Scholar
Yijun Lin
Google Scholar ID: OuM2-pAAAAAJ
University of Minnesota, Twin Cities
Citations & Impact
Citations
434
H-index
9
i10-index
9
Publications
19
Co-authors
8
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Publications:
- - LIGHT: Multi-Modal Text Linking on Historical Maps (ICDAR 2025)
- - Hyper-Local Deformable Transformers for Text Spotting on Historical Maps (KDD 2024)
- - Modeling Spatially Varying Physical Dynamics for Spatiotemporal Predictive Learning (SIGSPATIAL 2023)
- - A Semi-Supervised Learning Approach for Abnormal Event Prediction on Large Network Operation Time-Series Data (IEEE Big Data 2022)
- - Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction (ICDM 2020)
- Awards:
- - Doctoral Dissertation Fellowship, 2024-2025, The University of Minnesota Graduate School
- - UMN DSI-ADC Fellowship, 2022-2024
- - First-place, Map Feature Extraction Challenge, AI for Critical Mineral Assessment Competition, 2022
Research Experience
- Working in the Knowledge Computing Lab at UMN CS&E; Teaching UMN CSCI 5523 Introduction to Data Mining in Spring 2025.
Education
- Ph.D. student, Department of Computer Science & Engineering, University of Minnesota, Advisor: Prof. Yao-Yi Chiang; Previously at the University of Southern California (USC), Advisors: Prof. Yao-Yi Chiang and Prof. José Luis Ambite.
Background
- Research Interests: Developing machine learning methods for spatiotemporal prediction and forecasting. Focus: Incorporating prior knowledge (e.g., spatial properties) to learn representations from sparsely labeled data (e.g., air quality sensor data) to solve various fine-spatial-scale prediction and time-series forecast problems.
Miscellany
- Personal Interests: Cats, has two cats named Junbao and Yuanyuan.
