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Gichang Lee
Observed names:
Gi-Chang Lee,
Lee, Gichang
Institution:
Kumoh National Institute of Technology
Observed institutions:
Kumoh National Institute of Technology,
Seoul National University,
Korea University,
University of Washington,
NAVER Cloud (South Korea),
Samsung Display (South Korea),
Naver (South Korea)
show all 7
ORCID:
0000-0001-8387-0981
Observed ORCID:
0000-0001-8387-0981
OpenAlex ID:
A5024050253
Sentiment classification with word localization based on weakly supervised learning with a convolutional neural network
2018
·
Gichang Lee
, Jaeyun Jeong
, et al.
·
Knowledge-Based Systems
·
109
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
2021
·
Boseop Kim
, HyoungSeok Kim
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
78
PDF
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model
2022
·
Seongjin Shin
, Sang-Woo Lee
, et al.
·
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
·
35
PDF
Efficient phosphorus removal from MBR effluent with heated aluminum oxide particles (HAOPs)
2019
·
Gichang Lee
, Siamak Modarresi
, et al.
·
Water Research
·
33
Adsorption of uranium from groundwater using heated aluminum oxide particles
2020
·
Gichang Lee
, Wontae Lee
·
Journal of Water Process Engineering
·
22
Optimizing uranium removal from groundwater using machine learning models for enhancing the uranium-adsorption process
2025
·
Muhammad Yaqub
, Gichang Lee
, et al.
·
Journal of environmental chemical engineering
·
9
HyperCLOVA X Technical Report
2024
·
Yoo, Kang Min
, Han, Jaegeun
, et al.
·
arXiv (Cornell University)
·
8
PDF
Artificial intelligence-assisted auto-optical inspection toward the stain detection of an organic light-emitting diode panel at the backplane fabrication step
2023
·
Yongwoo Lee
, Gichang Lee
, et al.
·
Displays
·
5
Sentiment Classification with Word Attention based on Weakly Supervised Learning with a Convolutional Neural Network
2017
·
Lee, Gichang
, Jeong, Jaeyun
, et al.
·
arXiv (Cornell University)
·
3
PDF
Extraction of Satisfaction Factors and Evaluation of Tourist Attractions based on Travel Site Review Comments
2017
·
Suhyoun Cho
, Boseop Kim
, et al.
·
Journal of Korean Institute of Industrial Engineers
·
3
PDF
Evaluation of the Chemical Characteristics and Predictive Model of Water-Soluble Inorganic Ions for Fine Particulate Matter Generated in Pohang
2023
·
Gi-Chang Lee
, Bo-Eun Kim
, et al.
·
대한환경공학회지
·
1
PDF
Word Sentiment Score Evaluation based on Graph-Based Semi-Supervised Learning and Word Embedding
2017
·
Deokseong Seo
, Kyoung Hyun Mo
, et al.
·
Journal of Korean Institute of Industrial Engineers
·
1
Mechanism of uranium adsorption from groundwater using heated aluminum oxide particles in combination with micro-granular adsorptive filtration
2026
·
Gichang Lee
, Jeongyeon Yoon
, et al.
·
Groundwater for Sustainable Development
Spectral Characterization of Airborne Particulate Matter in the Gyeongbuk region Using Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy
2025
·
Gichang Lee
, Yunju Kang
, et al.
·
대한환경공학회지
PDF
HyperT5: Towards Compute-Efficient Korean Language Modeling
2023
·
Dongju Park
, Soonwon Ka
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model
2022
·
Shin, Seongjin
, Lee, Sang-Woo
, et al.
·
arXiv (Cornell University)
PDF
Sentiment Classification with Word Attention based on Weakly Supervised Leaning
2017
·
Gichang Lee
, Jae-Yun Jeong
, et al.
·
arXiv (Cornell University)
Carbonaceous and ionic compositions of PM10, PM2.5 and PM1 in Seoul during 2007-2008
2009
·
Jinseok Han
, M. Lee
, et al.
·
AGU Fall Meeting Abstracts
Levoglucosan and Lipid Class Compounds in the Asian Dusts and Marine Aerosols Collected During the ACE-Asia Campaign
2002
·
Minoru Kobayashi
, Bernd R.T. Simoneit
, et al.
·
AGU Fall Meeting Abstracts
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Works count:
19
Citation count:
307
H-index:
7
I10-index:
5
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