Yijun Lin

Orcid: 0000-0002-0815-9636

Affiliations:
  • University of Minnesota - Twin Cities, Minneapolis, MN, USA
  • University of Southern California, Los Angeles, CA, USA (former)


According to our database1, Yijun Lin authored at least 21 papers between 2017 and 2026.

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Timeline

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Bibliography

2026
TICLS: Tightly Coupled Language Text Spotter.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025
FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models.
CoRR, December, 2025

Less is More: Multimodal Region Representation via Pairwise Inter-view Learning.
CoRR, May, 2025

Capturing Shared and Unique Information in Multimodal Region Representations for Urban Mobility Prediction.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Urban Mobility Foundation Models, 2025


LIGHT: Multi-modal Text Linking on Historical Maps.
Proceedings of the Document Analysis and Recognition - ICDAR 2025, 2025

DIGMAPPER: A Modular System for Automated Geologic Map Digitization.
Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

MoVER: Modeling User Heterogeneity with Enriched Trajectory Representations for Human Mobility Prediction.
Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning.
Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

2024
Hyper-Local Deformable Transformers for Text Spotting on Historical Maps.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ICDAR 2024 Competition on Historical Map Text Detection, Recognition, and Linking.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

2023
Modeling Spatially Varying Physical Dynamics for Spatiotemporal Predictive Learning.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022
A Semi-Supervised Learning Approach for Abnormal Event Prediction on Large Network Operation Time-Series Data.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making.
ACM Trans. Interact. Intell. Syst., 2021

A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data.
CoRR, 2021

2020
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Building Explainable Predictive Analytics for Location-Dependent Time-Series Data.
Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

2018
Los angeles metro bus data analysis using GPS trajectory and schedule data (demo paper).
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

Exploiting spatiotemporal patterns for accurate air quality forecasting using deep learning.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017
Mining Public Datasets for Modeling Intra-City PM2.5 Concentrations at a Fine Spatial Resolution.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017


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