Zuoguan Wang

Nov/2011

Information:

I am a fourth year Ph.D student in the Department of Electrical, Computer and Systems Engineering at Rensselaer Polytechnic Institute. I got my bachelor degree (2005) from University of Science and Technology of China and Master degree (2008) from Shanghai Institute of Technical Physics, Chinese Academy of Science.

I am working with Prof. Qiang Ji in the Intelligent Syatem Lab.

Contact information:
Email: wangz6 At rpi.edu


Research Interest:

Machine Learning and Its Application to Brain Computer Interface.

Projects

Publications:

  1. Zuoguan Wang, Gerwin Schalk, Qiang Ji.
    Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals.
    Annual Conference on Neural Information Processing Systems (NIPS) 2011.
    Spotlight presentation- top 5%.

  2. Zuoguan Wang, Qiang Ji, Kai J Miller, Gerwin Schalk.
    Prior Knowledge Improves Decoding of Finger Flexion from Electrocorticographic (ECoG) Signals.
    Frontiers in Neuroscience, 2011.

  3. Zuoguan Wang, Qiang Ji, Kai J. Miller, Gerwin Schalk.
    Decoding Finger Flexion from Electrocorticographic Signals Using a Sparse Gaussian Process.
    20th International Conference on Pattern Recognition, 2010.

  4. Zuoguan Wang, Aysegul Gunduz, Peter Brunner, Anthony L.Ritaccio, Qiang Ji, Gerwin Schalk.
    Decoding Onset and Direction of Movements Using Electrocorticographic (ECoG) Signals in Humans.
    In Preparation.

  5. Zuoguan Wang, Gerwin Schalk, Qiang Ji.
    Generalizable BCI Decoding with Knowledge.
    In Preparation.

  6. Zuoguan Wang, Siwei Lyu, Qiang Ji.
    Smooth Convolutional Stacked Auto-encoder.
    In Preparation.

  7. Ziheng Wang, Ryan Hope, Zuoguan Wang, Qiang Ji, and Wayne Gray.
    Cross-Subject Workload Classification with a Hierarchical Bayes Model.
    NeuroImage, 2011.

  8. Ryan M. Hope, Ziheng Wang, Zuoguan Wang, Qiang Ji and Wayne D. Gray.
    Workload Classification Across Subjects Using EEG.
    Proceedings of the Human Factors and Ergonomics Society Annual meeting, 2011.

  9. Ziheng Wang, Ryan M. Hope, Zuoguan Wang, Qiang Ji and Wayne D. Gray.
    An EEG Workload Classifier for Multiple Subjects.
    IEEE Annual International Conference on Engineering in Medicine and Biology (EMBC), 2011.

  10. Zuoguan Wang, Qiang Ji.
    Multi-task Learning of Gaussian Graphical Models for Brain Connectivity by Subject Variability.
    In Preparation.