Quchen Fu

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

Research Interests

  1. NLP (Semantic Parsing, Machine Translation, Speech Interruption Detection)
  2. Secure AI (Spoof Detection)
  3. Cloud Computing
  4. Deep Learning

Educational

  1. May 2023 - Enrolled Ph.D., Computer Science, Vanderbilt University
  2. May 2020 - MS, Carnegie Mellon University
  3. June 2018 - BA, Huazhong University of Science & Technology

Work Experience

  1. 2020-present, Research Assistant, Magnum Research Group, Vanderbilt University
  2. 2022, Applied Scientist Intern, Microsoft
  3. 2021-2022, Deep Learning Software Engineer Intern, Intel
  4. 2020, Teaching Assistant, Cybersecurity, Vanderbilt University
  5. 2019-2020, Teaching Assistant, Cloud Computing, Carnegie Mellon University
  6. 2019-2020, Research Assistant, Teel Lab, Carnegie Mellon University
  7. 2019, Backend Developer Intern, TEG, Tencent

Publications

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  5. Quchen Fu, Zhongwei Teng, Jules White and Douglas Schmidt, A Transformer-based Approach for Translating Natural Language to Bash Commands, ICMLA 2021
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  10. Yu Yao, Maria Powell, Jules White, Jian Feng, Quchen Fu, Peng Zhang, and Douglas C. Schmidt. An Exploration of Rare Voice Disorder Diagnosis with Multi-stage Transfer Learning
  11. Gilbert, H.; White, J.; Fu, Q. and Schmidt, D. (2022). Using LSTM Networks and Future Gradient Values to Forecast Heart Rate in Biking. In Proceedings of the 10th International Conference on Sport Sciences Research and Technology Support - icSPORTS

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