Quchen Fu

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

Research Interests

  1. NLP (Semantic Parsing, Machine Translation)
  2. Audio Processing (Speech Interruption Detection, Spoof Detection)
  3. Cloud Computing

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. 2023-present, Applied Scientist, Microsoft
  2. 2020-2023, Research Assistant, Magnum Research Group, Vanderbilt University
  3. 2022, Applied Scientist Intern, Microsoft
  4. 2021-2022, Software Engineer Intern, Intel
  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

  1. Quchen Fu, Szu-Wei Fu, Yaran Fan, Yu Wu, Zhuo Chen, Jayant Gupchup, Ross Cutler, Real-time Speech Interruption Analysis="From Cloud to Client Deployment, ICASSP 2023"
  2. Quchen Fu, Zhongwei Teng, Jules White, Maria Powell, and Douglas Schmidt, FastAudio="A Learnable Audio Frontend for Spoof Speech Detection, ICASSP 2022"
  3. Quchen Fu, Zhongwei Teng, Marco Georgaklis, Jules White and Douglas Schmidt, NL2CMD="An Updated Workflow for Natural Language to Bash Commands Translation, Journal of Machine Learning Theory, Applications and Practice, JMLTAP"
  4. Quchen Fu, Ramesh Chukka, Keith Achorn, Thomas Atta-fosu, Deepak R. Canchi, Zhongwei Teng, Jules White, Douglas C. Schmidt, Deep Learning Models on CPUs="A Methodology for Efficient Training, Journal of Machine Learning Theory, Applications and Practice, JMLTAP"
  5. Quchen Fu, Zhongwei Teng, Jules White and Douglas Schmidt, A Transformer-based Approach for Translating Natural Language to Bash Commands, ICMLA 2021
  6. Zhongwei Teng, Quchen Fu, Jules White, Maria Powell, and Douglas C. Schmidt, SA-SASV="An End-to-End Spoof-Aggregated Spoofing-Aware Speaker Verification System. INTERSPEECH 2022"
  7. Zhongwei Teng, Quchen Fu, Jules White, Maria Powell, and Douglas C. Schmidt, ARawNet="A Lightweight Solution for Leveraging Raw Waveforms in Spoof Speech Detection, ICPR2022"
  8. Zhongwei Teng, Quchen Fu, Jules White, and Douglas C. Schmidt, Sketch2Vis="Generating Data Visualizations from Hand-drawn Sketches with Deep Learning. ICMLA 2021"
  9. Agarwal, M., Chakraborti, T., Quchen Fu, Gros, D., Lin, X.V., Maene, J., Talamadupula, K., Teng, Z., & White, J. NeurIPS 2020 NLC2CMD Competition="Translating Natural Language to Bash Commands, PMLR Volume 133"
  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/

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