Yushan Jiang
Scholar

Yushan Jiang

Google Scholar ID: 7zOFNbIAAAAJ
University of Connecticut
Deep LearningData MiningTime SeriesExplainable AIMultimodal Learning
Citations & Impact
All-time
Citations
799
 
H-index
11
 
i10-index
14
 
Publications
20
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • September 2025: Two papers accepted to NeurIPS 2025.
  • - TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
  • - TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
  • May 2025: One paper accepted to ACM SIGKDD 2025, 'Multi-modal Time Series Analysis: A Tutorial and Survey'
  • January 2025: One paper accepted to ICLR 2025, 'Learning System Dynamics without Forgetting'
Research Experience
  • Work closely with leading research institutions and industry partners, including NEC Labs America, Morgan Stanley, and Mayo Clinic. Started a summer research internship at Mayo Clinic - AI & I Department in June 2025.
Education
  • Ph.D. Student in Computer Science, School of Computing, University of Connecticut, advised by Dr. Dongjin Song.
Background
  • Research interests: Developing generalizable and interpretable deep learning methods for time series analysis, spanning multi-modal data, general-purpose models, and real-world learning constraints.