Noseong Park
Scholar

Noseong Park

Google Scholar ID: VSuM3gYAAAAJ
Tenured Associate Professor, KAIST
Artificial Intelligence
Citations & Impact
All-time
Citations
3,852
 
H-index
33
 
i10-index
62
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - Two papers accepted in NeurIPS 2025
  • - One paper accepted in Data Mining and Knowledge Discovery (IF=4.3)
  • - One paper accepted in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IF=2.7)
  • - Two papers accepted in ES-FoMo III at ICML 2025
  • - One paper accepted in Artificial Intelligence in Medicine (IF = 6.1)
  • - One paper accepted in IJCAI 2025
  • - Three papers accepted in ICLR 2025 Workshops
  • - One paper accepted in Results in Applied Mathematics (IF=1.4)
  • - Three papers accepted in ICLR 2025
  • - Two papers accepted in AAAI 2025 Workshops
  • - One paper accepted in AAAI 2025
  • - One paper published in Advanced Intelligent Systems (IF=7.4)
  • - One paper accepted in WSDM 2025
  • - One paper accepted in NeurIPS 2024 WorkshopFM4Science
  • - One paper accepted in NeurIPS 2024
  • - Two papers accepted in CIKM 2024
Research Experience
  • The laboratory was established in March 2020 at Yonsei University and moved to KAIST in February 2024. Currently, it is involved in multiple research projects, including generative AI and a national representative LLM project.
Background
  • Research Interests: Deep Generative Models, Differential Equation-based Deep Learning, Graph Convolutional Networks, Recommendation (Collaborative Filtering and Sequential Recommendation), Scientific Foundation Model, Physics-informed Neural Network, Operator Learning, Tabular Data Synthesis and Representation Learning, Time Series/Spatiotemporal Synthesis, Forecasting, and Anomaly Detection.
Miscellany
  • News:
  • - The lab's codes and data can be found at https://github.com/bigdyl-kaist.
  • - KAIST BigDyL has been selected for the LG AI Research Institute's generative AI leading talent cultivation project.
  • - KAIST BigDyL has been selected for the NC AI independent AI foundation model project (tentatively named the national representative LLM project).
  • - A project titled 'LLM-driven Chain-of-Thought Analysis for Tabular Data' will be supported by Microsoft Research Asia, and Yehjin Shin will visit Microsoft Research Asia in Beijing for her internship.
  • - Samsung Future Technology Fostering Center has selected a scientific foundation model research proposal.