Institute of High Performance Computing
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People
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Computing Science (CS)
Dr. YANG Xulei
- Title: Scientist
- Tel: 64191498
- Email: yangx@ihpc.a-star.edu.sg
Research Interests:
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Biomedical Imaging
Pattern Recognition
Machine Vision
Qualifications:
- PhD of EEE School, NTU, Singapore, 2005
- M.Eng of EE School, XJTU, China, 2002
- B.Eng of EE School, XJTU, China, 1999
Published Journals/ Articles:
Journals
- Yue Wang, Zujun Hou, Xulei Yang, etc. "Adaptive B-Snake model Using Shape and Appearance Information for Object Segmentation",International Journal for Numerical Methods in Biomedical Engineering, vol.27, no.5, pp.633-649, 2011.
- Q. Song, Xulei Yang, etc. "An information-theoretic fuzzy c-spherical shells clustering algorithm", Fuzzy Sets and Systems, vol.161, no.13, pp.1755-1773, 2010.
- Xulei Yang, Q. Song, etc. "A novel pruning approach for robust data clustering", Neural Computing and Applications, vol.18, no.7, pp.759-768, 2009.
- Xulei Yang, Q. Song, etc. "A modified deterministic annealing algorithm for robust image segmentation", Journal of Mathematical Imaging and Vision, vol.30, no.3, pp.308-324, 2008.
- Aize Cao, Q. Song, Xulei Yang, "Robust information clustering for automatic breast mass detection in digitized mammograms", Computer Vision and Image Understanding, vol.109, no.1, pp.86-96, 2008.
- Xulei Yang, Q. Song, etc. "A weighted support vector machine for data classification", International Journal of Pattern Recognition and Artificial Intelligence, vol.21, no.5, pp.961-976, 2007.
- Yilei Wu, Q. Song, Xulei Yang, "Robust recurrent neural network control of biped robot",Journal of Intelligent and Robotic Systems, vol.49, no.2, pp.151-169, 2007.
- Xulei Yang,Q. Song, etc, "A robust deterministic annealing algorithm for data clustering", Data and Knowledge Engineering, vol.62, no.1, pp.84-100, 2007.
- Xulei Yang,Q. Song, etc, "A new cluster validity index for data clustering", Neural Processing Letters, vol. 23, no. 3, pp. 325-344, 2006.
- Xulei Yang, Q. Song, etc, "Kernel-based deterministic annealing algorithm for data clustering", IEE Vision, Image and Signal Processing, vol.153, no.5, pp.557-568, 2006.
Conferences
- Xulei Yang, Qing Song, etc, "Clustering of spherical shells by a mini-max information algorithm", Lecture Notes in Computer Science (LNCS), vol.3852, pp. 224-233, Springer, 2006.
- Xulei Yang, Aize Cao, etc, "Image segmentation by deterministic annealing algorithm with adaptive spatial constraints", Lecture Notes in Computer Science (LNCS), vol.3972, pp.504-510, Springer, 2006.
- Xulei Yang, Q. Song, etc, "Robust clustering in mercer-kernel induced feature space", Lecture Notes in Computer Science (LNCS), vol.3971, pp.1231-1237, Springer, 2006.
- Xulei Yang, Qing Song, etc, "Pre-selection of working set for SVM decomposition algorithm",IJCNN 2005, pp.883-888, 2005
- Aize Cao; Qing Song; Xulei Yang, "Breast mass segmentation based on information theory", ICPR 2004, pp.758 – 761, 2004
- Aize Cao; Qing Song; Xulei Yang, "Breast mass segmentation on digital mammograms by a combined deterministic annealing method", ISBI 2004, pp.1303-1306, 2004
- Aize Cao; Qing Song; Xulei Yang; etc; "Mammographic Mass Detection by vicinal support vector machine", IJCNN 2004, pp.1953-1958, 2004
Book(s)
- Xulei Yang, Q. Song, "Robust Clustering Algorithms and Potential Applications - Robust Algorithms for Data Clustering, Image Segmentation, and Pattern Classification", VDM Verlag, ISBN: 978-3-639-18069-5, July 2009
- Y.L. Wu, Xulei Yang, Q. Song, "A New Supervised Learning Algorithm of Recurrent Neural Networks and L2 Stability Analysis in Discrete-Time Domain", Book Chapter in X. Hu and P. Balasubramaniam (Eds.) Recurrent Neural Networks. Pages: 169-202, IN-TECH, 2008.
- A.Z. Cao, Q. Song, Xulei Yang, etc., "Mammographic mass detection by robust learning algorithms", Book Chapter in J.S. Suri and R.M. Rangayyan (Eds.) Recent advances in mammography, breast imaging, and computer-aided diagnosis of breast cancer. Pages: 165-202, SPIE Press, 2006.
- Q. Song; W.J. Hu; Xulei Yang,"An accelerated robust support vector machine algorithm",Book Chapter in Wang, Lipo (Ed.) Support Vector Machines: Theory and Applications, Studies in Fuzziness and Soft Computing #177, Pages: 219-232, Springer-Verlag Berlin Heidelberg 2005.
This page is last updated at: 01-MAR-2013

