Yijun Lin

According to our database, Yijun Lin authored at least 16 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

LIGHT: Multi-Modal Text Linking on Historical Maps.

Yijun Lin, Rhett M. Olson, Junhan Wu, Yao-Yi Chiang, Jerod Weinman

CoRR, June, 2025

Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning.

Yijun Lin, Theresa Chen, Colby Brungard, Grunwald Sabine, Sue Ives, Matt Macander, Timm Nawrocki, Yao-Yi Chiang, Nic Jelinski

CoRR, June, 2025

DIGMAPPER: A Modular System for Automated Geologic Map Digitization.

Weiwei Duan, Michael P. Gerlek, Steven N. Minton, Craig A. Knoblock, Fandel Lin, Theresa Chen, Leeje Jang, Sofia Kirsanova, Zekun Li, Yijun Lin, Yao-Yi Chiang

CoRR, June, 2025

Less is More: Multimodal Region Representation via Pairwise Inter-view Learning.

Min Namgung, Yijun Lin, JangHyeon Lee, Yao-Yi Chiang

CoRR, May, 2025

2024

Hyper-Local Deformable Transformers for Text Spotting on Historical Maps.

Yijun Lin, Yao-Yi Chiang

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.

Zekun Li, Yijun Lin, Yao-Yi Chiang, Jerod Weinman, Solenn Tual, Joseph Chazalon, Julien Perret, Bertrand Duménieu, Nathalie Abadie

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.

Yijun Lin, Yao-Yi Chiang

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.

Jina Kim, Zekun Li, Yijun Lin, Min Namgung, Leeje Jang, Yao-Yi Chiang

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.

Yijun Lin, Yao-Yi Chiang

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.

Yolanda Gil, Daniel Garijo, Deborah Khider, Craig A. Knoblock, Varun Ratnakar, Maximiliano Osorio, Hernán Vargas, Minh Pham, Jay Pujara, Basel Shbita, Binh Vu, Yao-Yi Chiang, Dan Feldman, Yijun Lin, Hayley Song, Vipin Kumar, Ankush Khandelwal, Michael S. Steinbach, Kshitij Tayal, Shaoming Xu, Suzanne A. Pierce, Lissa Pearson, Daniel Hardesty-Lewis, Ewa Deelman, Rafael Ferreira da Silva, Rajiv Mayani, Armen R. Kemanian, Yuning Shi, Lorne Leonard, Scott D. Peckham, Maria Stoica, Kelly M. Cobourn, Zeya Zhang, Christopher J. Duffy, Lele Shu

ACM Trans. Interact. Intell. Syst., 2021

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

Yijun Lin, Yao-Yi Chiang

CoRR, 2021

2020

Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction.

Yijun Lin, Yao-Yi Chiang, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Building Explainable Predictive Analytics for Location-Dependent Time-Series Data.

Yao-Yi Chiang, Yijun Lin, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite, Wei-Shinn Ku

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).

Kien Nguyen, Jingyun Yang, Yijun Lin, Jianfa Lin, Yao-Yi Chiang, Cyrus Shahabi

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.

Yijun Lin, Nikhit Mago, Yu Gao, Yaguang Li, Yao-Yi Chiang, Cyrus Shahabi, José Luis Ambite

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.

Yijun Lin, Yao-Yi Chiang, Fan Pan, Dimitrios Stripelis, José Luis Ambite, Sandrah P. Eckel, Rima Habre

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017