Deqing Fu

Deqing Fu Email and Phone Number

Student Researcher @ BluelightAI
Los Angeles, CA, US
Deqing Fu's Location
Los Angeles Metropolitan Area, United States
Deqing Fu's Contact Details

Deqing Fu personal email

n/a
About Deqing Fu

Deqing Fu is a Student Researcher at BluelightAI. He possess expertise in python, c, java, latex, research and 5 more skills. He is proficient in Spanish.

Deqing Fu's Current Company Details
BluelightAI

Bluelightai

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Student Researcher
Los Angeles, CA, US
Deqing Fu Work Experience Details
  • Bluelightai
    Student Researcher
    Bluelightai
    Los Angeles, Ca, Us
  • Simons Institute For The Theory Of Computing
    Visiting Graduate Student
    Simons Institute For The Theory Of Computing Nov 2024 - Present
    Berkeley, California, United States
  • Meta
    Research Scientist
    Meta May 2024 - Present
    Menlo Park, California, United States
    GenAI, Multimodal LLM
  • University Of Southern California
    Research Assistant
    University Of Southern California Aug 2022 - Present
    Los Angeles, California, United States
    I'm currently working on Deep Learning Theory, advised by Prof. Vatsal Sharan and Prof. Mahdi Soltanolkotabi. Meanwhile, I'm also working on Natural Language Processing with Prof. Robin Jia.
  • Google
    Intern
    Google May 2023 - Aug 2023
    Mountain View, California, United States
    Bard Multilingual
  • Google
    Software Engineer Intern
    Google May 2022 - Jul 2022
    Mountain View, California, United States
  • University Of Chicago
    Research Assistant
    University Of Chicago Dec 2020 - Mar 2022
    Chicago, Illinois, United States
    Supervised by Prof. Lek-Heng Lim and Dr. Bradley Nelson· Researched on Machine Learning Theory, Topological Data Analysis and Time-Aware Machine Intelligence
  • University Of Chicago
    Research Assistant - Computer Science
    University Of Chicago Jan 2019 - Mar 2022
    Chicago, Illinois, United States
    Supervised by Prof. Michael Maire· Researched on Computer Vision and Deep Learning.· Researched on amodal image segmentation, self-supervised learning and boundary detection.
  • University Of Chicago
    Junior Machine Learning Developer & Research Assistant
    University Of Chicago Sep 2020 - Mar 2021
    Chicago, Illinois, United States
    Supervised by Professor Jason Salavon· Using Generative Adversarial Networks (GANs) to produce meaningful artistic results.· Collaborated in a team to train style transferring networks conditioning on edge maps, facial features, pose key-points, and semantic segmentations. Compared our results with other state-of-the-art methods (DS-Map, StarGAN-v2 and SPADE)trained on both standard datasets (CelebA-HQ and FFHQ) and proprietary television series dataset (ClassicTV).
  • Google
    Software Engineer Intern
    Google Jun 2021 - Sep 2021
  • University Of Chicago
    Course Assistant / Grader
    University Of Chicago Sep 2017 - Jun 2020
    Chicago, Illinois
    · Course Assistant for MATH 15200 (Calculus II, Autumn 2017), MATH 15300 (Calculus III, Winter 2018).· Grader for MATH 20300 (Analysis I, Spring 2018), MATH 19520 (Mathematical Methods for Social Science, Autumn 2018), MATH 20100 (Mathematical Methods for Physical Science, Winter 2019) and STAT 24620 (Multivariate Statistics and Data Analysis, Spring 2020)
  • Industrial Toys
    Summer Software Engineer Intern
    Industrial Toys Jun 2018 - Aug 2018
    Pasadena, California
    · Used Unreal Engine 4 (C++ and Blueprint) to implement game logics for the prototype of a mobile first-person shooter game. · Made tools for other engineers and the art team, and debugged and optimized existing functionalities of the game prototype.
  • Argonne National Laboratory
    Student Research Assistant
    Argonne National Laboratory Jun 2017 - Aug 2017
    Lemont, Illinois
    · Benchmarked Automatic Differentiation efficiency and implemented machine learning codes with such tool. · Presented my research to Argonne scientists and introduced it to the public at the Summer Argonne Students' Symposium. · Submitted a report paper, Comparison of two gradient computation methods in Python, with advisors Dr. Paul Hovland and Dr. Sri Hari Krishna Narayanan, which was accepted as poster at NIPS 2017 Autodiff Workshop.

Deqing Fu Skills

Python C Java Latex Research Machine Learning R Microsoft Office Computer Vision Statistics

Deqing Fu Education Details

Frequently Asked Questions about Deqing Fu

What company does Deqing Fu work for?

Deqing Fu works for Bluelightai

What is Deqing Fu's role at the current company?

Deqing Fu's current role is Student Researcher.

What is Deqing Fu's email address?

Deqing Fu's email address is df****@****ago.edu

What schools did Deqing Fu attend?

Deqing Fu attended University Of Southern California, University Of Chicago, University Of Chicago, High School Affiliated To Nanjing Normal University.

What skills is Deqing Fu known for?

Deqing Fu has skills like Python, C, Java, Latex, Research, Machine Learning, R, Microsoft Office, Computer Vision, Statistics.

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