Yuji Chai

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Top Venues

Publications

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
A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs. IEEE J. Solid State Circuits 58 (2) (2023)
Yuji Chai, John Gkountouras, Glenn G. Ko, David Brooks, Gu-Yeon Wei
INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation. CoRR (2023)
Rongjian Liang, Nathaniel Ross Pinckney, Yuji Chai, Haoxin Ren, Brucek Khailany
Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation. DAC (2023)
Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices. CoRR (2023)
Yuji Chai, Luke Bailey, Yunho Jin, Matthew Karle, Glenn G. Ko
Bigger&Faster: Two-stage Neural Architecture Search for Quantized Transformer Models. CoRR (2022)
Yuji Chai, Glenn G. Ko, Wei-Te Mark Ting, Luke Bailey, David Brooks, Gu-Yeon Wei
CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators. HPCA (2022)
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
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. ISSCC (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
Hot Chips Symposium - August 22-24, 2021. HCS (2021)
Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, Gu-Yeon Wei, David Brooks
A Scalable Bayesian Inference Accelerator for Unsupervised Learning. Hot Chips Symposium (2020)
Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
Programmable Bayesian Inference Accelerator for Unsupervised Machine Perception using Parallel Gibbs Sampling in 16nm. VLSI Circuits (2020)
Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
Accelerating Bayesian Inference on Structured Graphs Using Parallel Gibbs Sampling. FPL (2019)
Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
FlexGibbs: Reconfigurable Parallel Gibbs Sampling Accelerator for Structured Graphs. FCCM (2019)