Computer Science Software

Zhiqi Ye

*** ******* *** *** #*, Jersey City, NJ 07307 201-***-**** ****@*******.***

EDUCATION:

Stevens Institute of Technology Hoboken, NJ

MS in Computer Science/GPA: 3.74 May 2015

Relevant Courses: Interactive Computer Graphics, Real-Time Rendering,Simulating, Computer Vision,

Visual Information Retrieval, Algorithm, Text Mining.

Xi’an University of Architecture and Technology Xi’an, China

BS in Computer Science/GPA: 3.35 June 2009

Relevant Courses: Data Structures, Object oriented programming, Algorithm, Computer Graphics,

Software Engineering, Web develop.

ACADEMIC PROJECTS:

Image Searching Engine April 2014

• Built a full image search engine,which associates with a 10K image database.

• Provide query-by-image and query-by-word images categories search.

• DenseSIFT function of OpenCV has been used to get the descriptors of each images.

• Locality-constrained Linear Coding(LLC) and Kernel-Based Supervised Hashing algorithm are

used to realize query-by-image. Support Vector Machine(SVM) is used to realize query-by-word.

• TF-IDF is to weighting scheme of each image and to ranking all of the results.

Object Recognition Algorithm May 2014

• Built to test the images and return categories to the system.

• Used SIFT(Scale-invariant feature transform) function from VLFeat library to detect and

extract the descriptors.

• K-means algorithm to calculate convergence cluster center.

• LLC created the images matrix of all descriptors instead of Bag-of-words model.

• Programmed K-Nearest Neighbors(KNN) to select K nearest training images.

OpenGL Rendering Project March 2015

• Built a height map with Grey-scale image and applied Multi-textures rendering with splat mapping.

• Implemented the rotation camera with mouse movement and keyboard input.

• Used 5 Depth Octree structure save the whole environment and implement the partial rendering.

• Built a particle system to generate the flocking boids by instancing.

• Implemented the collision detection for the multiple objects.

WORK EXPERIENCE:

Xi’an University of Architecture and Technology Xi’an, China

Intern, Computer Science Lab, IEEE contest.

IEEE Micro-mouse Contest (Third prize in Electronic Mouse Competition) March 2012

• Development the Micro-mouse searched 16*16 maze independently, and make a spurt from origin

to the exit line.

• Used Weight-flooding Algorithm calculate the shortest path, and left-hand algorithm to search the maze.

• Programmed two-dimensional matrix to save the maze and the shortest path.

SKILLS:

Language: C, C++, C#, GLSL.

Software: Visual Studio, Xcode, SAS Miner, Matlab, Dreamweaver, Photoshop, G++, notepad++, sublime

Operating System: Windows, Mac OS.

Library: OpenCV, OpenGL.

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