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2020 – today
- 2024
[j25]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): 46161-46179 (2024)- [j24]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): 196-207 (2024) - [j23]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): 4530-4541 (2024) - [c13]Rongyao Hu, Xinyu Yuan, Yan Qiao, Benchu Zhang, Pei Zhao:
Unsupervised Anomaly Detection for Multivariate Time Series Using Diffusion Model. ICASSP 2024: 9606-9610 - 2023
- [j22]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): 103258 (2023) - [j21]Tong Liu, Rongyao Hu, Yongxin Zhu:
Completed sample correlations and feature dependency-based unsupervised feature selection. Multim. Tools Appl. 82(10): 15305-15326 (2023) - [c12]Xinyu Yuan, Yan Qiao, Pei Zhao, Rongyao Hu, Benchu Zhang:
Traffic Matrix Estimation based on Denoising Diffusion Probabilistic Model. ISCC 2023: 316-322 - 2022
- [j20]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): 102782 (2022) - [c11]Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu:
Multi-view Unsupervised Graph Representation Learning. IJCAI 2022: 2987-2993 - [c10]Rongyao Hu, Liang Peng, Jiangzhang Gan, Xiaoshuang Shi, Xiaofeng Zhu:
Complementary Graph Representation Learning for Functional Neuroimaging Identification. ACM Multimedia 2022: 3385-3393 - 2021
- [j19]Rongyao Hu, Leyuan Zhang, Jian Wei:
Adaptive Laplacian Support Vector Machine for Semi-supervised Learning. Comput. J. 64(7): 1005-1015 (2021) - [j18]Chang-An Yuan, Zhi Zhong, Cong Lei, Xiaofeng Zhu, Rongyao Hu:
Adaptive reverse graph learning for robust subspace learning. Inf. Process. Manag. 58(6): 102733 (2021) - [j17]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: 101824 (2021) - [j16]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: 102057 (2021) - [j15]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): 3843-3855 (2021) - [c9]Rongyao Hu, Zhenyun Deng, Xiaofeng Zhu:
Multi-scale Graph Fusion for Co-saliency Detection. AAAI 2021: 7789-7796 - 2020
- [j14]Rongyao Hu, Xiaofeng Zhu, Yonghua Zhu, Jiangzhang Gan:
Robust SVM with adaptive graph learning. World Wide Web 23(3): 1945-1968 (2020) - [c8]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: 580-586 - [i1]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 abs/2005.03405 (2020)
2010 – 2019
- 2019
- [j13]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): 2022-2034 (2019) - [j12]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): 517-531 (2019) - 2018
- [j11]Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Rongyao Hu, Cong Lei:
Dynamic graph learning for spectral feature selection. Multim. Tools Appl. 77(22): 29739-29755 (2018) - [j10]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: 35-43 (2018) - [j9]Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen:
Adaptive structure learning for low-rank supervised feature selection. Pattern Recognit. Lett. 109: 89-96 (2018) - [j8]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): 517-529 (2018) - [j7]Shichao Zhang, Debo Cheng, Rongyao Hu, Zhenyun Deng:
Supervised feature selection algorithm via discriminative ridge regression. World Wide Web 21(6): 1545-1562 (2018) - 2017
- [j6]Rongyao Hu, Xiaofeng Zhu, Debo Cheng, Wei He, Yan Yan, Jingkuan Song, Shichao Zhang:
Graph self-representation method for unsupervised feature selection. Neurocomputing 220: 130-137 (2017) - [j5]Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang:
Unsupervised feature selection for visual classification via feature-representation property. Neurocomputing 236: 5-13 (2017) - [j4]Wei He, Xiaohui Cheng, Rongyao Hu, Yonghua Zhu, Guoqiu Wen:
Feature self-representation based hypergraph unsupervised feature selection via low-rank representation. Neurocomputing 253: 127-134 (2017) - [j3]Rongyao Hu, Jie Cao, Debo Cheng, Wei He, Yonghua Zhu, Qing Xie, Guoqiu Wen:
Self-representation dimensionality reduction for multi-model classification. Neurocomputing 253: 154-161 (2017) - [j2]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): 12149-12164 (2017) - [j1]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): 17479-17495 (2017) - [c7]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: 2963-2969 - [c6]Shichao Zhang, Cong Lei, Yue Fang, Yangding Li, Rongyao Hu, Xiaoyi Hu:
Unsupervised Feature Selection via Local Structure Learning and Self-Representation. ICBK 2017: 297-302 - [c5]Shichao Zhang, Yue Fang, Cong Lei, Yangding Li, Rongyao Hu, Yonggang Li:
Unsupervised Spectral Feature Selection with Local Structure Learning. ICBK 2017: 303-308 - [c4]Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen:
Robust Features Selection via Structure Learning and Multiple Subspace Learning. ICBK 2017: 326-331 - [c3]Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He:
Adaptive Hypergraph Learning for Unsupervised Feature Selection. IJCAI 2017: 3581-3587 - 2016
- [c2]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: 172-187 - [c1]Rongyao Hu, Xiaofeng Zhu, Wei He, Jilian Zhang, Shichao Zhang:
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression. ADMA 2016: 700-713
Coauthor Index
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