René's URL Explorer Experiment


Title: Junhyuk So

Mail addresses
junhyukso@postech.ac.kr

direct link

Domain: junhyukso.github.io

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authorJunhyuk So

Links:

POSTECHhttps://postech.ac.kr/eng/index.do
Prof. Eunhyeok Parkhttps://scholar.google.com/citations?user=pBr1GV4AAAAJ&hl=en
Efficient Computing Labhttps://sites.google.com/view/eh-p
Machine Learning Labhttps://ml.postech.ac.kr/
here (ECo)https://sites.google.com/view/eh-p
here (ML)https://ml.postech.ac.kr/#publication
Computer Science and Engineeringhttps://cse.postech.ac.kr/csepostech/index.do#none
POSTECHhttps://postech.ac.kr/eng/index.do
Electrical and Computer Engineeringhttps://engineering.uos.ac.kr/engineering/depart/ecehp/main.do
University of Seoulhttps://www.uos.ac.kr/eng/web/main
CVhttps://junhyukso.github.io/data/JunhyukSo_CV.pdf
Google Scholarhttps://scholar.google.com/citations?user=uYE7vtEAAAAJ
LinkedInhttps://www.linkedin.com/in/junhyuk-so-0a91631ab
https://junhyukso.github.io/images/junhyuk.jpg
Speculative Coupled Decoding for Training-Free Lossless Acceleration of Autoregressive Visual Generation https://arxiv.org/abs/2510.24211v2
Hyunho Kookhttps://kookhh0827.github.io/
Chaeyeon Janghttps://junhyukso.github.io/linkedin.com/in/chaeyeon-jang-33a566276
Eunhyeok Parkhttps://scholar.google.com/citations?user=pBr1GV4AAAAJ&hl=en
arXivhttps://arxiv.org/abs/2510.24211v2
Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking https://neurips.cc/virtual/2025/poster/118955
Chiwoong Leehttps://junhyukso.github.io
Shinyoung Leehttps://junhyukso.github.io
Jungseul Okhttps://sites.google.com/view/jungseulok
Eunhyeok Parkhttps://scholar.google.com/citations?user=pBr1GV4AAAAJ&hl=en
arXivhttps://arxiv.org/abs/2510.12392
Codehttps://github.com/junhyukso/SGAC
Grouped Speculative Decoding for Autoregressive Image Generation https://arxiv.org/abs/2508.07747
Juncheol Shinhttps://scholar.google.com/citations?user=tWfqGIMAAAAJ&hl=ko
Hyunho Kookhttps://www.linkedin.com/in/hyunho-kook/
Eunhyeok Parkhttps://scholar.google.com/citations?user=pBr1GV4AAAAJ&hl=en
arXivhttps://arxiv.org/abs/2508.07747
Codehttps://github.com/junhyukso/GSD
PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models https://arxiv.org/abs/2503.19731
Jiwoong Shinhttps://jiwoongshin.notion.site/
Chaeyeon Janghttps://www.linkedin.com/in/chaeyeon-jang-33a566276/
Eunhyeok Parkhttps://scholar.google.com/citations?user=pBr1GV4AAAAJ&hl=en
Paperhttps://arxiv.org/abs/2503.19731
arXivhttps://arxiv.org/abs/2503.19731
Codehttps://arxiv.org/abs/2503.19731
FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models https://arxiv.org/abs/2312.03517
Jungwon Lee*https://scholar.google.com/citations?user=TbzDLMUAAAAJ
Eunhyeok Parkhttps://scholar.google.com/citations?user=pBr1GV4AAAAJ&hl=en
Paperhttps://arxiv.org/abs/2312.03517
arXivhttps://arxiv.org/abs/2312.03517
Pagehttps://jungwon-lee.github.io/Project_FRDiff/
Codehttps://github.com/Jungwon-Lee/FRDiff
Colabhttps://colab.research.google.com/drive/1nG15sCcIS-XaZKDvGugBvg4eKF3qftoA#scrollTo=zvA_neljsaaU
Temporal Dynamic Quantizatin for Diffusion Models https://arxiv.org/abs/2306.02316
Jungwon Lee*https://scholar.google.com/citations?user=TbzDLMUAAAAJ
Daehyun Ahnhttps://scholar.google.com/citations?user=a4e-yE4AAAAJ
Hyungjun Kimhttps://scholar.google.co.kr/citations?user=pX2macYAAAAJ
Eunhyeok Parkhttps://scholar.google.com/citations?user=pBr1GV4AAAAJ&hl=en
Paperhttps://arxiv.org/abs/2306.02316
arXivhttps://arxiv.org/abs/2306.02316
Codehttps://arxiv.org/abs/2306.02316
Geodesic Multi-Modal Mixup for Robust Fine-Tuning https://arxiv.org/abs/2203.03897
Changdae Oh*https://changdaeoh.github.io/
Hoyoon Byunhttps://scholar.google.com/citations?user=55yqBlMAAAAJ
YongTaek Limhttps://scholar.google.com/citations?user=i-BJGx4AAAAJ
Minchul Shinhttps://scholar.google.com/citations?hl=ko&user=52NtRk8AAAAJ
Jong-June Jeonhttps://scholar.google.com/citations?user=A-E3uEMAAAAJ
Kyungwoo Songhttps://scholar.google.com/citations?user=HWxRii4AAAAJ
Paperhttps://arxiv.org/abs/2203.03897
arXivhttps://arxiv.org/abs/2203.03897
Codehttps://github.com/changdaeoh/multimodal-mixup
NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization https://arxiv.org/abs/2206.00820
Juncheol Shin*https://scholar.google.com/citations?user=tWfqGIMAAAAJ&hl=ko
Sein Parkhttps://www.linkedin.com/in/sein-park/
Seungyeop Kanghttps://openreview.net/profile?id=~Seungyeop_Kang1
Sungjoo Yoohttps://scholar.google.com/citations?user=__waCuYAAAAJ
Eunhyeok Parkhttps://scholar.google.com/citations?user=pBr1GV4AAAAJ&hl=en
Paperhttps://arxiv.org/abs/2206.00820
arXivhttps://arxiv.org/abs/2206.00820
Codehttps://github.com/ECoLab-POSTECH/NIPQ
Robust Contrastive Learning With Dynamic Mixed Margin https://ieeexplore.ieee.org/document/10154052/
YongTaek Lim*https://scholar.google.com/citations?user=i-BJGx4AAAAJ
Yewon Kim*https://www.linkedin.com/in/yewon-kim-5361b5252
Changdae Ohhttps://changdaeoh.github.io/
Kyungwoo Songhttps://scholar.google.com/citations?user=HWxRii4AAAAJ
Paperhttps://ieeexplore.ieee.org/document/10154052/
Learning Fair Representation via Distributional Contrastive Disentanglement https://arxiv.org/abs/2206.08743
Changdae Ohhttps://changdaeoh.github.io/
Heeji Wonhttps://scholar.google.com/citations?user=KtU2jNsAAAAJ
Taero Kimhttps://scholar.google.com/citations?user=0Qd9oTcAAAAJ
Yewon Kimhttps://www.linkedin.com/in/yewon-kim-5361b5252
Hosik Choihttps://scholar.google.com/citations?user=0pzb3WAAAAAJ
Kyungwoo Songhttps://scholar.google.com/citations?user=HWxRii4AAAAJ
Paperhttps://arxiv.org/abs/2206.08743
arXivhttps://arxiv.org/abs/2206.08743
Codehttps://github.com/changdaeoh/FarconVAE
Exploiting Activation Sparsity for Fast CNN Inference on Mobile GPUs https://dl.acm.org/doi/abs/10.1145/3477008
Chanyoung Oh*https://scholar.google.com/citations?hl=ko&user=PYjQqaAAAAAJ
Sumin Kim*https://scholar.google.com/citations?user=_M3MvZUAAAAJ
Youngmin Yihttps://scholar.google.com/citations?user=uaZINRwAAAAJ
Paperhttps://dl.acm.org/doi/abs/10.1145/3477008
NeurIPShttps://neurips.cc
CVPRhttps://cvpr.thecvf.com/
ICLRhttps://iclr.cc
AAAIhttps://aaai.org
WACVhttps://wacv.thecvf.com/
BMVChttps://www.bmva.org/bmvc/
TPAMIhttps://www.computer.org/csdl/journal/tp

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URLs of crawlers that visited me.