教育经历

在研项目

代表性论文

期刊论文

• Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Yonggang Li, Guangquan Lu, and Yang Yang. 2020. Sparse Graph Connectivity for Image Segmentation. ACM Transactions on Knowledge Discovery in Data, 14, 4, Article 46, https://doi.org/10.1145/3397188
• Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Wei Zheng, Yang Yang: Self-weighted Multi-view Fuzzy Clustering, ACM Transactions on Knowledge Discovery in Data, http://dx.doi.org/10.1145/3396238, 2020.
• Xiaofeng Zhu, Yonghua Zhu, Wei Zheng, Spectral Rotation for Deep One-Step Clustering, Pattern Recognition, 2019, doi.org/10.1016/j.patcog.2019.107175
• Xiaofeng Zhu, Jianye Yang, Chengyuan Zhang, Shichao Zhang, Efficient Utilization of Missing Data in Cost-Sensitive Learning, IEEE Transactions on Knowledge and Data Engineering, 2019, 10.1109/TKDE.2019.2956530
• Xiaofeng Zhu, S Zhang, R Hu, W He, C Lei, P Zhu, One-step multi-view spectral clustering, IEEE Transactions on Knowledge and Data Engineering, DOI: 10.1109/TKDE.2018.2873378, 2019
• Xiaofeng Zhu, S Zhang, Y Li, J Zhang, L Yang, Y Fang, Low-rank sparse subspace for spectral clustering, IEEE Transactions on Knowledge and Data Engineering, 31(8): 1532-1543, 2019
• Xiaofeng Zhu, Shichao Zhang, Rongyao Hu, Yonghua Zhu: Local and global structure preservation for robust unsupervised spectral feature selection, IEEE Transactions on Knowledge and Data Engineering 30 (3), 517-529, 2018
• Shichao Zhang, Xuelong Li, Ming Zong, X. Zhu*, and Ruili Wang "Efficient kNN Classification with Different Numbers of Nearest Neighbors", IEEE Transactions on Neural Networks and Learning Systems, accepted, 2017 (PDF) ( code)
• Shichao Zhang, Xuelong Li, Ming Zong, X. Zhu*, and Debo Cheng, “Learning k for kNN Classification”, ACM Transactions on Intelligent Systems and Technology, 8 (3), 43 , 2017. (PDF) (code)
• Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Chunhua Ju, Xidong Wu: Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection, IEEE Transactions on Neural Networks and Learning Systems, 26 (6), 1263 - 1275, (2017) (code)
• Xiaofeng Zhu, Hueng-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 Analysis, 38: 205-214, (2017) (PDF) (code)
• Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Zongben Xu, Litao Yu, and Can Wang, Graph PCA Hashing for similarity search, IEEE Transactions on Multimedia, 19(9):2033-2044, 2017.
• Xiaofeng Zhu, Heung-Il Suk, Seong-Whan Lee, and Dinggang Shen: Subspace Regularized Sparse Multi-Task Learning for Multi-Class Neurodegenerative Disease Identification, IEEE Transactions on Biomedical Engineering, 63(3):607-618, (2016) (PDF) (code)
• Xiaofeng Zhu, Xuelong Li, and Shichao Zhang: Block-Row Sparse Multiview Multilabel Learning for Image Classification, IEEE Transactions on Cybernetics, 46(2): 450-461, (2016) (PDF) (code)
• Xiaofeng Zhu, Lei Zhang and Zi Huang: A Sparse Embedding and Least Variance Encoding Approach to Hashing, IEEE Transactions on Image Processing, 23(9): 3737-3750, (2014) (PDF) (code)
• Xiaofeng Zhu, Heung-Il Suk, and Dinggang Shen: A Novel Matrix-Similarity Based Loss Function for Joint Regression and Classification in AD Diagnosis. Neuroimage, 100: 91-105, (2014) (PDF) (code)
• Xiaofeng Zhu, Zi Huang, Hong Cheng, Jiangtao Cui, and Heng Tao Shen. Sparse Hashing for Fast Multimedia Search. ACM Transactions on Information Systems, 31(2):9, (2013) (PDF)
• Xiaofeng Zhu, Zi Huang, Jiangtao Cui, Heng Tao Shen: Video-to-Shot Tag Propagation by Graph Sparse Group Lasso. IEEE Transactions on Multimedia, 15(3):633-646, (2013) (PDF)
• Xiaofeng Zhu, Zi Huang, Yang Yang, Heng Tao Shen, Changsheng Xu, and Jiebo Luo: Self-taught Dimensionality Reduction on the High-dimensional Small-sized Data. Pattern Recognition, 46(1): 215–229, (2013) (PDF)
• Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Jian Cheng and Chang sheng Xu: Dimensionality Reduction by Mixed Kernel Canonical Correlation Analysis, Pattern Recognition, 45(8):3003-3016, (2012) (PDF)
• Xiaofeng Zhu, Shichao Zhang, Zhi Jin, Zili Zhang, Zhuoming Xu: Missing Value Estimation for Mixed-Attribute Data Sets. IEEE Transactions on Knowledge and Data Engineering, 23(1): 110-121 (2011) (PDF)

会议论文

• Jiangzhang Gan, Xiaofeng Zhu*, et al.: Multi-graph Fusion for Functional Neuroimaging Biomarker Detection. IJCAI 2020: 4475-4481
• Xiaofeng Zhu: Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information. IJCAI 2019: 4475-4481
• Xiaofeng Zhu, Dinggang Shen， Robust and Discriminative Brain Genome Association Study，MICCAI，456-464，2019.
• Wei Zheng, Xiaofeng Zhu*, Yonghua Zhu, Shichao Zhang, Robust Feature selection on Incomplete Data, IJCAI 2018.
• Yonghua Zhu, Xiaofeng Zhu*, Wei Zheng, Robust Multi-view Learning via Half-quadratic Minimization, IJCAI 2018.
• Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang, Robust Graph Dimensionality Reduction, IJCAI 2018. (code)
• Xiaofeng Zhu, Hongming Li, Yong Fan: Parameter-free centralized multi-task learning for characterizing developmental sex differences in resting state functional connectivity, AAAI 2018.
• Xiaofeng Zhu, Kim-Han Thung, Ehsan Adeli, Yu Zhang, Dinggang Shen, “Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data”, MICCAI, 2017.
• Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, and Wei He, Adaptive Hypergraph Learning for Unsupervised Feature Selection, IJCAI, 2017.
• Xiaofeng Zhu, Wei He, Yonggang Li, Shichao Zhang, et al., One-step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace, AAAI, 2017
• Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen, “Structured Spare Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations”, MICCAI 2016. (PDF) (code)
• Xiaofeng Zhu, Heung-Il Suk, and Dinggang Shen: A Novel Multi-Relation Regularization Method for Regression and Classification in AD Diagnosis. MICCAI 2014.
• Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen: Multi-Modality Canonical Feature Selection for Alzheimer's Disease Diagnosis, MICCAI 2014.
• Xiaofeng Zhu, Heung-Il Suk, and Dinggang Shen: Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis, CVPR 2014.
• Xiaofeng Zhu, Zi Huang, Heng Tao Shen and Xin Zhao. Linear Cross-Modal Hashing for Effective Multimedia Search. ACM Multimedia 2013. (PDF)