About me

I am currently an assistant professor at the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA). Previously, I recieved the BS degree from Beijing University of Posts and Telecommunication in 2004, and the PhD degree from NLPR at CASIA in 2011.

My research interests include machine learning and pattern recogniton. More specially, I focus on structured prediction, graph-based learning methods and large-scale learning algorithms.

Selected publications

Y.-M. Zhang, X.-Y. Zhang, X.-T. Yuan, and C.-L. Liu. Large-scale graph-based semi-supervised learning via tree Laplacian solver. In AAAI Conference on Artificial Intelligence (AAAI), 2016.[PDF][CODES]

Y.-M. Zhang, K.-Z. Huang, G.-G. Geng and C.-L. Liu. MTC: A fast and robust graph-based transductive learning method. IEEE Transactions on Neural Networks and Learning Systems(TNNLS), 26(9):1979-1991, 2015.[PDF][CODES]

Y.-M. Zhang, K.-Z. Huang, X.-W. Hou, and C.-L. Liu. Learning locality preserving graph from data. IEEE Transactions on Systems, Man, and Cybernetics, Part B (TSMCB), 44(11):2088-2098, 2014.

Y.-M. Zhang, and C.-L. Liu. Approximate kNN graph construction with locality sensitive hashing. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML), 2013.

Y.-M. Zhang, K.-Z. Huang, and C.-L. Liu. Fast graph-based transductive learning via minimum tree cut. In International Conference on Data Mining (ICDM), 2011.

Y.-M. Zhang, Y. Zhang, D.-Y. Yeung, C.-L. Liu, and X.-W. Hou. Transductive learning on adaptive graphs. In AAAI Conference on Artificial Intelligence (AAAI), 2010.

Y.-M. Zhang, X.-W Hou, S.-M. Xiang, and C.-L. Liu. Subspace regularization: a new semi-supervised learning method. In European conference on machine learning and principles and practice of knowledge discovery in databases (ECML), 2009.