Joonsang Yu

33 papers A* 10A 2C 1Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
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.
Kanghyun Choi, Deokki Hong, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2024 — conf
400G cost-effective EML for B5G/6G Fronthaul Network.
OFC
Seungchul Lee, Namje Kim, Miran Park, Kihong Yoon, Mihee Hwang, Joonsang Yu, Sangho Lee, O-Kyun Kwon
2024 — conf
Cost-effective IA-EML for 5G-advanced and 6G Fronthaul Networks.
ICTC
Seungchul Lee, Namje Kim, Yonghan Kim, Miran Park, Jun-Hwan Shin, O-Kyun Kwon, Kihong Yoon, Mihee Hwang, Joonsang Yu
2024 A* conf
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning.
CVPR
Beomyoung Kim, Joonsang Yu, Sung Ju Hwang
2024 J jnl
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning.
CoRR
Beomyoung Kim, Joonsang Yu, Sung Ju Hwang
2024 A conf
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection.
WACV
Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo
2024 A* conf
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding.
AAAI
Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi
2024 J jnl
Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting.
CoRR
Beomyoung Kim, Myeong-Yeon Yi, Joonsang Yu, Young Joon Yoo, Sung Ju Hwang
2024 J jnl
ZIM: Zero-Shot Image Matting for Anything.
CoRR
Beomyoung Kim, Chanyong Shin, Joonhyun Jeong, Hyungsik Jung, Se-Yun Lee, Sewhan Chun, Dong-Hyun Hwang, Joonsang Yu
2023 J jnl
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration.
CoRR
Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2023 J jnl
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding.
CoRR
Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi
2023 A* conf
GeNAS: Neural Architecture Search with Better Generalization.
IJCAI
Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo
2023 J jnl
GeNAS: Neural Architecture Search with Better Generalization.
CoRR
Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo
2023 A conf
Pipe-BD: Pipelined Parallel Blockwise Distillation.
DATE
Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee
2023 J jnl
Pipe-BD: Pipelined Parallel Blockwise Distillation.
CoRR
Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee
2022 A* conf
Enabling hard constraints in differentiable neural network and accelerator co-exploration.
DAC
Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022 A* conf
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher.
CVPR
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022 J jnl
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher.
CoRR
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022 A* conf
NN-LUT: neural approximation of non-linear operations for efficient transformer inference.
DAC
Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi
2022 J jnl
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection.
CoRR
Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo
2021 A* conf
DANCE: Differentiable Accelerator/Network Co-Exploration.
DAC
Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee
2021 J jnl
NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference.
CoRR
Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi
2020 J jnl
DANCE: Differentiable Accelerator/Network Co-Exploration.
CoRR
Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee
2019 A* conf
Acceleration of DNN Backward Propagation by Selective Computation of Gradients.
DAC
Gunhee Lee, Hanmin Park, Namhyung Kim, Joonsang Yu, Sujeong Jo, Kiyoung Choi
2019 A* conf
Network Recasting: A Universal Method for Network Architecture Transformation.
AAAI
Joonsang Yu, Sungbum Kang, Kiyoung Choi
2018 J jnl
Network Recasting: A Universal Method for Network Architecture Transformation.
CoRR
Joonsang Yu, Sungbum Kang, Kiyoung Choi
2018 — conf
Tapered-Ratio Compression for Residual Network.
ISOCC
Sungbum Kang, Joonsang Yu, Kiyoung Choi
2017 — conf
A new stochastic mutiplier for deep neural networks.
ISOCC
Subin Huh, Joonsang Yu, Kiyoung Choi
2017 C conf
Accurate and Efficient Stochastic Computing Hardware for Convolutional Neural Networks.
ICCD
Joonsang Yu, Kyounghoon Kim, Jongeun Lee, Kiyoung Choi
2017 J jnl
Efficient Low-Cost Fault-Localization and Self-Repairing Radix-2 Signed-Digit Adders Applying the Self-Dual Concept.
J. Signal Process. Syst.
Hossein Moradian, Jeong-A Lee, Joonsang Yu
2017 — conf
Hybrid spiking-stochastic Deep Neural Network.
VLSI-DAT
Heesu Kim, Joonsang Yu, Kiyoung Choi
2016 — conf
A new approach to binarizing neural networks.
ISOCC
Jungwoo Seo, Joonsang Yu, Jongeun Lee, Kiyoung Choi
2016 A* conf
Dynamic energy-accuracy trade-off using stochastic computing in deep neural networks.
DAC
Kyounghoon Kim, Jungki Kim, Joonsang Yu, Jungwoo Seo, Jongeun Lee, Kiyoung Choi