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ORCIDYeong Hyeon Gu
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2020 – today
- 2025
[j18]Samia Nawaz Yousafzai
, Inzamam Mashood Nasir, Sara Tehsin, Dania Saleem Malik, Ismail Keshta, Norma Latif Fitriyani, Yeong Hyeon Gu, Muhammad Syafrudin:
Multi-Stage Neural Network-Based Ensemble Learning Approach for Wheat Leaf Disease Classification. IEEE Access 13: 30101-30116 (2025)- [j17]Abdullah Almogahed, Hairulnizam Mahdin, Yeong Hyeon Gu, Mohammed A. Al-Masni, Shehab Abdulhabib Alzaeemi, Mazni Omar, Abdulwadood Alawadhi, Samera Obaid Barraood, Abdul Rehman Gilal, Adnan Ameen Bakather:
Multi-Classification Refactoring Framework Using Hopfield Neural Network for Sustainable Software Development. IEEE Access 13: 31785-31808 (2025) - [j16]Bilal Khan, Muhammad Usman, Inayat Khan, Jawad Khan, Dildar Hussain, Yeong Hyeon Gu:
Next-Generation Text Summarization: A T5-LSTM FusionNet Hybrid Approach for Psychological Data. IEEE Access 13: 37557-37571 (2025) - [j15]Mugahed A. Al-antari, Saied Salem, Mukhlis Raza, Ahmed S. Elbadawy, Ertan Bütün, Ahmet Arif Aydin, Murat Aydogan, Bilal Ertugrul, Muhammed Talo, Yeong Hyeon Gu:
Evaluating AI-powered predictive solutions for MRI in lumbar spinal stenosis: a systematic review. Artif. Intell. Rev. 58(8): 221 (2025) - [j14]Ri Zheng, Jimin Lee, Helin Yin, Dong Jin, Yeong Hyeon Gu:
LITP-GAN: Leaf image translation pipeline using DETR and GLA-Net considering the lesion area of plant disease. J. King Saud Univ. Comput. Inf. Sci. 37(3) (2025) - [j13]Muhammed Amin Abdullah, Yongbin Yu, Jingye Cai, Daniel Addo, Edem K. Bankas, Yeong Hyeon Gu, Ali Alqahtani, Mugahed A. Al-antari:
Deep Learning IoT Malware Analysis: Investigation and Understanding. Neural Comput. Appl. 37(21): 16941-16968 (2025) - [j12]Aisha Naseer, Ali Raza, Hadeeqa Afzal, Aseel Smerat, Norma Latif Fitriyani, Yeong Hyeon Gu, Muhammad Syafrudin:
Human pose estimation in physiotherapy fitness exercise correction using novel transfer learning approach. PeerJ Comput. Sci. 11: e2854 (2025) - [j11]Ho-Jun Kim, Seongsim Yoon, Yeong Hyeon Gu, Sung Hoon Kim, Young-Don Choi, Hyun-Han Kwon:
A Hybrid Approach to Physical and Deep Learning Models for Radar-Based Precipitation Nowcasting. IEEE Trans. Geosci. Remote. Sens. 63: 1-16 (2025) - [c11]Subin Park, Zhegao Piao, Yeong Hyeon Gu:
CRESO: CLIP-Based Referring Expression Segmentation for Object using Text Prompt. ICAIIC 2025: 974-979 - 2024
- [j10]Atia Shahnaz Ipa, Priyo Nath Roy, Mohammad Abu Tareq Rony, Ali Raza, Norma Latif Fitriyani, Yeong Hyeon Gu, Muhammad Syafrudin:
BdSentiLLM: A Novel LLM Approach to Sentiment Analysis of Product Reviews. IEEE Access 12: 189330-189343 (2024) - [j9]Da Woon Jeong, Yeong Hyeon Gu:
Pro Trader RL: Reinforcement learning framework for generating trading knowledge by mimicking the decision-making patterns of professional traders. Expert Syst. Appl. 254: 124465 (2024) - [j8]Shabana Ramzan, Basharat Ali, Ali Raza, Ibrar Hussain, Norma Latif Fitriyani, Yeong Hyeon Gu, Muhammad Syafrudin:
An innovative artificial neural network model for smart crop prediction using sensory network based soil data. PeerJ Comput. Sci. 10: e2478 (2024) - [c10]Chull Hwan Song, Taebaek Hwang, Jooyoung Yoon, Shunghyun Choi, Yeong Hyeon Gu:
SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining. CVPR 2024: 13948-13957 - [c9]Chull Hwan Song, Jooyoung Yoon, Taebaek Hwang, Shunghyun Choi, Yeong Hyeon Gu, Yannis Avrithis:
On Train-Test Class Overlap and Detection for Image Retrieval. CVPR 2024: 17375-17384 - [i3]Chull Hwan Song, Taebaek Hwang, Jooyoung Yoon, Shunghyun Choi, Yeong Hyeon Gu:
SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining. CoRR abs/2404.01156 (2024) - [i2]Chull Hwan Song, Jooyoung Yoon, Taebaek Hwang, Shunghyun Choi, Yeong Hyeon Gu, Yannis Avrithis:
On Train-Test Class Overlap and Detection for Image Retrieval. CoRR abs/2404.01524 (2024) - 2023
- [j7]Da Woon Jeong, Seong Joon Yoo, Yeong Hyeon Gu:
Safety AARL: Weight adjustment for reinforcement-learning-based safety dynamic asset allocation strategies. Expert Syst. Appl. 227: 120297 (2023) - [j6]Dong Jin, Helin Yin, Ri Zheng, Seong Joon Yoo, Yeong Hyeon Gu:
PlantInfoCMS: Scalable Plant Disease Information Collection and Management System for Training AI Models. Sensors 23(11): 5032 (2023) - [j5]Won Hee Chung, Yeong Hyeon Gu, Seong Joon Yoo:
CHP Engine Anomaly Detection Based on Parallel CNN-LSTM with Residual Blocks and Attention. Sensors 23(21): 8746 (2023) - [c8]Chull Hwan Song, Taebaek Hwang, Jooyoung Yoon, Shunghyun Choi, Yeong Hyeon Gu:
Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network. ICCV 2023: 11078-11087 - [c7]Zhegao Piao, Yeong Hyeon Gu, Seong Joon Yoo, Myoung-ho Seong:
Segmentation of Cerebral Hemorrhage CT Images using Swin Transformer and HarDNet. ICOIN 2023: 522-525 - [i1]Chull Hwan Song, Taebaek Hwang, Jooyoung Yoon, Shunghyun Choi, Yeong Hyeon Gu:
Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network. CoRR abs/2307.13254 (2023) - 2022
- [j4]Yeong Hyeon Gu, Xianghua Piao, Helin Yin, Dong Jin, Ri Zheng, Seong Joon Yoo:
Domain-Specific Language Model Pre-Training for Korean Tax Law Classification. IEEE Access 10: 46342-46353 (2022)
2010 – 2019
- 2019
- [c6]Dong Jin, Helin Yin, Yeong Hyeon Gu, Seong Joon Yoo:
Forecasting of Vegetable Prices using STL-LSTM Method. ICSAI 2019: 866-871 - 2018
- [j3]Zhegao Piao, Seong Joon Yoo, Yeong Hyeon Gu, Jaechun No, Zhiyan Jiang, Helin Yin:
Recommender system architecture based on Mahout and a main memory database. J. Supercomput. 74(1): 105-121 (2018) - 2017
- [j2]Zhegao Piao, Hyung-Geun Ahn, Seong Joon Yoo, Yeong Hyeon Gu, Helin Yin, Da Woon Jeong, Zhiyan Jiang, Won Hee Chung:
Performance analysis of combined descriptors for similar crop disease image retrieval. Clust. Comput. 20(4): 3565-3577 (2017) - [c5]Jung-Hwan Park, Seong-Joon Yoo, Kyung-Joong Kim, Yeong Hyeon Gu, Keon-Hoon Lee, U.-Hyon Son:
PM10 density forecast model using long short term memory. ICUFN 2017: 576-581 - 2016
- [j1]Yeong Hyeon Gu, Seong Joon Yoo, C. J. Park, Y. H. Kim, S. K. Park, J. S. Kim, J. H. Lim:
BLITE-SVR: New forecasting model for late blight on potato using support-vector regression. Comput. Electron. Agric. 130: 169-176 (2016) - [c4]Yeong Hyeon Gu, Seong Joon Yoo, Zhegao Piao, Jaechun No, Zhiyan Jiang, Helin Yin:
A smart-device news recommendation technology based on the user click behavior. EDB 2016: 9-16 - 2015
- [c3]Yeong Hyeon Gu, Seong Joon Yoo, Zhegao Piao, Yinhe Lin, Jiangzhi Yan, Jung Hwan Park:
User Preference Analysis and Visualization through the Browser History of Smart Devices. BigDAS 2015: 264-267 - 2011
- [c2]Yeong Hyeon Gu, Seong Joon Yoo:
Mining Popular Menu Items of a Restaurant from Web Reviews. WISM (2) 2011: 242-250
2000 – 2009
- 2009
- [c1]Yeong Hyeon Gu, Seong Joon Yoo:
Mining Comparative Sentences from Korean Text Documents Using Sentential Structure Analysis Combined with Machine Learning Techniques. CSA 2009: 1-6
Coauthor Index
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