Jing Peng
Associate Professor
Computer Science
Montclair State University
United States of America
Biography
Jing Peng received phd from Northeastern University and at present serves as professor in the department of computer sciences. His research interests follow three diverse but related tracks: 1. Reinforcement learning and its applications to control and multi-agent systems. In general terms, reinforcement learning is concerned with computational approaches to learning from reward; Image retrieval, in particular content-based retrieval where he consider indexing schemes that allow flexible retrieval metrics to be created on the fly so that very large databases can be accessed efficiently and accurately; Classification and data mining, where he is particularly interested in adaptive metric nearest-neighbor techniques and compact subspace representation for building robust classifiers from limited training data. He published several papers in various journals.
Research Interest
Reinforcement learning and its applications to control and multi-agent systems, Image retrieval, Classification and data mining
Publications
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Peng J, Robila S, Fan W, Seetharaman G. Margin Based Dimensionality Reduction and Generalization. AIR FORCE RESEARCH LAB WRIGHT-PATTERSON AFB OH; 2010.
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Domeniconi C, Peng J, Yan B. Composite kernels for semi-supervised clustering. Knowledge and information systems. 2011 Jul 1;28(1):99-116.
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Banerjee B, Peng J. Strategic best-response learning in multiagent systems. Journal of Experimental & Theoretical Artificial Intelligence. 2012 Jun 1;24(2):139-60.