Short Biography:

• 2008.9 - 2012.6,  Information and Computing Science  at XJTU  ( Bachelor)
• 2012.9 - 2016.9,  Master-Doctor Combined Program in Applied Mathematics at XJTU, supervised by Zongben Xu.
• 2016.9 - 2017.9,  Visiting scholar in Data Science Institute and Electrical Engineering at Columbia University, supervised by  John Paisley.
• 2017.9 - 2018.6, Master-Doctor Combined Program in Applied Mathematics at XJTU
• 2018.6 - present, Post-doc Researcher in the School of Mathematics and Statistics at XJTU. 

Research Interest:

• Machine learning and Computer Vision. Current Topics: 
• Low-rank matrix factorization
• Probabilistic model and inference methods 
• Hyperspectral Image Denoising and Classification  
• Deep Learning and Network Analysis

Journal

[1] Xiangyong Cao, Qian Zhao, Deyu Meng, Yang Chen and Zongben Xu. Robust Low-rank Matrix Factorization under General Mixture Noise Distributions. IEEE Transactions on Image Processing, 2016.  

[2] Xiangyong Cao, Lin Xu, Deyu Meng, Qian Zhao, Zongben Xu. Integration of 3-Dimensional Discrete Wavelet Transform and Markov Random Field for Hyperspectral Image Classification. NeuroComputing, 2017. 

[3] Jing Yao, Xiangyong Cao*, Qian Zhao, Deyu Meng, Zongben Xu.Robust Subspace Clustering via Penalized Mixture of Gaussian. (*co-first author)  NeuroComputing, 2017. 

[4] Yang Chen, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu. Denoising Hyperspectral Image with Non-i.i.d Noise Structure. IEEE Transactions on Cybernetics, 2017. 

[5] Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John Paisley. Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network, IEEE Transactions on Image Processing, 2018.

[6] Xiangyong Cao,  Deyu Meng, Zongben Xu. Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature.  Remote Sensing, 2019.

Conference:

[1] Xiangyong Cao, Xiangyu Chang, and Zongben Xu. Community Detection for Clustered Attributed Graphs via a Variational EM Algorithm. Proceedings of the 2014 International Conference on Big Data Science and Computing, 2014. 

[2] Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, and Zongben Xu. Low-rank Matrix Factorization under General Mixture Noise Distributions. IEEE International Conference on Computer Vision (ICCV), 2015.  (Oral, Accept Rate 3.3%)

[3]  Xiangyu Chang, Xiangyong Cao, Dong Liang, Xiaoning Lu. Model-based clustering with nonconvex penalty.  IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2016. 

[4]  Haixia Bi, Lin Xu, Xiangyong Cao, Zongben Xu. Polsar Image Classification based on Three-Dimensional Wavelet Texture Features and Markov Random Field. IEEE International Geoscience and Remote Sensing Symposium (IGRSS), 2017. 

Submitted Manuscript:

[1]  Siqi Liu, Qian Zhao, Xiangyong Cao,  Deyu Meng, Zilu Ma, Tao Yu. Preliminary theoretical troubleshooting in Variational Autoencoder.  Submitted to Pattern Recognition.

[2]  Jiacheng Sun, Xiangyong Cao, et. al. Some New Interpretations of Normalization Methods.  Submitted to NeurIPS 2019.

[3]  Lin Xu, Xiangyong Cao, Xia Liu, Yi Fang, Orthogonal Super Greedy Algorithm for Sparse Feedforward Neural Network. Submitted.

[4]  Haixia Bi, Lin Xu, Xiangyong Cao, Zongben Xu. Polsar Image Classification based on Three-Dimensional Wavelet Texture Features and Markov Random Field. Submitted to TIP.

Selected Awards:

• Siyuan Scholarship, 2009, 2010
• National Motivational Scholarship, 2011
• Excellent Student, 2009-2011
• Excellent Graduate, 2012
• National Scholarship for Graduate students, 2013, 2017

Journal Reviewer:

• IEEE Transactions on Image Processing
• IEEE Transactions on Cybernetics
• Photogrammetry and Remote Sensing
• IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• IEEE Geoscience and Remote Sensing Letters

Conference Reviewer:

• IJCAI 2018
• CVPR 2019
• IJCAI 2019, Senior PC Member
• ICCV 2019
• AAAI 2020, PC Member