Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 2 PDF
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Paper Title Number 3 PDF
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
Paper Title Number 4 PDF
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Paper Title Number 5, with math \(E=mc^2\) PDF
Published in GitHub Journal of Bugs, 2024
This paper is about a famous math equation, $$E=mc^2$$
Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
GloGen: PPG Prompts for Few-shot Transfer Learning in Blood Pressure Estimation PDF
Published in Computers in Biology and Medicine, 2024
Taero Kim, Hyeonjeong Lee, Minseong Kim, Kwang-Yong Kim, Kyu Hyung Kim, Kyungwoo Song
We propose GloGen, a global PPG prompt generation framework for few-shot transfer learning in blood pressure estimation. By generating subject-adaptive prompts from a small number of labeled samples, GloGen enables rapid personalization of blood pressure models with minimal calibration data.
MIDUS: Memory-Infused Depth Up-Scaling PDF
Published in Under Review, 2025
Taero Kim, Hoyoon Byun, Youngjun Choi, Sungrae Park, Kyungwoo Song
We propose MIDUS, a depth up-scaling method for large language models that infuses memory mechanisms into newly inserted layers. MIDUS enables efficient model depth expansion while preserving pretrained knowledge and improving parameter utilization.
Robust Optimization for PPG-based Blood Pressure Estimation PDF
Published in Biomedical Signal Processing and Control, 2025
Sungjun Lim*, Taero Kim*, Hyunjung Lee*, Yewon Kim, Minhoi Park, Minseung Kim, Kyuhyung Kim, Kyungwoo Song (* equal contribution)
We apply distributionally robust optimization to PPG-based blood pressure estimation to address data imbalance and distribution shift across subjects. Our approach improves estimation robustness and generalization to underrepresented physiological conditions.
Sufficient Invariant Learning for Distribution Shift PDF
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Taero Kim, Subeen Park, SungJun Lim, Yonghan Jung, Krikamol Muandet, Kyungwoo Song
We identify that existing invariant learning methods are overly conservative—they discard predictive spurious features to ensure invariance. We propose Sufficient Invariant Learning (SIL), which leverages flatness-aware optimization to learn features that are both invariant and maximally predictive across environments, improving out-of-distribution generalization.
IMC: A Benchmark for Invariant Learning under Multiple Causes Oral Best Paper Award PDF
Published in CVPR 2025 Workshop on Domain Generalization: Evolution, Breakthroughs and Future Horizon, 2025
Taero Kim, Seonggyun Lee, Joonseong Kang, Youngjun Choi, Wonsang Yun, Nicole Hee-Yeon Kim, Ziyu Chen, Lexing Xie, Kyungwoo Song
We introduce IMC, a benchmark that exposes fundamental failure modes of existing domain generalization methods under multiple causally-intertwined spurious correlations—a realistic but underexplored setting that current benchmarks fail to capture.
MLM: Multi-linguistic LoRA Merging PDF
Published in Efficient Reasoning Workshop at Neural Information Processing Systems (NeurIPS), 2025
Jung Lee*, Taero Kim*, Nikhil Verma (* equal contribution)
We propose Multi-linguistic LoRA Merging (MLM), a method that merges language-specific LoRA adapters to efficiently transfer multilingual capability into a single model without full retraining, enabling scalable multilingual large language model deployment.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.