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Xin X Xin, 31Atlanta, GA

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Atlanta, GA   

Buffalo Grove, IL   

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Resumes

Resumes

Xin Xin Photo 1

Hardware Engineer Ii At Cisco Systems

Position:
Hardware Engineer II at Cisco Systems
Location:
Blacksburg, Virginia
Industry:
Computer Hardware
Work:
Cisco Systems since May 2013
Hardware Engineer II
Virginia Tech Aug 2010 - May 2013
M.Sc in Electrical Engineering
George Mason University Aug 2008 - Jul 2010
M.Sc in Computer Engineering
Education:
Virginia Polytechnic Institute and State University 2010 - 2013
Master of Science (M.Sc.), Electrical and Electronics Engineering
George Mason University 2008 - 2010
M.Sc, Computer Engineering
Huazhong University of Science and Technology
Skills:
FPGA, VHDL, Verilog, Matlab, DSP, C, Assembly, Xilinx, Altera, ASIC, Perl, LaTeX, Cadence Virtuoso, Linux, Python, TCL, Integrated Circuit Design, Algorithms, Microcontrollers, Electrical Engineering, Embedded Systems, Altera Quartus, Digital Signal Processors, Simulations, PCB design, Pspice, Computer Engineering, ModelSim, Microprocessors, Semiconductors, Labview, Xilinx ISE, Synopsys tools, Circuit Design, Embedded Software, Computer Architecture, VLSI, Compilers, Simulink, Analog Circuit Design, Manufacturing, Shell Scripting, RTL design, C++
Awards:
Presidential Scholarship
George Mason University
Fellowship Awards
George Mason University
Fellowship Awards
Virginia Tech
Xin Xin Photo 2

Visiting Scholar At Unc-J School

Location:
Beijing City, China
Industry:
Higher Education
Skills:
Research, Journalism, Social Media, Teaching, Higher Education
Xin Xin Photo 3

Xin Xin

Location:
United States

Publications

Us Patents

System And Method For Compact Descriptor For Visual Search

US Patent:
2013001, Jan 17, 2013
Filed:
Dec 29, 2011
Appl. No.:
13/340327
Inventors:
Xin Xin - Chicago IL,
Zhu Li - Palatine IL,
Assignee:
FutureWei Technologies, Inc. - Plano TX
International Classification:
G06K 9/46
US Classification:
382191
Abstract:
A method and an apparatus for processing an image generates, using a linear embedding operator, a second set of feature points from a first set of feature points of the image, so that a pair-wise nearest neighbor (NN) topological relationship among the first set of feature points is preserved in the second set of feature points. The linear embedding operator is determined by an affinity model comprising a first affinity parameter, a second affinity parameter, and an affinity matrix, wherein a sparsity of the affinity matrix is controlled by the first affinity parameter and the second affinity parameter.

Image Topological Coding For Visual Search

US Patent:
2013001, Jan 17, 2013
Filed:
Dec 29, 2011
Appl. No.:
13/340398
Inventors:
Zhu Li - Palatine IL,
Xin Xin - Evanston IL,
Aggelos K. Katsaggelos - Chicago IL,
Assignee:
FutureWei Technologies, Inc. - Plano TX
International Classification:
G06T 9/00
G06K 9/48
US Classification:
382197
Abstract:
A method and an apparatus for processing an image generate a first vector of a first number dimension for the image from a first number of points of the image based on topological information of the first number of points, and the first vector for the image is invariant to rotation and scaling in creating the image. The first number of points may be locations of a set of rotation and scaling invariant feature points for the image, and the generated first vector may be a graph spectrum of a pair-wise distance matrix generated from the first number of points of the image.

Scalable Query For Visual Search

US Patent:
2013014, Jun 6, 2013
Filed:
Dec 29, 2011
Appl. No.:
13/340389
Inventors:
Xin Xin - Chicago IL,
Zhu Li - Palatine IL,
Aggelos K. Katsaggelos - Chicago IL,
Assignee:
FutureWei Technologies, Inc. - Plano TX
International Classification:
G06F 17/30
US Classification:
382201
Abstract:
A system and a method for progressive queries, which are a sequence of queries for visual search of an image, sent from a sender to a receiver of a communication network, are disclosed. Queries based on a set of feature points and their associated locations of an image may be selected in sequence. A sender sends a first query to a receiver, wherein the first query comprises a number of feature points which is a subset of the set of feature points of the image invariant to rotation and scaling in creating the image. The sender receives a feedback from the receiver, wherein the feedback is generated by the receiver based on searching an image repository using information from the first query. The sender then decides whether there is a match of the image in the image repository based on the received feedback.

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