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Biography
Research
Publications
Projects
Teaching
Links
Biography
Now I am working as visiting post-doctoral fellow
at the
Robotics Institute of Carnegie Mellon University,
Pittsburgh, USA. I am currently associate professor of Computer Science
and Technology
at Nanjing University of Science
and Technology, Nanjing, China. I received my B.E. (1999) in Computer Science and Engineering and M.Phil.
(2001) in Pattern
Recognition and Intelligence System with first-class honors from Nanjing University of Science & Technology, Nanjing,
and Ph.D. (2005) in Computer Science
and Engineering from
the Chinese University of
Hong Kong, Hong Kong. I joined the faculty of
Nanjing University of Science and Technology as assistant professor in 2005 and accepted
my present position in 2006.
Brief CV (pdf)
中文简历 (pdf)
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Research
Enjoy learning...
I have broad interests in machine learning, neural networks, pattern
recognition, computer vision, and intelligent robotics. Currently, I am
interested in the following machine learning topics and related application
areas.
-
Statistical learning:
active learning, model selection and regularization, and dimensionality reduction.
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Application areas:
robotic perception, network security, and traditional Chinese medicine.
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Publications
Journal papers
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Xuelei Hu, Lei Xu, "A Comparative
Investigation on Subspace Dimension Determination",
Neural
Networks, vol. 17/8-9, pp. 1051-1059, 2004.
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Xuelei Hu, Lei Xu, "Investigation on Several
Model Selection Criteria for Determining the Number of Cluster",
Neural
Information Processing - Letters & Reviews, vol. 4, no. 1,
pp. 1-10, 2004.
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Yujia An, Xuelei Hu, and Lei Xu,
"A Comparative Investigation on Model Selection in Independent Factor Analysis",
Journal of Mathematical Modelling and Algorithms,
vol. 5, pp. 447-473, 2006.
Book chapters
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Yujia An, Xuelei Hu, and Lei Xu, "A Comparative Investigation on
Model Selection in Binary Factor Analysis", In
Foundations of Data Mining and Knowledge Discovery, Editors: T.Y. Lin, S.
Ohsuga, C.J. Liau, X. Hu and S. Tsumoto, pp. 145-160, Springer, 2005.
Conference papers
-
Xuelei Hu, Jingyu Yang, "Investigation on Sparse Kernel Density Estimator Via Harmony Data Smoothing Learning", In
the Proceedings of ISNN2007, LNCS 4491, pp. 1211-1220, Nanjing, China, June
3-7,
2007.
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Xuelei Hu,
Lei Xu, "A Comparative Study on Selection of Cluster Number and
Local Subspace Dimension in the Mixture PCA Models", In the Proceedings of ISNN2006, LNCS 3971, pp. 1214-1221, Chengdu, China, May 28-June 1,
2006.
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Xuelei Hu,
Lei Xu, "Automatic Cluster Number Determination via BYY Harmony
Learning", In
the Proceedings of the First International Symposium
on Neural
Networks (ISNN 2004), LNCS 3173, pp. 828-833, Dalian, China, Aug. 19-21,
2004.
-
Xuelei Hu,
Lei Xu, "A Comparative Study of Several Cluster Number Selection
Criteria";, In
the Proceedings of the 4th International Conference on Intelligent Data
Engineering and Automated Learning (IDEAL 2003), LNCS 2690, pp. 195-202,
Hong Kong, China, March 21-23, 2003.
-
Jianfeng
Lu, Xuelei Hu, Jingyu Yang, "Design of Corner Detection Used for
Calibration of X-ray Device", In the Proceedings of SPIE v 4197 2000,
pp. 119-123, Boston, USA, Nov. 5-8, 2000.
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Projects
Principal investigator
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"Active Learning for Mobile
Robotic Perception", National Natural Science Foundation of
China (NSFC), No. 60705020, Jan. 2008 - Dec. 2010.
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"Active Learning for
Robotic Perception", Natural Science Foundation of Jiangsu Province,
No. BK2007594, July. 2007 - Dec. 2009.
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"Network Intrusion Detection
based on Machine Learning Techniques",
"The Six Top Talents" of Jiangsu Province Grant, No. 07-E-015, Jan. 2008 - Dec. 2010.
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"Automatic Dimension
Reduction Methods", Scientific Research Foundation of Nanjing University of
Science and Technology, Jan. 2007 - Dec.
2008.
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"Investigation on Model Selection
Methods in
Machine Learning", Scientific Research Foundation for Returned Scholars
of Nanjing University of Science and Technology, Jan. 2005 - Dec. 2007.
Investigator
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Teaching
Courses
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Machine Learning
(for graduate students)
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Artificial Intelligence: A Modern Approach (for
graduate students)
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Seminar on Machine Learning Theory
and Applications (for graduate students)
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Data Structure
(for undergraduate students)
Supervision
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Links
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Last modified on
2009-03-07
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