Shu-wen Yang
Scholar

Shu-wen Yang

Google Scholar ID: R1mNI8QAAAAJ
National Taiwan University
speech processingrepresentation learningself-supervised learningfoundation modelbenchmark
Citations & Impact
All-time
Citations
2,527
 
H-index
14
 
i10-index
16
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Publications: Published over 10 papers in top-tier conferences and journals such as Interspeech, ICASSP, TASLP, ICML, and ICLR. Citations: Over 2,500 citations on Google Scholar with an h-index of 14. Organized Events: Co-organized several academic workshops and challenges, including SUPERB Challenge @ IEEE SLT 2022 and SPARKS Workshop @ IEEE ASRU 2023. Awards: Recipient of the Google Ph.D. Fellowship in 2024.
Research Experience
  • Project Coordinator (Research and Engineering Lead): SUPERB (Speech processing Universal PERformance Benchmark), Co-founder of the S3PRL Toolkit.
Education
  • Degree: Ph.D.; Institution: National Taiwan University; Advisors: Prof. Hung-yi Lee, Prof. Lin-shan Lee; Time: Final year; Major: Computer Science.
Background
  • Research Interests: Speech representation (understanding/generation), speech-to-speech LLMs (training/post-training), and speech/audio generative models. Profile: Ph.D. candidate in computer science at National Taiwan University, looking for a full-time research scientist position starting July 2026.
Miscellany
  • Specific hobbies and interests not mentioned.