Flattening-based mapping of imperfect loop nests for CGRAs? - Jongeun Lee; Seongseok Seo; Hongsik Lee; Hyeon Uk Sim (CODES+ISSS, 2014)

Mapping Imperfect Loops to Coarse-Grained Reconfigurable Architectures. - Hyeon Uk Sim; Hongsik Lee; Seongseok Seo; Jongeun Lee (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Efficient High-Level Synthesis for Nested Loops of Nonrectangular Iteration Spaces. - Hyeon Uk Sim; Atul Rahman; Jongeun Lee (IEEE Trans. Very Large Scale Integr. Syst., 2016)

Scalable stochastic-computing accelerator for convolutional neural networks. - Hyeon Uk Sim; Dong Nguyen 001; Jongeun Lee; Kiyoung Choi (ASP-DAC, 2017)

A New Stochastic Computing Multiplier with Application to Deep Convolutional Neural Networks. - Hyeon Uk Sim; Jongeun Lee (DAC, 2017)

FPGA implementation of convolutional neural network based on stochastic computing. - Daewoo Kim; Mansureh S. Moghaddam; Hossein Moradian; Hyeon Uk Sim; Jongeun Lee; Kiyoung Choi (FPT, 2017)

DPS: dynamic precision scaling for stochastic computing-based deep neural networks. - Hyeon Uk Sim; Saken Kenzhegulov; Jongeun Lee (DAC, 2018)

Sign-magnitude SC: getting 10X accuracy for free in stochastic computing for deep neural networks. - Aidyn Zhakatayev; Sugil Lee; Hyeon Uk Sim; Jongeun Lee (DAC, 2018)

XOMA: exclusive on-chip memory architecture for energy-efficient deep learning acceleration. - Hyeon Uk Sim; Jason Helge Anderson; Jongeun Lee (ASP-DAC, 2019)

Log-quantized stochastic computing for memory and computation efficient DNNs. - Hyeon Uk Sim; Jongeun Lee (ASP-DAC, 2019)

Successive Log Quantization for Cost-Efficient Neural Networks Using Stochastic Computing. - Sugil Lee; Hyeon Uk Sim; Jooyeon Choi; Jongeun Lee (DAC, 2019)

Cost-effective stochastic MAC circuits for deep neural networks. - Hyeonuk Sim; Jongeun Lee (Neural Networks, 2019)

SparTANN: sparse training accelerator for neural networks with threshold-based sparsification. - Hyeonuk Sim; Jooyeon Choi; Jongeun Lee (ISLPED, 2020)

Automated Log-Scale Quantization for Low-Cost Deep Neural Networks. - Sangyun Oh; Hyeonuk Sim; Sugil Lee; Jongeun Lee (CVPR, 2021)

Non-uniform Step Size Quantization for Accurate Post-training Quantization. - Sangyun Oh; Hyeonuk Sim; Jounghyun Kim; Jongeun Lee (ECCV (11), 2022)

MLogNet: A Logarithmic Quantization-Based Accelerator for Depthwise Separable Convolution. - Jooyeon Choi; Hyeonuk Sim; Sangyun Oh; Sugil Lee; Jongeun Lee (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

FlexInt: A New Number Format for Robust Sub-8-Bit Neural Network Inference. - Minuk Hong; Hyeonuk Sim; Sugil Lee; Jongeun Lee (ICCAD, 2024)