Scholar
Seunghan Lee
Google Scholar ID: XCBNwBQAAAAJ
Yonsei University
Citations & Impact
Citations
134
H-index
4
i10-index
3
Publications
8
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- - [ICML 2025] Channel Normalization for Time Series Channel Identification
- - [NeurIPSW 2024 Oral] Partial Channel Dependence with Channel Masks for Time Series Foundation Models
- - [NeurIPSW 2024] Sequential Order-Robust Mamba for Time Series Forecasting
- - [NeurIPS 2024] ANT: Adaptive Noise Schedule for Time Series Diffusion Models
- - [ICLR 2024 Spotlight, NeurIPSW 2023] Soft Contrastive Learning for Time Series
- - [ICLR 2024, NeurIPSW 2023 Oral] Learning to Embed Time Series Patches Independently
Research Experience
- - Time Series (TS) Deep Learning
- - TS Forecasting
- - Representation Learning
- - Diffusion Models, Foundation Models
- - (Sub) VLMs, Audio DL
Education
- - B.S. in Business Administration/Applied Statistics from Yonsei University
- - M.S. and Ph.D. in Statistics and Data Science from Yonsei University
Background
- - Research Interests: Time Series Deep Learning, Time Series Forecasting, Representation Learning, Diffusion Models, Foundation Models, (Sub) VLMs, Audio DL
- - Professional Fields: Machine Learning, Deep Learning, Data Science, Data Engineering, Statistics
Miscellany
- - Technical Stack includes: PyTorch, TensorFlow2, Git, SQL, Python, Docker, Kubernetes, Java, R, etc.
- - Broad interests ranging from Computer Vision to Natural Language Processing and more
