Joonsang Yu

Researcher, NAVER

Joined

December 2019

Names

Joonsang Yu (Preferred)

Emails

****@dal.snu.ac.kr (Confirmed)

****@navercorp.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

NAVER (navercorp.com)

2021 – Present

Researcher

Samsung (samsung.com)

2020 – 2021

PhD student

Seoul National University (snu.ac.kr)

2015 – 2020

Undergrad student

POSTECH (postech.ac.kr)

2010 – 2015

Advisors, Relations & Conflicts

PhD Advisor

Kiyoung Choi

2015 – 2020

Expertise

Network Quantization

2021 – Present

Efficient Network Architecture

2021 – Present

Neural Architecture Search

2020 – 2021

Deep learning model compression

2015 – 2020

Publications

GeNAS: Neural Architecture Search with Better Generalization
Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, YoungJoon Yoo
- IJCAI2023
- Readers: Everyone
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection
Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, YoungJoon Yoo
- WACV2024
- Readers: Everyone
Zero-Shot Quantization Brought Closer to the Teacher
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
- 03 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
- 2022 (modified: 02 Nov 2022)
- CoRR 2022
- Readers: Everyone
NN-LUT: neural approximation of non-linear operations for efficient transformer inference
Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi
- 2022 (modified: 02 Nov 2022)
- DAC 2022
- Readers: Everyone
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
- 2022 (modified: 02 Nov 2022)
- CVPR 2022
- Readers: Everyone
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection
Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo
- 2022 (modified: 02 Nov 2022)
- CoRR 2022
- Readers: Everyone
Enabling hard constraints in differentiable neural network and accelerator co-exploration
Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
- 2022 (modified: 02 Nov 2022)
- DAC 2022
- Readers: Everyone
ConCoDE: Hard-constrained Differentiable Co-Exploration Method for Neural Architectures and Hardware Accelerators
Deokki Hong, Kanghyun Choi, Hey Yoon Lee, Joonsang Yu, Youngsok Kim, Noseong Park, Jinho Lee
- 29 Sept 2021 (modified: 13 Feb 2023)
- ICLR 2022 Conference Withdrawn Submission
- Readers: Everyone
DANCE: Differentiable Accelerator/Network Co-Exploration
Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee
- 2021 (modified: 02 Nov 2022)
- DAC 2021
- Readers: Everyone

View all 23 publications

Co-Authors

View all 34 co-authors