Rongyao Hu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 39

Top Topics

Structure Learning

Graph Representation

Dimensionality Reduction

Spectral Clustering

Top Venues

Multim. Tools Appl.

Inf. Process. Manag.

Publications

Tong Liu, Fangqi Liu, Yingying Wan, Rongyao Hu, Yongxin Zhu, Li Li
Hierarchical graph learning with convolutional network for brain disease prediction. Multim. Tools Appl. 83 (15) (2024)
Jiangzhang Gan, Rongyao Hu, Yujie Mo, Zhao Kang, Liang Peng, Yonghua Zhu, Xiaofeng Zhu
Multigraph Fusion for Dynamic Graph Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Liang Peng, Rongyao Hu, Fei Kong, Jiangzhang Gan, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu
Reverse Graph Learning for Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Rongyao Hu, Xinyu Yuan, Yan Qiao, Benchu Zhang, Pei Zhao
Unsupervised Anomaly Detection for Multivariate Time Series Using Diffusion Model. ICASSP (2024)
Tong Liu, Rongyao Hu, Yongxin Zhu
Completed sample correlations and feature dependency-based unsupervised feature selection. Multim. Tools Appl. 82 (10) (2023)
Xinyu Yuan, Yan Qiao, Pei Zhao, Rongyao Hu, Benchu Zhang
Traffic Matrix Estimation based on Denoising Diffusion Probabilistic Model. ISCC (2023)
Mengmeng Zhan, Xiaoshuang Shi, Fangqi Liu, Rongyao Hu
IGCNN-FC: Boosting interpretability and generalization of convolutional neural networks for few chest X-rays analysis. Inf. Process. Manag. 60 (3) (2023)
Rongyao Hu, Jiangzhang Gan, Xiaofeng Zhu, Tong Liu, Xiaoshuang Shi
Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data. Inf. Process. Manag. 59 (1) (2022)
Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu
Multi-view Unsupervised Graph Representation Learning. IJCAI (2022)
Rongyao Hu, Liang Peng, Jiangzhang Gan, Xiaoshuang Shi, Xiaofeng Zhu
Complementary Graph Representation Learning for Functional Neuroimaging Identification. ACM Multimedia (2022)
Rongyao Hu, Zi-Wen Peng, Xiaofeng Zhu, Jiangzhang Gan, Yonghua Zhu, Junbo Ma, Guorong Wu
Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification. IEEE Trans. Medical Imaging 40 (12) (2021)
Rongyao Hu, Zhenyun Deng, Xiaofeng Zhu
Multi-scale Graph Fusion for Co-saliency Detection. AAAI (2021)
Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. Medical Image Anal. 67 (2021)
Chang-An Yuan, Zhi Zhong, Cong Lei, Xiaofeng Zhu, Rongyao Hu
Adaptive reverse graph learning for robust subspace learning. Inf. Process. Manag. 58 (6) (2021)
Jiangzhang Gan, Zi-Wen Peng, Xiaofeng Zhu, Rongyao Hu, Junbo Ma, Guorong Wu
Brain functional connectivity analysis based on multi-graph fusion. Medical Image Anal. 71 (2021)
Rongyao Hu, Leyuan Zhang, Jian Wei
Adaptive Laplacian Support Vector Machine for Semi-supervised Learning. Comput. J. 64 (7) (2021)
Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan. CoRR (2020)
Rongyao Hu, Xiaofeng Zhu, Yonghua Zhu, Jiangzhang Gan
Robust SVM with adaptive graph learning. World Wide Web 23 (3) (2020)
Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-Wen Peng, Guorong Wu
Multi-graph Fusion for Functional Neuroimaging Biomarker Detection. IJCAI (2020)
Xiaofeng Zhu, Shichao Zhang, Wei He, Rongyao Hu, Cong Lei, Pengfei Zhu
One-Step Multi-View Spectral Clustering. IEEE Trans. Knowl. Data Eng. 31 (10) (2019)
Xiaofeng Zhu, Rongyao Hu, Cong Lei, Kim-Han Thung, Wei Zheng, Can Wang
Low-rank hypergraph feature selection for multi-output regression. World Wide Web 22 (2) (2019)
Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Rongyao Hu, Cong Lei
Dynamic graph learning for spectral feature selection. Multim. Tools Appl. 77 (22) (2018)
Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen
Adaptive structure learning for low-rank supervised feature selection. Pattern Recognit. Lett. 109 (2018)
Shichao Zhang, Debo Cheng, Rongyao Hu, Zhenyun Deng
Supervised feature selection algorithm via discriminative ridge regression. World Wide Web 21 (6) (2018)
Yangding Li, Cong Lei, Yue Fang, Rongyao Hu, Yonggang Li, Shichao Zhang
Unsupervised feature selection by combining subspace learning with feature self-representation. Pattern Recognit. Lett. 109 (2018)
Xiaofeng Zhu, Shichao Zhang, Rongyao Hu, Yonghua Zhu, Jingkuan Song
Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection. IEEE Trans. Knowl. Data Eng. 30 (3) (2018)
Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang
Unsupervised feature selection for visual classification via feature-representation property. Neurocomputing 236 (2017)
Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He
Adaptive Hypergraph Learning for Unsupervised Feature Selection. IJCAI (2017)
Rongyao Hu, Xiaofeng Zhu, Debo Cheng, Wei He, Yan Yan, Jingkuan Song, Shichao Zhang
Graph self-representation method for unsupervised feature selection. Neurocomputing 220 (2017)
Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang
Low-rank unsupervised graph feature selection via feature self-representation. Multim. Tools Appl. 76 (9) (2017)
Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen
Robust Features Selection via Structure Learning and Multiple Subspace Learning. ICBK (2017)
Rongyao Hu, Debo Cheng, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang
Low-rank feature selection for multi-view regression. Multim. Tools Appl. 76 (16) (2017)
Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu
One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace. AAAI (2017)
Wei He, Xiaohui Cheng, Rongyao Hu, Yonghua Zhu, Guoqiu Wen
Feature self-representation based hypergraph unsupervised feature selection via low-rank representation. Neurocomputing 253 (2017)
Rongyao Hu, Jie Cao, Debo Cheng, Wei He, Yonghua Zhu, Qing Xie, Guoqiu Wen
Self-representation dimensionality reduction for multi-model classification. Neurocomputing 253 (2017)
Shichao Zhang, Yue Fang, Cong Lei, Yangding Li, Rongyao Hu, Yonggang Li
Unsupervised Spectral Feature Selection with Local Structure Learning. ICBK (2017)
Shichao Zhang, Cong Lei, Yue Fang, Yangding Li, Rongyao Hu, Xiaoyi Hu
Unsupervised Feature Selection via Local Structure Learning and Self-Representation. ICBK (2017)
Rongyao Hu, Xiaofeng Zhu, Wei He, Jilian Zhang, Shichao Zhang
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression. ADMA (2016)
Wei He, Xiaofeng Zhu, Yonggang Li, Rongyao Hu, Yonghua Zhu, Shichao Zhang
Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints. ADMA (2016)