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Xiaofeng Zhu 0001
Person information
- affiliation: University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
- affiliation (former): Massey University, Institute of Natural and Mathematical Sciences, Auckland, New Zealand
- affiliation (former): Guangxi Normal University, Guangxi Key Lab of Multi-source Information Mining and Security, Guilin, China
- affiliation (former): University of Pennsylvania, Perelman School of Medicine, Department of Radiology, Philadelphia, PA, USA
- affiliation (former): University of North Carolina, Department of Radiology and BRIC, Chapel Hill, NC, USA
- affiliation: Xi'an Jiaotong University, School of Mathematics and Statistics, Xi'an, China
- affiliation (PhD 2013): University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, Australia
- affiliation (former): Guangxi Normal University, Department of Computer Science, Guilin, China
Other persons with the same name
- Xiaofeng Zhu — disambiguation page
- Xiaofeng Zhu 0002 — Southeast University, School of Electrical Engineering, Nanjing, China
- Xiaofeng Zhu 0003 — Case Western Reserve University, Department of Population and Quantitative Health Sciences, Cleveland, OH, USA
- Xiaofeng Zhu 0004 — Northwestern University, Evanston, IL, USA
- Xiaofeng Zhu 0005 — Jiangsu University, Faculty of Science, Zhenjiang, China
- Xiaofeng Zhu 0006 — Northeastern University, Boston, MA, USA
- Xiaofeng Zhu 0008 — Beijing Municipal Institute of Labour Protection, China
- Xiaofeng Zhu 0009 — Beijing Institute of Graphic Communication, China
- Xiaofeng Zhu 0010 — Shanghai University of Engineering Science, Advanced Vocational Technical College, China
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2020 – today
- 2025
- [j110]Yujie Mo, Heng Tao Shen, Xiaofeng Zhu:
Unsupervised multi-view graph representation learning with dual weight-net. Inf. Fusion 114: 102669 (2025) - [j109]Rui Wang, Xiaoshuang Shi, Shuting Pang, Yidi Chen, Xiaofeng Zhu, Wentao Wang, Jiabin Cai, Danjun Song, Kang Li:
Cross-attention guided loss-based deep dual-branch fusion network for liver tumor classification. Inf. Fusion 114: 102713 (2025) - [j108]Yujie Mo, Heng Tao Shen, Xiaofeng Zhu:
Efficient self-supervised heterogeneous graph representation learning with reconstruction. Inf. Fusion 117: 102846 (2025) - 2024
- [j107]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: 102357 (2024) - [j106]Zhengyu Lu, Junbo Ma, Zongqian Wu, Bo Zhou, Xiaofeng Zhu:
A noise-resistant graph neural network by semi-supervised contrastive learning. Inf. Sci. 658: 120001 (2024) - [j105]Zongqian Wu, Peng Zhou, Junbo Ma, Jilian Zhang, Guoqin Yuan, Xiaofeng Zhu:
Graph augmentation for node-level few-shot learning. Knowl. Based Syst. 297: 111872 (2024) - [j104]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: 103225 (2024) - [j103]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: 110450 (2024) - [j102]Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Xiaofeng Zhu, Qing Li:
FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36(10): 5153-5167 (2024) - [j101]Xin Liang, Yanli Ji, Wei-Shi Zheng, Wangmeng Zuo, Xiaofeng Zhu:
SV-Learner: Support-Vector Contrastive Learning for Robust Learning With Noisy Labels. IEEE Trans. Knowl. Data Eng. 36(10): 5409-5422 (2024) - [j100]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) - [j99]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) - [j98]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): 8609-8622 (2024) - [c96]Zongqian Wu, Yujie Mo, Peng Zhou, Shangbo Yuan, Xiaofeng Zhu:
Self-Training Based Few-Shot Node Classification by Knowledge Distillation. AAAI 2024: 15988-15995 - [c95]Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. CVPR 2024: 8890-8899 - [c94]Jie Xu, Yazhou Ren, Xiaolong Wang, Lei Feng, Zheng Zhang, Gang Niu, Xiaofeng Zhu:
Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios. CVPR 2024: 22957-22966 - [c93]Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Xiaoshuang Shi, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu:
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. EMNLP (Findings) 2024: 6886-6898 - [c92]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 - [c91]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 - [c90]Xiaolong Wang, Ping Hu, Rongyao Hu, Xiaofeng Zhu:
GATrack: Group-Aware features for multiple object tracking. ICME 2024: 1-6 - [c89]Jincheng Huang, Jialie Shen, Xiaoshuang Shi, Xiaofeng Zhu:
On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective. ICML 2024 - [c88]Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu:
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation. IJCAI 2024: 1643-1651 - [c87]Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu:
Exploring the Role of Node Diversity in Directed Graph Representation Learning. IJCAI 2024: 2072-2080 - [c86]Yudi Huang, Yujie Mo, Yujing Liu, Ci Nie, Guoqiu Wen, Xiaofeng Zhu:
Multiplex Graph Representation Learning via Bi-level Optimization. IJCAI 2024: 2081-2089 - [c85]Caixuan Luo, Jie Xu, Yazhou Ren, Junbo Ma, Xiaofeng Zhu:
Simple Contrastive Multi-View Clustering with Data-Level Fusion. IJCAI 2024: 4697-4705 - [c84]Weiheng Fu, Meilan Xu, Jie Wu, Xiaoshuang Shi, Kang Li, Xiaofeng Zhu:
Knowledge Distillation Based Dual-Branch Network for Whole Slide Image Analysis. MLMI@MICCAI (1) 2024: 392-401 - [c83]Jin Sun, Xiaoshuang Shi, Zhiyuan Wang, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu:
Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation. ACM Multimedia 2024: 7123-7132 - [c82]Zongqian Wu, Yujing Liu, Mengmeng Zhan, Ping Hu, Xiaofeng Zhu:
Adaptive Multi-Modality Prompt Learning. ACM Multimedia 2024: 8672-8680 - [i27]Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Ping Hu, Xiaofeng Zhu:
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation. CoRR abs/2404.17875 (2024) - [i26]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 abs/2407.00499 (2024) - [i25]Xiaorui Sun, Jun Liu, Heng Tao Shen, Xiaofeng Zhu, Ping Hu:
On Efficient Variants of Segment Anything Model: A Survey. CoRR abs/2410.04960 (2024) - [i24]Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang:
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters. CoRR abs/2411.01155 (2024) - [i23]Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng Zhu:
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network. CoRR abs/2411.02279 (2024) - [i22]Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang:
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective. CoRR abs/2412.00742 (2024) - 2023
- [j97]Long Chen, Chang-An Yuan, Xiao Qin, Wei Sun, Xiaofeng Zhu:
Contrastive structure and texture fusion for image inpainting. Neurocomputing 536: 1-12 (2023) - [j96]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: 327-337 (2023) - [j95]Jie Xu, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu:
UNTIE: Clustering analysis with disentanglement in multi-view information fusion. Inf. Fusion 100: 101937 (2023) - [j94]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: 102890 (2023) - [j93]Xiaoshuang Shi, Zhenhua Guo, Kang Li, Yun Liang, Xiaofeng Zhu:
Self-paced resistance learning against overfitting on noisy labels. Pattern Recognit. 134: 109080 (2023) - [j92]Guolin Zhang, Zehui Hu, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu:
Dynamic graph convolutional networks by semi-supervised contrastive learning. Pattern Recognit. 139: 109486 (2023) - [j91]Zhao Kang, Hongfei Liu, Jiangxin Li, Xiaofeng Zhu, Ling Tian:
Self-paced principal component analysis. Pattern Recognit. 142: 109692 (2023) - [j90]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): 15-25 (2023) - [j89]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: 1354-1366 (2023) - [j88]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): 12814-12827 (2023) - [j87]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): 391-402 (2023) - [j86]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): 2032-2043 (2023) - [j85]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): 5112-5121 (2023) - [c81]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: 8791-8798 - [c80]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: 9217-9225 - [c79]Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu:
Disentangled Multiplex Graph Representation Learning. ICML 2023: 24983-25005 - [c78]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: 36804-36820 - [c77]Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu:
Totally Dynamic Hypergraph Neural Networks. IJCAI 2023: 2476-2483 - [c76]Xuan Chen, Weiheng Fu, Tian Li, Xiaoshuang Shi, Hengtao Shen, Xiaofeng Zhu:
Co-assistant Networks for Label Correction. MICCAI (3) 2023: 159-168 - [c75]Liang Peng, Xin Wang, Xiaofeng Zhu:
Unsupervised Multiplex Graph learning with Complementary and Consistent Information. ACM Multimedia 2023: 454-462 - [c74]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: 2946-2954 - [c73]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: 3498-3506 - [c72]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 - [i21]Zhenqian Wu, Xiaoyuan Li, Yazhou Ren, Xiaorong Pu, Xiaofeng Zhu, Lifang He:
Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition. CoRR abs/2303.11840 (2023) - [i20]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 abs/2303.17245 (2023) - [i19]Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Xiaofeng Zhu, Qing Li:
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy. CoRR abs/2305.06360 (2023) - [i18]Jin Sun, Xiaoshuang Shi, Zhiyuan Weng, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu:
Using Caterpillar to Nibble Small-Scale Images. CoRR abs/2305.17644 (2023) - [i17]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 abs/2305.18355 (2023) - [i16]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 abs/2306.11343 (2023) - [i15]Liang Peng, Xin Wang, Xiaofeng Zhu:
Unsupervised Multiplex Graph Learning with Complementary and Consistent Information. CoRR abs/2308.01606 (2023) - [i14]Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Xiaofeng Zhu, Qing Li:
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning. CoRR abs/2309.10283 (2023) - [i13]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 abs/2309.13697 (2023) - [i12]Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
ACT: Adversarial Consistency Models. CoRR abs/2311.14097 (2023) - [i11]Zongqian Wu, Yujing Liu, Mengmeng Zhan, Jialie Shen, Ping Hu, Xiaofeng Zhu:
Adaptive Multi-Modality Prompt Learning. CoRR abs/2312.00823 (2023) - [i10]Liang Peng, Songyue Cai, Zongqian Wu, Huifang Shang, Xiaofeng Zhu, Xiaoxiao Li:
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning. CoRR abs/2312.14574 (2023) - 2022
- [j84]Yonghua Zhu, Junbo Ma, Changan Yuan, Xiaofeng Zhu:
Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysis. Inf. Fusion 77: 53-61 (2022) - [j83]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) - [j82]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): 6534-6545 (2022) - [j81]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): 8116-8127 (2022) - [j80]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): 8976-8986 (2022) - [j79]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): 3016-3028 (2022) - [j78]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: 4493-4503 (2022) - [j77]Chang-an Yuan, Yonghua Zhu, Zhi Zhong, Wei Zheng, Xiaofeng Zhu:
Robust self-tuning multi-view clustering. World Wide Web 25(2): 489-512 (2022) - [j76]Zheng Wang, Yang Yang, Jingjing Li, Xiaofeng Zhu:
Universal adversarial perturbations generative network. World Wide Web 25(4): 1725-1746 (2022) - [c71]Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu:
Simple Unsupervised Graph Representation Learning. AAAI 2022: 7797-7805 - [c70]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: 8761-8769 - [c69]Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He:
Multi-level Feature Learning for Contrastive Multi-view Clustering. CVPR 2022: 16030-16039 - [c68]Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu:
Multi-view Unsupervised Graph Representation Learning. IJCAI 2022: 2987-2993 - [c67]Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu:
Information Augmentation for Few-shot Node Classification. IJCAI 2022: 3601-3607 - [c66]Tingsong Xiao, Lu Zeng, Xiaoshuang Shi, Xiaofeng Zhu, Guorong Wu:
Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis. MICCAI (8) 2022: 406-415 - [c65]Yujie Mo, Yuhuan Chen, Liang Peng, Xiaoshuang Shi, Xiaofeng Zhu:
Simple Self-supervised Multiplex Graph Representation Learning. ACM Multimedia 2022: 3301-3309 - [c64]Rongyao Hu, Liang Peng, Jiangzhang Gan, Xiaoshuang Shi, Xiaofeng Zhu:
Complementary Graph Representation Learning for Functional Neuroimaging Identification. ACM Multimedia 2022: 3385-3393 - [i9]Liang Peng, Nan Wang, Jie Xu, Xiaofeng Zhu, Xiaoxiao Li:
GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis. CoRR abs/2203.09034 (2022) - 2021
- [j75]Xiaofeng Zhu, Kim-Han Thung, Minjeong Kim:
Privacy-preserving Multimedia Data Analysis. Comput. J. 64(7): 991-992 (2021) - [j74]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: 54-63 (2021) - [j73]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: 131-139 (2021) - [j72]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) - [j71]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) - [j70]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: 101825 (2021) - [j69]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) - [j68]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: 102162 (2021) - [j67]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): 37:1-37:22 (2021) - [j66]Xiaofeng Zhu, Jianye Yang, Chengyuan Zhang, Shichao Zhang:
Efficient Utilization of Missing Data in Cost-Sensitive Learning. IEEE Trans. Knowl. Data Eng. 33(6): 2425-2436 (2021) - [j65]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) - [j64]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): 3122-3135 (2021) - [j63]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): 2:1-2:22 (2021) - [c63]Rongyao Hu, Zhenyun Deng, Xiaofeng Zhu:
Multi-scale Graph Fusion for Co-saliency Detection. AAAI 2021: 7789-7796 - [c62]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: 9214-9223 - [c61]Jingran Zhang, Xing Xu, Fumin Shen, Yazhou Yao, Jie Shao, Xiaofeng Zhu:
Video Representation Learning with Graph Contrastive Augmentation. ACM Multimedia 2021: 3043-3051 - [c60]Shuo Ma, Yanli Ji, Xing Xu, Xiaofeng Zhu:
Vision-guided Music Source Separation via a Fine-grained Cycle-Separation Network. ACM Multimedia 2021: 4202-4210 - [i8]Zhao Kang, Zhiping Lin, Xiaofeng Zhu, Wenbo Xu:
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view. CoRR abs/2102.07943 (2021) - [i7]Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Xiaofeng Zhu:
Self-paced Resistance Learning against Overfitting on Noisy Labels. CoRR abs/2105.03059 (2021) - [i6]Jie Xu, Huayi Tang, Yazhou Ren, Xiaofeng Zhu, Lifang He:
Contrastive Multi-Modal Clustering. CoRR abs/2106.11193 (2021) - [i5]Zhao Kang, Hongfei Liu, Jiangxin Li, Xiaofeng Zhu, Ling Tian:
Self-paced Principal Component Analysis. CoRR abs/2106.13880 (2021) - [i4]