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34 |
2023 |
 34
2023
Best Design Award
2023 Asian Solid-State Circuits Conference (A-SSCC) Student Design Contest / November 2023
Design : A Resource-Efficient Super-Resolution FPGA Processor with Heterogeneous CNN and SNN Core Architecture
Awardee : Jiwon Choi, Sangyeob Kim, Wonhoon Park, Wooyoung Jo, and Hoi-Jun Yoo
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Best Design Award
2023 Asian Solid-State Circuits Conference (A-SSCC) Student Design Contest / November 2023
Design : A Resource-Efficient Super-Resolution FPGA Processor with Heterogeneous CNN and SNN Core Architecture
Awardee : Jiwon Choi, Sangyeob Kim, Wonhoon Park, Wooyoung Jo, and Hoi-Jun Yoo
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|
33 |
2023 |
 33
2023
Best Paper Award
2023 International Symposium on Circuits and Systems (ISCAS) / May 2023
Design : A 92 fps and 2.56 mJ/Frame Computing-in-Memory-Based Human Pose Estimation Accelerator with Resource-Efficient Macro for Mobile Devices
Awardee : Beomseok Kwon, Zhiyong Li, Sangjin Kim, Wooyoung Jo, and Hoi-Jun Yoo
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Best Paper Award
2023 International Symposium on Circuits and Systems (ISCAS) / May 2023
Design : A 92 fps and 2.56 mJ/Frame Computing-in-Memory-Based Human Pose Estimation Accelerator with Resource-Efficient Macro for Mobile Devices
Awardee : Beomseok Kwon, Zhiyong Li, Sangjin Kim, Wooyoung Jo, and Hoi-Jun Yoo
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|
32 |
2022 |
 32
2022
Distinguished Design Award
2022 Asian Solid-State Circuits Conference (A-SSCC) Student Design Contest / November 2022
Design : An Efficient Unsupervised Learning-based Monocular Depth Estimation Processor with Partial-Switchable Systolic Array Architecture in Edge Devices
Awardee : Wonhoon Park, Dongseok Im, Hankyul Kwon, and Hoi-Jun Yoo
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Distinguished Design Award
2022 Asian Solid-State Circuits Conference (A-SSCC) Student Design Contest / November 2022
Design : An Efficient Unsupervised Learning-based Monocular Depth Estimation Processor with Partial-Switchable Systolic Array Architecture in Edge Devices
Awardee : Wonhoon Park, Dongseok Im, Hankyul Kwon, and Hoi-Jun Yoo
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|
31 |
2022 |
 31
2022
Best Live Demo Award
2022 IEEE International Conference on Artificial Intelligence Circuits and Systems / June 2022
Design : A DNN Training Processor for Rubust Object Detection with Real-World Environmental Adaptation
Awardee : Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, and Hoi-Jun Yoo
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Best Live Demo Award
2022 IEEE International Conference on Artificial Intelligence Circuits and Systems / June 2022
Design : A DNN Training Processor for Rubust Object Detection with Real-World Environmental Adaptation
Awardee : Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, and Hoi-Jun Yoo
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|
30 |
2022 |
 30
2022
Best Paper Award
2022 IEEE International Conference on Artificial Intelligence Circuits and Systems / June 2022
Design : HNPU-V2: A 0.95 mJ/frame DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation
Awardee : Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, and Hoi-Jun Yoo
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Best Paper Award
2022 IEEE International Conference on Artificial Intelligence Circuits and Systems / June 2022
Design : HNPU-V2: A 0.95 mJ/frame DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation
Awardee : Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, and Hoi-Jun Yoo
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|
29 |
2022 |
 29
2022
Outstanding Paper Award
2022 IEEE Custom Integrated Circuits Conference / April 2022
Design : An 0.92 mJ/frame High-quality FHD Super-resolution Mobile Accelerator SoC with Hybrid-precision and Energy-efficient Cache
Awardee : Zhiyong Li, Sangjin Kim, Dongseok Im, Donghyeon Han, and Hoi-Jun Yoo
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Outstanding Paper Award
2022 IEEE Custom Integrated Circuits Conference / April 2022
Design : An 0.92 mJ/frame High-quality FHD Super-resolution Mobile Accelerator SoC with Hybrid-precision and Energy-efficient Cache
Awardee : Zhiyong Li, Sangjin Kim, Dongseok Im, Donghyeon Han, and Hoi-Jun Yoo
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|
28 |
2021 |
 28
2021
Distinguished Design Award
2021 Asian Solid-State Circuits Conference Student Design Contest / November 2021
Design : An Energy-efficient Deep Reinforcement Learning FPGA Accelerator for Online Fast Adaptation with Selective Mixed-precision Re-training
Awardee : Wooyoung Jo, Juhyoung Lee, Seunghyun Park, and Hoi-Jun Yoo
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Distinguished Design Award
2021 Asian Solid-State Circuits Conference Student Design Contest / November 2021
Design : An Energy-efficient Deep Reinforcement Learning FPGA Accelerator for Online Fast Adaptation with Selective Mixed-precision Re-training
Awardee : Wooyoung Jo, Juhyoung Lee, Seunghyun Park, and Hoi-Jun Yoo
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|
27 |
2021 |
 27
2021
Best Paper Award
2021 The Neural Systems and Applications Technical Committee of the IEEE Circuits and Systems Society
Design : A 64.1mW Accurate Real-Time Visual Object Tracking Processor with Spatial Early Stopping on Siamese Network
Awardee : Soyeon Kim, Sangjin Kim, Sangyeob Kim, Donghyeon Han, and Hoi-Jun Yoo
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Best Paper Award
2021 The Neural Systems and Applications Technical Committee of the IEEE Circuits and Systems Society
Design : A 64.1mW Accurate Real-Time Visual Object Tracking Processor with Spatial Early Stopping on Siamese Network
Awardee : Soyeon Kim, Sangjin Kim, Sangyeob Kim, Donghyeon Han, and Hoi-Jun Yoo
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|
26 |
2020 |
 26
2020
Best Design Award
2020 Asian Solid-State Circuits Conference Student Design Contest / November 2020
Design : An Energy-Efficient GAN Accelerator with On-Chip Training for Domain Specific Optimization
Awardee : Soyeon Kim, Sanghoon Kang, Donghyeon Han, Sangyeob Kim, Sangjin Kim, and Hoi-Jun Yoo
|
Best Design Award
2020 Asian Solid-State Circuits Conference Student Design Contest / November 2020
Design : An Energy-Efficient GAN Accelerator with On-Chip Training for Domain Specific Optimization
Awardee : Soyeon Kim, Sanghoon Kang, Donghyeon Han, Sangyeob Kim, Sangjin Kim, and Hoi-Jun Yoo
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|
25 |
2020 |
 25
2020
Gold Prize
The 26th Humantech Paper Award / February 2020
Design : GANPU: A 135TFLOPS/W Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity Exploitation
Awardee : Sanghoon Kang
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Gold Prize
The 26th Humantech Paper Award / February 2020
Design : GANPU: A 135TFLOPS/W Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity Exploitation
Awardee : Sanghoon Kang
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|
24 |
2019 |
 24
2019
Demo Award
2019 Demonstration Session Certificate of Recognition (ISSCC 2020) / February 2020
Design : LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16
Awardee : Jinsu Lee
|
Demo Award
2019 Demonstration Session Certificate of Recognition (ISSCC 2020) / February 2020
Design : LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16
Awardee : Jinsu Lee
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|
23 |
2019 |
 23
2019
Best Paper Award
2019 Best Paper Award(KAIST-Samsung Electronics) / August 2019
Design : UNPU: A 50.6TOPS/W unified deep neural network accelerator with 1b-to-16b fully-variable weight bit-precision
Awardee :Jinmook Lee
|
Best Paper Award
2019 Best Paper Award(KAIST-Samsung Electronics) / August 2019
Design : UNPU: A 50.6TOPS/W unified deep neural network accelerator with 1b-to-16b fully-variable weight bit-precision
Awardee :Jinmook Lee
|
|
22 |
2019 |
 22
2019
Best Paper Award
2019 Best Paper Award(AICAS 2019) / March 2019
Design : CNNP-v2: An Energy Efficient Memory-Centric Convolutional Neural Network Processor Architecture
Awardee :Sungpill Choi
|
Best Paper Award
2019 Best Paper Award(AICAS 2019) / March 2019
Design : CNNP-v2: An Energy Efficient Memory-Centric Convolutional Neural Network Processor Architecture
Awardee :Sungpill Choi
|
|
21 |
2018 |
 21
2018
Demo Award
2018 Demonstration Session Certificate of Recognition (ISSCC 2019) / February 2019
Design : A 9.02mW CNN-Stereo-Based Real-Time 3D Hand-Gesture Recognition Processor for Smart Mobile Devices
Awardee :Sungpill Choi
|
Demo Award
2018 Demonstration Session Certificate of Recognition (ISSCC 2019) / February 2019
Design : A 9.02mW CNN-Stereo-Based Real-Time 3D Hand-Gesture Recognition Processor for Smart Mobile Devices
Awardee :Sungpill Choi
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|
20 |
2018 |
 20
2018
Demo Award
2018 Demonstration Session Certificate of Recognition (ISSCC 2019) / February 2019
Design : UNPU: A 50.6TOPS/W Unified Deep Neural Network Accelerator with 1b-to-16b Fully-Variable Weight Bit-Precision
Awardee :Jinmook Lee, Changhyeon Kim, Sanghoon Kang, Dongjoo Shin, Sangyeob Kim, Hoi-Jun Yoo
|
Demo Award
2018 Demonstration Session Certificate of Recognition (ISSCC 2019) / February 2019
Design : UNPU: A 50.6TOPS/W Unified Deep Neural Network Accelerator with 1b-to-16b Fully-Variable Weight Bit-Precision
Awardee :Jinmook Lee, Changhyeon Kim, Sanghoon Kang, Dongjoo Shin, Sangyeob Kim, Hoi-Jun Yoo
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