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2020 – today
- 2026
[j2]Kanghyun Choi
, Deokki Hong, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
DANCE++: Differentiable Accelerator/Network Co-Exploration With Hard Constraints and Data-Free Training for Real-World Scenarios. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 45(2): 915-928 (2026)- 2024
- [c19]Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi:
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. AAAI 2024: 2795-2803 - [c18]Beomyoung Kim, Joonsang Yu, Sung Ju Hwang:
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. CVPR 2024: 3346-3356 - [c17]Seungchul Lee, Namje Kim, Yonghan Kim, Miran Park, Jun-Hwan Shin, O-Kyun Kwon, Kihong Yoon, Mihee Hwang, Joonsang Yu:
Cost-effective IA-EML for 5G-advanced and 6G Fronthaul Networks. ICTC 2024: 1430-1431 - [c16]Seungchul Lee, Namje Kim, Miran Park, Kihong Yoon, Mihee Hwang, Joonsang Yu, Sangho Lee, O-Kyun Kwon:
400G cost-effective EML for B5G/6G Fronthaul Network. OFC 2024: 1-3 - [c15]Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo:
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. WACV 2024: 977-987 - [i12]Beomyoung Kim, Joonsang Yu, Sung Ju Hwang:
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. CoRR abs/2403.20126 (2024) - [i11]Beomyoung Kim, Myeong-Yeon Yi, Joonsang Yu, Young Joon Yoo, Sung Ju Hwang:
Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting. CoRR abs/2404.00921 (2024) - [i10]Beomyoung Kim, Chanyong Shin, Joonhyun Jeong, Hyungsik Jung, Se-Yun Lee, Sewhan Chun, Dong-Hyun Hwang, Joonsang Yu:
ZIM: Zero-Shot Image Matting for Anything. CoRR abs/2411.00626 (2024) - 2023
- [c14]Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee:
Pipe-BD: Pipelined Parallel Blockwise Distillation. DATE 2023: 1-6 - [c13]Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo:
GeNAS: Neural Architecture Search with Better Generalization. IJCAI 2023: 911-919 - [i9]Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration. CoRR abs/2301.09312 (2023) - [i8]Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee:
Pipe-BD: Pipelined Parallel Blockwise Distillation. CoRR abs/2301.12443 (2023) - [i7]Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo:
GeNAS: Neural Architecture Search with Better Generalization. CoRR abs/2305.08611 (2023) - [i6]Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi:
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. CoRR abs/2312.16388 (2023) - 2022
- [c12]Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CVPR 2022: 8301-8311 - [c11]Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi:
NN-LUT: neural approximation of non-linear operations for efficient transformer inference. DAC 2022: 577-582 - [c10]Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
Enabling hard constraints in differentiable neural network and accelerator co-exploration. DAC 2022: 589-594 - [i5]Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CoRR abs/2203.17008 (2022) - [i4]Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo:
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. CoRR abs/2204.01209 (2022) - 2021
- [c9]Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee:
DANCE: Differentiable Accelerator/Network Co-Exploration. DAC 2021: 337-342 - [i3]Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi:
NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference. CoRR abs/2112.02191 (2021) - 2020
- [i2]Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee:
DANCE: Differentiable Accelerator/Network Co-Exploration. CoRR abs/2009.06237 (2020)
2010 – 2019
- 2019
- [c8]Joonsang Yu, Sungbum Kang, Kiyoung Choi:
Network Recasting: A Universal Method for Network Architecture Transformation. AAAI 2019: 5701-5708 - [c7]Gunhee Lee, Hanmin Park, Namhyung Kim, Joonsang Yu, Sujeong Jo, Kiyoung Choi:
Acceleration of DNN Backward Propagation by Selective Computation of Gradients. DAC 2019: 85 - 2018
- [c6]Sungbum Kang, Joonsang Yu, Kiyoung Choi:
Tapered-Ratio Compression for Residual Network. ISOCC 2018: 72-73 - [i1]Joonsang Yu, Sungbum Kang, Kiyoung Choi:
Network Recasting: A Universal Method for Network Architecture Transformation. CoRR abs/1809.05262 (2018) - 2017
- [j1]Hossein Moradian, Jeong-A Lee, Joonsang Yu:
Efficient Low-Cost Fault-Localization and Self-Repairing Radix-2 Signed-Digit Adders Applying the Self-Dual Concept. J. Signal Process. Syst. 88(3): 297-309 (2017) - [c5]Joonsang Yu, Kyounghoon Kim, Jongeun Lee, Kiyoung Choi:
Accurate and Efficient Stochastic Computing Hardware for Convolutional Neural Networks. ICCD 2017: 105-112 - [c4]Subin Huh, Joonsang Yu, Kiyoung Choi:
A new stochastic mutiplier for deep neural networks. ISOCC 2017: 46-47 - [c3]Heesu Kim, Joonsang Yu, Kiyoung Choi:
Hybrid spiking-stochastic Deep Neural Network. VLSI-DAT 2017: 1-4 - 2016
- [c2]Kyounghoon Kim, Jungki Kim, Joonsang Yu, Jungwoo Seo, Jongeun Lee, Kiyoung Choi:
Dynamic energy-accuracy trade-off using stochastic computing in deep neural networks. DAC 2016: 124:1-124:6 - [c1]Jungwoo Seo, Joonsang Yu, Jongeun Lee, Kiyoung Choi:
A new approach to binarizing neural networks. ISOCC 2016: 77-78
Coauthor Index
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last updated on 2026-03-15 22:50 CET by the dblp team
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