Hongmin Cai

192 papers A* 8A 4B 2Journal 122Unranked 56
YearRankTypeTitle / Venue / Authors
2026 J jnl
EPILOGUE: Multi-View Graph Contrastive Learning for Gene Function Prediction.
IEEE Trans. Comput. Biol. Bioinform.
Yue Zhang, Yuting Bai, Endai Guo, Yi Liao, Kening Zhao, Weitian Huang, Hongmin Cai
2026 A* conf
Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives.
AAAI
Hongshan Pu, Haoxu Zhang, Ye Liu, Hongmin Cai
2026 J jnl
Incremental Learning Strategy With Multi-View Deep Learning for Disease-Related miRNAs/lncRNAs Identification.
IEEE Trans. Emerg. Top. Comput. Intell.
Ning Ai, Haoliang Yuan, Zhonghua Lu, Yong Liang, Qi Hong Lai, Loi Lei Lai, Hongmin Cai, Dong Ouyang
2026 A* conf
MIGDiff: Multi-attributes Imputations for Attribute-missing Graphs via Graph Denoising Diffusion Model.
AAAI
Ye Liu, Yang Chen, Hongmin Cai
2025 J jnl
A Novel Spatio-Temporal Hub Identification in Brain Networks by Learning Dynamic Graph Embedding on Grassmannian Manifolds.
IEEE Trans. Medical Imaging
Defu Yang, Hui Shen, Minghan Chen, Shuai Wang, Jiazhou Chen, Hongmin Cai, Xueli Chen, Guorong Wu, Wentao Zhu
2025 J jnl
A Simplified Input Strategy for Predicting Multi-Type Associations in miRNA-LncRNA-Disease Network via Stacked Deep Matrix Factorization.
IEEE Trans. Comput. Biol. Bioinform.
Ning Ai, Haoliang Yuan, Zhonghua Lu, Yong Liang, Qi Hong Lai, Loi Lei Lai, Hongmin Cai, Dong Ouyang
2025 — conf
ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation.
MICCAI (10)
Runlin Huang, Hongmin Cai, Weipeng Zhuo, Shangyan Cai, Haowei Lin, Wentao Fan, Weifeng Su
2025 J jnl
Anchor-Based Multiview Subspace Clustering With Anchor-wise and Class-wise Alignments.
IEEE Trans. Neural Networks Learn. Syst.
Ye Liu, Hongshan Pu, Junjun Pan, Michael K. Ng, Hongmin Cai
2025 J jnl
AugGPT: Leveraging ChatGPT for Text Data Augmentation.
IEEE Trans. Big Data
Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Yihan Cao, Zihao Wu, Lin Zhao, Shaochen Xu, Fang Zeng, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Lichao Sun, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li
2025 J jnl
Batch Specular Manifold Sampling for caustics rendering.
Vis. Comput.
Pengpei Hong, Chuhua Xian, Hongmin Cai, Jiazhou Chen, Guiqing Li
2025 J jnl
Clip-Driven Universal Model for Multi-Material Decomposition in Dual-Energy CT.
IEEE Trans. Computational Imaging
Xianghong Wang, Jiajun Xiang, Aihua Mao, Jiayi Xie, Peng Jin, Mingchao Ding, Yixuan Yuan, Yanye Lu, Lequan Yu, Hongmin Cai, Baiying Lei, Tianye Niu
2025 — conf
Consensus-Guided Anchor Graph Alignment for Multi-View Clustering.
BIBM
Haiyan Wang, Xubin Zhang, Jiazhou Chen, Hongmin Cai
2025 J jnl
Discriminating Tensor Spectral Clustering for High-Dimension-Low-Sample-Size Data.
IEEE Trans. Neural Networks Learn. Syst.
Yu Hu, Fei Qi, Yiu-ming Cheung, Hongmin Cai
2025 — conf
Dual High-Order Random Walk Enhanced Adaptive Binary Multi-View Clustering.
BIBM
Haiyan Wang, Biao Xue, Jiazhou Chen, Hongmin Cai
2025 J jnl
Efficient Multi-View Clustering via Essential Tensorized Bipartite Graph Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Wanrong Gu, Junlong Guo, Haiyan Wang, Guangyu Zhang, Bin Zhang, Jiazhou Chen, Hongmin Cai
2025 J jnl
Efficient quaternion CUR method for low-rank approximation to quaternion matrix.
Numer. Algorithms
Pengling Wu, Kit Ian Kou, Hongmin Cai, Zhaoyuan Yu
2025 J jnl
Evolvable Graph Diffusion Optimal Transport with Pattern-Specific Alignment for Brain Connectome Modeling.
CoRR
Xiaoqi Sheng, Jiawen Liu, Jiaming Liang, Yiheng Zhang, Hongmin Cai
2025 J jnl
FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images.
CoRR
Jinchen Yu, Yongwei Nie, Fei Qi, Wenxiong Liao, Hongmin Cai
2025 — conf
GE2Hist: Generating Histology Images from Single-Cell Gene Expression via Cross-Modal Generative Network.
MICCAI (11)
Hongmin Cai, Boan Ji, Shangyan Cai, Yi Liao, Jiazhou Chen, Weitian Huang
2025 — conf
HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation.
MICCAI (11)
Jiaming Liang, Lihuan Dai, Xiaoqi Sheng, Xiangguang Chen, Chun Yao, Guihua Tao, Qibin Leng, Hongmin Cai, Xi Zhong
2025 J jnl
HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation.
CoRR
Jiaming Liang, Lihuan Dai, Xiaoqi Sheng, Xiangguang Chen, Chun Yao, Guihua Tao, Qibin Leng, Hongmin Cai, Xi Zhong
2025 J jnl
Harmonic Wavelet Neural Network for Discovering Neuropathological Propagation Patterns in Alzheimer's Disease.
IEEE J. Biomed. Health Informatics
Hongmin Cai, Ranran Deng, Defu Yang, Fa Zhang, Guorong Wu, Jiazhou Chen
2025 — conf
Improving Fairness in Skin Cancer Diagnosis Via Feature Pattern Separating and Diverse Objective Optimization.
BIBM
Chen Chen, Weipeng Zhuo, Zhewei Su, Wentao Fan, Hongmin Cai, Weifeng Su
2025 J jnl
Learning Uniform Latent Representation via Alternating Adversarial Network for Multi-View Clustering.
IEEE Trans. Emerg. Top. Comput. Intell.
Yue Zhang, Weitian Huang, Xiaoxue Zhang, Sirui Yang, Fa Zhang, Xin Gao, Hongmin Cai
2025 — conf
MM-UNET: Morph Mamba U-Shaped Convolutional Networks for Retinal Vessel Segmentation.
BIBM
Jiawen Liu, Yuanbo Zeng, Jiaming Liang, Yizhen Yang, Yiheng Zhang, Enhui Cai, Xiaoqi Sheng, Hongmin Cai
2025 J jnl
MM-UNet: Morph Mamba U-shaped Convolutional Networks for Retinal Vessel Segmentation.
CoRR
Jiawen Liu, Yuanbo Zeng, Jiaming Liang, Yizhen Yang, Yiheng Zhang, Enhui Cai, Xiaoqi Sheng, Hongmin Cai
2025 J jnl
Modality-Aware Discriminative Fusion Network for Integrated Analysis of Brain Imaging Genomics.
IEEE Trans. Neural Networks Learn. Syst.
Xiaoqi Sheng, Hongmin Cai, Yongwei Nie, Shengfeng He, Yiu-ming Cheung, Jiazhou Chen
2025 J jnl
Occlusion-Preserved Surveillance Video Synopsis with Flexible Object Graph.
Int. J. Comput. Vis.
Yongwei Nie, Wei Ge, Siming Zeng, Qing Zhang, Guiqing Li, Ping Li, Hongmin Cai
2025 — conf
PathoPrompt: Cross-Granular Semantic Alignment for Medical Pathology Vision-Language Models.
MICCAI (7)
Runlin Huang, Haohui Liang, Hongmin Cai, Weipeng Zhuo, Wentao Fan, Weifeng Su
2025 J jnl
QSTGNN: Quaternion Spatio-Temporal Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Ye Liu, Chaoxiong Lin, Yuchen Mou, Huaiguang Jiang, Hongmin Cai
2025 J jnl
Single-Image SVBRDF Estimation Using Auxiliary Renderings as Intermediate Targets.
IEEE Trans. Vis. Comput. Graph.
Yongwei Nie, Jiaqi Yu, Chengjiang Long, Qing Zhang, Guiqing Li, Hongmin Cai
2025 J jnl
StyleGAN-$\infty$∞: Extending StyleGAN to Arbitrary-Ratio Translation With StyleBook.
IEEE Trans. Vis. Comput. Graph.
Yihua Dai, Tianyi Xiang, Bailin Deng, Yong Du, Hongmin Cai, Jing Qin, Shengfeng He
2025 J jnl
Tensorlized Multi-Kernel Clustering via Consensus Tensor Decomposition.
IEEE Trans. Emerg. Top. Comput. Intell.
Fei Qi, Junyu Li, Yue Zhang, Weitian Huang, Bin Hu, Hongmin Cai
2025 — conf
Training-Free Language-Guided Video Summarization via Multi-Grained Saliency Scoring.
CVM (3)
Wei Ge, Yongwei Nie, Fei Ma, Keke Tang, Fei Richard Yu, Hongmin Cai, Ping Li
2025 J jnl
Uniform Tensor Clustering by Jointly Exploring Sample Affinities of Various Orders.
IEEE Trans. Neural Networks Learn. Syst.
Hongmin Cai, Fei Qi, Junyu Li, Yu Hu, Bin Hu, Yue Zhang, Yiu-ming Cheung
2025 J jnl
Unsupervised Dual Deep Hashing With Semantic-Index and Content-Code for Cross-Modal Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell.
Bin Zhang, Yue Zhang, Junyu Li, Jiazhou Chen, Tatsuya Akutsu, Yiu-ming Cheung, Hongmin Cai
2024 J jnl
3D Snapshot: Invertible Embedding of 3D Neural Representations in a Single Image.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuqin Lu, Bailin Deng, Zhixuan Zhong, Tianle Zhang, Yuhui Quan, Hongmin Cai, Shengfeng He
2024 — conf
A Hierarchical Hypergraph Attention Network for Survival Analysis from Pathological Images.
ISBI
Hongmin Cai, Weiting Yi, Weitian Huang, Zhikang Wang, Yue Zhang, Jiangning Song
2024 J jnl
AGML: Adaptive Graph-Based Multi-Label Learning for Prediction of RBP and as Event Associations During EMT.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yushan Qiu, Wensheng Chen, Wai-Ki Ching, Hongmin Cai, Hao Jiang, Quan Zou
2024 J jnl
Accelerate Neural Subspace-Based Reduced-Order Solver of Deformable Simulation by Lipschitz Optimization.
CoRR
Aoran Lyu, Shixian Zhao, Chuhua Xian, Zhihao Cen, Hongmin Cai, Guoxin Fang
2024 J jnl
Accelerate Neural Subspace-Based Reduced-Order Solver of Deformable Simulation by Lipschitz Optimization.
ACM Trans. Graph.
Aoran Lyu, Shixian Zhao, Chuhua Xian, Zhihao Cen, Hongmin Cai, Guoxin Fang
2024 J jnl
Accurate multi-view clustering to seek the cross-viewed yet uniform sample assignment via tensor feature matching.
Inf. Sci.
Yue Zhang, Wuxiu Quan, Tatsuya Akutsu, Li Liu, Hongmin Cai, Bin Zhang
2024 J jnl
Brain Network Classification for Accurate Detection of Alzheimer's Disease via Manifold Harmonic Discriminant Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Hongmin Cai, Xiaoqi Sheng, Guorong Wu, Bin Hu, Yiu-ming Cheung, Jiazhou Chen
2024 J jnl
Collaborative Embedding Learning via Tensor Integration for Multi-View Clustering.
IEEE Trans. Emerg. Top. Comput. Intell.
Yue Zhang, Xin Sun, Hongmin Cai, Haiyan Wang, Jiazhou Chen, Endai Guo, Fei Qi, Junyu Li
2024 J jnl
Corrigendum to "DeepGA for automatically estimating fetal gestational age through ultrasound imaging" [Artif. Intell. Med. 135 (2023) 102453].
Artif. Intell. Medicine
Tingting Dan, Xijie Chen, Miao He, Hongmei Guo, Xiaoqin He, Jiazhou Chen, Jianbo Xian, Yu Hu, Bin Zhang, Nan Wang, Hongning Xie, Hongmin Cai
2024 J jnl
Decomposing Neuroanatomical Heterogeneity of Autism Spectrum Disorder Across Different Developmental Stages Using Morphological Multiplex Network Model.
IEEE Trans. Comput. Soc. Syst.
Xiang Fu, Ying Wang, Jialong Li, Hongmin Cai, Xinyan Zhang, Zhijun Yao, Minqiang Yang, Weihao Zheng
2024 J jnl
Deep Tensor Spectral Clustering Network via Ensemble of Multiple Affinity Tensors.
IEEE Trans. Pattern Anal. Mach. Intell.
Hongmin Cai, Yu Hu, Fei Qi, Bin Hu, Yiu-ming Cheung
2024 J jnl
Dual-stream multi-dependency graph neural network enables precise cancer survival analysis.
Medical Image Anal.
Zhikang Wang, Jiani Ma, Qian Gao, Chris Bain, Seiya Imoto, Pietro Liò, Hongmin Cai, Hao Chen, Jiangning Song
2024 J jnl
Efficient quaternion CUR method for low-rank approximation to quaternion matrix.
CoRR
Peng-Ling Wu, Kit Ian Kou, Hongmin Cai, Zhaoyuan Yu
2024 — conf
Face Expression Recognition via Product-Cross Dual Attention and Neutral-Aware Anchor Loss.
CVM (2)
Yongwei Nie, Rong Pan, Qing Zhang, Xuemiao Xu, Guiqing Li, Hongmin Cai
2024 — conf
FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images.
BIBM
Jinchen Yu, Yongwei Nie, Fei Qi, Wenxiong Liao, Hongmin Cai
2024 J jnl
Improving Cancer Survival Prediction via Graph Convolutional Neural Network Learning on Protein-Protein Interaction Networks.
IEEE J. Biomed. Health Informatics
Hongmin Cai, Yi Liao, Lei Zhu, Zhikang Wang, Jiangning Song
2024 — conf
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection.
ECCV (30)
Yongwei Nie, Hao Huang, Chengjiang Long, Qing Zhang, Pradipta Maji, Hongmin Cai
2024 J jnl
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection.
CoRR
Yongwei Nie, Hao Huang, Chengjiang Long, Qing Zhang, Pradipta Maji, Hongmin Cai
2024 — conf
Joint Segmentation of Primary Nasopharyngeal Carcinoma Tumors and Lymph Nodes via Global Attention.
BIBM
Guihua Tao, Ziqin Ling, Haojiang Li, Jiangning Song, Hongmin Cai
2024 J jnl
Make static person walk again via separating pose action from shape.
Graph. Model.
Yongwei Nie, Meihua Zhao, Qing Zhang, Ping Li, Jian Zhu, Hongmin Cai
2024 J jnl
Mask-guided BERT for few-shot text classification.
Neurocomputing
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
2024 J jnl
Microfacet rendering with diffraction compensation.
Comput. Animat. Virtual Worlds
Xudong Yang, Aoran Lyu, Chuhua Xian, Hongmin Cai
2024 — conf
Module-level Gene-drug Interaction Identification via Hierarchical Optimal Transport.
BIBM
Ye Liu, Xiaojie Wang, Hongshan Pu, Jiazhou Chen, Hongmin Cai
2024 — conf
Multi-RoI Human Mesh Recovery with Camera Consistency and Contrastive Losses.
ECCV (47)
Yongwei Nie, Changzhen Liu, Chengjiang Long, Qing Zhang, Guiqing Li, Hongmin Cai
2024 J jnl
Multiple-Crop Human Mesh Recovery with Contrastive Learning and Camera Consistency in A Single Image.
CoRR
Yongwei Nie, Changzhen Liu, Chengjiang Long, Qing Zhang, Guiqing Li, Hongmin Cai
2024 J jnl
Multiview Tensor Spectral Clustering via Co-Regularization.
IEEE Trans. Pattern Anal. Mach. Intell.
Hongmin Cai, Yu Wang, Fei Qi, Zhuoyao Wang, Yiu-ming Cheung
2024 J jnl
NeoaPred: a deep-learning framework for predicting immunogenic neoantigen based on surface and structural features of peptide-human leukocyte antigen complexes.
Bioinform.
Dawei Jiang, Binbin Xi, Wenchong Tan, Zixi Chen, Jinfen Wei, Meiling Hu, Xiaoyun Lu, Dong Chen, Hongmin Cai, Hongli Du
2024 J jnl
Quaternion Tensor Left Ring Decomposition and Application for Color Image Inpainting.
J. Sci. Comput.
Jifei Miao, Kit Ian Kou, Hongmin Cai, Lizhi Liu
2024 J jnl
Realize Generative Yet Complete Latent Representation for Incomplete Multi-View Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Hongmin Cai, Weitian Huang, Sirui Yang, Siqi Ding, Yue Zhang, Bin Hu, Fa Zhang, Yiu-ming Cheung
2024 J jnl
Stacked Network to Realize Spectral Clustering With Adaptive Graph Learning.
IEEE Trans. Knowl. Data Eng.
Junyu Li, Fei Qi, Haoliang Yuan, Cheng Zhong, Hongmin Cai
2024 — conf
Survival Analysis of Histopathological Image Based on a Pretrained Hypergraph Model of Spatial Transcriptomics Data.
MICCAI (3)
Shangyan Cai, Weitian Huang, Weiting Yi, Bin Zhang, Yi Liao, Qiu Wang, Hongmin Cai, Luonan Chen, Weifeng Su
2024 J jnl
The Radiation Oncology NLP Database.
CoRR
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
2024 J jnl
Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization.
IEEE Trans. Emerg. Top. Comput. Intell.
Yue Zhang, Sirui Yang, Weitian Huang, Chang-Dong Wang, Hongmin Cai
2024 J jnl
Unsupervised Dual Hashing Coding (UDC) on Semantic Tagging and Sample Content for Cross-Modal Retrieval.
IEEE Trans. Multim.
Hongmin Cai, Bin Zhang, Junyu Li, Bin Hu, Jiazhou Chen
2024 J jnl
Unsupervised Feature Selection via Collaborative Embedding Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Junyu Li, Fei Qi, Xin Sun, Bin Zhang, Xiangmin Xu, Hongmin Cai
2024 J jnl
Weakly-supervised instance co-segmentation via tensor-based salient co-peak search.
Frontiers Comput. Sci.
Wuxiu Quan, Yu Hu, Tingting Dan, Junyu Li, Yue Zhang, Hongmin Cai
2024 J jnl
Zero-shot relation triplet extraction as Next-Sentence Prediction.
Knowl. Based Syst.
Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Ninghao Liu, Tianming Liu, Quanzheng Li, Xiang Li, Hongmin Cai
2023 J jnl
A electricity theft detection method through contrastive learning in smart grid.
EURASIP J. Wirel. Commun. Netw.
Zijian Liu, Weilong Ding, Tao Chen, Maoxiang Sun, Hongmin Cai, Chen Liu
2023 J jnl
A survey of drug-target interaction and affinity prediction methods via graph neural networks.
Comput. Biol. Medicine
Yue Zhang, Yuqing Hu, Na Han, Aqing Yang, Xiaoyong Liu, Hongmin Cai
2023 J jnl
AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images.
Patterns
Ruicun Liu, Tuoyu Liu, Tingting Dan, Shan Yang, Yanbing Li, Boyu Luo, Yingtan Zhuang, Xinyue Fan, Xianchao Zhang, Hongmin Cai, Yue Teng
2023 J jnl
ChatAug: Leveraging ChatGPT for Text Data Augmentation.
CoRR
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
2023 — conf
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
BIBM
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
2023 J jnl
Deep Manifold Harmonic Network With Dual Attention for Brain Disorder Classification.
IEEE J. Biomed. Health Informatics
Xiaoqi Sheng, Jiazhou Chen, Yong Liu, Bin Hu, Hongmin Cai
2023 J jnl
DeepGA for automatically estimating fetal gestational age through ultrasound imaging.
Artif. Intell. Medicine
Tingting Dan, Xijie Chen, Miao He, Hongmei Guo, Xiaoqin He, Jiazhou Chen, Jianbo Xian, Yu Hu, Bin Zhang, Nan Wang, Hongning Xie, Hongmin Cai
2023 J jnl
Differentiate ChatGPT-generated and Human-written Medical Texts.
CoRR
Wenxiong Liao, Zhengliang Liu, Haixing Dai, Shaochen Xu, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Dajiang Zhu, Hongmin Cai, Tianming Liu, Xiang Li
2023 — conf
Discovering Brain Network Dysfunction in Alzheimer's Disease Using Brain Hypergraph Neural Network.
MICCAI (5)
Hongmin Cai, Zhixuan Zhou, Defu Yang, Guorong Wu, Jiazhou Chen
2023 J jnl
Estimating Outlier-Immunized Common Harmonic Waves for Brain Network Analyses on the Stiefel Manifold.
IEEE J. Biomed. Health Informatics
Hongmin Cai, Huan Liu, Defu Yang, Guorong Wu, Bin Hu, Jiazhou Chen
2023 J jnl
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data.
CoRR
Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li
2023 A conf
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation.
ICME
Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He
2023 A* conf
Generalized Information-theoretic Multi-view Clustering.
NeurIPS
Weitian Huang, Sirui Yang, Hongmin Cai
2023 A* conf
Graph based Spatial-temporal Fusion for Multi-modal Person Re-identification.
ACM Multimedia
Yaobin Zhang, Jianming Lv, Chen Liu, Hongmin Cai
2023 J jnl
Identifying miRNA-Gene Common and Specific Regulatory Modules for Cancer Subtyping by a High-Order Graph Matching Model.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jiazhou Chen, Guoqiang Han, Aodan Xu, Tatsuya Akutsu, Hongmin Cai
2023 — conf
Incremental Recommendation Algorithm Based on the Influence Propagation Model.
ICANN (7)
Siqi Wu, Jianming Lv, Chen Liu, Hongmin Cai
2023 A* conf
Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling.
IJCAI
Aihua Mao, Yaqi Duan, Yu-Hui Wen, Zihui Du, Hongmin Cai, Yong-Jin Liu
2023 J jnl
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer's disease.
Medical Image Anal.
Huan Liu, Hongmin Cai, Defu Yang, Wentao Zhu, Guorong Wu, Jiazhou Chen
2023 J jnl
Mask-guided BERT for Few Shot Text Classification.
CoRR
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
2023 — conf
Multi-Kernel Tensor Fusion on Grassmann Manifold for Genomic Data Clustering.
BIBM
Fei Qi, Junyu Li, Yi Liao, Wenxiong Liao, Jiazhou Chen, Hongmin Cai
2023 — conf
Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript.
BI
Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li
2023 J jnl
Multiview Deep Graph Infomax to Achieve Unsupervised Graph Embedding.
IEEE Trans. Cybern.
Zhichao Zhou, Yu Hu, Yue Zhang, Jiazhou Chen, Hongmin Cai
2023 — conf
OSR-NET: Ordinary Differential Equation-Based Brain State Recognition Neural Network.
ISBI
Hongmin Cai, Tingting Dan, Zhuobin Huang, Guorong Wu
2023 J jnl
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold.
IEEE Trans. Knowl. Data Eng.
Yu Hu, Endai Guo, Zhi Xie, Xinwang Liu, Hongmin Cai
2023 J jnl
Similarity Fusion via Exploiting High Order Proximity for Cancer Subtyping.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jiazhou Chen, Wentao Rong, Guihua Tao, Hongmin Cai
2023 J jnl
Two-Dimensional Unsupervised Feature Selection via Sparse Feature Filter.
IEEE Trans. Cybern.
Junyu Li, Jiazhou Chen, Fei Qi, Tingting Dan, Wanlin Weng, Bin Zhang, Haoliang Yuan, Hongmin Cai, Cheng Zhong
2023 J jnl
Uniform tensor clustering by jointly exploring sample affinities of various orders.
CoRR
Hongmin Cai, Fei Qi, Junyu Li, Yu Hu, Yue Zhang, Yiu-ming Cheung, Bin Hu
2023 — conf
VSGAN: Visual Saliency guided Generative Adversarial Network for data augmentation.
IMX Workshops
Zhang Jun, Chuhua Xian, Alexandre Bruckert, Patrick Le Callet, Guiqing Li, Hongmin Cai
2023 J jnl
Verifiable Privacy-Preserving Queries on Multi-Source Dynamic DNA Datasets.
IEEE Trans. Cloud Comput.
Dandan Lu, Ming Li, Yi Liao, Guihua Tao, Hongmin Cai
2022 — conf
A Regional Multiple Instance Learning Network for Whole Slide Image Segmentation.
BIBM
Hongmin Cai, Weiting Yi, Yucheng Li, Wenxiong Liao, Jiangning Song
2022 — conf
Accurate Multi-view Clustering by Exploiting Within-view High-order Affinities through Tensor Self-representation.
BIBM
Haiyan Wang, Jiazhou Chen, Bin Zhang, Hongmin Cai
2022 J jnl
Characterizing the propagation pathway of neuropathological events of Alzheimer's disease using harmonic wavelet analysis.
Medical Image Anal.
Jiazhou Chen, Hongmin Cai, Defu Yang, Martin Styner, Guorong Wu, Alzheimer's Disease Neuroimaging Initiative
2022 J jnl
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
CoRR
Hongmin Cai, Wenxiong Liao, Zhengliang Liu, Xiaoke Huang, Yiyang Zhang, Siqi Ding, Sheng Li, Quanzheng Li, Tianming Liu, Xiang Li
2022 J jnl
DF-Net: Deep fusion network for multi-source vessel segmentation.
Inf. Fusion
Pengshuai Yin, Hongmin Cai, Qingyao Wu
2022 J jnl
Deep Multiview Clustering via Iteratively Self-Supervised Universal and Specific Space Learning.
IEEE Trans. Cybern.
Yue Zhang, Qinjian Huang, Bin Zhang, Shengfeng He, Tingting Dan, Hong Peng, Hongmin Cai
2022 J jnl
Fast and Accurate Clustering of Multiple Modality Data via Feature Matching.
IEEE Trans. Cybern.
Bin Zhang, Hongmin Cai, Jiazhou Chen, Yu Hu, Jie Huang, Wentao Rong, Wanlin Weng, Qinjian Huang, Haiyan Wang, Hong Peng
2022 J jnl
Identify Multiple Gene-Drug Common Modules via Constrained Graph Matching.
IEEE J. Biomed. Health Informatics
Jiazhou Chen, Jie Huang, Yi Liao, Lei Zhu, Hongmin Cai
2022 J jnl
Integrating Tensor Similarity to Enhance Clustering Performance.
IEEE Trans. Pattern Anal. Mach. Intell.
Hong Peng, Yu Hu, Jiazhou Chen, Haiyan Wang, Yang Li, Hongmin Cai
2022 J jnl
Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network.
IEEE Trans. Medical Imaging
Tingting Dan, Zhuobin Huang, Hongmin Cai, Paul J. Laurienti, Guorong Wu
2022 J jnl
Learning Transferable Perturbations for Image Captioning.
ACM Trans. Multim. Comput. Commun. Appl.
Hanjie Wu, Yongtuo Liu, Hongmin Cai, Shengfeng He
2022 — conf
Manifold Learning in Detecting the Transitions of Dynamic Functional Connectivities Boosts Brain State-Specific Recognition.
ISBI
Tingting Dan, Zhuobin Huang, Hongmin Cai, Guorong Wu
2022 A conf
Multi-View Clustering Through Hypergraphs Integration on Stiefel Manifold.
ICME
Yu Hu, Hongmin Cai
2022 J jnl
Multi-dimensional clustering through fusion of high-order similarities.
Pattern Recognit.
Hong Peng, Haiyan Wang, Yu Hu, Weiwei Zhou, Hongmin Cai
2022 B conf
NPCFORMER: Automatic Nasopharyngeal Carcinoma Segmentation Based on Boundary Attention and Global Position Context Attention.
ICIP
Ziqin Ling, Guihua Tao, Yang Li, Hongmin Cai
2022 J jnl
NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images.
IEEE Trans. Medical Imaging
Yang Li, Tingting Dan, Haojiang Li, Jiazhou Chen, Hong Peng, Lizhi Liu, Hongmin Cai
2022 — conf
Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition.
MICCAI (8)
Tingting Dan, Hongmin Cai, Zhuobin Huang, Paul J. Laurienti, Won Hwa Kim, Guorong Wu
2022 J jnl
Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold.
BMC Medical Informatics Decis. Mak.
Ali Alfatemi, Hong Peng, Wentao Rong, Bin Zhang, Hongmin Cai
2022 — conf
Reler: Relearning Controversial Regions to Accurately Segment Nasopharyngeal Carcinoma.
BIBM
Guihua Tao, Haojiang Li, Dandan Lu, Ziqin Ling, Lizhi Liu, Hongmin Cai
2022 J jnl
SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance.
Medical Image Anal.
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
2021 — conf
Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold.
MICCAI (7)
Zhuobin Huang, Hongmin Cai, Tingting Dan, Yi Lin, Paul J. Laurienti, Guorong Wu
2021 — conf
Detecting Brain State Changes via Manifold Mean Shifting.
BIBM
Zhuobin Huang, Tingting Dan, Yi Lin, Jiazhou Chen, Hongmin Cai, Guorong Wu
2021 — conf
Detection-and-Excitation Neural Network Achieves Accurate Nasopharyngeal Carcinoma Segmentation in Multi-modality MR Images.
BIBM
Guihua Tao, Haojiang Li, Lizhi Liu, Hongmin Cai
2021 — conf
Discovering Spreading Pathways of Neuropathological Events in Alzheimer's Disease Using Harmonic Wavelets.
IPMI
Jiazhou Chen, Defu Yang, Hongmin Cai, Martin Styner, Guorong Wu
2021 J jnl
Editorial: Inference of Biological Networks.
Frontiers Bioinform.
Tatsuya Akutsu, Hongmin Cai
2021 — conf
Effective and Adaptive Refined Multi-metric Similarity Graph Fusion for Multi-view Clustering.
PAKDD (2)
Wentao Rong, Enhong Zhuo, Guihua Tao, Hongmin Cai
2021 J jnl
Evaluation of gene-drug common module identification methods using pharmacogenomics data.
Briefings Bioinform.
Jie Huang, Jiazhou Chen, Bin Zhang, Lei Zhu, Hongmin Cai
2021 J jnl
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation.
CoRR
Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He
2021 J jnl
Fusion of multi-source retinal fundus images via automatic registration for clinical diagnosis.
Neurocomputing
Tingting Dan, Yu Hu, Chu Han, Zhihao Fan, Zhuobin Huang, Bin Zhang, Guihua Tao, Baoyi Liu, Honghua Yu, Hongmin Cai
2021 J jnl
IOAT: an interactive tool for statistical analysis of omics data and clinical data.
BMC Bioinform.
Lanlan Wu, Fei Liu, Hongmin Cai
2021 — conf
Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training.
ICANN (2)
Guihua Tao, Wentao Rong, Wanlin Weng, Tingting Dan, Bin Zhang, Hongmin Cai
2021 J jnl
Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses.
IEEE Trans. Medical Imaging
Jiazhou Chen, Guoqiang Han, Hongmin Cai, Defu Yang, Paul J. Laurienti, Martin Styner, Guorong Wu
2021 J jnl
Learning a consensus affinity matrix for multi-view clustering via subspaces merging on Grassmann manifold.
Inf. Sci.
Wentao Rong, Enhong Zhuo, Hong Peng, Jiazhou Chen, Haiyan Wang, Chu Han, Hongmin Cai
2021 J jnl
Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning.
Inf. Sci.
Haiyan Wang, Guoqiang Han, Junyu Li, Bin Zhang, Jiazhou Chen, Yu Hu, Chu Han, Hongmin Cai
2021 J jnl
Methods of privacy-preserving genomic sequencing data alignments.
Briefings Bioinform.
Dandan Lu, Yue Zhang, Ling Zhang, Haiyan Wang, Wanlin Weng, Li Li, Hongmin Cai
2021 — conf
Multi-Omics Data Clustering via the Guidance of Highly Correlated Features.
BIBM
Bin Zhang, Hongmin Cai
2021 A conf
Multi-View Clustering Through Self-Weighted High-Order Similarity Fusion.
ICME
Hong Peng, Hongmin Cai
2021 J jnl
Multi-View Learning a Decomposable Affinity Matrix via Tensor Self-Representation on Grassmann Manifold.
IEEE Trans. Image Process.
Haiyan Wang, Guoqiang Han, Bin Zhang, Guihua Tao, Hongmin Cai
2021 A conf
Multi-View Tensor Clustering Through Exploiting Both Within-View and Across-View High-Order Correlations.
ICME
Haiyan Wang, Guoqiang Han, Yu Hu, Hong Peng, Jiazhou Chen, Bin Zhang, Hongmin Cai
2021 J jnl
SGUNet: Style-guided UNet for adversely conditioned fundus image super-resolution.
Neurocomputing
Zhihao Fan, Tingting Dan, Baoyi Liu, Xiaoqi Sheng, Honghua Yu, Hongmin Cai
2021 A* conf
Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China.
AAAI
Tingting Dan, Yang Li, Ziwei Zhu, Xijie Chen, Wuxiu Quan, Yu Hu, Guihua Tao, Lei Zhu, Jijin Zhu, Hongmin Cai, Hanchun Wen
2021 A* conf
Spatially-Invariant Style-Codes Controlled Makeup Transfer.
CVPR
Han Deng, Chu Han, Hongmin Cai, Guoqiang Han, Shengfeng He
2021 J jnl
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.
Zhuohui Wei, Yue Zhang, Wanlin Weng, Jiazhou Chen, Hongmin Cai
2020 J jnl
A Collaborative Dictionary Learning Model for Nasopharyngeal Carcinoma Segmentation on Multimodalities MR Sequences.
Comput. Math. Methods Medicine
Haiyan Wang, Guoqiang Han, Haojiang Li, Guihua Tao, Enhong Zhuo, Lizhi Liu, Hongmin Cai, Yangming Ou
2020 — conf
Breast Cancer Subtype by Imbalanced Omics Data through A Deep Learning Fusion Model.
ICBBB
Jingwen Zeng, Hongmin Cai, Tatsuya Akutsu
2020 — conf
Coarse-to-fine Nasopharyngeal Carcinoma Segmentation in MRI via Multi-stage Rendering.
BIBM
Yang Li, Hong Peng, Tingting Dan, Yu Hu, Guihua Tao, Hongmin Cai
2020 J jnl
Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks.
Int. J. Comput. Assist. Radiol. Surg.
Baihong Xie, Ting Lei, Nan Wang, Hongmin Cai, Jianbo Xian, Miao He, Lihe Zhang, Hongning Xie
2020 J jnl
Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning.
Neurocomputing
Qinjian Huang, Yue Zhang, Hong Peng, Tingting Dan, Wanlin Weng, Hongmin Cai
2020 J jnl
Enhancing multi-view clustering through common subspace integration by considering both global similarities and local structures.
Neurocomputing
Wanlin Weng, Weiwei Zhou, Jiazhou Chen, Hong Peng, Hongmin Cai
2020 — conf
Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold.
MICCAI (7)
Jiazhou Chen, Guoqiang Han, Hongmin Cai, Junbo Ma, Minjeong Kim, Paul J. Laurienti, Guorong Wu
2020 J jnl
Exsavi: Excavating both sample-wise and view-wise relationships to boost multi-view subspace clustering.
Neurocomputing
Haiyan Wang, Guoqiang Han, Bin Zhang, Guihua Tao, Hongmin Cai
2020 J jnl
Identification of Multidimensional Regulatory Modules Through Multi-Graph Matching With Network Constraints.
IEEE Trans. Biomed. Eng.
Jiazhou Chen, Guoqiang Han, Aodan Xu, Hongmin Cai
2020 J jnl
Identifying "Many-to-Many" Relationships between Gene-Expression Data and Drug-Response Data via Sparse Binary Matching.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jiulun Cai, Hongmin Cai, Jiazhou Chen, Xi Yang
2020 J jnl
Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses.
CoRR
Jiazhou Chen, Guoqiang Han, Hongmin Cai, Defu Yang, Paul J. Laurienti, Martin Styner, Guorong Wu
2020 — conf
Machine Learning to Predict ICU Admission, ICU Mortality and Survivors' Length of Stay among COVID-19 Patients: Toward Optimal Allocation of ICU Resources.
BIBM
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
2020 — conf
Reconstruction of 3D Retina from Multi-viewed Stereo Fundus Images via Dynamic Registration.
BIBM
Tingting Dan, Zhihao Fan, Yu Hu, Bin Zhang, Guihua Tao, Hongmin Cai
2020 — conf
Single Fundus Image Super-Resolution Via Cascaded Channel-Wise Attention Network.
EMBC
Zhihao Fan, Tingting Dan, Honghua Yu, Baoyi Liu, Hongmin Cai
2020 — conf
Tensor-based Low-rank and Graph Regularized Representation Learning for Multi-view Clustering.
BIBM
Haiyan Wang, Guoqiang Han, Bin Zhang, Yu Hu, Hong Peng, Chu Han, Hongmin Cai
2019 — conf
Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention.
MICCAI (5)
Jia-bin Huang, Enhong Zhuo, Haojiang Li, Lizhi Liu, Hongmin Cai, Yangming Ou
2019 J jnl
Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms.
Comput. Math. Methods Medicine
Hongmin Cai, Qinjian Huang, Wentao Rong, Yan Song, Jiao Li, Jinhua Wang, Jiazhou Chen, Li Li
2019 J jnl
Finding Correlated Patterns via High-Order Matching for Multiple Sourced Biological Data.
IEEE Trans. Biomed. Eng.
Xi Yang, Guoqiang Han, Jiazhou Chen, Hongmin Cai
2019 J jnl
HOGMMNC: a higher order graph matching with multiple network constraints model for gene-drug regulatory modules identification.
Bioinform.
Jiazhou Chen, Hong Peng, Guoqiang Han, Hongmin Cai, Jiulun Cai
2019 J jnl
Integrating Tensor Similarity to Enhance Clustering Performance.
CoRR
Hong Peng, Jiazhou Chen, Haiyan Wang, Yu Hu, Hongmin Cai
2019 J jnl
Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality.
Neural Networks
Zhengming Li, Zheng Zhang, Jie Qin, Sheng Li, Hongmin Cai
2019 J jnl
Recovering Hidden Diagonal Structures via Non-Negative Matrix Factorization with Multiple Constraints.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xi Yang, Guoqiang Han, Hongmin Cai, Yan Song
2018 J jnl
WaveDec: A Wavelet Approach to Identify Both Shared and Individual Patterns of Copy-Number Variations.
IEEE Trans. Biomed. Eng.
Hongmin Cai, Peihua Chen, Jiazhou Chen, Jiulun Cai, Yan Song, Guoqiang Han
2017 — conf
A copy-number variation detection pipeline for single cell sequencing data on BGI online.
BIBM
Jingying Huang, Yuwen Zhou, Aodan Xu, Enhong Zhuo, Xin Jin, Hongmin Cai
2016 J jnl
Copy number variants calling for single cell sequencing data by multi-constrained optimization.
Comput. Biol. Chem.
Bo Xu, Hongmin Cai, Changsheng Zhang, Xi Yang, Guoqiang Han
2016 — conf
MDAGenera: An Efficient and Accurate Simulator for Multiple Displacement Amplification.
ICIC (1)
Weiheng Huang, Hongmin Cai, Wei Shao, Bo Xu, Fuqiang Li
2016 — conf
Multi-norm constrained optimization methods for calling copy number variants in single cell sequencing data.
BIBM
Changsheng Zhang, Hongmin Cai, Jingying Huang, Bo Xu
2016 J jnl
nbCNV: a multi-constrained optimization model for discovering copy number variants in single-cell sequencing data.
BMC Bioinform.
Changsheng Zhang, Hongmin Cai, Jingying Huang, Yan Song
2015 — conf
Discrimination of recurrent CNVs from individual ones from multisample aCGH by jointly constrained minimization.
BCB
Peihua Chen, Weiheng Huang, Wei Shao, Hongmin Cai
2015 — conf
MALBACsim: A Multiple Annealing and Looping Based Amplification Cycles simulator.
BIBM
Tengpeng Li, Changsheng Zhang, Bo Xu, Hongmin Cai, Fuqiang Li
2015 J jnl
Optimal combination of feature selection and classification via local hyperplane based learning strategy.
BMC Bioinform.
Xiaoping Cheng, Hongmin Cai, Yue Zhang, Bo Xu, Weifeng Su
2014 J jnl
A New Iterative Triclass Thresholding Technique in Image Segmentation.
IEEE Trans. Image Process.
Hongmin Cai, Zhong Yang, Xinhua Cao, Weiming Xia, Xiaoyin Xu
2014 J jnl
A novel diffusion system for impulse noise removal based on a robust diffusion tensor.
Neurocomputing
Haiying Tian, Hongmin Cai, Jian-Huang Lai
2014 — conf
An Empirical Algorithm for Bias Correction Based on GC Estimation for Single Cell Sequencing.
PAKDD Workshops
Bo Xu, Tengpeng Li, Yi Luo, Ruotao Xu, Hongmin Cai
2014 J jnl
Feature weight estimation for gene selection: a local hyperlinear learning approach.
BMC Bioinform.
Hongmin Cai, Peiying Ruan, Michael Kwok-Po Ng, Tatsuya Akutsu
2013 J jnl
Understanding query interfaces by statistical parsing.
ACM Trans. Web
Weifeng Su, Hejun Wu, Yafei Li, Jing Zhao, Frederick H. Lochovsky, Hongmin Cai, Tianqiang Huang
2012 J jnl
A Novel Approach to Segment and Classify Regional Lymph Nodes on Computed Tomography Images.
Comput. Math. Methods Medicine
Hongmin Cai, Chunyan Cui, Haiying Tian, Min Zhang, Li Li
2012 — conf
Feature Weighting by RELIEF Based on Local Hyperplane Approximation.
PAKDD (2)
Hongmin Cai, Michael K. P. Ng
2012 — conf
Optimal Combination of Feature Weight Learning and Classification Based on Local Approximation.
ICDKE
Hongmin Cai, Michael Kwok-Po Ng
2011 B conf
Effective image noise removal based on difference eigenvalue.
ICIP
Haiying Tian, Hongmin Cai, Jian-Huang Lai, Xiaoyin Xu
2011 A* conf
Improvements over Adaptive Local Hyperplane to Achieve Better Classification.
ICDM
Hongmin Cai
2010 — conf
Design and implementation of a DIDS.
WCNIS
Hongmin Cai, Naiqi Wu
2008 J jnl
Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images.
Medical Image Anal.
Hongmin Cai, Xiaoyin Xu, Ju Lu, Jeff Lichtman, S. P. Yung, Stephen T. C. Wong
2007 — conf
A New Nonlinear Diffusion Method to Improve Image Quality.
ICIP (1)
Yue Zhang, Xiaoyin Xu, Hongmin Cai, S. P. Yung, Stephen T. C. Wong
2007 — conf
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images.
ISBI
Hongmin Cai, Ragini Verma, Yangming Ou, Seung-Koo Lee, Elias R. Melhem, Christos Davatzikos
2006 J jnl
Repulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacks.
NeuroImage
Hongmin Cai, Xiaoyin Xu, Ju Lu, Jeff W. Lichtman, S. P. Yung, Stephen T. C. Wong
2006 — conf
Shape-constrained repulsive snake method to segment and track neurons in 3D microscopy images.
ISBI
Hongmin Cai, Xiaoyin Xu, Ju Lu, Jeff Lichtman, S. P. Yung, Stephen T. C. Wong