Xiaofeng Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 154

Top Venues

Publications

Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. CoRR (2024)
Liang Peng, Songyue Cai, Zongqian Wu, Huifang Shang, Xiaofeng Zhu, Xiaoxiao Li
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning. Medical Image Anal. 97 (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)
Fei Kong, Jinhao Duan, Ruipeng Ma, Heng Tao Shen, Xiaoshuang Shi, Xiaofeng Zhu, Kaidi Xu
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization. ICLR (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)
Liang Peng, Yujie Mo, Jie Xu, Jialie Shen, Xiaoshuang Shi, Xiaoxiao Li, Heng Tao Shen, Xiaofeng Zhu
GRLC: Graph Representation Learning With Constraints. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View. ICLR (2024)
Zhengyu Lu, Junbo Ma, Zongqian Wu, Bo Zhou, Xiaofeng Zhu
A noise-resistant graph neural network by semi-supervised contrastive learning. Inf. Sci. 658 (2024)
Yazhou Ren, Xinyue Chen, Jie Xu, Jingyu Pu, Yonghao Huang, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
A novel federated multi-view clustering method for unaligned and incomplete data fusion. Inf. Fusion 108 (2024)
Jinghao Xu, Chenxi Yuan, Xiaochuan Ma, Huifang Shang, Xiaoshuang Shi, Xiaofeng Zhu
Interpretable medical deep framework by logits-constraint attention guiding graph-based multi-scale fusion for Alzheimer's disease analysis. Pattern Recognit. 152 (2024)
Zongqian Wu, Peng Zhou, Junbo Ma, Jilian Zhang, Guoqin Yuan, Xiaofeng Zhu
Graph augmentation for node-level few-shot learning. Knowl. Based Syst. 297 (2024)
Jie Xu, Chao Li, Liang Peng, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering. IEEE Trans. Image Process. 32 (2023)
Yujie Mo, Yuhuan Chen, Yajie Lei, Liang Peng, Xiaoshuang Shi, Changan Yuan, Xiaofeng Zhu
Multiplex Graph Representation Learning Via Dual Correlation Reduction. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
Multiplex Graph Representation Learning via Common and Private Information Mining. AAAI (2023)
Liang Peng, Nan Wang, Jie Xu, Xiaofeng Zhu, Xiaoxiao Li
GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI Analysis. IEEE Trans. Medical Imaging 42 (2) (2023)
Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
Federated Deep Multi-View Clustering with Global Self-Supervision. CoRR (2023)
Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu
Totally Dynamic Hypergraph Neural Networks. IJCAI (2023)
Fei Kong, Jinhao Duan, Ruipeng Ma, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization. CoRR (2023)
Xing Xu, Jialiang Sun, Zuo Cao, Yin Zhang, Xiaofeng Zhu, Heng Tao Shen
TFUN: Trilinear Fusion Network for Ternary Image-Text Retrieval. Inf. Fusion 91 (2023)
Jie Xu, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
UNTIE: Clustering analysis with disentanglement in multi-view information fusion. Inf. Fusion 100 (2023)
Liang Peng, Songyue Cai, Zongqian Wu, Huifang Shang, Xiaofeng Zhu, Xiaoxiao Li
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning. CoRR (2023)
Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
Disentangled Multiplex Graph Representation Learning. ICML (2023)
Zhenqian Wu, Xiaoyuan Li, Yazhou Ren, Xiaorong Pu, Xiaofeng Zhu, Lifang He
Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition. CoRR (2023)
Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
ACT: Adversarial Consistency Models. CoRR (2023)
Xiaoshuang Shi, Zhenhua Guo, Kang Li, Yun Liang, Xiaofeng Zhu
Self-paced resistance learning against overfitting on noisy labels. Pattern Recognit. 134 (2023)
Zongqian Wu, Yujing Liu, Mengmeng Zhan, Jialie Shen, Ping Hu, Xiaofeng Zhu
Adaptive Multi-Modality Prompt Learning. CoRR (2023)
Xuan Chen, Weiheng Fu, Tian Li, Xiaoshuang Shi, Hengtao Shen, Xiaofeng Zhu
Co-assistant Networks for Label Correction. MICCAI (3) (2023)
Zhao Kang, Hongfei Liu, Jiangxin Li, Xiaofeng Zhu, Ling Tian
Self-paced principal component analysis. Pattern Recognit. 142 (2023)
Liang Peng, Xin Wang, Xiaofeng Zhu
Unsupervised Multiplex Graph Learning with Complementary and Consistent Information. CoRR (2023)
Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen
A Universal Unbiased Method for Classification from Aggregate Observations. CoRR (2023)
Jie Xu, Gang Niu, Xiaolong Wang, Yazhou Ren, Lei Feng, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios. CoRR (2023)
Hengxin Li, Xiaoshuang Shi, Xiaofeng Zhu, Shuihua Wang, Zheng Zhang
FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis. IEEE Trans. Emerg. Top. Comput. Intell. 7 (1) (2023)
Liang Peng, Nan Wang, Nicha C. Dvornek, Xiaofeng Zhu, Xiaoxiao Li
FedNI: Federated Graph Learning With Network Inpainting for Population-Based Disease Prediction. IEEE Trans. Medical Imaging 42 (7) (2023)
Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration. NeurIPS (2023)
Yujing Liu, Zongqian Wu, Zhengyu Lu, Guoqiu Wen, Junbo Ma, Guangquan Lu, Xiaofeng Zhu
Multi-teacher Self-training for Semi-supervised Node Classification with Noisy Labels. ACM Multimedia (2023)
Jin Sun, Xiaoshuang Shi, Zhiyuan Weng, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu
Using Caterpillar to Nibble Small-Scale Images. CoRR (2023)
Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen
A Universal Unbiased Method for Classification from Aggregate Observations. ICML (2023)
Guolin Zhang, Zehui Hu, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu
Dynamic graph convolutional networks by semi-supervised contrastive learning. Pattern Recognit. 139 (2023)
Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He
Dual Label-Guided Graph Refinement for Multi-View Graph Clustering. AAAI (2023)
Xiang Guan, Yang Yang, Jingjing Li, Xiaofeng Zhu, Jingkuan Song, Heng Tao Shen
On the Imaginary Wings: Text-Assisted Complex-Valued Fusion Network for Fine-Grained Visual Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Hangchen Xiang, Junyi Shen, Qingguo Yan, Meilian Xu, Xiaoshuang Shi, Xiaofeng Zhu
Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis. Medical Image Anal. 89 (2023)
Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
Federated Deep Multi-View Clustering with Global Self-Supervision. ACM Multimedia (2023)
Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He
Multi-level Feature Learning for Contrastive Multi-view Clustering. CVPR (2022)
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)
Yonghua Zhu, Junbo Ma, Changan Yuan, Xiaofeng Zhu
Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysis. Inf. Fusion 77 (2022)
Lingling Gao, Yanli Ji, Kumie Gedamu, Xiaofeng Zhu, Xing Xu, Heng Tao Shen
View-Invariant Human Action Recognition Via View Transformation Network (VTN). IEEE Trans. Multim. 24 (2022)
Chang-an Yuan, Yonghua Zhu, Zhi Zhong, Wei Zheng, Xiaofeng Zhu
Robust self-tuning multi-view clustering. World Wide Web 25 (2) (2022)
Yujie Mo, Yuhuan Chen, Liang Peng, Xiaoshuang Shi, Xiaofeng Zhu
Simple Self-supervised Multiplex Graph Representation Learning. ACM Multimedia (2022)
Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu
Simple Unsupervised Graph Representation Learning. AAAI (2022)
Yifeng Zhou, Xing Xu, Fumin Shen, Xiaofeng Zhu, Heng Tao Shen
Flow-Edge Guided Unsupervised Video Object Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32 (12) (2022)
Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Pengfei Zhu, Yue Gao
Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. AAAI (2022)
Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu
Information Augmentation for Few-shot Node Classification. IJCAI (2022)
Jiwei Wei, Yang Yang, Xing Xu, Xiaofeng Zhu, Heng Tao Shen
Universal Weighting Metric Learning for Cross-Modal Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Tingsong Xiao, Lu Zeng, Xiaoshuang Shi, Xiaofeng Zhu, Guorong Wu
Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis. MICCAI (8) (2022)
Zhao Kang, Zhiping Lin, Xiaofeng Zhu, Wenbo Xu
Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview. IEEE Trans. Cybern. 52 (9) (2022)
Zheng Wang, Yang Yang, Jingjing Li, Xiaofeng Zhu
Universal adversarial perturbations generative network. World Wide Web 25 (4) (2022)
Xiaofeng Zhu, Jianye Yang, Chengyuan Zhang, Shichao Zhang
Efficient Utilization of Missing Data in Cost-Sensitive Learning. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Chengyuan Zhang, Jiayu Song, Xiaofeng Zhu, Lei Zhu, Shichao Zhang
HCMSL: Hybrid Cross-modal Similarity Learning for Cross-modal Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 17 (1s) (2021)
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, Hongming Li, Heng Tao Shen, Zheng Zhang, Yanli Ji, Yong Fan
Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks. Inf. Fusion 75 (2021)
Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering. ICCV (2021)
Xiaofeng Zhu, Kim-Han Thung, Minjeong Kim
Privacy-preserving Multimedia Data Analysis. Comput. J. 64 (7) (2021)
Heng Tao Shen, Yonghua Zhu, Wei Zheng, Xiaofeng Zhu
Half-Quadratic Minimization for Unsupervised Feature Selection on Incomplete Data. IEEE Trans. Neural Networks Learn. Syst. 32 (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. Medical Image Anal. 67 (2021)
Jingran Zhang, Xing Xu, Fumin Shen, Yazhou Yao, Jie Shao, Xiaofeng Zhu
Video Representation Learning with Graph Contrastive Augmentation. ACM Multimedia (2021)
Heng Tao Shen, Xiaofeng Zhu, Zheng Zhang, Shui-Hua Wang, Yi Chen, Xing Xu, Jie Shao
Heterogeneous data fusion for predicting mild cognitive impairment conversion. Inf. Fusion 66 (2021)
Zheng Zhang, Xiaofeng Zhu, Guangming Lu, Yudong Zhang
Probability Ordinal-Preserving Semantic Hashing for Large-Scale Image Retrieval. ACM Trans. Knowl. Discov. Data 15 (3) (2021)
Ma Shuo, Yanli Ji, Xing Xu, Xiaofeng Zhu
Vision-guided Music Source Separation via a Fine-grained Cycle-Separation Network. ACM Multimedia (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)
Defu Yang, Xiaofeng Zhu, Chenggang Yan, Zi-Wen Peng, Maria Bagonis, Paul J. Laurienti, Martin Styner, Guorong Wu
Joint hub identification for brain networks by multivariate graph inference. Medical Image Anal. 73 (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)
Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Daniel Kaufer, Guorong Wu
Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data. Medical Image Anal. 67 (2021)
Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Yonggang Li, Guangquan Lu, Yang Yang
Sparse Graph Connectivity for Image Segmentation. ACM Trans. Knowl. Discov. Data 14 (4) (2020)
Liangliang Liu, Shaowu Chen, Xiaofeng Zhu, Xing-Ming Zhao, Fang-Xiang Wu, Jianxin Wang
Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities. Neurocomputing 384 (2020)
Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Wei Zheng, Yang Yang
Self-weighted Multi-view Fuzzy Clustering. ACM Trans. Knowl. Discov. Data 14 (4) (2020)
Xiaofeng Zhu, Yonghua Zhu, Wei Zheng
Spectral rotation for deep one-step clustering. Pattern Recognit. 105 (2020)
Xiaofeng Zhu, Jiangzhang Gan, Guangquan Lu, Jiaye Li, Shichao Zhang
Spectral clustering via half-quadratic optimization. World Wide Web 23 (3) (2020)
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)
Jiwei Wei, Yang Yang, Xing Xu, Yanli Ji, Xiaofeng Zhu, Heng Tao Shen
Graph-based variational auto-encoder for generalized zero-shot learning. MMAsia (2020)
Xiaofeng Zhu, Shuo Shang, Minjeong Kim
Privacy-preserving representation learning for big data. Neurocomputing 406 (2020)
Wei Zheng, Xiaofeng Zhu, Guoqiu Wen, Yonghua Zhu, Hao Yu, Jiangzhang Gan
Unsupervised feature selection by self-paced learning regularization. Pattern Recognit. Lett. 132 (2020)
Xiaofeng Zhu, Chong-Yaw Wee, Minjeong Kim
Deep understanding of big multimedia data. Neural Comput. Appl. 32 (11) (2020)
Ruili Wang, Jian Weng, Xiaofeng Zhu
Deep understanding of big multimedia data. Neurocomputing 391 (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)
Lei Zhu, Jiayu Song, Xiaofeng Zhu, Chengyuan Zhang, Shichao Zhang, Xinpan Yuan, Yang Wang
Adversarial Learning-Based Semantic Correlation Representation for Cross-Modal Retrieval. IEEE Multim. 27 (4) (2020)
Junbo Ma, Xiaofeng Zhu, Defu Yang, Jiazhou Chen, Guorong Wu
Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease Analysis. MICCAI (7) (2020)
Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification. World Wide Web 22 (2) (2019)
Jialin Peng, Xiaofeng Zhu, Ye Wang, Le An, Dinggang Shen
Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis. Pattern Recognit. 88 (2019)
Xiaofeng Zhu
Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information. IJCAI (2019)
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, Heung-Il Suk, Dinggang Shen
Group sparse reduced rank regression for neuroimaging genetic study. World Wide Web 22 (2) (2019)
Tong Liu, Jingting Zhu, Jukai Zhou, Yongxin Zhu, Xiaofeng Zhu
Initialization-similarity clustering algorithm. Multim. Tools Appl. 78 (23) (2019)
Minjeong Kim, Xiaofeng Zhu, Zi-Wen Peng, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu
Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network. MICCAI (3) (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)
Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Seong-Whan Lee, Dinggang Shen
Strength and similarity guided group-level brain functional network construction for MCI diagnosis. Pattern Recognit. 88 (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiaofeng Zhu