Mining Public Datasets for Modeling Intra-City PM2.5 Concentrations at a Fine Spatial Resolution. - Yijun Lin 001; Yao-Yi Chiang; Fan Pan; Dimitrios Stripelis; José Luis Ambite; Sandrah P. Eckel; Rima Habre (SIGSPATIAL/GIS, 2017)

Exploiting spatiotemporal patterns for accurate air quality forecasting using deep learning. - Yijun Lin 001; Nikhit Mago; Yu Gao; Yaguang Li; Yao-Yi Chiang; Cyrus Shahabi; José Luis Ambite (SIGSPATIAL/GIS, 2018)

Los angeles metro bus data analysis using GPS trajectory and schedule data (demo paper). - Kien Nguyen 003; Jingyun Yang; Yijun Lin 001; Jianfa Lin; Yao-Yi Chiang; Cyrus Shahabi (SIGSPATIAL/GIS, 2018)

Building Explainable Predictive Analytics for Location-Dependent Time-Series Data. - Yao-Yi Chiang; Yijun Lin 001; Meredith Franklin; Sandrah P. Eckel; José Luis Ambite; Wei-Shinn Ku (CogMI, 2019)

Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction. - Yijun Lin 001; Yao-Yi Chiang; Meredith Franklin; Sandrah P. Eckel; José Luis Ambite (ICDM, 2020)

A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data. - Yijun Lin 001; Yao-Yi Chiang (CoRR, 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 004; Jay Pujara; Basel Shbita; Binh Vu; Yao-Yi Chiang; et al. (ACM Trans. Interact. Intell. Syst., 2021)

A Semi-Supervised Learning Approach for Abnormal Event Prediction on Large Network Operation Time-Series Data. - Yijun Lin 001; Yao-Yi Chiang (IEEE Big Data, 2022)

The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps. - Jina Kim; Zekun Li 007; Yijun Lin 001; Min Namgung; Leeje Jang; Yao-Yi Chiang (SIGSPATIAL/GIS, 2023)

Modeling Spatially Varying Physical Dynamics for Spatiotemporal Predictive Learning. - Yijun Lin 001; Yao-Yi Chiang (SIGSPATIAL/GIS, 2023)

ICDAR 2024 Competition on Historical Map Text Detection, Recognition, and Linking. - Zekun Li 007; Yijun Lin 001; Yao-Yi Chiang; Jerod Weinman; Solenn Tual; Joseph Chazalon; Julien Perret; Bertrand Duménieu; Nathalie Abadie (ICDAR (6), 2024)

Hyper-Local Deformable Transformers for Text Spotting on Historical Maps. - Yijun Lin 001; Yao-Yi Chiang (KDD, 2024)

Less is More: Multimodal Region Representation via Pairwise Inter-view Learning. - Min Namgung; Yijun Lin 001; JangHyeon Lee; Yao-Yi Chiang (CoRR, 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 007; Yijun Lin 001; Yao-Yi Chiang (CoRR, 2025)

Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning. - Yijun Lin 001; Theresa Chen; Colby Brungard; Grunwald Sabine; Sue Ives; Matt Macander; Timm Nawrocki; Yao-Yi Chiang; Nic Jelinski (CoRR, 2025)

LIGHT: Multi-Modal Text Linking on Historical Maps. - Yijun Lin 001; Rhett M. Olson; Junhan Wu; Yao-Yi Chiang; Jerod Weinman (CoRR, 2025)