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SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators


Jan 25, 2023
Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee

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* To appear at HPCA'23 

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Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression


Jan 24, 2023
Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee

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* Accepted to ASPLOS'23 

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Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators


Jan 24, 2023
Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee

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* Published at PACT'22 

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Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration


Jan 23, 2023
Deokki Hong, Kanghyun Choi, Hye Yoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee

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* publisehd at DAC'22 

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ETF Portfolio Construction via Neural Network trained on Financial Statement Data


Jul 04, 2022
Jinho Lee, Sungwoo Park, Jungyu Ahn, Jonghun Kwak

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Shai-am: A Machine Learning Platform for Investment Strategies


Jul 01, 2022
Jonghun Kwak, Jungyu Ahn, Jinho Lee, Sungwoo Park

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* 5 pages, 2 figures 

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It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher


Apr 01, 2022
Kanghyun Choi, Hye Yoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee

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* selected for an oral presentation at CVPR 2022 

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Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples


Nov 04, 2021
Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee

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* Accepted to Neurips 2021 

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An Attention Module for Convolutional Neural Networks


Aug 18, 2021
Zhu Baozhou, Peter Hofstee, Jinho Lee, Zaid Al-Ars

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AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression


May 25, 2021
Baozhou Zhu, Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Alars

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