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ORCIDXiaofeng 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
![[0000-0002-1185-0794]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1185-0794")
— 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
- 2023
[j90]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)- [j89]Xiaoshuang Shi, Zhenhua Guo, Kang Li, Yun Liang, Xiaofeng Zhu:
Self-paced resistance learning against overfitting on noisy labels. Pattern Recognit. 134: 109080 (2023) - [j88]Guolin Zhang, Zehui Hu, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu:
Dynamic graph convolutional networks by semi-supervised contrastive learning. Pattern Recognit. 139: 109486 (2023) - [j87]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) - [j86]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) - [j85]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) - [i12]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) - [i11]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) - 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 - [i10]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]Ma Shuo, Yanli Ji, Xing Xu, Xiaofeng Zhu:
Vision-guided Music Source Separation via a Fine-grained Cycle-Separation Network. ACM Multimedia 2021: 4202-4210 - [i9]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) - [i8]Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Xiaofeng Zhu:
Self-paced Resistance Learning against Overfitting on Noisy Labels. CoRR abs/2105.03059 (2021) - [i7]Jie Xu, Huayi Tang, Yazhou Ren, Xiaofeng Zhu, Lifang He:
Contrastive Multi-Modal Clustering. CoRR abs/2106.11193 (2021) - [i6]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. CoRR abs/2106.11232 (2021) - [i5]Zhao Kang, Hongfei Liu, Jiangxin Li, Xiaofeng Zhu, Ling Tian:
Self-paced Principal Component Analysis. CoRR abs/2106.13880 (2021) - [i4]Liang Peng, Nan Wang, Nicha C. Dvornek, Xiaofeng Zhu, Xiaoxiao Li:
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction. CoRR abs/2112.10166 (2021) - 2020
- [j62]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): 79-90 (2020) - [j61]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: 231-242 (2020) - [j60]Ruili Wang, Jian Weng, Xiaofeng Zhu:
Deep understanding of big multimedia data. Neurocomputing 391: 189-190 (2020) - [j59]Xiaofeng Zhu, Shuo Shang, Minjeong Kim:
Privacy-preserving representation learning for big data. Neurocomputing 406: 293-294 (2020) - [j58]Xiaofeng Zhu, Chong-Yaw Wee, Minjeong Kim:
Deep understanding of big multimedia data. Neural Comput. Appl. 32(11): 6417-6419 (2020) - [j57]Xiaofeng Zhu, Yonghua Zhu, Wei Zheng:
Spectral rotation for deep one-step clustering. Pattern Recognit. 105: 107175 (2020) - [j56]Wei Zheng, Xiaofeng Zhu, Guoqiu Wen, Yonghua Zhu, Hao Yu, Jiangzhang Gan:
Unsupervised feature selection by self-paced learning regularization. Pattern Recognit. Lett. 132: 4-11 (2020) - [j55]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): 46:1-46:19 (2020) - [j54]Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Wei Zheng, Yang Yang:
Self-weighted Multi-view Fuzzy Clustering. ACM Trans. Knowl. Discov. Data 14(4): 48:1-48:17 (2020) - [j53]Rongyao Hu, Xiaofeng Zhu, Yonghua Zhu, Jiangzhang Gan:
Robust SVM with adaptive graph learning. World Wide Web 23(3): 1945-1968 (2020) - [j52]Xiaofeng Zhu, Jiangzhang Gan, Guangquan Lu, Jiaye Li, Shichao Zhang:
Spectral clustering via half-quadratic optimization. World Wide Web 23(3): 1969-1988 (2020) - [c59]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 - [c58]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: 387-396 - [c57]Liang Peng, Yang Yang, Xing Xu, Jingjing Li, Xiaofeng Zhu:
Multi-level expression guided attention network for referring expression comprehension. MMAsia 2020: 17:1-17:7 - [c56]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: 30:1-30:7 - [i3]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
- [j51]Tao Tong, Xiaofeng Zhu, Tingting Du:
Connected graph decomposition for spectral clustering. Multim. Tools Appl. 78(23): 33247-33259 (2019) - [j50]Tong Liu, Jingting Zhu, Jukai Zhou, Yongxin Zhu, Xiaofeng Zhu:
Initialization-similarity clustering algorithm. Multim. Tools Appl. 78(23): 33279-33296 (2019) - [j49]Jialin Peng, Xiaofeng Zhu, Ye Wang, Le An, Dinggang Shen:
Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis. Pattern Recognit. 88: 370-382 (2019) - [j48]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: 421-430 (2019) - [j47]Xiaofeng Zhu, Shichao Zhang, Yonggang Li, Jilian Zhang, Lifeng Yang, Yue Fang:
Low-Rank Sparse Subspace for Spectral Clustering. IEEE Trans. Knowl. Data Eng. 31(8): 1532-1543 (2019) - [j46]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) - [j45]Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Daniel Kaufer, Guorong Wu:
Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases. IEEE Trans. Medical Imaging 38(2): 608-616 (2019) - [j44]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) - [j43]Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen:
Group sparse reduced rank regression for neuroimaging genetic study. World Wide Web 22(2): 673-688 (2019) - [j42]Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen:
Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification. World Wide Web 22(2): 907-925 (2019) - [c55]Xiaofeng Zhu:
Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information. IJCAI 2019: 4475-4481 - [c54]Xiaofeng Zhu, Dinggang Shen:
Robust and Discriminative Brain Genome Association Study. MICCAI (4) 2019: 456-464 - [c53]Defu Yang, Chenggang Yan, Feiping Nie, Xiaofeng Zhu, Md Asadullah Turja, Leo Charles Peek Zsembik, Martin Styner, Guorong Wu:
Joint Identification of Network Hub Nodes by Multivariate Graph Inference. MICCAI (3) 2019: 590-598 - [c52]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: 727-735 - [e1]Jingkuan Song, Xiaofeng Zhu:
Web and Big Data - APWeb-WAIM 2019 International Workshops, KGMA and DSEA, Chengdu, China, August 1-3, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11809, Springer 2019, ISBN 978-3-030-33981-4 [contents] - [i2]Yongqing Huo, Xiaofeng Zhu:
High dynamic range image forensics using cnn. CoRR abs/1902.10938 (2019) - 2018
- [j41]Cong Lei, Xiaofeng Zhu:
Unsupervised feature selection via local structure learning and sparse learning. Multim. Tools Appl. 77(22): 29605-29622 (2018) - [j40]Lin Wu, Xiaofeng Zhu, Tao Tong:
Global and local clustering with kNN and local PCA. Multim. Tools Appl. 77(22): 29727-29738 (2018) - [j39]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) - [j38]Xiaofeng Zhu, Weihong Zhang, Yong Fan:
A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis. Neuroinformatics 16(3-4): 351-361 (2018) - [j37]Jingkuan Song, Lianli Gao, Li Liu, Xiaofeng Zhu, Nicu Sebe:
Quantization-based hashing: a general framework for scalable image and video retrieval. Pattern Recognit. 75: 175-187 (2018) - [j36]Xiaofeng Zhu, Jie Shao, Jilian Zhang:
Pattern discovery from multi-source data. Pattern Recognit. Lett. 109: 1-3 (2018) - [j35]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) - [j34]Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Ruili Wang:
Efficient kNN Classification With Different Numbers of Nearest Neighbors. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1774-1785 (2018) - [j33]Xiaofeng Zhu, Gerard Sanroma, Jilian Zhang, Brent C. Munsell:
Editorial: Deep Mining Big Social Data. World Wide Web 21(6): 1449-1452 (2018) - [c51]Xiaofeng Zhu, Hongming Li, Yong Fan:
Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity. AAAI 2018: 2660-2668 - [c50]Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang:
Robust Feature Selection on Incomplete Data. IJCAI 2018: 3191-3197 - [c49]Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang:
Robust Graph Dimensionality Reduction. IJCAI 2018: 3257-3263 - [c48]Yonghua Zhu, Xiaofeng Zhu, Wei Zheng:
Robust Multi-view Learning via Half-quadratic Minimization. IJCAI 2018: 3278-3284 - [c47]Hongming Li, Xiaofeng Zhu, Yong Fan:
Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization. MICCAI (3) 2018: 223-231 - [r1]Xiaofeng Zhu:
Multimedia Tagging. Encyclopedia of Database Systems (2nd ed.) 2018 - [i1]Hongming Li, Xiaofeng Zhu, Yong Fan:
Identification of multi-scale hierarchical brain functional networks using deep matrix factorization. CoRR abs/1809.05557 (2018) - 2017
- [j32]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) - [j31]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) - [j30]Xiaofeng Zhu, Xudong Luo, Chen Xu:
Editorial learning for multimodal data. Neurocomputing 253: 1-5 (2017) - [j29]Xiaofeng Zhu, Heung-Il Suk, Li Wang, Seong-Whan Lee, Dinggang Shen:
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis. Medical Image Anal. 38: 205-214 (2017) - [j28]Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent C. Munsell, Guorong Wu:
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning. Medical Image Anal. 39: 218-230 (2017) - [j27]Xiaofeng Zhu, Zhi Jin, Rongrong Ji:
Learning high-dimensional multimedia data. Multim. Syst. 23(3): 281-283 (2017) - [j26]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) - [j25]Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen:
Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers. IEEE Trans. Big Data 3(4): 405-414 (2017) - [j24]Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Debo Cheng:
Learning k for kNN Classification. ACM Trans. Intell. Syst. Technol. 8(3): 43:1-43:19 (2017) - [j23]Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Zongben Xu, Litao Yu, Can Wang:
Graph PCA Hashing for Similarity Search. IEEE Trans. Multim. 19(9): 2033-2044 (2017) - [j22]Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Chunhua Ju, Xindong Wu:
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1263-1275 (2017) - [c46]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 - [c45]Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He:
Adaptive Hypergraph Learning for Unsupervised Feature Selection. IJCAI 2017: 3581-3587 - [c44]