Xiangyong Cao (曹相湧)

Currently, I am a 4th year Ph.D. candidate in the School of Mathematics and Statistics at Xi'an Jiaotong University.

Address:     No. 28, Xianning West Road,  Xi'an Jiaotong University  (XJTU), China, 710049
Email:   caoxiangyong45@gmail.com  

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 - present, Master-Doctor Combined Program in Applied Mathematics 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

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

[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. [pdf] [code] 
[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. 
[code] (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]  Lin Xu, Xiangyong Cao, Xia Liu, Yi Fang, Orthogonal Super Greedy Algorithm for Sparse Feedforward Neural Network. Transactions on Cybernatics (Minor Revision).
[2]  Xiangyu Chang, Xiangyong Cao, Yuewen Liu, A Mixture Model for Directed Graph with Free Expected In-degree. (submitted).
[3]  Haixia Bi, Lin Xu, Xiangyong Cao, Zongben Xu. Polsar Image Classification with 3-D Wavelet Texture Features and Markov Random Field. (submitted to GRSL).

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 Geoscience and Remote Sensing Letters
Conference Reviewer: