Yushan Jiang
Yushan Jiang
Ph.D. Student in Computer Science, School of Computing, University of Connecticut
Ph.D. Student in Computer Science, School of Computing, University of Connecticut
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Hi! I am a Ph.D. student in the School of Computing at UConn, advised by Dr. Dongjin Song.
My research focuses on developing generalizable and interpretable deep learning methods for time series analysis, spanning multi-modal data, general-purpose models, and real-world learning constraints. I work closely with leading research institutions and industry partners, including NEC Laboratories, Morgan Stanley, and Mayo Clinic.
Recent News
09/2025: Two papers are accepted to NeurIPS 2025.
Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
06/2025: I started my summer research internship at Mayo Clinic - AI & I Department.
05/2025: One paper is accepted to ACM SIGKDD 2025.
Multi-modal Time Series Analysis: A Tutorial and Survey
01/2025: One paper is accepted to ICLR 2025.
Learning System Dynamics without Forgetting
08/2024: I won the Impactfulness of Research award in RiSC 3.0 at NEC Laboratories America.
05/2024: I started my summer research internship at NEC Laboratories America - DSSS Department.
05/2024: I am awarded with Anthony W. DeSio Endowed Fellowship.
05/2024: One paper is accepted to ACM SIGKDD 2024.
Foundation Models for Time Series Analysis: A Tutorial and Survey
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