Scholar
Kai Zhen
Google Scholar ID: biSonYMAAAAJ
Amazon, IUB
Citations & Impact
Citations
347
H-index
11
i10-index
13
Publications
20
Co-authors
0
Contact
Publications
Resume
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.