2025
Dynamic graph based weakly supervised deep hashing for whole slide image classification and retrieval.
Medical Image Anal., 2025
Cross-attention guided loss-based deep dual-branch fusion network for liver tumor classification.
Inf. Fusion, 2025
Efficient self-supervised heterogeneous graph representation learning with reconstruction.
Inf. Fusion, 2025
Unsupervised multi-view graph representation learning with dual weight-net.
Inf. Fusion, 2025
2024
FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., October, 2024
SV-Learner: Support-Vector Contrastive Learning for Robust Learning With Noisy Labels.
IEEE Trans. Knowl. Data Eng., October, 2024
GRLC: Graph Representation Learning With Constraints.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Reverse Graph Learning for Graph Neural Network.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
A noise-resistant graph neural network by semi-supervised contrastive learning.
Inf. Sci., February, 2024
Multigraph Fusion for Dynamic Graph Convolutional Network.
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.
Pattern Recognit., 2024
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning.
Medical Image Anal., 2024
Graph augmentation for node-level few-shot learning.
Knowl. Based Syst., 2024
A novel federated multi-view clustering method for unaligned and incomplete data fusion.
Inf. Fusion, 2024
Rethinking Chain-of-Thought from the Perspective of Self-Training.
CoRR, 2024
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network.
CoRR, 2024
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters.
CoRR, 2024
On Efficient Variants of Segment Anything Model: A Survey.
CoRR, 2024
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation.
CoRR, 2024
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Adaptive Multi-Modality Prompt Learning.
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.
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.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Simple Contrastive Multi-View Clustering with Data-Level Fusion.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Multiplex Graph Representation Learning via Bi-level Optimization.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Exploring the Role of Node Diversity in Directed Graph Representation Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
GATrack: Group-Aware features for multiple object tracking.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Patch Target Guided Dual-Branch Deep Multiple Instance Learning for 3D MRI Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Self-Training Based Few-Shot Node Classification by Knowledge Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Multiplex Graph Representation Learning Via Dual Correlation Reduction.
IEEE Trans. Knowl. Data Eng., December, 2023
UNTIE: Clustering analysis with disentanglement in multi-view information fusion.
Inf. Fusion, December, 2023
Self-paced principal component analysis.
Pattern Recognit., October, 2023
Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis.
Medical Image Anal., October, 2023
On the Imaginary Wings: Text-Assisted Complex-Valued Fusion Network for Fine-Grained Visual Classification.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Dynamic graph convolutional networks by semi-supervised contrastive learning.
Pattern Recognit., July, 2023
Contrastive structure and texture fusion for image inpainting.
Neurocomputing, June, 2023
GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI Analysis.
IEEE Trans. Medical Imaging, February, 2023
FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023
FedNI: Federated Graph Learning With Network Inpainting for Population-Based Disease Prediction.
IEEE Trans. Medical Imaging, 2023
Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering.
IEEE Trans. Image Process., 2023
Self-paced resistance learning against overfitting on noisy labels.
Pattern Recognit., 2023
TFUN: Trilinear Fusion Network for Ternary Image-Text Retrieval.
Inf. Fusion, 2023
Adaptive Multi-Modality Prompt Learning.
CoRR, 2023
ACT: Adversarial Consistency Models.
CoRR, 2023
Using Caterpillar to Nibble Small-Scale Images.
CoRR, 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy.
CoRR, 2023
Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios.
CoRR, 2023
Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition.
CoRR, 2023
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration.
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.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Multi-teacher Self-training for Semi-supervised Node Classification with Noisy Labels.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Federated Deep Multi-View Clustering with Global Self-Supervision.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Co-assistant Networks for Label Correction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Totally Dynamic Hypergraph Neural Networks.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
A Universal Unbiased Method for Classification from Aggregate Observations.
Proceedings of the International Conference on Machine Learning, 2023
Disentangled Multiplex Graph Representation Learning.
Proceedings of the International Conference on Machine Learning, 2023
Multiplex Graph Representation Learning via Common and Private Information Mining.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Dual Label-Guided Graph Refinement for Multi-View Graph Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Robust self-tuning multi-view clustering.
World Wide Web, 2022
Universal adversarial perturbations generative network.
World Wide Web, 2022
View-Invariant Human Action Recognition Via View Transformation Network (VTN).
IEEE Trans. Multim., 2022
Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning.
IEEE Trans. Knowl. Data Eng., 2022
Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview.
IEEE Trans. Cybern., 2022
Flow-Edge Guided Unsupervised Video Object Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2022
Universal Weighting Metric Learning for Cross-Modal Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data.
Inf. Process. Manag., 2022
Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysis.
Inf. Fusion, 2022
GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis.
CoRR, 2022
Simple Self-supervised Multiplex Graph Representation Learning.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Information Augmentation for Few-shot Node Classification.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Multi-view Unsupervised Graph Representation Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Multi-level Feature Learning for Contrastive Multi-view Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Simple Unsupervised Graph Representation Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
HCMSL: Hybrid Cross-modal Similarity Learning for Cross-modal Retrieval.
ACM Trans. Multim. Comput. Commun. Appl., 2021
Half-Quadratic Minimization for Unsupervised Feature Selection on Incomplete Data.
IEEE Trans. Neural Networks Learn. Syst., 2021
Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification.
IEEE Trans. Medical Imaging, 2021
Efficient Utilization of Missing Data in Cost-Sensitive Learning.
IEEE Trans. Knowl. Data Eng., 2021
Probability Ordinal-Preserving Semantic Hashing for Large-Scale Image Retrieval.
ACM Trans. Knowl. Discov. Data, 2021
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan.
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Medical Image Anal., 2021
Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data.
Medical Image Anal., 2021
Joint hub identification for brain networks by multivariate graph inference.
Medical Image Anal., 2021
Brain functional connectivity analysis based on multi-graph fusion.
Medical Image Anal., 2021
Adaptive reverse graph learning for robust subspace learning.
Inf. Process. Manag., 2021
Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks.
Inf. Fusion, 2021
Heterogeneous data fusion for predicting mild cognitive impairment conversion.
Inf. Fusion, 2021
Contrastive Multi-Modal Clustering.
CoRR, 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels.
CoRR, 2021
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view.
CoRR, 2021
Privacy-preserving Multimedia Data Analysis.
Comput. J., 2021
Video Representation Learning with Graph Contrastive Augmentation.
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.
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.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Multi-scale Graph Fusion for Co-saliency Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Spectral clustering via half-quadratic optimization.
World Wide Web, 2020
Robust SVM with adaptive graph learning.
World Wide Web, 2020
Self-weighted Multi-view Fuzzy Clustering.
ACM Trans. Knowl. Discov. Data, 2020
Sparse Graph Connectivity for Image Segmentation.
ACM Trans. Knowl. Discov. Data, 2020
Unsupervised feature selection by self-paced learning regularization.
Pattern Recognit. Lett., 2020
Spectral rotation for deep one-step clustering.
Pattern Recognit., 2020
Deep understanding of big multimedia data.
Neural Comput. Appl., 2020
Privacy-preserving representation learning for big data.
Neurocomputing, 2020
Deep understanding of big multimedia data.
Neurocomputing, 2020
Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities.
Neurocomputing, 2020
Adversarial Learning-Based Semantic Correlation Representation for Cross-Modal Retrieval.
IEEE Multim., 2020
Graph-based variational auto-encoder for generalized zero-shot learning.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020
Multi-level expression guided attention network for referring expression comprehension.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020
Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Multi-graph Fusion for Functional Neuroimaging Biomarker Detection.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification.
World Wide Web, 2019
Group sparse reduced rank regression for neuroimaging genetic study.
World Wide Web, 2019
Low-rank hypergraph feature selection for multi-output regression.
World Wide Web, 2019
Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases.
IEEE Trans. Medical Imaging, 2019
Low-Rank Sparse Subspace for Spectral Clustering.
IEEE Trans. Knowl. Data Eng., 2019
One-Step Multi-View Spectral Clustering.
IEEE Trans. Knowl. Data Eng., 2019
Strength and similarity guided group-level brain functional network construction for MCI diagnosis.
Pattern Recognit., 2019
Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis.
Pattern Recognit., 2019
Connected graph decomposition for spectral clustering.
Multim. Tools Appl., 2019
Initialization-similarity clustering algorithm.
Multim. Tools Appl., 2019
High dynamic range image forensics using cnn.
CoRR, 2019
Robust and Discriminative Brain Genome Association Study.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Joint Identification of Network Hub Nodes by Multivariate Graph Inference.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
Editorial: Deep Mining Big Social Data.
World Wide Web, 2018
Efficient kNN Classification With Different Numbers of Nearest Neighbors.
IEEE Trans. Neural Networks Learn. Syst., 2018
Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection.
IEEE Trans. Knowl. Data Eng., 2018
Pattern discovery from multi-source data.
Pattern Recognit. Lett., 2018
Quantization-based hashing: a general framework for scalable image and video retrieval.
Pattern Recognit., 2018
A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis.
Neuroinformatics, 2018
Dynamic graph learning for spectral feature selection.
Multim. Tools Appl., 2018
Global and local clustering with kNN and local PCA.
Multim. Tools Appl., 2018
Unsupervised feature selection via local structure learning and sparse learning.
Multim. Tools Appl., 2018
Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Robust Multi-view Learning via Half-quadratic Minimization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Robust Graph Dimensionality Reduction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Robust Feature Selection on Incomplete Data.
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.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2017
Graph PCA Hashing for Similarity Search.
IEEE Trans. Multim., 2017
Learning <i>k</i> for kNN Classification.
ACM Trans. Intell. Syst. Technol., 2017
Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers.
IEEE Trans. Big Data, 2017
Low-rank unsupervised graph feature selection via feature self-representation.
Multim. Tools Appl., 2017
Learning high-dimensional multimedia data.
Multim. Syst., 2017
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis.
Medical Image Anal., 2017
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.
Medical Image Anal., 2017
Editorial learning for multimodal data.
Neurocomputing, 2017
Graph self-representation method for unsupervised feature selection.
Neurocomputing, 2017
Unsupervised feature selection for visual classification via feature-representation property.
Neurocomputing, 2017
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Personalized Diagnosis for Alzheimer's Disease.
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.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis.
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.
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Proceedings of the Patch-Based Techniques in Medical Imaging, 2017
A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity.
Proceedings of the Information Processing in Medical Imaging, 2017
A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases.
Proceedings of the Information Processing in Medical Imaging, 2017
Adaptive Hypergraph Learning for Unsupervised Feature Selection.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Block-Row Sparse Multiview Multilabel Learning for Image Classification.
IEEE Trans. Cybern., 2016
Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification.
IEEE Trans. Biomed. Eng., 2016
Hybrid swarm intelligent parallel algorithm research based on multi-core clusters.
Microprocess. Microsystems, 2016
Learning for medical imaging.
Neurocomputing, 2016
Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis.
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.
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.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
Low-Rank Feature Reduction and Sample Selection for Multi-output Regression.
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".
IEEE Trans. Multim., 2015
Multi-view multi-sparsity kernel reconstruction for multi-class image classification.
Neurocomputing, 2015
Zero-shot Image Categorization by Image Correlation Exploration.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015
Multi-view Classification for Identification of Alzheimer's Disease.
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.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Discriminative Dimensionality Reduction for Patch-Based Label Fusion.
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.
IEEE Trans. Multim., 2014
A Sparse Embedding and Least Variance Encoding Approach to Hashing.
IEEE Trans. Image Process., 2014
A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis.
NeuroImage, 2014
Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Multi-modality Canonical Feature Selection for Alzheimer's Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Multi-Output Regression with Tag Correlation Analysis for Effective Image Tagging.
Proceedings of the Database Systems for Advanced Applications, 2014
Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
Graph sparse learning in multimedia data
PhD thesis, 2013
Sparse hashing for fast multimedia search.
ACM Trans. Inf. Syst., 2013
Video-to-Shot Tag Propagation by Graph Sparse Group Lasso.
IEEE Trans. Multim., 2013
Self-taught dimensionality reduction on the high-dimensional small-sized data.
Pattern Recognit., 2013
Feature Selection by Joint Graph Sparse Coding.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Multi-View Visual Classification via a Mixed-Norm Regularizer.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Linear cross-modal hashing for efficient multimedia search.
Proceedings of the ACM Multimedia Conference, 2013
Online human gesture recognition from motion data streams.
Proceedings of the ACM Multimedia Conference, 2013
Mixed-Norm Regression for Visual Classification.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013
Mining Item Popularity for Recommender Systems.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013
2012
Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis.
Pattern Recognit., 2012
2011
Missing Value Estimation for Mixed-Attribute Data Sets.
IEEE Trans. Knowl. Data Eng., 2011
Missing data imputation by utilizing information within incomplete instances.
J. Syst. Softw., 2011
UQMSG Experiments for TRECVID 2011.
Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011
Video-to-shot tag allocation by weighted sparse group lasso.
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.
Trans. Comput. Sci., 2009
Estimating confidence intervals for structural differences between contrast groups with missing data.
Expert Syst. Appl., 2009
POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases.
Expert Syst. Appl., 2009
2008
Missing Value Imputation Based on Data Clustering.
Trans. Comput. Sci., 2008
Mining follow-up correlation patterns from time-related databases.
Knowl. Inf. Syst., 2008
NIIA: Nonparametric Iterative Imputation Algorithm.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008
2007
Semi-parametric optimization for missing data imputation.
Appl. Intell., 2007
GBKII: An Imputation Method for Missing Values.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007
Cost-Time Sensitive Decision Tree with Missing Values.
Proceedings of the Knowledge Science, 2007
Cost-Sensitive Imputing Missing Values with Ordering.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
Measuring the Uncertainty of Differences for Contrasting Groups.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
2006
Optimized Parameters for Missing Data Imputation.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006
Identifying Follow-Correlation Itemset-Pairs.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Difference Detection Between Two Contrast Sets.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006
Kernel-Based Multi-Imputation for Missing Data.
Proceedings of the Advances in Intelligent IT, 2006
2005
Any-Cost Discovery: Learning Optimal Classification Rules.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005