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Changhyun Park
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2020 – today
- 2022
- [j5]Changhyun Park:
Different determinants affecting first mover advantage and late mover advantage in a smartphone market: a comparative analysis of Apple iPhone and Samsung Galaxy. Technol. Anal. Strateg. Manag. 34(3): 274-289 (2022) - [c5]Changhyun Park, Hongsuk Lee, Eun Sub Shim, Jungbin Yun, Kyungho Lee, Yun-Hwan Jung, Sukki Yoon, Ilyun Jeong, JungChak Ahn, Duckhyun Chang:
World's first 16: 4: 1 triple conversion gain sensor with all-pixel AF for 82.4dB single exposure HDR. Imaging Sensors and Systems 2022: 1-4 - [c4]Wooseok Jung, Chong Hyun Suh, Woo-Hyun Shim, Jinyoung Kim, Dongsoo Lee, Changhyun Park, Seo Taek Kong, Kyu-Hwan Jung, Hwon Heo, Sang Joon Kim:
Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation. MLCN@MICCAI 2022: 23-31 - [c3]Dongsoo Lee, Chong Hyun Suh, Jinyoung Kim, Wooseok Jung, Changhyun Park, Kyu-Hwan Jung, Seo Taek Kong, Woo-Hyun Shim, Hwon Heo, Sang Joon Kim:
Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction. MLCN@MICCAI 2022: 125-134 - 2021
- [j4]Changhyun Park, Hean Sung Lee, Woo Jin Kim
, Han Byeol Bae, Jaeho Lee, Sangyoun Lee:
An Efficient Approach Using Knowledge Distillation Methods to Stabilize Performance in a Lightweight Top-Down Posture Estimation Network. Sensors 21(22): 7640 (2021) - [i1]Changhyun Park, Heung-Il Suk:
Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis. CoRR abs/2108.04555 (2021) - 2020
- [c2]Yonghyun Jeong, Jongwon Choi, Doyeon Kim
DoFNet: Depth of Field Difference Learning for Detecting Image Forgery. ACCV (6) 2020: 83-100
2010 – 2019
- 2019
- [j3]Changhyun Park:
Customers' migration paths decided by relative advantage: longitudinal and comparative case study of successive generations of logic semiconductor technology. Technol. Anal. Strateg. Manag. 31(9): 1063-1080 (2019) - 2018
- [j2]Changhyun Park:
Incumbents as disruptor and their disruptive behaviour enabling disruptive innovation: case study of high performance and low cost CPU and foundry market. Technol. Anal. Strateg. Manag. 30(12): 1437-1454 (2018) - 2017
- [c1]Changhyun Park, Seongjin Lee
Practical Implication of Analytical Models for SSD Write Amplification. ICPE 2017: 257-262 - 2015
- [j1]Seokhei Cho, Changhyun Park, Youjip Won, Sooyong Kang, Jaehyuk Cha
Design Tradeoffs of SSDs: From Energy Consumption's Perspective. ACM Trans. Storage 11(2): 8:1-8:24 (2015)
Coauthor Index
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