Xinhua Zhang, Le Song, Arthur Gretton, Alex Smola

Kernel Measures of Independence for non-iid Data

Advances in Neural Information Processing Systems 21, 2008. [PDF]  [Appendix] [Spotlight]

Le Song, Xinhua Zhang, Alex Smola, Arthur Gretton, and Bernhard Schölkopf

Tailoring Density Estimation via Reproducing Kernel Moment Matching

International Conference on Machine Learning, 2008.  [PDF]

Li Cheng, S. V. N. Vishwanathan, and Xinhua Zhang

Consistent Image Analogies using Semi-supervised Learning

IEEE Conf. Computer Vision and Pattern Recognition, 2008.  [PDF]

Xinhua Zhang, Douglas Aberdeen, and S. V. N. Vishwanathan

Conditional Random Fields for Multi-agent Reinforcement Learning

International Conference on Machine Learning, 2007.  [PDF] (Best student paper award)

Xinhua Zhang and Wee Sun Lee

Hyperparameter Learning for Graph based Semi-supervised Learning Algorithms

Advances in Neural Information Processing Systems 19, 2006. [PDF]

Wee Sun Lee, Xinhua Zhang, and Yee Whye Teh

Semi-supervised Learning in Reproducing Kernel Hilbert Spaces using Local Invariances

NUS Technical Report TRB3/06, 2006.  [PDF]

Xinhua Zhang and Peter K K Loh

A Fault-tolerant Routing Strategy for Fibonacci-class Cubes

10th Asia-Pacific Computer Systems Architecture Conference, 2005.  [PDF] 

Peter K K Loh and Xinhua Zhang

A Fault-tolerant Routing Strategy for Gaussian Cube using Gaussian Tree

International Conference on Parallel Processing Workshops, 2003.  [PDF]

Xiang Yan, Xinhua Zhang, and Liang Huang

A Light Intensity Model with Connected Set Algorithm

Journal of Engineering Mathematics, 20(5), 2003.

Xinhua Zhang

Building Maximum Entropy Text Classifier Using Semi-supervised Learning

Graduate Research Paper at National University of Singapore, 2002.  [PDF]