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宋靖雁SONG, JINGYAN

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PUBLICATIONS

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

RESEARCH PROJECTS

Human Control Strategy Learning and Transfer 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.