Rongyao Hu

54 papers A* 9A 1C 3Misc 2Journal 35Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
Sarcopenia Assessment Model Based on Dual-Source Modal Graph.
AAAI
Wenxian Zheng, Zhi Chen, Qiaoqin Li, Rongyao Hu, Yongguo Liu
2025 J jnl
3DDPS: A traffic matrix estimation method based on three-dimensional diffusion posterior sampling.
Comput. Networks
Minyue Li, Yan Qiao, Rongyao Hu, Pei Zhao, Junjie Wang, Zhenchun Wei, Xuesen Ma, Wenjing Li
2025 J jnl
Cascade-UDA: A Cascade paradigm for unsupervised domain adaptation.
Neurocomputing
Mengmeng Zhan, Zongqian Wu, Huafu Xu, Xiaofeng Zhu, Rongyao Hu
2025 J jnl
Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis With Diffusion-Based Approach.
IEEE Trans. Netw. Serv. Manag.
Xinyu Yuan, Yan Qiao, Zhenchun Wei, Zeyu Zhang, Minyue Li, Pei Zhao, Rongyao Hu, Wenjing Li
2025 Misc conf
Dual Trajectory Revised Diffusion Model for Time Series Forecasting.
ICASSP
Zilong Hu, Yan Qiao, Zidang Cai, Rongyao Hu, Junjie Wang, Meng Li, Zhenchun Wei
2025 J jnl
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model.
CoRR
Runqing Wu, Fei Ye, Qihe Liu, Guoxi Huang, Jinyu Guo, Rongyao Hu
2025 — conf
Interpretable Causal Feature Selection with GCN for Early Diagnosis of Alzheimer's Disease.
ADMA (3)
Qingfeng Chen, Chuxun Liu, Debo Cheng, Rongyao Hu
2025 J jnl
Multivariate Time Series forecasting based on temporal decomposition and graph neural network.
Eng. Appl. Artif. Intell.
Yan Qiao, Pei Zhao, Junjie Wang, Rongyao Hu, Minyue Li, Xinyu Yuan, Meng Li, Zhenchun Wei, Cuiying Feng
2025 J jnl
Resilient kernel-based unsupervised multi-view feature selection via compact binary hashing.
Eng. Appl. Artif. Intell.
Rongyao Hu, Mengmeng Zhan, Jiangzhang Gan, Li Li, Fei Ye, Tong Liu
2025 A* conf
Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing.
AAAI
Rongyao Hu, Jiangzhang Gan, Mengmeng Zhan, Li Li, Mengling Wei
2025 J jnl
Unsupervised multiplex graph representation learning via maximizing coding rate reduction.
Pattern Recognit.
Xin Wang, Liang Peng, Rongyao Hu, Ping Hu, Xiaofeng Zhu
2024 J jnl
Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach.
CoRR
Xinyu Yuan, Yan Qiao, Zhenchun Wei, Zeyu Zhang, Minyue Li, Pei Zhao, Rongyao Hu, Wenjing Li
2024 A conf
GATrack: Group-Aware features for multiple object tracking.
ICME
Xiaolong Wang, Ping Hu, Rongyao Hu, Xiaofeng Zhu
2024 J jnl
Hierarchical graph learning with convolutional network for brain disease prediction.
Multim. Tools Appl.
Tong Liu, Fangqi Liu, Yingying Wan, Rongyao Hu, Yongxin Zhu, Li Li
2024 J jnl
Multigraph Fusion for Dynamic Graph Convolutional Network.
IEEE Trans. Neural Networks Learn. Syst.
Jiangzhang Gan, Rongyao Hu, Yujie Mo, Zhao Kang, Liang Peng, Yonghua Zhu, Xiaofeng Zhu
2024 J jnl
Reverse Graph Learning for Graph Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Liang Peng, Rongyao Hu, Fei Kong, Jiangzhang Gan, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu
2024 A* conf
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation.
IJCAI
Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu
2024 J jnl
Traffic Matrix Estimation based on Denoising Diffusion Probabilistic Model.
CoRR
Xinyu Yuan, Yan Qiao, Pei Zhao, Rongyao Hu, Benchu Zhang
2024 Misc conf
Unsupervised Anomaly Detection for Multivariate Time Series Using Diffusion Model.
ICASSP
Rongyao Hu, Xinyu Yuan, Yan Qiao, Benchu Zhang, Pei Zhao
2023 J jnl
Completed sample correlations and feature dependency-based unsupervised feature selection.
Multim. Tools Appl.
Tong Liu, Rongyao Hu, Yongxin Zhu
2023 J jnl
IGCNN-FC: Boosting interpretability and generalization of convolutional neural networks for few chest X-rays analysis.
Inf. Process. Manag.
Mengmeng Zhan, Xiaoshuang Shi, Fangqi Liu, Rongyao Hu
2023 C conf
Traffic Matrix Estimation based on Denoising Diffusion Probabilistic Model.
ISCC
Xinyu Yuan, Yan Qiao, Pei Zhao, Rongyao Hu, Benchu Zhang
2022 A* conf
Complementary Graph Representation Learning for Functional Neuroimaging Identification.
ACM Multimedia
Rongyao Hu, Liang Peng, Jiangzhang Gan, Xiaoshuang Shi, Xiaofeng Zhu
2022 J jnl
Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data.
Inf. Process. Manag.
Rongyao Hu, Jiangzhang Gan, Xiaofeng Zhu, Tong Liu, Xiaoshuang Shi
2022 A* conf
Multi-view Unsupervised Graph Representation Learning.
IJCAI
Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu
2021 J jnl
Adaptive Laplacian Support Vector Machine for Semi-supervised Learning.
Comput. J.
Rongyao Hu, Leyuan Zhang, Jian Wei
2021 J jnl
Adaptive reverse graph learning for robust subspace learning.
Inf. Process. Manag.
Chang-An Yuan, Zhi Zhong, Cong Lei, Xiaofeng Zhu, Rongyao Hu
2021 J jnl
Brain functional connectivity analysis based on multi-graph fusion.
Medical Image Anal.
Jiangzhang Gan, Zi-Wen Peng, Xiaofeng Zhu, Rongyao Hu, Junbo Ma, Guorong Wu
2021 J jnl
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan.
Medical Image Anal.
Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
2021 J jnl
Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification.
IEEE Trans. Medical Imaging
Rongyao Hu, Zi-Wen Peng, Xiaofeng Zhu, Jiangzhang Gan, Yonghua Zhu, Junbo Ma, Guorong Wu
2021 A* conf
Multi-scale Graph Fusion for Co-saliency Detection.
AAAI
Rongyao Hu, Zhenyun Deng, Xiaofeng Zhu
2020 J jnl
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan.
CoRR
Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
2020 A* conf
Multi-graph Fusion for Functional Neuroimaging Biomarker Detection.
IJCAI
Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-Wen Peng, Guorong Wu
2020 J jnl
Robust SVM with adaptive graph learning.
World Wide Web
Rongyao Hu, Xiaofeng Zhu, Yonghua Zhu, Jiangzhang Gan
2019 J jnl
Low-rank hypergraph feature selection for multi-output regression.
World Wide Web
Xiaofeng Zhu, Rongyao Hu, Cong Lei, Kim-Han Thung, Wei Zheng, Can Wang
2019 J jnl
One-Step Multi-View Spectral Clustering.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Shichao Zhang, Wei He, Rongyao Hu, Cong Lei, Pengfei Zhu
2018 J jnl
Adaptive structure learning for low-rank supervised feature selection.
Pattern Recognit. Lett.
Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen
2018 J jnl
Dynamic graph learning for spectral feature selection.
Multim. Tools Appl.
Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Rongyao Hu, Cong Lei
2018 J jnl
Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Shichao Zhang, Rongyao Hu, Yonghua Zhu, Jingkuan Song
2018 J jnl
Supervised feature selection algorithm via discriminative ridge regression.
World Wide Web
Shichao Zhang, Debo Cheng, Rongyao Hu, Zhenyun Deng
2018 J jnl
Unsupervised feature selection by combining subspace learning with feature self-representation.
Pattern Recognit. Lett.
Yangding Li, Cong Lei, Yue Fang, Rongyao Hu, Yonggang Li, Shichao Zhang
2017 A* conf
Adaptive Hypergraph Learning for Unsupervised Feature Selection.
IJCAI
Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He
2017 J jnl
Feature self-representation based hypergraph unsupervised feature selection via low-rank representation.
Neurocomputing
Wei He, Xiaohui Cheng, Rongyao Hu, Yonghua Zhu, Guoqiu Wen
2017 J jnl
Graph self-representation method for unsupervised feature selection.
Neurocomputing
Rongyao Hu, Xiaofeng Zhu, Debo Cheng, Wei He, Yan Yan, Jingkuan Song, Shichao Zhang
2017 J jnl
Low-rank feature selection for multi-view regression.
Multim. Tools Appl.
Rongyao Hu, Debo Cheng, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang
2017 J jnl
Low-rank unsupervised graph feature selection via feature self-representation.
Multim. Tools Appl.
Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang
2017 A* conf
One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace.
AAAI
Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu
2017 — conf
Robust Features Selection via Structure Learning and Multiple Subspace Learning.
ICBK
Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen
2017 J jnl
Self-representation dimensionality reduction for multi-model classification.
Neurocomputing
Rongyao Hu, Jie Cao, Debo Cheng, Wei He, Yonghua Zhu, Qing Xie, Guoqiu Wen
2017 — conf
Unsupervised Feature Selection via Local Structure Learning and Self-Representation.
ICBK
Shichao Zhang, Cong Lei, Yue Fang, Yangding Li, Rongyao Hu, Xiaoyi Hu
2017 — conf
Unsupervised Spectral Feature Selection with Local Structure Learning.
ICBK
Shichao Zhang, Yue Fang, Cong Lei, Yangding Li, Rongyao Hu, Yonggang Li
2017 J jnl
Unsupervised feature selection for visual classification via feature-representation property.
Neurocomputing
Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang
2016 C conf
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression.
ADMA
Rongyao Hu, Xiaofeng Zhu, Wei He, Jilian Zhang, Shichao Zhang
2016 C conf
Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints.
ADMA
Wei He, Xiaofeng Zhu, Yonggang Li, Rongyao Hu, Yonghua Zhu, Shichao Zhang