SONG, JINGYAN
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PUBLICATIONS
Jingyan Song, Yangsheng Xu, Michael Nechyba, and Yeung Yam, "Transfer of Human Control Strategy Based on Similarity Measure", Proceedings of the IEEE International Conference on Robotics and Automation, pp.3134-3139, Detroit, MI, 1999.
Jingyan Song, Yangsheng Xu, Yeung Yam, and Michael Nechyba, "Optimization of Human Control Strategies with Simultaneously Perturbed Stochastic Approximation", Proceedings of International Conference on Intelligent Robots and Systems, pp.983-988, Victoria, Canada, 1998.
Jingyan Song, Yangsheng Xu, Michael Nechyba, and Yeung Yam, "Two Performance Measures for Evaluating Human Control Strategy", Proceedings of the IEEE International Conference on Robotics and Automation, pp.2250-2255, Leuven, Belgium, 1998.
Yangsheng Xu, Jingyan Song, Michael Nechyba, and Yeung Yam, "Performance Evaluation and Optimization of Human Control Strategy", Journal of Robotic and Autonomous Systems, Vol.965, pp.1-18, 2002.
Jianming Hu, Xi Shi, Jingyan Song, and Yangsheng Xu, "Optimal Design for Urban Mass Transit Network Based on Evolutionary Algorithms", Lecture Notes in Computer Science, Vol.3611, pp.1089-1100, Springer, July, 2005.
Xi Shi, Jianming Hu, Yangsheng Xu, and Jingyan Song, "A Simulation Study on Agent-network Based Route Guidance System", Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems, pp.263-268, Vienna, Austria, September 13-16, 2005.
Xi Shi, Jianming Hu, Yangsheng Xu, and Jingyan Song, "Architecture and Simulation of Sensor Network System for Urban Surveillance", IEEE Int. Conf. on Robotics and Biomimetics, pp.640-645, Hong Kong, June 29-July 03, 2005.
Xi Shi, Jianming Hu, Yangsheng Xu, and Jingyan Song, "Parameter Optimization of Wireless Communication System in Video Surveillance Network", IEEE Int. Conf. on Information Acquisition, pp.501-506, Hong Kong, June 27-July 03, 2005.
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RESEARCH PROJECTS
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Human Control Strategy Learning and Transfer This research provides a framework for abstracting human skills so as to facilitate analysis of human control, to allow machines to learn from human partners in human-machine cooperation, and to transfer skill from human to human through learning human machine interfaces.
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