I am xinwang liu. My research interest includes machine Learning, data mining, and computer vision. More indtail, I have done research on supervised learning and kernel learning. I have interest in how to build efficient and effective supervised learning models, which often involves non-convex optimization problems. I also have strong interest in multiple kernel learning, which involves a convex-concave optimization. I devote myself to design effective and efficient optimization methods to solve these machine learning problems. Furthermore, I also have interest in online learning and unsupervised learning.
Sep. 2010-- present: Visiting PhD student, Research School of Information Science and Engineering, The Australian National University, Canberra, Australia.
Feb. 2009-- Aug. 2010: PhD Candidate, School of Computer, National University of Defense Technology, Changsha, Hunan.
Sep. 2006--Dec. 2008: Master, School of Computer, National University of Defense Technology, Changsha, Hunan.
Sep. 2002--July. 2006: Bachelor, School of Computer, Chongqing Technology and Business University, Chongqing.
Yubin Zhan, Jianping Yin, Xinwang Liu, and Guomin Zhang. Adaptive Neighborhood Select Based on Local Linearity for Nonlinear Dimensionality Reduction. International Symposium on Intelligence Computation and Applications, Wuhan, China, Oct. 2009.
Xinwang Liu, Jianping Yin, En Zhu, Guomin Zhang, Yubin Zhan, and Miaomiao Li. A Large Margin Classifier with Additional Features. International Conference on Machine Learning and Data Mining, Leipzig, Germany, July 2009.
Xinwang Liu, Jianping Yin, Changwang Zhang, En Zhu, Yubin Zhan, and Miaomiao Li. A Max-Margin Learning Algorithm with Additional Features. International Frontier of Algorithm Workshop, Hefei, China, June 2009.
Xinwang Liu, Guomin Zhang, Yubin Zhan, and En Zhu. An Incremental Feature Learning Algorithm Based on Least Square Support Vector Machine. International Frontier of Algorithm Workshop, Changsha, China, June 2008.
PC Member(2011): International Conference on Modeling Decisions for Artificial Intelligence 2011.
Reviewers: Frontier of Algorithm Workshop 2009, Frontier of Algorithm Workshop 2010, International Conference on Natural Computation 2011, IEEE International Conference on Image Processing 2011.
Win the First Prize in National Mathematical Modeling Contest in 2004.
Dean's Award for Studying Excellence in 2005.
Outstanding graduate student in 2006.
Excellent Thesis Award for Master's Degree of the National University of Defense Technology in 2008.
China Scholarship Council Award for Studying in Australia as a Joint PhD Student in 2010.