Yuji Chai - RankMe

13 papers A* 2B 1Misc 1Journal 5Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FlexQuant: Elastic Quantization Framework for Locally Hosted LLM on Edge Devices. CoRR Yuji Chai, Mujin Kwen, David Brooks, Gu-Yeon Wei
2023	J	`jnl`	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 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
2023	J	`jnl`	INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation. CoRR Yuji Chai, John Gkountouras, Glenn G. Ko, David Brooks, Gu-Yeon Wei
2023	A*	`conf`	Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation. DAC Rongjian Liang, Nathaniel Ross Pinckney, Yuji Chai, Haoxin Ren, Brucek Khailany
2023	J	`jnl`	PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices. CoRR Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough
2022	J	`jnl`	Bigger&Faster: Two-stage Neural Architecture Search for Quantized Transformer Models. CoRR Yuji Chai, Luke Bailey, Yunho Jin, Matthew Karle, Glenn G. Ko
2022	A*	`conf`	CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators. HPCA Yuji Chai, Glenn G. Ko, Wei-Te Mark Ting, Luke Bailey, David Brooks, Gu-Yeon Wei
2021	—	`conf`	9.8 A 25mm ISSCC 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
2021	—	`conf`	SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33 HCS 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
2020	—	`conf`	A 3mm VLSI Circuits Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
2020	—	`conf`	A Scalable Bayesian Inference Accelerator for Unsupervised Learning. Hot Chips Symposium Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, Gu-Yeon Wei, David Brooks
2019	B	`conf`	Accelerating Bayesian Inference on Structured Graphs Using Parallel Gibbs Sampling. FPL Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
2019	Misc	`conf`	FlexGibbs: Reconfigurable Parallel Gibbs Sampling Accelerator for Structured Graphs. FCCM Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei