Guang-Tong Zhou

Ph.D.
School of Computing Science
Simon Fraser University
8888 University Drive
Burnaby, BC
Canada V5A 1S6

Email: gza11 [at] sfu.ca or zhouguangtong [at] gmail.com
Guang-Tong Zhou

About [LinkedIn] [Resume] [A Short Bio]

I am currently a Machine Learning Researcher at Oracle Labs, Vancouver, Canada. I earned my Ph.D. in 2015 from Simon Fraser University under the supervision of Dr. Greg Mori. I did my internship at Disney Research in fall 2013, and SAP from fall 2014 to spring 2015. I am interested in machine learning and computer vision research, and the focus is to develop machine learning algorithms and semantic representations for high-level understanding of image and video data.


Selected Publications

Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao and Greg Mori.
Learning Structured Inference Neural Networks with Label Relations.
IEEE Computer Vision and Pattern Recognition (CVPR), 2016.
[pdf] [arXiv]
Guang-Tong Zhou.
Toward Scene Recognition by Discovering Semantic Structures and Parts.
Ph.D. Thesis, Simon Fraser University, 2015.
[pdf]
Mehran Khodabandeh, Arash Vahdat, Guang-Tong Zhou et al.
Discovering Human Interactions in Videos with Limited Data Labeling.
Workshop on Group and Crowd Behavior Analysis and Understanding (at CVPR), 2015.
[pdf]
Guang-Tong Zhou, Sung Ju Hwang, Mark Schmidt, Leonid Sigal and Greg Mori.
Hierarchical Maximum-Margin Clustering.
arXiv:1502.01827, 2015.
[pdf] [arXiv]
Tian Lan, Lei Chen, Zhiwei Deng, Guang-Tong Zhou and Greg Mori.
Learning Action Primitives for Multi-Level Video Event Understanding.
International Workshop on Visual Surveillance and Re-Identification (at ECCV), 2014.
[pdf]
Arash Vahdat, Guang-Tong Zhou and Greg Mori.
Discovering Video Clusters from Visual Features and Noisy Tags.
European Conference on Computer Vision (ECCV), 2014.
[pdf] [supplementary]
Guang-Tong Zhou, Tian Lan, Arash Vahdat and Greg Mori.
Latent Maximum Margin Clustering.
Neural Information Processing Systems (NIPS), 2013.
[pdf] [code]
Guang-Tong Zhou, Tian Lan, Weilong Yang and Greg Mori.
Learning Class-to-Image Distance with Object Matchings.
IEEE Computer Vision and Pattern Recognition (CVPR), 2013.
[pdf] [SUN 09 scene labels]
Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu and Swee Chuan Tan.
Mass Estimation.
Machine Learning Journal (MLJ), 90(1):127-160, 2013.
[pdf] [details]
Guang-Tong Zhou, Kai Ming Ting, Fei Tony Liu and Yilong Yin.
Relevance Feature Mapping for Content-Based Multimedia Information Retrieval.
Pattern Recognition (PR), 45(4):1707-1720, 2012.
[pdf]
Guang-Tong Zhou, Kai Ming Ting, Fei Tony Liu and Yilong Yin.
Relevance Feature Mapping for Content-Based Image Retrieval.
International Workshop on Multimedia Data Mining (at KDD), 2010.
[pdf]
Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu and Swee Chuan Tan.
Mass Estimation and Its Applications.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2010.
[pdf] [details]
Gongping Yang, Guang-Tong Zhou, Yilong Yin and Xiukun Yang.
K-means Based Fingerprint Segmentation with Sensor Interoperability.
EURASIP Journal on Advances in Signal Processing (EJASP), 2010(1):729378, 2010.
[pdf]

Copyright © 2015 by Guang-Tong Zhou.