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State Key Laboratory on Intelligent Technology and Systems,
Tsinghua National Laboratory for Information Science and Technology (TNList),
Department of Automation,
Tsinghua University,
Beijing 100084, China
Graduation expected in June 2008.
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Changshui Zhang
Nanyuan Zhao
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Looking for opportunities to pursue a PhD's degree in the U.S.
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My research interests mainly lie in machine learning, pattern recognition, and some related fields including computer vision and data mining. In the past 3 years, I have been working on data similarity learning, manifold learning, recognition & detection, probabilistic graphical models and statistical regression models. Besides, I find the following topics to be interesting: multimedia and text mining, middle-level vision, and fast parallel algorithms.
Now I am working on a traditional problem - human detection, which appears to be an opportunity and valuable application to integrate and test my past works. Yet, I know this problem can be extremely challenging, and the competition is fierce. Hope things come well. |
- Liang Xiong, Fei Wang and Changshui Zhang,
Guide Manifold Alignment by Relative Comparisons, In: J. Wang ed. Encyclopedia of Data Warehousing and Mining 2nd Edition, Hershey, PA: IGI Publishing, in press.
- Liang Xiong, Fei Wang and Changshui Zhang, Multilevel Belief Propagation for Fast Inference on Markov Random Fields, IEEE International Conference on Data Mining 2007 (ICDM'07), Omaha, NE, USA. [pdf]
- Liang Xiong, Fei Wang and Changshui Zhang, Semi-definite Manifold Alignment, European Conference on Machine Learning 2007 (ECML'07), Warsaw, Poland. [pdf, poster, full version]
- Liang Xiong, Jianguo Lee and Changshui Zhang, Discriminant Additive Tangent Spaces for Object Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2007 (CVPR'07), Minneapolis, MN, USA. [pdf]
- Liang Xiong, Nanyuan Zhao and Changshui Zhang. Soft-Hard Memory for Cognitive Systems. International Symposium on Artificial Life and Robotics 2007 (AROB'07), Beppu, Japan.
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