Kai Zhen
Scholar

Kai Zhen

Google Scholar ID: biSonYMAAAAJ
Amazon, IUB
Speech & AudioEdge AICompressionLLM Training
Citations & Impact
All-time
Citations
347
 
H-index
11
 
i10-index
13
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published papers in several AI and speech venues such as ACL, EMNLP, Interspeech, ICASSP, and IEEE SLT, and co-authored patents. 3 papers accepted at EMNLP 2025 on Efficient and Robust LLM Pre-Training (with UCSB collaboration).
Research Experience
  • Worked on efficient speech-processing models for Alexa devices at Amazon. Improved model size, latency, and accuracy in production systems through research in neural efficiency.
Education
  • Ph.D. in Computer Science and Cognitive Science from Indiana University, where he worked on neural waveform coding inspired by human learning.
Background
  • Senior Applied Scientist at Amazon AGI, working on large-language-model (LLM) training that blends speech and audio toward more natural, interactive intelligence. Led research in neural efficiency, developing sub-8-bit quantization-aware training and sparsification methods.
Miscellany
  • Enjoys indoor and outdoor sports, interacting with nature, which is key to approaching the meaning of life. Likes singing with or without an audience, whether it's a live band or in the shower.
Co-authors
0 total
Co-authors: 0 (list not available)