Research Interests

My interests were on Pattern Recognition and Image Processing, especially on Fingerprint Recognition before 2016.



Now I'm interested in Machine Learning and Computer Vision. To be specific, my study focuses on unsupervised transfer learning and clustering using deep neural networks.

Education

2016 - now

NUDT
I'm a PhD candidate in College of Computer, National University of Defense Technology (NUDT), China.
Advisor: Prof. Jianping Yin.

2013 - 2015

NUDT
M.S. in College of Computer, National University of Defense Technology (NUDT), China.
Advisor: Prof. En Zhu.

2009 - 2012

UESTC
B.S. in School of Automation Engineering, University of Electronic Science Technology of China.

Publications

Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, and Jianping Yin.
Adaptive Self-paced Deep Clustering with Data Augmentation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
[pdf | code]
Yongkai Ye, Xinwang Liu, Qiang Liu, Xifeng Guo, and Jianping Yin.
Incomplete Multiview Clustering via Late Fusion. Computational Intelligence and Neuroscience, 2018.
https://doi.org/10.1155/2018/6148456.
Xifeng Guo, En Zhu, Xinwang Liu, and Jianping Yin.
Deep Embedded Clustering with Data Augmentation. The 10th Asian Conference on Machine Learning (ACML), 2018.
[pdf | code]


Erxue Min, Xifeng Guo, Qiang Liu, Gen Zhang, Jianjing Cui, and Jun Long.
A Survey of Clustering with Deep Learning: From the Perspective of Network Architecture. DOI: 10.1109/ACCESS.2018.2855437, IEEE Access, vol. 6, pp. 39501-39514, 2018.
[pdf]


Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, and Jianping Yin.
Deep Embedding for Determining the Number of Clusters. AAAI (Student Abstracts), 2018.


Mengchi Lu, Long Gao, Xifeng Guo, and Jianping Yin.
A Framework of Predicting Drug Resistance of Lung Tuberculosis by Utilizing Radiological Images. International Conference on Advanced Computational Intelligence (ICACI), 2018.


Xifeng Guo, Xinwang Liu, En Zhu, and Jianping Yin.
Deep Clustering with Convolutional Autoencoders. International Conference on Neural Information Processing (ICONIP), 2017.
[pdf | code]


Xifeng Guo, Long Gao, Xinwang Liu, and Jianping Yin.
Improved Deep Embedded Clustering with Local Structure Preservation. International Joint Conference on Artificial Intelligence (IJCAI), 2017.
[pdf | code]


Mengchi Lu, Long Gao, Xifeng Guo, Qiang Liu, and Jianping Yin.
HEp-2 cell image classification method based on very deep convolutional networks with small datasets. International Conference on Digital Image Processing (ICDIP), 2017.


Xifeng Guo, Wei Chen, and Jianping Yin.
A Simple Approach for Unsupervised Domain Adaptation. International Conference on Pattern Recognition (ICPR), 2016.
[pdf | code]


Wei Chen, Xifeng Guo, Xinwang Liu, En Zhu and Jianping Yin.
Appearance Changes Detection during Tracking. International Conference on Pattern Recognition (ICPR), 2016.
[pdf]


Xifeng Guo, En Zhu and Jianping Yin.
"A fast and accurate method for detecting fingerprint reference point." Neural Computing & Applications. 29(1): 21-31. 2018.
[pdf (final version is here)]


En Zhu, Xifeng Guo and Jianping Yin.
"Walking to singular points of fingerprints." Pattern Recognition. 56: 116-128. 2016.
[pdf (final version is here) | code]