dblp: Sangjun Han (original) (raw)

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2020 – today

• 2026
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  [i11]
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    Sangjun Han, Youngmi Hur:
    Detail Loss in Super-Resolution Models Based on the Laplacian Pyramid and Repeated Upscaling and Downscaling Process. CoRR abs/2601.09410 (2026)
• 2025
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  [j4]
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    Chanhui Lee, Juhyeon Kim, Yongjun Jeong, Yoonseok Yeom, Juhyun Lyu, Junghee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Sungbin Lim, Sanghack Lee:
    On Incorporating Prior Knowledge Extracted From Large Language Models Into Causal Discovery. IEEE Access 13: 194691-194713 (2025)
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  [j3]
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    Sangjun Han, Youngmi Hur:
    Detail Loss in Super-Resolution Models Based on the Laplacian Pyramid and Repeated Upscaling and Downscaling Process. IET Image Process. 19(1) (2025)
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  [c7]
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    Eunhui Kim, Caren Han, Kyungtae Lim, Yesim Selcuk, Moonki Back, Sangjun Han, Kyong-Ha Lee:
    The 1st International Workshop on Retrieval-driven Generative AI & ScienceON AI Challenge: RDGENAI 2025. CIKM 2025: 6908-6911
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  [c6]
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    Sangjun Han, Woojin Cheong, Changhoon Song, Myungjoo Kang:
    Towards Human-Like Invariance: Self-Supervised Learning with Feature-Level Rotation Alignment. ICCVW 2025: 4820-4829
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  [i10]
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    Sangjun Han, Taeil Hur, Youngmi Hur, Kathy Sangkyung Lee, Myungyoon Lee, Hyojae Lim:
    Simplifying Formal Proof-Generating Models with ChatGPT and Basic Searching Techniques. CoRR abs/2502.03321 (2025)
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  [i9]
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    Jun Seo, Hyeokjun Choe, Seohui Bae, Soyeon Park, Wonbin Ahn, Taeyoon Lim, Junhyeok Kang, Sangjun Han, Jaehoon Lee, Dongwan Kang, Minjae Kim, Sungdong Yoo, Soonyoung Lee:
    Adaptive Information Routing for Multimodal Time Series Forecasting. CoRR abs/2512.10229 (2025)
• 2024
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  [i8]
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    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)
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  [i7]
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    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
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  [i6]
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    Sangjun Han, Hyeongrae Ihm, Woohyung Lim:
    Systematic Analysis of Music Representations from BERT. CoRR abs/2306.04628 (2023)
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  [i5]
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    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
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  [c5]
  Sangjun Han, Hyeongrae Ihm, Moontae Lee, Woohyung Lim:
  Symbolic Music Loop Generation with Neural Discrete Representations. ISMIR 2022: 403-410
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  [c4]
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    Sangjun Han, Taeil Hur, Youngmi Hur:
    Laplacian Pyramid-like Autoencoder. SAI (2) 2022: 59-78
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  [i4]
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    Sangjun Han, Hyeongrae Ihm, Moontae Lee, Woohyung Lim:
    Symbolic Music Loop Generation with Neural Discrete Representations. CoRR abs/2208.05605 (2022)
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  [i3]
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    Sangjun Han, Taeil Hur, Youngmi Hur:
    Laplacian Pyramid-like Autoencoder. CoRR abs/2208.12484 (2022)
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  [i2]
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    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
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  [j2]
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    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)
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  [j1]
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    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
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  [c3]
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    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
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  [c2]
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    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
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  [c1]
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    Sangjun Han, Moonyoung Kwon, Sunghan Lee, Sung Chan Jun:
    Feasibility Study of EEG Super-Resolution Using Deep Convolutional Networks. SMC 2018: 1033-1038

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