Yubei Chen

Yubei Chen Email and Phone Number

Assistant Professor @ University of California, Davis
Cupertino, CA, US
Yubei Chen's Location
Cupertino, California, United States, United States
Yubei Chen's Contact Details

Yubei Chen work email

Yubei Chen personal email

About Yubei Chen

I'm interested in understanding human-level intelligence. Before we can figure out the theory of mind, I believe it's necessary to understand the patterns of signals that humans are dealing with. So at this moment, I'm working on finding the elementary mathematical structures of natural signals. There are not many of these structures and each of them is not necessarily complex. But when these simple elements entangle with each other, things quickly exceed the ability of our imagination. My job is to identify and factorize them clearly, concisely and completely, or even uniformly and then mix them together. Thus we can build unsupervised and generative models for the signals, in a somewhat principled way. This might be the first step towards building a truly intelligent machine, which can dream as we do. To be honest, I might be looking for something that doesn't exist though I suspect there is a hidden gem in the mist, very close.I like the Taoism in the Chinese culture and I think it's quite inspiring during my journey voyaging in signal spaces. My favorite philosophical point of view is that "为学日益,为道日损". This is my light in the darkness.

Yubei Chen's Current Company Details
University of California, Davis

University Of California, Davis

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Assistant Professor
Cupertino, CA, US
Employees:
110
Yubei Chen Work Experience Details
  • University Of California, Davis
    Assistant Professor
    University Of California, Davis
    Cupertino, Ca, Us
  • University Of California, Davis
    Assistant Professor
    University Of California, Davis Oct 2023 - Present
    Davis, California, Us
    Assistant Professor, ECE, CS (by courtesy), and Neuroscience (by courtesy)Self-Supervised Learning Lab
  • Aizip
    Co-Founder At Aizip
    Aizip Jan 2020 - Present
    To make everything think by developing robust, efficient, and scalable AI.
  • Nyu Center For Data Science
    Postdoctoral Associate
    Nyu Center For Data Science Oct 2022 - Oct 2023
    New York, Ny, Us
    I continue to work as a postdoc advised by Professor Yann LeCun.
  • Meta
    Postdoctoral Researcher
    Meta Oct 2020 - Oct 2022
    Menlo Park, Ca, Us
    I work with Professor Yann LeCun on unsupervised learning at Meta (Fundamental AI Research, FAIR) and NYU Center for Data Science.
  • University Of California, Berkeley
    Postdoctoral Associate
    University Of California, Berkeley Jan 2020 - Oct 2020
    Berkeley, Ca, Us
    I work with Professor Bruno Olshausen and Professor Friedrich Sommer on unsupervised learning and computational neuroscience. I also work with Professor Stella Yu on computer vision.
  • University Of California, Berkeley
    Graduate Student Researcher
    University Of California, Berkeley Sep 2012 - Dec 2019
    Berkeley, Ca, Us
    I work with Professor Bruno Olshausen on the mathematical models for biological vision and unsupervised learning.
  • Tsinghua University
    Undergraduate Research Assistant
    Tsinghua University May 2010 - Jul 2012
    北京, Beijing, Cn
    Advised by Professor 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 study the architecture level bottle neck for different applications and further explore the potential general improvements.
  • Tsinghua University
    Undergraduate Research Assistant
    Tsinghua University Jul 2010 - Jun 2012
    北京, Beijing, Cn
    I was working with Professor 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.
  • Stanford University
    Ugvr Fellow
    Stanford University Jun 2011 - Aug 2011
    Stanford, Ca, Us
    UGVR is short for the undergraduate visiting research program. I worked on computational physics simulation under the supervision of Professor Ronald Fedkiw in the Computer Graphic Lab. By using a threaded approach, I created a real-time interactive deformable mesh generation with PhysBAM, a large scale physics simulation codebase.

Yubei Chen Skills

Parallel Computing Machine Learning Artificial Intelligence Computer Vision Cuda Robotics Mathematics Unsupervised Learning Dreaming

Yubei Chen Education Details

  • University Of California, Berkeley
    University Of California, Berkeley
    Electrical Engineering And Computer Science
  • University Of California, Berkeley
    University Of California, Berkeley
    Pure Mathematics
  • University Of California, Berkeley
    University Of California, Berkeley
    Electrical Engineering And Computer Science
  • Tsinghua University
    Tsinghua University
    Electrical And Electronics Engineering

Frequently Asked Questions about Yubei Chen

What company does Yubei Chen work for?

Yubei Chen works for University Of California, Davis

What is Yubei Chen's role at the current company?

Yubei Chen's current role is Assistant Professor.

What is Yubei Chen's email address?

Yubei Chen's email address is yu****@****ail.com

What schools did Yubei Chen attend?

Yubei Chen attended University Of California, Berkeley, University Of California, Berkeley, University Of California, Berkeley, Tsinghua University.

What skills is Yubei Chen known for?

Yubei Chen has skills like Parallel Computing, Machine Learning, Artificial Intelligence, Computer Vision, Cuda, Robotics, Mathematics, Unsupervised Learning, Dreaming.

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