Yingrong Xie

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In many autonomous underwater vehicle (AUV) applications, a basic problem is to determine the AUV's position accurately. Terrain aided navigation, which supports the existing inertial navigation system with terrain information, is a promising method. In this thesis, the Kalman filter and the Bayesian approach implemented as point mass filter are used in(More)
3:50 PM VII-B.-1 Invited Paper Nanoelectronic Neurocomputing: Status and Prospects L. Ceze, J. Hasler, K. K. Likharev, J.-s. Seo, T. Sherwood, D. Strukov*, Y. Xie, and S. Yu 1 University of Washington, Seattle WA 98195-2350, U.S.A.; 2 Georgia Institute of Technology, Atlanta GA 30332-0250, U.S.A.; 3 Stony Brook University, Stony Brook, NY 11794-3800,(More)
Potential advantages of specialized hardware for neuromorphic computing had been recognized several decades ago (see, e.g., Refs. [1, 2]), but the need for it became especially acute recently, due to significant advances of the computational neuroscience and machine learning. The most vivid example is given by the deep learning in convolution neuromorphic(More)
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