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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
- 2024
- [j105]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) - [j104]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) - [j103]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) - [j102]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) - [j101]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) - [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) - [c83]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 - [c82]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 - [i20]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) - 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 - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]Liang Peng, Xin Wang, Xiaofeng Zhu:
Unsupervised Multiplex Graph Learning with Complementary and Consistent Information. CoRR abs/2308.01606 (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]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]Yingying Zhu, Xiaofeng Zhu
, Minjeong Kim, Daniel Kaufer, Guorong Wu:
A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases. IPMI 2017: 158-169 - [c43]Yingying Zhu, Xiaofeng Zhu
, Minjeong Kim, Jin Yan, Guorong Wu:
A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity. IPMI 2017: 398-410 - [c42]Qian Wang, Shaoyu Wang
, Xiaofeng Zhu
, Tianyi Liu
, Zachary Humphrey, Vladimir Ghukasyan, Mike Conway, Erik Scott, Giulia Fragola, Kira Bradford, Mark J. Zylka, Ashok K. Krishnamurthy, Jason L. Stein
, Guorong Wu:
Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network. Patch-MI@MICCAI 2017: 55-62 - [c41]Xiaofeng Zhu
, Kim-Han Thung, Ehsan Adeli
, Yu Zhang, Dinggang Shen:
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data. MICCAI (3) 2017: 72-80 - [c40]Tao Zhou, Kim-Han Thung, Xiaofeng Zhu
, Dinggang Shen:
Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis. MLMI@MICCAI 2017: 132-140 - [c39]Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu
, Xiaofeng Zhu
, Dinggang Shen:
Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis. MLMI@MICCAI 2017: 168-175 - [c38]Yingying Zhu, Minjeong Kim, Xiaofeng Zhu
, Jin Yan, Daniel Kaufer, Guorong Wu:
Personalized Diagnosis for Alzheimer's Disease. MICCAI (3) 2017: 205-213 - 2016
- [j21]Xiaofeng Zhu
, Feng Lu, Chen Xu, Rongrong Ji:
Learning for medical imaging. Neurocomputing 195: 1-5 (2016) - [j20]Wenjing Li, Yingzhou Bi, Xiaofeng Zhu
, Chang-an Yuan, Xiang-bo Zhang:
Hybrid swarm intelligent parallel algorithm research based on multi-core clusters. Microprocess. Microsystems 47: 151-160 (2016) - [j19]Xiaofeng Zhu
, Heung-Il Suk
, Seong-Whan Lee, Dinggang Shen:
Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification. IEEE Trans. Biomed. Eng. 63(3): 607-618 (2016) - [j18]Xiaofeng Zhu
, Xuelong Li
, Shichao Zhang:
Block-Row Sparse Multiview Multilabel Learning for Image Classification. IEEE Trans. Cybern. 46(2): 450-461 (2016) - [c37]Shichao Zhang, Lifeng Yang, Yonggang Li, Yan Luo, Xiaofeng Zhu
:
Low-Rank Feature Reduction and Sample Selection for Multi-output Regression. ADMA 2016: 126-141 - [c36]Wei He, Xiaofeng Zhu
, Yonggang Li, Rongyao Hu, Yonghua Zhu, Shichao Zhang:
Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints. ADMA 2016: 172-187 - [c35]Rongyao Hu, Xiaofeng Zhu
, Wei He, Jilian Zhang, Shichao Zhang:
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression. ADMA 2016: 700-713 - [c34]Jailin Peng, Le An, Xiaofeng Zhu
, Yan Jin, Dinggang Shen:
Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer's Disease Diagnosis. MICCAI (2) 2016: 70-78 - [c33]Xiaofeng Zhu
, Heung-Il Suk
, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen:
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis. MLMI@MICCAI 2016: 77-85 - [c32]Yingying Zhu, Xiaofeng Zhu
, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu:
Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification. MICCAI (1) 2016: 106-114 - [c31]Yingying Zhu, Xiaofeng Zhu
, Minjeong Kim, Dinggang Shen, Guorong Wu:
Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine. MICCAI (1) 2016: 264-272 - [c30]Zhengxia Wang, Xiaofeng Zhu
, Ehsan Adeli
, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu:
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease. MICCAI (1) 2016: 291-299 - [c29]Xiaofeng Zhu
, Kim-Han Thung, Jun Zhang, Dinggang Shen:
Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis. MLMI@MICCAI 2016: 313-321 - [c28]Xiaofeng Zhu
, Heung-Il Suk
, Heng Huang, Dinggang Shen:
Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations. MICCAI (1) 2016: 344-352 - 2015
- [j17]Xiaofeng Zhu
, Qing Xie
, Yonghua Zhu, Xingyi Liu, Shichao Zhang:
Multi-view multi-sparsity kernel reconstruction for multi-class image classification. Neurocomputing 169: 43-49 (2015) - [j16]Yang Yang, Zheng-Jun Zha
, Yue Gao, Xiaofeng Zhu
, Tat-Seng Chua:
Corrections to "Exploiting Web Images for Semantic Video Indexing Via Robust Sample-Specific Loss". IEEE Trans. Multim. 17(2): 256 (2015) - [c27]Gerard Sanroma, Oualid M. Benkarim
, Gemma Piella
, Guorong Wu, Xiaofeng Zhu
, Dinggang Shen, Miguel Ángel González Ballester:
Discriminative Dimensionality Reduction for Patch-Based Label Fusion. MLMMI@ICML 2015: 94-103 - [c26]Guorong Wu, Xiaofeng Zhu
, Qian Wang, Dinggang Shen:
Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image. Patch-MI@MICCAI 2015: 10-18 - [c25]Xiaofeng Zhu
, Heung-Il Suk
, Yonghua Zhu, Kim-Han Thung, Guorong Wu, Dinggang Shen:
Multi-view Classification for Identification of Alzheimer's Disease. MLMI 2015: 255-262 - [c24]Lianli Gao, Jingkuan Song, Junming Shao, Xiaofeng Zhu
, Heng Tao Shen:
Zero-shot Image Categorization by Image Correlation Exploration. ICMR 2015: 487-490 - 2014
- [j15]Xiaofeng Zhu
, Heung-Il Suk
, Dinggang Shen:
A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis. NeuroImage 100: 91-105 (2014) - [j14]Xiaofeng Zhu
, Lei Zhang
, Zi Huang
:
A Sparse Embedding and Least Variance Encoding Approach to Hashing. IEEE Trans. Image Process. 23(9): 3737-3750 (2014) - [j13]Yang Yang, Zheng-Jun Zha
, Yue Gao, Xiaofeng Zhu
, Tat-Seng Chua:
Exploiting Web Images for Semantic Video Indexing Via Robust Sample-Specific Loss. IEEE Trans. Multim. 16(6): 1677-1689 (2014) - [c23]Xiaofeng Zhu
, Heung-Il Suk
, Dinggang Shen:
Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis. CVPR 2014: 3089-3096 - [c22]Hongyun Cai, Zi Huang
, Xiaofeng Zhu
, Qing Zhang, Xuefei Li:
Multi-Output Regression with Tag Correlation Analysis for Effective Image Tagging. DASFAA (2) 2014: 31-46 - [c21]Xiaofeng Zhu, Heung-Il Suk
, Dinggang Shen:
Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification. MLMI 2014: 157-164 - [c20]Xiaofeng Zhu
, Heung-Il Suk
, Dinggang Shen:
Multi-modality Canonical Feature Selection for Alzheimer's Disease Diagnosis. MICCAI (2) 2014: 162-169 - [c19]Xiaofeng Zhu
, Heung-Il Suk
, Dinggang Shen:
A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis. MICCAI (3) 2014: 401-408 - 2013
- [j12]Xiaofeng Zhu
, Zi Huang
, Yang Yang, Heng Tao Shen, Changsheng Xu, Jiebo Luo
:
Self-taught dimensionality reduction on the high-dimensional small-sized data. Pattern Recognit. 46(1): 215-229 (2013) - [j11]Xiaofeng Zhu
, Zi Huang
, Jiangtao Cui, Heng Tao Shen:
Video-to-Shot Tag Propagation by Graph Sparse Group Lasso. IEEE Trans. Multim. 15(3): 633-646 (2013) - [j10]Xiaofeng Zhu
, Zi Huang
, Hong Cheng, Jiangtao Cui, Heng Tao Shen:
Sparse hashing for fast multimedia search. ACM Trans. Inf. Syst. 31(2): 9 (2013) - [c18]Xiaofeng Zhu
, Jilian Zhang, Shichao Zhang:
Mixed-Norm Regression for Visual Classification. ADMA (1) 2013: 265-276 - [c17]Jilian Zhang, Xiaofeng Zhu
, Xianxian Li, Shichao Zhang:
Mining Item Popularity for Recommender Systems. ADMA (2) 2013: 372-383 - [c16]Xin Zhao, Xue Li
, Chaoyi Pang, Xiaofeng Zhu
, Quan Z. Sheng
:
Online human gesture recognition from motion data streams. ACM Multimedia 2013: 23-32 - [c15]Xiaofeng Zhu
, Zi Huang
, Heng Tao Shen, Xin Zhao:
Linear cross-modal hashing for efficient multimedia search. ACM Multimedia 2013: 143-152 - [c14]Xiaofeng Zhu
, Zi Huang
, Xindong Wu:
Multi-View Visual Classification via a Mixed-Norm Regularizer. PAKDD (1) 2013: 520-531 - [c13]Wei Ding
, Xindong Wu, Shichao Zhang, Xiaofeng Zhu:
Feature Selection by Joint Graph Sparse Coding. SDM 2013: 803-811 - 2012
- [j9]Xiaofeng Zhu
, Zi Huang
, Heng Tao Shen, Jian Cheng, Changsheng Xu:
Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis. Pattern Recognit. 45(8): 3003-3016 (2012) - 2011
- [j8]Shichao Zhang, Zhi Jin, Xiaofeng Zhu
:
Missing data imputation by utilizing information within incomplete instances. J. Syst. Softw. 84(3): 452-459 (2011) - [j7]Xiaofeng Zhu
, Shichao Zhang, Zhi Jin, Zili Zhang, Zhuoming Xu
:
Missing Value Estimation for Mixed-Attribute Data Sets. IEEE Trans. Knowl. Data Eng. 23(1): 110-121 (2011) - [c12]Xiaofeng Zhu
, Zi Huang
, Heng Tao Shen:
Video-to-shot tag allocation by weighted sparse group lasso. ACM Multimedia 2011: 1501-1504 - [c11]Heng Tao Shen, Jie Shao, Zi Huang, Yang Yang, Jingkuan Song, Jiajun Liu, Xiaofeng Zhu:
UQMSG Experiments for TRECVID 2011. TRECVID 2011
2000 – 2009
- 2009
- [j6]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu
, Jilian Zhang, Chengqi Zhang
:
POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases. Expert Syst. Appl. 36(2): 2794-2804 (2009) - [j5]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu
, Jilian Zhang, Chengqi Zhang
:
Estimating confidence intervals for structural differences between contrast groups with missing data. Expert Syst. Appl. 36(3): 6431-6438 (2009) - [j4]Shichao Zhang, Zhi Jin, Xiaofeng Zhu
, Jilian Zhang:
Missing Data Analysis: A Kernel-Based Multi-Imputation Approach. Trans. Comput. Sci. 3: 122-142 (2009) - 2008
- [j3]Shichao Zhang, Zifang Huang, Jilian Zhang, Xiaofeng Zhu
:
Mining follow-up correlation patterns from time-related databases. Knowl. Inf. Syst. 14(1): 81-100 (2008) - [j2]Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Yongsong Qin, Chengqi Zhang
:
Missing Value Imputation Based on Data Clustering. Trans. Comput. Sci. 1: 128-138 (2008) - [c10]Shichao Zhang, Zhi Jin, Xiaofeng Zhu
:
NIIA: Nonparametric Iterative Imputation Algorithm. PRICAI 2008: 544-555 - 2007
- [j1]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu
, Jilian Zhang, Chengqi Zhang
:
Semi-parametric optimization for missing data imputation. Appl. Intell. 27(1): 79-88 (2007) - [c9]Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang:
Measuring the Uncertainty of Differences for Contrasting Groups. AAAI 2007: 1920-1921 - [c8]Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi Zhang:
Cost-Sensitive Imputing Missing Values with Ordering. AAAI 2007: 1922-1923 - [c7]Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
:
Cost-Time Sensitive Decision Tree with Missing Values. KSEM 2007: 447-459 - [c6]Chengqi Zhang
, Xiaofeng Zhu, Jilian Zhang, Yongsong Qin, Shichao Zhang:
GBKII: An Imputation Method for Missing Values. PAKDD 2007: 1080-1087 - 2006
- [c5]Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Kernel-Based Multi-Imputation for Missing Data. AMT 2006: 106-111 - [c4]Huijing Huang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Shichao Zhang:
Difference Detection Between Two Contrast Sets. DaWaK 2006: 481-490 - [c3]Shichao Zhang, Jilian Zhang, Xiaofeng Zhu
, Zifang Huang:
Identifying Follow-Correlation Itemset-Pairs. ICDM 2006: 765-774 - [c2]Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
:
Optimized Parameters for Missing Data Imputation. PRICAI 2006: 1010-1016 - 2005
- [c1]Ailing Ni, Xiaofeng Zhu, Chengqi Zhang
:
Any-Cost Discovery: Learning Optimal Classification Rules. Australian Conference on Artificial Intelligence 2005: 123-132
Coauthor Index
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