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Sugil Lee

Text Mining for Patent Analysis to Forecast Emerging Technologies in Wireless Power Transfer
2019 · Ki Hong Kim, Young Jae Han, et al. · Sustainability · 71
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Double MAC on a DSP: Boosting the Performance of Convolutional Neural Networks on FPGAs
2018 · Sugil Lee, Daewoo Kim, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 54
Sign-Magnitude SC: Getting 10X Accuracy for Free in Stochastic Computing for Deep Neural Networks
2018 · Aidyn Zhakatayev, Sugil Lee, et al. · ACM/IEEE Design Automation Conference (DAC) · 49
Learning to Predict IR Drop with Effective Training for ReRAM-based Neural Network Hardware
2020 · Sugil Lee, Giju Jung, et al. · ACM/IEEE Design Automation Conference (DAC) · 46
IR-QNN Framework: An IR Drop-Aware Offline Training of Quantized Crossbar Arrays
2020 · Mohammed E. Fouda, Sugil Lee, et al. · IEEE Access · 42
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Mask Technique for Fast and Efficient Training of Binary Resistive Crossbar Arrays
2019 · Mohammed E. Fouda, Sugil Lee, et al. · IEEE Transactions on Nanotechnology · 42
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks
2021 · Sangyun Oh, Hyeonuk Sim, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 35
Exploring Future Promising Technologies in Hydrogen Fuel Cell Transportation
2022 · Hyewon Yang, Young Jae Han, et al. · Sustainability · 30
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Successive Log Quantization for Cost-Efficient Neural Networks Using Stochastic Computing
2019 · Sugil Lee, Hyeonuk Sim, et al. · ACM/IEEE Design Automation Conference (DAC) · 27
Identifying Technology Opportunities for Electric Motors of Railway Vehicles with Patent Analysis
2021 · Yunkoo Cho, Young Jae Han, et al. · Sustainability · 26
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Cost- and Dataset-free Stuck-at Fault Mitigation for ReRAM-based Deep Learning Accelerators
2021 · Giju Jung, Mohammed Fouda, et al. · Design, Automation, and Test in Europe · 23
NTT-PIM: Row-Centric Architecture and Mapping for Efficient Number-Theoretic Transform on PIM
2023 · Jaewoo Park, Sugil Lee, et al. · ACM/IEEE Design Automation Conference (DAC) · 19
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Offline Training-Based Mitigation of IR Drop for ReRAM-Based Deep Neural Network Accelerators
2022 · Sugil Lee, Mohammed E. Fouda, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 17
Training-Free Stuck-At Fault Mitigation for ReRAM-Based Deep Learning Accelerators
2022 · Chenghao Quan, Mohammed E. Fouda, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 15
Promising Technology Analysis and Patent Roadmap Development in the Hydrogen Supply Chain
2022 · Jiwon Yu, Young Jae Han, et al. · Sustainability · 10
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MLogNet: A Logarithmic Quantization-Based Accelerator for Depthwise Separable Convolution
2022 · Jooyeon Choi, Hyeonuk Sim, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 10
Accurate Prediction of ReRAM Crossbar Performance Under I-V Nonlinearity and IR Drop
2022 · Sugil Lee, Mohammed E. Fouda, et al. · IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD) · 8
Architecture-Accuracy Co-optimization of ReRAM-based Low-cost Neural Network Processor
2020 · Segi Lee, Sugil Lee, et al. · ACM Great Lakes Symposium on VLSI (GLSVLSI) · 8
Fast and Low-Cost Mitigation of ReRAM Variability for Deep Learning Applications
2021 · Sugil Lee, Mohammed Fouda, et al. · IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD) · 7
Mitigating the Impact of ReRAM I-V Nonlinearity and IR Drop via Fast Offline Network Training
2024 · Sugil Lee, Mohammed E. Fouda, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 4
Analysis of Research Trends of Wireless Power Transfer System for Locomotives Using Topic Modeling Based on LDA Algorithm
2019 · Soomin Eum, Sugil Lee, et al. · Journal of Korean Institute of Industrial Engineers · 4
Multi-Fidelity Nonideality Simulation and Evaluation Framework for Resistive Neuromorphic Computing
2022 · Chenghao Quan, Mohammed E. Fouda, et al. · Asilomar Conference on Signals, Systems and Computers (ACSSC) · 3
Development of cold energy utilization of liquid hydrogen for a locomotive by pre-experimental approach
2024 · Daehoon Kang, Gildong Kim, et al. · Journal of Mechanical Science and Technology · 2
FlexInt: A New Number Format for Robust Sub-8-Bit Neural Network Inference
2024 · Minuk Hong, Hyeonuk Sim, et al. · 1
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PyAIM: Pynq-Based Scalable Analog In-Memory Computing Prototyping Platform
2024 · Minsang Yu, Minuk Hong, et al. · IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
Works count: 28
Citation count: 553
H-index: 14
I10-index: 16
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