Hu, Rongyao

10 publications

NeurIPS 2025 Dynamic Siamese Expansion Framework for Improving Robustness in Online Continual Learning Fei Ye, Yulong Zhao, Qihe Liu, Junlin Chen, Adrian G. Bors, Jingling Sun, Rongyao Hu, Shijie Zhou

NeurIPS 2025 Learning Expandable and Adaptable Representations for Continual Learning Ruilong Yu, Mingyan Liu, Fei Ye, Adrian G. Bors, Rongyao Hu, Jingling Sun, Shijie Zhou

NeurIPS 2025 Learning Multi-Source and Robust Representations for Continual Learning Fei Ye, Yongcheng Zhong, Qihe Liu, Adrian G. Bors, Jingling Sun, Rongyao Hu, Shijie Zhou

AAAI 2025 Unsupervised Kernel-Based Multi-View Feature Selection with Robust Self-Representation and Binary Hashing Rongyao Hu, Jiangzhang Gan, Mengmeng Zhan, Li Li, Mengling Wei

IJCAI 2024 Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu

IJCAI 2022 Multi-View Unsupervised Graph Representation Learning Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu

AAAI 2021 Multi-Scale Graph Fusion for Co-Saliency Detection Rongyao Hu, Zhenyun Deng, Xiaofeng Zhu

IJCAI 2020 Multi-Graph Fusion for Functional Neuroimaging Biomarker Detection Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-Wen Peng, Guorong Wu

IJCAI 2017 Adaptive Hypergraph Learning for Unsupervised Feature Selection Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He

AAAI 2017 One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu