Quchen Fu

Ph.D. Student
Dept. of Computer Science
Vanderbilt University
quchen.fu@vanderbilt.edu

Research Interests

  1. Cybersecurity
  2. Cyber-physical Systems
  3. Cloud Computing
  4. Deep Learning
  5. Software Engineering

Educational

  1. May 2024 - Enrolled Ph.D., Computer Science, Vanderbilt University
  2. May 2020 - MS, Mechanical Engineering-Research, Carnegie Mellon University
  3. June 2018 - BA, Mechanical Engineering, Huazhong University of Science & Technology

Work Experience

  1. 2020-present, Research Assistant, Magnum Research Group, Vanderbilt University
  2. 2020, Teaching Assistant, Cybersecurity, Vanderbilt University
  3. 2019-2020, Teaching Assistant, Cloud Computing, Carnegie Mellon University
  4. 2019-2020, Research Assistant, Teel Lab, Carnegie Mellon University
  5. 2019, Backend Developer Intern, TEG, Tencent

Publications

  1. #
  2. Ruirui Song, Ran Li, Quchen Fu, Performance Analysis of Line Laser Sensor for Aeroengine Blade Inspection, 2017 International Conference on Artificial Intelligence, Automation and Control Technologies

Awards

  1. Quchen Fu, Zhongwei Teng, Jules White, 1st prize, NLC2CMD trak in Neural Information Processing Systems Conference (NeurIPS), 2020

Selected Press

  1. The following is a list of the press coverage that the research and teaching projects I have worked on have received-
  2. Coders worldwide help computers understand natural language, IBM Research Blog, https://www.ibm.com/blogs/research/2020/12/ai-natural-language-competition/
  3. Computer science team wins global contest with AI model that translates English to code, Vanderbilt Engineering News, https://engineering.vanderbilt.edu/news/2020/computer-science-team-wins-global-contest-with-ai-model-that-translates-english-to-code/

Interested in what we do? Read Our Papers