| International Journal Papers |
| Myeonggu Kang, Hyeonuk Kim, Hyein Shin, Jaehyeong Sim, Kyeonghan Kim, Lee-Sup Kim |
| S-FLASH: A NAND Flash-based Deep Neural Network Accelerator Exploiting Bit-level Sparsity |
| IEEE Transactions on Computers, 2022 |
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| Yeongjae Choi, Jaehyeong Sim, Lee-Sup Kim |
| CREMON: Cryptography Embedded on the Convolutional Neural Network Accelerator |
| IEEE Transactions on Circuits and Systems II: Express Briefs, 2020 |
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| Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim |
| An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In-Situ Personalization on Smart Devices |
| IEEE Journal of Solid-State Circuits, 2020 |
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| Jaehyeong Sim, Somin Lee, Lee-Sup Kim |
| An Energy-Efficient Deep Convolutional Neural Network Inference Processor with Enhanced Output Stationary Dataflow in 65-nm CMOS |
| IEEE Transactions on Very Large Scale Integration Systems, 2020 |
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| Yeongjae Choi, Dongmyung Bae, Jaehyeong Sim, Seungkyu Choi, Minhye Kim, Lee-Sup Kim |
| Energy-efficient design of processing element for convolutional neural network |
| IEEE Transactions on Circuits and Systems II, 2017 |
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| Taeho Lee, Yong-Hun Kim, Jaehyeong Sim, Jun-Seok Park, Lee-Sup Kim |
| A 5 Gb/s 2.67 mW/Gb/s Digital Clock and Data Recovery with Hybrid Dithering Using a Time-Dithered Delta-Sigma Modulator |
| IEEE Transactions on Very Large Scale Integration Systems, 2016 |
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| Seungwook Paek, Wongyu Shin, Jaehyeong Sim, Lee-Sup Kim |
| PowerField: A Probabilistic Approach for Temperature-to-Power Conversion based on Markov Random Field Theory |
| IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2013 |
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| International Conference Papers |
| Kyeonghan Kim, Hyein Shin, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim |
| An Energy-efficient Processing-in-memory Architecture for Long Short Term Memory in Spin Orbit Torque MRAM |
| IEEE/ACM International Conference On Computer Aided Design, 2019 |
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| Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim |
| A 47.4uJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices |
| IEEE Asian Solid-State Circuits Conference, 2019 |
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| Hyein Shin, Jaehyeong Sim, Daewoong Lee, Lee-Sup Kim |
| A PVT-robust Customized 4T Embedded DRAM Cell Array for Accelerating Binary Neural Networks |
| IEEE/ACM International Conference On Computer Aided Design, 2019 |
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| Youngbeom Jung, Yeongjae Choi, Jaehyeong Sim, Lee-Sup Kim |
| eSRCNN: A Framework for Optimizing Super-Resolution Tasks on Diverse Embedded CNN Accelerators |
| IEEE/ACM International Conference On Computer Aided Design, 2019 |
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| Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim |
| NAND-Net: Minimizing Computational Complexity of In-Memory Processing for Binary Neural Networks |
| IEEE International Symposium on High-Performance Computer Architecture, 2019 |
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| Jaehyeong Sim, Hoseok Seol, Lee-Sup Kim |
| NID: Processing Binary Convolutional Neural Network in Commodity DRAM |
| ACM/IEEE International Conference On Computer Aided Design, 2018 |
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| Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim |
| TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training |
| ACM/IEEE International Symposium on Low Power Electronics and Design, 2018 |
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| Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim |
| A Kernel Decomposition Architecture for Binary-weight Convolutional Neural Networks |
| ACM/IEEE Design Automation Conference, 2017 |
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| Myunghoon Choi, Seungkyu Choi, Jaehyeong Sim, Lee-Sup Kim |
| SENIN: An Energy-Efficient Sparse Neuromorphic System |
| The International Symposium on Low Power Electronics and Design , 2017 |
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| Jaehyeong Sim, Jun-Seok Park, Minhye Kim, Dongmyung Bae, Yeongjae Choi, Lee-Sup Kim |
| A 1.42TOPS/W Deep Convolutional Neural Network Recognition Processor for Intelligent IoE Systems |
| IEEE International Solid-State Circuit Conference, 2016 |
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| Jaehyeong Sim, Jun-Seok Park, Seungwook Paek, Lee-Sup Kim |
| Timing Error Masking by Exploiting Operand Value Locality in SIMD Architecture (Best Paper Award) |
| IEEE International Conference on Computer Design, 2014 |
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| Seungwook Paek, Seok-Hwan Moon, Wongyu Shin, Jaehyeong Sim, Lee-Sup Kim |
| PowerField: A Transient Temperature-to-Power Technique based on Markov Random Field Theory |
| ACM/IEEE Design Automation Conference, 2012 |
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