University of Science and Technology of China, Aug 2008 - June 2012

School of Information Science & Technology
Department of Electronic Engineering and Information Science(EEIS)
B.E Degree, June 2012
Major: Electronic and Information Engineering

University of Science and Technology of China, July 2012 - June 2017 (Expected)

School of Information Science & Technology
Department of Electronic Engineering and Information Science(EEIS)
Multimedia Computing and Communication Lab
Ph.D. Candidate
Advisors: Prof. Jiebo Luo, Prof. Houqiang Li, Dr. Tao Mei

Research Intern - Microsoft Research Asia, June 2011 - June 2012

Innovation Engineering Group
Mentor: Xin Zou (Principal Development Manager)

Research Intern - Microsoft Search Technology Center & Microsoft Research Asia, Oct 2013 - NOW

STCA Core Search - Multimedia Search and Mining
Mentor: Tao Mei (Lead Researcher)

Sign Language Recognition

To be continued

Microsoft FaceSDK

Microsoft Research Face SDK integrates the latest face technologies from Microsoft research teams. It provides state-of-the-art algorithms to process face images, like face detection, alignment, tracking, and cartoon generation. [Project Website]

Face Party - Face Touch

Create funny facial expressions by poking different parts, unlock different steps and solve the final mystery!
This app uses face-related technologies from Microsoft Research. For best results, please select a photo with frontal faces in good lighting condition.

Main Features:
• Tap your face to create funny facial expressions
• Multi-face detection
• Integrated with Pictures Hub
• Share your photos on Facebook, Twitter, SkyDrive or Sina Weibo

For more information, please refer to Face Touch

Microsoft Academic Search

Microsoft Academic Search is a free academic search engine developed by Microsoft Research. It covers more than 48 million publications and over 20 million authors across a variety of domains with updates added each week. This large collection of data has also allowed users to create several innovative ways to visualize and explore academic papers, authors, conferences, and journals. [Project Website]

Computer Vision

Project 1. Feature Detection and Description, C# [Description] [Download]

Project 2. 360 Panorama(Image Stitching), C# [Description] [Download]

Project 3. Eigenfaces, C++ [Description] [Download]

Computer Graphics

The final project is implemented in C++, based on CImg Library [Download]

Data Mining

Movie Recommender System, implemented in C# [Slides] [Source code]

AForge.NET

AForge.NET is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.[Link]

Accord.NET

Accord.NET is a framework for scientific computing in .NET. The framework builds upon AForge.NET, an also popular framework for image processing, supplying new tools and libraries. Those libraries encompass a wide range of scientific computing applications, such as statistical data processing, machine learning, pattern recognition, including but not limited to, computer vision and computer audition. The framework offers a large number of probability distributions, hypothesis tests, kernel functions and support for most popular performance measurements techniques.[Link]

The CImg Library

The CImg Library is a small, open source, C++ toolkit for image processing.[Link]

LibGDX

Libgdx is a cross-platform game development library written in Java, with some JNI code for performance hungry sections. It abstracts away the differences between writting desktop, Android, iOS and HTML5 games based on standards like OpenGL ES/WebGL. Applications can be prototyped and developed entirely on the desktop, then only 6 lines of code are needed to run your app on Android or HTML5.[Link]

Shark Machine Learning Library

SHARK is a fast, modular, feature-rich open-source C++ machine learning library. It provides methods for linear and nonlinear optimization, kernel-based learning algorithms, neural networks, and various other machine learning techniques (see the feature list below). It serves as a powerful toolbox for real world applications as well as research.[Link]