1 citations · 2 across the 10 of their papers we have counts for
10 papers
Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks
Haoji Hu, Huaqing Mao, Yijun Lin +4
Pairwise dependence measures such as correlation and causality are fundamental to temporal data mining, yet there is still no principled and robust way to quantify dependence betwe…
TiCLS : Tightly Coupled Language Text Spotter
Leeje Jang, Yijun Lin, Yao-Yi Chiang +1
Scene text spotting aims to detect and recognize text in real-world images, where instances are often short, fragmented, or visually ambiguous. Existing methods primarily rely on v…
FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models
Jiyoon Pyo, Yuankun Jiao, Dongwon Jung +11
Cartographic reasoning is the skill of interpreting geographic relationships by aligning legends, map scales, compass directions, map texts, and geometries across one or more map i…
LIGHT: Multi-Modal Text Linking on Historical Maps
Yijun Lin, Rhett Olson, Junhan Wu +2
Text on historical maps provides valuable information for studies in history, economics, geography, and other related fields. Unlike structured or semi-structured documents, text o…
DIGMAPPER: A Modular System for Automated Geologic Map Digitization
Weiwei Duan, Michael P. Gerlek, Steven N. Minton +8
Historical geologic maps contain rich geospatial information, such as rock units, faults, folds, and bedding planes, that is critical for assessing mineral resources essential to r…
Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning
Yijun Lin, Theresa Chen, Colby Brungard +6
Fine-scale soil mapping in Alaska, traditionally relying on fieldwork and localized simulations, remains a critical yet underdeveloped task, despite the region's ecological importa…
Hyper-Local Deformable Transformers for Text Spotting on Historical Maps
Yijun Lin, Yao-Yi Chiang
Text on historical maps contains valuable information providing georeferenced historical, political, and cultural contexts. However, text extraction from historical maps is challen…
The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps
Jina Kim, Zekun Li, Yijun Lin +3
Scanned historical maps in libraries and archives are valuable repositories of geographic data that often do not exist elsewhere. Despite the potential of machine learning tools li…
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction
Yijun Lin, Yao-Yi Chiang, Meredith Franklin +2
Many scientific prediction problems have spatiotemporal data- and modeling-related challenges in handling complex variations in space and time using only sparse and unevenly distri…
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data
Yijun Lin, Yao-Yi Chiang
Large network logs, recording multivariate time series generated from heterogeneous devices and sensors in a network, can often reveal important information about abnormal activiti…