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2020 – today
- 2024
[i8]Yongha Kim, Anthony W. Jung, Sanmun Kim, Kevin Octavian, Doyoung Heo, Chaejin Park
, Jeongmin Shin, Sunghyun Nam, Chanhyung Park, Juho Park, Sangjun Han, Jinmyoung Lee, Seolho Kim, Min Seok Jang, Chan Y. Park:
Meent: Differentiable Electromagnetic Simulator for Machine Learning. CoRR abs/2406.12904 (2024)- [i7]Sangjun Han, Jiwon Ham, Chaeeun Lee, Heejin Kim, Soojong Do, Sihyuk Yi, Jun Seo, Seoyoon Kim, Yountae Jung, Woohyung Lim:
Flexible Control in Symbolic Music Generation via Musical Metadata. CoRR abs/2409.07467 (2024) - 2023
- [i6]Sangjun Han, Hyeongrae Ihm, Woohyung Lim:
Systematic Analysis of Music Representations from BERT. CoRR abs/2306.04628 (2023) - [i5]Chanhui Lee, Juhyeon Kim, Yongjun Jeong, Juhyun Lyu, Junghee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Sungbin Lim, Sanghack Lee:
Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms? CoRR abs/2311.11212 (2023) - 2022
- [c5]Sangjun Han, Hyeongrae Ihm, Moontae Lee, Woohyung Lim:
Symbolic Music Loop Generation with Neural Discrete Representations. ISMIR 2022: 403-410 - [c4]Sangjun Han, Taeil Hur, Youngmi Hur:
Laplacian Pyramid-like Autoencoder. SAI (2) 2022: 59-78 - [i4]Sangjun Han, Hyeongrae Ihm, Moontae Lee, Woohyung Lim:
Symbolic Music Loop Generation with Neural Discrete Representations. CoRR abs/2208.05605 (2022) - [i3]Sangjun Han, Taeil Hur, Youngmi Hur:
Laplacian Pyramid-like Autoencoder. CoRR abs/2208.12484 (2022) - [i2]Sangjun Han, Hyeongrae Ihm, DaeHan Ahn, Woohyung Lim:
Instrument Separation of Symbolic Music by Explicitly Guided Diffusion Model. CoRR abs/2209.02696 (2022) - 2021
- [i1]Sangjun Han, Hyeongrae Ihm, Woohyung Lim:
Symbolic Music Loop Generation with VQ-VAE. CoRR abs/2111.07657 (2021)
2010 – 2019
- 2019
- [j2]Moonyoung Kwon, Sangjun Han, Kiwoong Kim, Sung Chan Jun:
Super-Resolution for Improving EEG Spatial Resolution using Deep Convolutional Neural Network - Feasibility Study. Sensors 19(23): 5317 (2019) - [j1]Sangjun Han, Seung-Hyun Yoon, Myung-Soo Kim, Gershon Elber:
Minkowski sum computation for planar freeform geometric models using $$G^1$$ G 1 -biarc approximation and interior disk culling. Vis. Comput. 35(6-8): 921-933 (2019) - 2018
- [c3]Sunghan Lee, Sangjun Han, Sung Chan Jun:
EEG Hyperscanning for Eight or more Persons - Feasibility Study for Emotion Recognition using Deep Learning Technique. APSIPA 2018: 488-492 - [c2]Jinyoung Choi, Sangjun Han, Kyungho Won, Sung Chan Jun:
The Neurophysiological Effect of Acoustic Stimulation with Real-time Sleep Spindle Detection. EMBC 2018: 470-473 - [c1]Sangjun Han, Moonyoung Kwon, Sunghan Lee, Sung Chan Jun:
Feasibility Study of EEG Super-Resolution Using Deep Convolutional Networks. SMC 2018: 1033-1038
Coauthor Index
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