2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model.
CoRR, January, 2025
3DDPS: A traffic matrix estimation method based on three-dimensional diffusion posterior sampling.
Comput. Networks, 2025
2024
Hierarchical graph learning with convolutional network for brain disease prediction.
Multim. Tools Appl., May, 2024
Reverse Graph Learning for Graph Neural Network.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Multigraph Fusion for Dynamic Graph Convolutional Network.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach.
CoRR, 2024
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
GATrack: Group-Aware features for multiple object tracking.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Unsupervised Anomaly Detection for Multivariate Time Series Using Diffusion Model.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
IGCNN-FC: Boosting interpretability and generalization of convolutional neural networks for few chest X-rays analysis.
Inf. Process. Manag., May, 2023
Completed sample correlations and feature dependency-based unsupervised feature selection.
Multim. Tools Appl., April, 2023
Traffic Matrix Estimation based on Denoising Diffusion Probabilistic Model.
Proceedings of the IEEE Symposium on Computers and Communications, 2023
2022
Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data.
Inf. Process. Manag., 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
Multi-view Unsupervised Graph Representation Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification.
IEEE Trans. Medical Imaging, 2021
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan.
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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
Adaptive Laplacian Support Vector Machine for Semi-supervised Learning.
Comput. J., 2021
Multi-scale Graph Fusion for Co-saliency Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Robust SVM with adaptive graph learning.
World Wide Web, 2020
Multi-graph Fusion for Functional Neuroimaging Biomarker Detection.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
Low-rank hypergraph feature selection for multi-output regression.
World Wide Web, 2019
One-Step Multi-View Spectral Clustering.
IEEE Trans. Knowl. Data Eng., 2019
2018
Supervised feature selection algorithm via discriminative ridge regression.
World Wide Web, 2018
Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection.
IEEE Trans. Knowl. Data Eng., 2018
Adaptive structure learning for low-rank supervised feature selection.
Pattern Recognit. Lett., 2018
Unsupervised feature selection by combining subspace learning with feature self-representation.
Pattern Recognit. Lett., 2018
Dynamic graph learning for spectral feature selection.
Multim. Tools Appl., 2018
2017
Low-rank feature selection for multi-view regression.
Multim. Tools Appl., 2017
Low-rank unsupervised graph feature selection via feature self-representation.
Multim. Tools Appl., 2017
Graph self-representation method for unsupervised feature selection.
Neurocomputing, 2017
Self-representation dimensionality reduction for multi-model classification.
Neurocomputing, 2017
Unsupervised feature selection for visual classification via feature-representation property.
Neurocomputing, 2017
Feature self-representation based hypergraph unsupervised feature selection via low-rank representation.
Neurocomputing, 2017
Adaptive Hypergraph Learning for Unsupervised Feature Selection.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Robust Features Selection via Structure Learning and Multiple Subspace Learning.
Proceedings of the IEEE International Conference on Big Knowledge, 2017
Unsupervised Spectral Feature Selection with Local Structure Learning.
Proceedings of the IEEE International Conference on Big Knowledge, 2017
Unsupervised Feature Selection via Local Structure Learning and Self-Representation.
Proceedings of the IEEE International Conference on Big Knowledge, 2017
One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
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