Project:Sandbox

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Yubei Chen

Graduate Student Researcher at UC Berkeley

Summary

I'm extremely interested in understanding human-level intelligence. Towards this goal, I'm now working on

sparse coding and neural computation. I'm also excited about any other theories and works which are pushing

the front edge of AI. Supported by my previous background in computer engineering, the state-of-the-art

parallel computing system will become my powerful tool to do large-scale and advanced simulation. Please do

not hesitate to contact me, if you have similar interests.

Experience

Graduate Student Researcher at UC Berkeley

August 2012 - Present (1 year 8 months)

I'm now working on sparse coding and other mathematical models related to understanding human-level

intelligence.

Undergraduate Research Assistant at Tsinghua University

May 2010 - July 2012 (2 years 3 months)

Supervised by Prof. Yangdong Deng, I was focusing on parallel embedded system research. There were two

general approaches for me. On one hand, I was trying to parallelize some existing main stream algorithms on

the state of the art parallel computing architectures like GPUs in order to achieve satisfiable performance. On

the other hand, I used a circle accurate GPGPU simulator (GPGPUsim) to understand the architecture level

bottle neck for different applications and further explore the potential general improvement.

Undergraduate Research Assistant at Tsinghua University

July 2010 - June 2012 (2 years)

I was working with Prof. Wenguang Chen and Dr. Chuntao Hong in PACMAN Lab. My main focus here is

to develop high performance and user-friendly parallel programming framework on different emerging

computing architectures like GPUs and Single Cloud Computers.

Undergraduate Visiting Research at Stanford University

July 2011 - August 2011 (2 months)

In the summer of 2011, I was elected as one of the twelve students from China mailand to participate in

Stanford Undergraduate Visiting Research (UGVR) Program. I worked on computational physics simulation

under the supervision of Prof. Ronald Fedkiw in the Computer Graphic Lab. By using a threaded approach, I

created a real-time interactive deformable mesh generation, which will be released as a part of PhysBAM, a

large scale physics simulation code base which contains more than 300,000 lines of code.

Page1Skills & Expertise

Parallel Computing

Matlab

Machine Learning

Artificial Intelligence

CUDA

C++

Computer Science

Verilog

Computer Vision

Convex Optimization

Statistical Signal Processing

Neural Computation

Control Theory

Robotics

SPICE

C#

Java

Android

Software Development

VHDL

Hspice

Education

University of California, Berkeley

Doctor of Philosophy (Ph.D.), Computer Science, 2012 - 2017

Tsinghua University

Bachelor of Engineering (B.E.), Electrical and Electronics Engineering, 2008 - 2012

Activities and Societies: Electrical Engineering Student Association of Science and Technology

No.2 High School, Hebei, China

2005 - 2008

Honors and Awards

UC Berkeley EECS Chair's Excellence Award, Sep. 2012

NSF Graduate Research Fellowship, Apr. 2012

1st Class Tsinghua University Comprehensive Schalorship, Oct. 2011

2nd Prize, NVIDIA China University GPU Programming Contest, Dec. 2010

2nd Prize, Challenge Cup, Matrix 3D Motion Capture and Virtual Reality System, Apr. 2011

1st Prize, Challenge Cup, HRTF Based Multi-channel Stereo Earphone on FPGA, Apr. 2011

2nd Prize, Challenge Cup, Parallel Logic Simulator on G