]Hongmin Cai, Xiaoyin Xu, Ju Lu, Jeff Lichtman, S. P. Yung, Stephen T. C. Wong:
Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images. Medical Image Anal. 12(6): 666-675 (2008) - 2007
- [c3]Yue Zhang, Xiaoyin Xu, Hongmin Cai, S. P. Yung, Stephen T. C. Wong:
A New Nonlinear Diffusion Method to Improve Image Quality. ICIP (1) 2007: 329-332 - [c2]Hongmin Cai, Ragini Verma, Yangming Ou, Seung-Koo Lee, Elias R. Melhem, Christos Davatzikos:
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images. ISBI 2007: 600-603 - 2006
- [j1]Hongmin Cai, Xiaoyin Xu, Ju Lu, Jeff W. Lichtman, S. P. Yung, Stephen T. C. Wong:
Repulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacks. NeuroImage 32(4): 1608-1620 (2006) - [c1]Hongmin Cai, Xiaoyin Xu, Ju Lu, Jeff Lichtman, S. P. Yung, Stephen T. C. Wong:
Shape-constrained repulsive snake method to segment and track neurons in 3D microscopy images. ISBI 2006: 538-541
Coauthor Index
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