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Zhengping Ji

CNLS Postdoctoral Research Associate
CNLS/T-5

Computational neuroscience and computer vision

Zhengping Ji

Office: TA-3, Bldg 1690, Room 121
Mail Stop: B284
Phone: (505) 665-4938
Fax: (505) 665-2659

zji@lanl.gov
home page

Research highlight
  • I am now a program committee member of Brain-Mind Institute, MSU, USA.
  • Our team for Synthetic Cognition project received the Best Poster Award in the LDRD Day 2011.
  • Our book chapter titled "Autonomous Mental Development for Neuromorphic Robots" is to be published in "Neuromorphic and Brain-based Robots: Trends and Perspectives", J. Krichmar and H. Wagatsuma (eds), Cambridge University Press, 2011. The book can be purchased from Amazon.com.
  • Our paper titled "Incremental Online Object Learning in a Vehicular Radar-Vision Fusion Framework" was accepted in IEEE Transactions on Intelligent Transportation Systems.
  • Our paper received the Best Poster Paper Award in the International Joint Conferene on Neural Networks, 2011.
 Educational Background/Employment:
  • B.Sc. (2003) Electronic Information, Sichuan University, China.
  • Ph.D. (2009) Computer Science, Michigan State University.
  • Employment:
    • 2004-2009 Research Assistant, Embodied Intelligence Lab, Michigan State University.
    • 2004-2006 Teaching Assistant, Department of Computer Science & Engineering, Michigan State University.
    • 2007 Research Intern, Toyota Technical Center, Ann Arbor.
    • 2005 Research Assistant, IBM Research Collaboration Lab, College of Eli Broad Business, Michigan State University.
  • Professional Training:
    • 2009-2010 Postdoctoral Fellow, Center for the Neural Basis of Cognition and Biological Science Department, Carnegie Mellon University.

Research Interests:

  • Computational modeling of the brain's visual cortex
  • Sparse coding and deep generative model
  • Statistical learning and its application to computer vision, including visual object recognition and detection, content-based image retrieval and image compression.
  • Intelligent vehicle systems and mobile robotics.

Selected Recent Publications:

  1. Z. Ji, W. Huang, G. Kenyon and L. M. A. Bettencourt, Hierarchical Discriminative Sparse Coding via Bidirectional Connections, IEEE International Joint Conference on Neural Networks (IJCNN), 2011.
  2. Z. Ji, J. Weng, and D. Prokhorov, Autonomous Mental Developmentfor Neuromorphic Robots, Neuromorphic and Brain-based Robots: Trends and Perspectives, J. Krichmar and H. Wagatsuma (eds), Cambridge University Press, 2011.
  3. Z. Ji, M. Luciw, J. Weng and S. Zeng, Incremental Online Object Learning in a Vehicular Radar-Vision Fusion Framework, IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 2, 2011.
  4. M. I. Ham, S.P. Brumby, Z. Ji, K.Y. Sanbonmatsu, G. Kenyon, J. S. George and L. M. A. Bettencourt, Task-specific Saliency from Sparse, Hierarchical Models of Visual Cortex Compared to Eye-tracking Data for Object Detection in Natural Video Sequences, Journal of Vision, vol. 11, no. 11, 2011.
  5. Z. Ji and J. Weng, WWN-2:A Biologically Inspired Neural Network for Concurrent Visual Attention and Recognition, IEEE International Joint Conference on Neural Networks (IJCNN), 2010.
  6. Z. Ji, J. Weng and D. Prokhorov, Where-What Network 1: "Where" and "What" Features Assist Each Other through Top-down Connections, IEEE International Conference on Development and Learning (ICDL), 2009.
  7. Z. Ji and J. Weng, Learning of Sensorimotor Behaviors by a SASE Agent for Vision-based Navigation, IEEE International Joint Conference on Neural Networks (IJCNN), 2008.
  8. Z. Ji, M. Luciw and J. Weng, Epigenetic Sensorimotor Pathways and Its Application to Developmental Object Learning, IEEE Congress on Evolutionary Computation, 2008.
  9. Z. Ji and D. Prokhorov, Radar-camera Fusion for Object Classification, International Conference on Information Fusion (FUSION), 2008.
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