Xiaofeng Zhu

Inf. Fusion, 2025

2024

FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2024

SV-Learner: Support-Vector Contrastive Learning for Robust Learning With Noisy Labels.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2024

GRLC: Graph Representation Learning With Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Reverse Graph Learning for Graph Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2024

A noise-resistant graph neural network by semi-supervised contrastive learning.

[BibT_eX]

[DOI]

Inf. Sci., February, 2024

Multigraph Fusion for Dynamic Graph Convolutional Network.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Interpretable medical deep framework by logits-constraint attention guiding graph-based multi-scale fusion for Alzheimer's disease analysis.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning.

[BibT_eX]

[DOI]

Medical Image Anal., 2024

Graph augmentation for node-level few-shot learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

A novel federated multi-view clustering method for unaligned and incomplete data fusion.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters.

[BibT_eX]

[DOI]

CoRR, 2024

On Efficient Variants of Segment Anything Model: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation.

[BibT_eX]

[DOI]

CoRR, 2024

Adaptive Multi-Modality Prompt Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Knowledge Distillation Based Dual-Branch Network for Whole Slide Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Simple Contrastive Multi-View Clustering with Data-Level Fusion.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multiplex Graph Representation Learning via Bi-level Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Exploring the Role of Node Diversity in Directed Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

GATrack: Group-Aware features for multiple object tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Self-Training Based Few-Shot Node Classification by Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multiplex Graph Representation Learning Via Dual Correlation Reduction.

[BibT_eX]

[DOI]

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

UNTIE: Clustering analysis with disentanglement in multi-view information fusion.

[BibT_eX]

[DOI]

Inf. Fusion, December, 2023

Self-paced principal component analysis.

[BibT_eX]

[DOI]

Pattern Recognit., October, 2023

Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis.

[BibT_eX]

[DOI]

Medical Image Anal., October, 2023

On the Imaginary Wings: Text-Assisted Complex-Valued Fusion Network for Fine-Grained Visual Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Dynamic graph convolutional networks by semi-supervised contrastive learning.

[BibT_eX]

[DOI]

Pattern Recognit., July, 2023

Contrastive structure and texture fusion for image inpainting.

[BibT_eX]

[DOI]

Neurocomputing, June, 2023

GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, February, 2023

FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

FedNI: Federated Graph Learning With Network Inpainting for Population-Based Disease Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2023

Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Self-paced resistance learning against overfitting on noisy labels.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

TFUN: Trilinear Fusion Network for Ternary Image-Text Retrieval.

[BibT_eX]

[DOI]

Inf. Fusion, 2023

Adaptive Multi-Modality Prompt Learning.

[BibT_eX]

[DOI]

CoRR, 2023

ACT: Adversarial Consistency Models.

[BibT_eX]

[DOI]

CoRR, 2023

Using Caterpillar to Nibble Small-Scale Images.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy.

[BibT_eX]

[DOI]

CoRR, 2023

Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration.

[BibT_eX]

[DOI]

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

Unsupervised Multiplex Graph learning with Complementary and Consistent Information.

[BibT_eX]

[DOI]

Liang Peng

Xin Wang

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

Multi-teacher Self-training for Semi-supervised Node Classification with Noisy Labels.

[BibT_eX]

[DOI]

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

Federated Deep Multi-View Clustering with Global Self-Supervision.

[BibT_eX]

[DOI]

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

Co-assistant Networks for Label Correction.

[BibT_eX]

[DOI]

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

Totally Dynamic Hypergraph Neural Networks.

[BibT_eX]

[DOI]

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

A Universal Unbiased Method for Classification from Aggregate Observations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Disentangled Multiplex Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Multiplex Graph Representation Learning via Common and Private Information Mining.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Dual Label-Guided Graph Refinement for Multi-View Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Robust self-tuning multi-view clustering.

[BibT_eX]

[DOI]

World Wide Web, 2022

Universal adversarial perturbations generative network.

[BibT_eX]

[DOI]

World Wide Web, 2022

View-Invariant Human Action Recognition Via View Transformation Network (VTN).

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Flow-Edge Guided Unsupervised Video Object Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Universal Weighting Metric Learning for Cross-Modal Retrieval.

[BibT_eX]

[DOI]

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

Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2022

Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysis.

[BibT_eX]

[DOI]

Inf. Fusion, 2022

GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

Simple Self-supervised Multiplex Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Complementary Graph Representation Learning for Functional Neuroimaging Identification.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Information Augmentation for Few-shot Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-view Unsupervised Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-level Feature Learning for Contrastive Multi-view Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Simple Unsupervised Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

HCMSL: Hybrid Cross-modal Similarity Learning for Cross-modal Retrieval.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2021

Half-Quadratic Minimization for Unsupervised Feature Selection on Incomplete Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Efficient Utilization of Missing Data in Cost-Sensitive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Probability Ordinal-Preserving Semantic Hashing for Large-Scale Image Retrieval.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Joint hub identification for brain networks by multivariate graph inference.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Brain functional connectivity analysis based on multi-graph fusion.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Adaptive reverse graph learning for robust subspace learning.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2021

Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks.

[BibT_eX]

[DOI]

Inf. Fusion, 2021

Heterogeneous data fusion for predicting mild cognitive impairment conversion.

[BibT_eX]

[DOI]

Inf. Fusion, 2021

Contrastive Multi-Modal Clustering.

[BibT_eX]

[DOI]

CoRR, 2021

Self-paced Resistance Learning against Overfitting on Noisy Labels.

[BibT_eX]

[DOI]

CoRR, 2021

Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view.

[BibT_eX]

[DOI]

CoRR, 2021

Privacy-preserving Multimedia Data Analysis.

[BibT_eX]

[DOI]

Kim-Han Thung

Minjeong Kim

Comput. J., 2021

Video Representation Learning with Graph Contrastive Augmentation.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Vision-guided Music Source Separation via a Fine-grained Cycle-Separation Network.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multi-scale Graph Fusion for Co-saliency Detection.

[BibT_eX]

[DOI]

Rongyao Hu

Zhenyun Deng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Spectral clustering via half-quadratic optimization.

[BibT_eX]

[DOI]

World Wide Web, 2020

Robust SVM with adaptive graph learning.

[BibT_eX]

[DOI]

World Wide Web, 2020

Self-weighted Multi-view Fuzzy Clustering.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

Sparse Graph Connectivity for Image Segmentation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

Unsupervised feature selection by self-paced learning regularization.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Spectral rotation for deep one-step clustering.

[BibT_eX]

[DOI]

Yonghua Zhu

Wei Zheng

Pattern Recognit., 2020

Deep understanding of big multimedia data.

[BibT_eX]

[DOI]

Chong-Yaw Wee

Minjeong Kim

Neural Comput. Appl., 2020

Privacy-preserving representation learning for big data.

[BibT_eX]

[DOI]

Shuo Shang

Minjeong Kim

Neurocomputing, 2020

Deep understanding of big multimedia data.

[BibT_eX]

[DOI]

Ruili Wang

Jian Weng

Neurocomputing, 2020

Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Adversarial Learning-Based Semantic Correlation Representation for Cross-Modal Retrieval.

[BibT_eX]

[DOI]

IEEE Multim., 2020

Graph-based variational auto-encoder for generalized zero-shot learning.

[BibT_eX]

[DOI]

Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

Multi-level expression guided attention network for referring expression comprehension.

[BibT_eX]

[DOI]

Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease Analysis.

[BibT_eX]

[DOI]

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

Multi-graph Fusion for Functional Neuroimaging Biomarker Detection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification.

[BibT_eX]

[DOI]

World Wide Web, 2019

Group sparse reduced rank regression for neuroimaging genetic study.

[BibT_eX]

[DOI]

World Wide Web, 2019

Low-rank hypergraph feature selection for multi-output regression.

[BibT_eX]

[DOI]

World Wide Web, 2019

Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Low-Rank Sparse Subspace for Spectral Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

One-Step Multi-View Spectral Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Strength and similarity guided group-level brain functional network construction for MCI diagnosis.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Connected graph decomposition for spectral clustering.

[BibT_eX]

[DOI]

Tao Tong

Tingting Du

Multim. Tools Appl., 2019

Initialization-similarity clustering algorithm.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2019

High dynamic range image forensics using cnn.

[BibT_eX]

[DOI]

Yongqing Huo

CoRR, 2019

Robust and Discriminative Brain Genome Association Study.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Joint Identification of Network Hub Nodes by Multivariate Graph Inference.

[BibT_eX]

[DOI]

Leo Charles Peek Zsembik

Martin Styner

Guorong Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Multimedia Tagging.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Editorial: Deep Mining Big Social Data.

[BibT_eX]

[DOI]

World Wide Web, 2018

Efficient kNN Classification With Different Numbers of Nearest Neighbors.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

Pattern discovery from multi-source data.

[BibT_eX]

[DOI]

Jie Shao

Jilian Zhang

Pattern Recognit. Lett., 2018

Quantization-based hashing: a general framework for scalable image and video retrieval.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis.

[BibT_eX]

[DOI]

Weihong Zhang

Yong Fan

Neuroinformatics, 2018

Dynamic graph learning for spectral feature selection.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2018

Global and local clustering with kNN and local PCA.

[BibT_eX]

[DOI]

Lin Wu

Tao Tong

Multim. Tools Appl., 2018

Unsupervised feature selection via local structure learning and sparse learning.

[BibT_eX]

[DOI]

Cong Lei

Multim. Tools Appl., 2018

Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization.

[BibT_eX]

[DOI]

Hongming Li

Yong Fan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Robust Multi-view Learning via Half-quadratic Minimization.

[BibT_eX]

[DOI]

Yonghua Zhu

Wei Zheng

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Robust Graph Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Robust Feature Selection on Incomplete Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity.

[BibT_eX]

[DOI]

Hongming Li

Yong Fan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Graph PCA Hashing for Similarity Search.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2017

Learning <i>k</i> for kNN Classification.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2017

Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2017

Low-rank unsupervised graph feature selection via feature self-representation.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2017

Learning high-dimensional multimedia data.

[BibT_eX]

[DOI]

Zhi Jin

Rongrong Ji

Multim. Syst., 2017

A novel relational regularization feature selection method for joint regression and classification in AD diagnosis.

[BibT_eX]

[DOI]

Medical Image Anal., 2017

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.

[BibT_eX]

[DOI]

Medical Image Anal., 2017

Editorial learning for multimodal data.

[BibT_eX]

[DOI]

Xudong Luo

Chen Xu

Neurocomputing, 2017

Graph self-representation method for unsupervised feature selection.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Unsupervised feature selection for visual classification via feature-representation property.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Personalized Diagnosis for Alzheimer's Disease.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network.

[BibT_eX]

[DOI]

Ashok K. Krishnamurthy

Jason L. Stein

Guorong Wu

Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2017

A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2017

Adaptive Hypergraph Learning for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Block-Row Sparse Multiview Multilabel Learning for Image Classification.

[BibT_eX]

[DOI]

Xuelong Li

Miguel Ángel González Ballester

IEEE Trans. Cybern., 2016

Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2016

Hybrid swarm intelligent parallel algorithm research based on multi-core clusters.

[BibT_eX]

[DOI]

Microprocess. Microsystems, 2016

Learning for medical imaging.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Supervised Feature Selection by Robust Sparse Reduced-Rank Regression.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Low-Rank Feature Reduction and Sample Selection for Multi-output Regression.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015

Corrections to "Exploiting Web Images for Semantic Video Indexing Via Robust Sample-Specific Loss".

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2015

Multi-view multi-sparsity kernel reconstruction for multi-class image classification.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Zero-shot Image Categorization by Image Correlation Exploration.

[BibT_eX]

[DOI]

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Multi-view Classification for Identification of Alzheimer's Disease.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image.

[BibT_eX]

[DOI]

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Discriminative Dimensionality Reduction for Patch-Based Label Fusion.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

2014

Exploiting Web Images for Semantic Video Indexing Via Robust Sample-Specific Loss.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2014

A Sparse Embedding and Least Variance Encoding Approach to Hashing.

[BibT_eX]

[DOI]

Lei Zhang

Zi Huang

IEEE Trans. Image Process., 2014

A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis.

[BibT_eX]

[DOI]

NeuroImage, 2014

Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Multi-modality Canonical Feature Selection for Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Multi-Output Regression with Tag Correlation Analysis for Effective Image Tagging.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2014

Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Graph sparse learning in multimedia data

[BibT_eX]

[DOI]

PhD thesis, 2013

Sparse hashing for fast multimedia search.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2013

Video-to-Shot Tag Propagation by Graph Sparse Group Lasso.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2013

Self-taught dimensionality reduction on the high-dimensional small-sized data.

[BibT_eX]

[DOI]

Pattern Recognit., 2013

Feature Selection by Joint Graph Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Multi-View Visual Classification via a Mixed-Norm Regularizer.

[BibT_eX]

[DOI]

Zi Huang

Xindong Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Linear cross-modal hashing for efficient multimedia search.

[BibT_eX]

[DOI]

Proceedings of the ACM Multimedia Conference, 2013

Online human gesture recognition from motion data streams.

[BibT_eX]

[DOI]

Proceedings of the ACM Multimedia Conference, 2013

Mixed-Norm Regression for Visual Classification.

[BibT_eX]

[DOI]

Jilian Zhang

Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

Mining Item Popularity for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012

Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis.

[BibT_eX]

[DOI]

Pattern Recognit., 2012

2011

Missing Value Estimation for Mixed-Attribute Data Sets.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2011

Missing data imputation by utilizing information within incomplete instances.

[BibT_eX]

[DOI]

Zhi Jin

J. Syst. Softw., 2011

UQMSG Experiments for TRECVID 2011.

[BibT_eX]

[DOI]

Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

Video-to-shot tag allocation by weighted sparse group lasso.

[BibT_eX]

[DOI]

Zi Huang

Heng Tao Shen

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

2009

Missing Data Analysis: A Kernel-Based Multi-Imputation Approach.

[BibT_eX]

[DOI]

Trans. Comput. Sci., 2009

Estimating confidence intervals for structural differences between contrast groups with missing data.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2009

POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2009

2008

Missing Value Imputation Based on Data Clustering.

[BibT_eX]

[DOI]

Trans. Comput. Sci., 2008

Mining follow-up correlation patterns from time-related databases.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2008

NIIA: Nonparametric Iterative Imputation Algorithm.

[BibT_eX]

[DOI]

Zhi Jin

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

2007

Semi-parametric optimization for missing data imputation.

[BibT_eX]

[DOI]

Appl. Intell., 2007

GBKII: An Imputation Method for Missing Values.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Cost-Time Sensitive Decision Tree with Missing Values.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, 2007

Cost-Sensitive Imputing Missing Values with Ordering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Measuring the Uncertainty of Differences for Contrasting Groups.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Optimized Parameters for Missing Data Imputation.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Identifying Follow-Correlation Itemset-Pairs.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Difference Detection Between Two Contrast Sets.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

Kernel-Based Multi-Imputation for Missing Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent IT, 2006

2005

Any-Cost Discovery: Learning Optimal Classification Rules.

[BibT_eX]

[DOI]

Ailing Ni