Yuji Chai

Joined

May 2023

Names

Yuji Chai (Preferred)

Emails

****@g.harvard.edu (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

PhD student

Harvard University, Harvard University (g.harvard.edu)

2019 – 2025

Undergrad student

University of Illinois Urbana-Champaign (illinois.edu)

2015 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Gu-Yeon Wei

2019 – 2025

PhD Advisor

David Brooks

2019 – 2025

Expertise

No areas of expertise listed

Publications

SpeedLimit: Neural Architecture Search for Quantized Transformer Models
Yuji Chai, Luke Bailey, Yunho Jin, Glenn Ko, Matthew Karle, David Brooks, Gu-Yeon Wei, H. Kung
- ES-FoMO 2023 Poster
- Readers: Everyone
A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
- Published: 01 Jan 2023, Last Modified: 11 May 2023
- IEEE J. Solid State Circuits 2023
- Readers: Everyone
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices
Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough
- Published: 01 Jan 2023, Last Modified: 11 May 2023
- CoRR 2023
- Readers: Everyone
CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators
Yuji Chai, Glenn G. Ko, Wei-Te Mark Ting, Luke Bailey, David Brooks, Gu-Yeon Wei
- Published: 01 Jan 2022, Last Modified: 11 May 2023
- HPCA 2022
- Readers: Everyone
Bigger&Faster: Two-stage Neural Architecture Search for Quantized Transformer Models
Yuji Chai, Luke Bailey, Yunho Jin, Matthew Karle, Glenn G. Ko
- Published: 01 Jan 2022, Last Modified: 11 May 2023
- CoRR 2022
- Readers: Everyone
9.8 A 25mm2 SoC for IoT Devices with 18ms Noise-Robust Speech-to-Text Latency via Bayesian Speech Denoising and Attention-Based Sequence-to-Sequence DNN Speech Recognition in 16nm FinFET
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
- Published: 01 Jan 2021, Last Modified: 11 May 2023
- ISSCC 2021
- Readers: Everyone
SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33rd Hot Chips Symposium - August 22-24, 2021
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
- Published: 01 Jan 2021, Last Modified: 11 May 2023
- HCS 2021
- Readers: Everyone
A Scalable Bayesian Inference Accelerator for Unsupervised Learning
Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, Gu-Yeon Wei, David Brooks
- Published: 01 Jan 2020, Last Modified: 11 May 2023
- Hot Chips Symposium 2020
- Readers: Everyone
A 3mm2 Programmable Bayesian Inference Accelerator for Unsupervised Machine Perception using Parallel Gibbs Sampling in 16nm
Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
- Published: 01 Jan 2020, Last Modified: 11 May 2023
- VLSI Circuits 2020
- Readers: Everyone
FlexGibbs: Reconfigurable Parallel Gibbs Sampling Accelerator for Structured Graphs
Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
- Published: 01 Jan 2019, Last Modified: 11 May 2023
- FCCM 2019
- Readers: Everyone

View all 11 publications

Yuji Chai

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors