Short Biography:

• 2008.9 - 2012.6,  Information and Computing Science  at Xi'an Jiaotong University  ( Bachelor)
• 2012.9 - 2018.9,  Master-Doctor Combined Program in Applied Mathematics at Xi'an Jiaotong University, supervised by Zongben Xu.
• 2016.9 - 2017.9,  Visiting scholar in Data Science Institute and Electrical Engineering at Columbia University, supervised by  John Paisley.
• 2018.7 - present, Posdoc in the School of Mathematics and Statistics at Xi'an Jiaotong University, supervised by Deyu Meng.
• 2018.7 - present, Assistant Professor in the School of Mathematics and Statistics at Xi'an Jiaotong University

Research Interest:

• Machine learning and Computer Vision. Current Topics: 
• Probabilistic model and inference methods 
• Hyperspectral Image Analysis  
• Deep Learning and Network Analysis

Journal and conference  (*corresponding) 

2020

[1] Siqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao,  Huibin Li, Deyu Meng, Hon, Tao Yu. Discovering influential factors in variational autoencoder. Pattern Recognition 100 (2020): 107166. 

[2] Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li. New Interpretations of Normalization Methods in Deep Learning.  AAAI 2020.

[3] Haixia Bi, Lin Xu, Xiangyong Cao, Yong Xue, Zongben Xu. Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field.  IEEE Transactions on Image Processing, accepted.     

[4] Xiangyong Cao,  Jing Yao, Zongben Xu, Deyu Meng. Hyperspectral Image Classification with Convolutional Neural Network and Active Learning. IEEE Transactions on Geoscience and Remote Sensing, accepted. [code]    

[5] Xiangyong Cao, Jing Yao, Haixia Bi, Danfeng Hong, Xueyang Fu, An Enhanced 3-Dimensional Discrete Wavelet Transform for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, accepted.

[6] Xueyang Fu, Xiangyong Cao*, Underwater Image Enhancement with Global-Local Networks and Compressed-Histogram Equalization.  Signal Processing: Image Communication,  volume 86, 2020.

2019

[1] Xiangyong Cao,  Deyu Meng, Zongben Xu. Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature.  Remote Sensing, 11(13): 152019. [code] 

2018 and before

[1] 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, 27(5): 2354-2367, 2018. [code] 

[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, 226, 90-100, 2017. [code] 

[3] Jing Yao*, Xiangyong Cao*, Qian Zhao, Deyu Meng, Zongben Xu. Robust Subspace Clustering via Penalized Mixture of Gaussian. (*co-first author)  Neurocomputing, 273, 4-11, 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, 48(3): 1054-1066, 2017. [code] 

[5] Xiangyong Cao, Qian Zhao, Deyu Meng, Yang Chen, Zongben Xu. Robust Low-rank Matrix Factorization under General Mixture Noise Distributions. IEEE Transactions on Image Processing, 25(10): 4677–4690, 2016. [code] 

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

[7] Xiangyong Cao, Xiangyu Chang, 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.  

Submitted Manuscript:

[1] Lin Xu, Xiangyong Cao, Jing Yao, Zongben Xu, Orthogonal Super Greedy Algorithm for Sparse Feedforward Neural Network. Submitted.

[2] Minghan Li, Xiangyong Cao,  Qian Zhao, Lei Zhang, Chengqiang Gao, Deyu Meng. Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding. Submitted.

[3] Xueyang Fu, Menglu Wang, Xiangyong Cao, Xinghao Ding, Zhengjun Zha. A Model-Driven Deep Unfolding method for JPEG Artifacts Removal. Submitted.

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 Neural Network and Learning System
• IEEE Transactions on Cybernetics
• ISPRS Journal of Photogrammetry and Remote Sensing
• IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• IEEE Geoscience and Remote Sensing Letters
• Knowledge based system

Conference Reviewer:

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