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Junpei Zhong

	Contact Info
	Address:	University of Hamburg Department of Informatics Vogt Koelln Str. 30 22527 Hamburg, Germany
	Office:	F-228
	Phone:	+49 40 428 83 2531
	Fax:	+49 40 428 83 2515
	Secretary:	+49 40 428 83 2433
	Email:	zhong at informatik.uni-hamburg.de

Research Interests

My current research encompasses the following interrelated research themes:

Computational Neuroscience, particularly focusing on the visual system modelling, and its relation into the affordance learning in a mirror neuron system.

Bootstrap Learning for Visual Perception on Robots

Developmental Psychology and its contributions to Developmental Robotics

My previous research also includes SLAM, and its biological-inspired solutions.

Projects

• Robotics for Development of Cognition (RobotDoc)

Short Curriculum Vitae

9.2002-7.2006	Bachelor of Engineering, Department of Control Science, South China University of Technology, Guangzhou China
9.2006-7.2007	Department of Control & Mechatronics, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen China
10.2007-10.2009	Master of Philosophy, Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong
Since 7.2010	Research Associate of Knowledge Technology Research Group, Department of Computer Science, University of Hamburg, Germany

Thesis

Utilization and Optimization for Particle Filtering Multi-robot SLAM
Supervisor: Dr. Y.F. Fung, MPhil Thesis, Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong

Publications

Zhong, J.P. and Fung, Y.F., A Biological Inspired Improvement Strategy for Particle Filters. Proceedings, IEEE 2009 International Conference on Industrial Technology (ICIT 09), Australia, pp. 1-6, 10-13 Feb 2009.
Zhong, J.P., Fung Y.F. and Dai M.J. Ant Colony Optimization Assisted Particle Filters. International Journal of Control, Automation, and Systems. pp. 519-526, June, 8(3), 2010.
Zhong, J.P., Weber, C. and Wermter S., Robot Trajectory Prediction and Recognition based on a Computational Mirror Neurons Model. In Honkela, T., Duch, W., Girolami, M., Kaski, S., editors, Proceedings of the 21st International Conference on Artificial Neural Networks (ICANN 2011), Part II, pp. 333-340, Espoo, Finland, June 2011.
Zhong, J., Weber, C. Wermter, S. Restricted Boltzmann Machine with Transformation Units in a Mirror Neuron System Architecture. In Narioka, K., Nagai, Y., Asada, M., Ishiguro, H., editors, Proceedings of the IROS2011 Workshop on Cognitive Neuroscience Robotics (CNR), pp. 23-28, San Francisco, CA, USA, September 2011.
Zhong, J., Fung, Y.F. Case Study and Proofs of Ant Colony Optimisation Improved Particle Filter Algorithm. IET Control Theory and Applications. pp. 689-697, 6(5), 2012.
Zhong, J., Weber, C. Wermter, S. Learning Features and Transformations with a Predictive Horizontal Product Model. Proceedings of Sixteenth International Conference on Cognitive and Neural Systems, ICCNS 2012, Boston, USA, 2012.
Zhong, J., Weber, C., Wermter, S. Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model. In Villa, A.E.P., et al., editors, Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012), Part I, LNCS 7552, pp. 539-546, Springer Heidelberg. Lausanne, CH, September 2012.