Automatically and accurately conflating orthoimagery and street maps. - Ching-Chien Chen; Craig A. Knoblock; Cyrus Shahabi; Yao-Yi Chiang; Snehal Thakkar (GIS, 2004)

Automatically identifying and georeferencing street maps on the web. - Sneha Desai; Craig A. Knoblock; Yao-Yi Chiang; Kandarp Desai; Ching-Chien Chen (GIR, 2005)

Automatic extraction of road intersections from raster maps. - Yao-Yi Chiang; Craig A. Knoblock; Ching-Chien Chen (GIS, 2005)

Geodec: Enabling Geospatial Decision Making. - Cyrus Shahabi; Yao-Yi Chiang; Kelvin Chung; Kai-Chen Huang; Jeff Khoshgozaran-Haghighi; Craig A. Knoblock; Sung Lee; Ulrich Neumann; Ram Nevatia; Arjun Rihan; Snehal Thakkar; Suya You (ICME, 2006)

Classification of Line and Character Pixels on Raster Maps Using Discrete Cosine Transformation Coefficients and Support Vector Machine. - Yao-Yi Chiang; Craig A. Knoblock (ICPR (2), 2006)

Automatic extraction of road intersection position, connectivity, and orientations from raster maps. - Yao-Yi Chiang; Craig A. Knoblock (GIS, 2008)

Classification of raster maps for automatic feature extraction. - Yao-Yi Chiang; Craig A. Knoblock (GIS, 2009)

Extracting Road Vector Data from Raster Maps. - Yao-Yi Chiang; Craig A. Knoblock (GREC, 2009)

A Method for Automatically Extracting Road Layers from Raster Maps. - Yao-Yi Chiang; Craig A. Knoblock (ICDAR, 2009)

Automatic and Accurate Extraction of Road Intersections from Raster Maps. - Yao-Yi Chiang; Craig A. Knoblock; Cyrus Shahabi; Ching-Chien Chen (GeoInformatica, 2009)

A general approach to discovering, registering, and extracting features from raster maps. - Craig A. Knoblock; Ching-Chien Chen; Yao-Yi Chiang; Aman Goel; Matthew Michelson; Cyrus Shahabi (DRR, 2010)

Strabo: a system for extracting road vector data from raster maps. - Yao-Yi Chiang; Craig A. Knoblock (GIS, 2010)

An Approach for Recognizing Text Labels in Raster Maps. - Yao-Yi Chiang; Craig A. Knoblock (ICPR, 2010)

Efficient and Robust Graphics Recognition from Historical Maps. - Yao-Yi Chiang; Stefan Leyk; Craig A. Knoblock (GREC, 2011)

Recognition of Multi-oriented, Multi-sized, and Curved Text. - Yao-Yi Chiang; Craig A. Knoblock (ICDAR, 2011)

Generating Named Road Vector Data from Raster Maps. - Yao-Yi Chiang; Craig A. Knoblock (GIScience, 2012)

A semantic approach to retrieving, linking, and integrating heterogeneous geospatial data. - Ying Zhang 010; Yao-Yi Chiang; Pedro A. Szekely; Craig A. Knoblock (AIIP/Semantic Cities@IJCAI, 2013)

A general approach for extracting road vector data from raster maps. - Yao-Yi Chiang; Craig A. Knoblock (Int. J. Document Anal. Recognit., 2013)

From map images to geographic names. - Yao-Yi Chiang; Sima Moghaddam; Sanjauli Gupta; Renuka Fernandes; Craig A. Knoblock (SIGSPATIAL/GIS, 2014)

A system for efficient cleaning and transformation of geospatial data attributes. - Yao-Yi Chiang; Bo Wu 008; Akshay Anand; Ketan Akade; Craig A. Knoblock (SIGSPATIAL/GIS, 2014)

A parallel query engine for interactive spatiotemporal analysis. - Mihir Sathe; Craig A. Knoblock; Yao-Yi Chiang; Aaron Harris (SIGSPATIAL/GIS, 2014)

Integration and Automation of Data Preparation and Data Mining. - Shrikanth S. Narayanan; Ayush Jaiswal; Yao-Yi Chiang; Yanhui Geng; Craig A. Knoblock; Pedro A. Szekely (ICDM Workshops, 2014)

A Survey of Digital Map Processing Techniques. - Yao-Yi Chiang; Stefan Leyk; Craig A. Knoblock (ACM Comput. Surv., 2014)

Querying historical maps as a unified, structured, and linked spatiotemporal source: vision paper. - Yao-Yi Chiang (SIGSPATIAL/GIS, 2015)

Recognizing text in raster maps. - Yao-Yi Chiang; Craig A. Knoblock (GeoInformatica, 2015)

Integrating Text Recognition for Overlapping Text Detection in Maps. - Narges Nazari; Tianxiang Tan; Yao-Yi Chiang (Document Recognition and Retrieval, 2016)

Building knowledge graph from public data for predictive analysis: a case study on predicting technology future in space and time. - Weiwei Duan; Yao-Yi Chiang (BigSpatial@SIGSPATIAL, 2016)

Recognizing text in historical maps using maps from multiple time periods. - Ronald Yu; Zexuan Luo; Yao-Yi Chiang (ICPR, 2016)

Unlocking Textual Content from Historical Maps - Potentials and Applications, Trends, and Outlooks. - Yao-Yi Chiang (RTIP2R, 2016)

Assessing the impact of graphical quality on automatic text recognition in digital maps. - Yao-Yi Chiang; Stefan Leyk; Narges Nazari; Sima Moghaddam; Tianxiang Tan (Comput. Geosci., 2016)

Q2P: Discovering Query Templates via Autocompletion. - Wensheng Wu; Weiyi Meng; Weifeng Su; Guangyou Zhou; Yao-Yi Chiang (ACM Trans. Web, 2016)

Automatic alignment of geographic features in contemporary vector data and historical maps. - Weiwei Duan; Yao-Yi Chiang; Craig A. Knoblock; Vinil Jain; Dan Feldman; Johannes H. Uhl; Stefan Leyk (GeoAI@SIGSPATIAL, 2017)

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)

A Scalable Data Integration and Analysis Architecture for Sensor Data of Pediatric Asthma. - Dimitris Stripelis; José Luis Ambite; Yao-Yi Chiang; Sandrah P. Eckel; Rima Habre (ICDE, 2017)

SRC: a fully automatic geographic feature recognition system. - Weiwei Duan; Yao-Yi Chiang (ACM SIGSPATIAL Special, 2017)

SRC: automatic extraction of phrase-level map labels from historical maps. - Haowen Lin; Yao-Yi Chiang (ACM SIGSPATIAL Special, 2017)

An Uncertainty Aware Method for Geographic Data Conflation. - Haowen Lin; Yao-Yi Chiang (BigSpatial@SIGSPATIAL, 2018)

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 Linked Data from Historical Maps. - Chun Lin; Hang Su; Craig A. Knoblock; Yao-Yi Chiang; Weiwei Duan; Stefan Leyk; Johannes H. Uhl (SemSci@ISWC, 2018)

A Matching Algorithm Based on Voronoi Diagram for Multi-Scale Polygonal Residential Areas. - Jianhua Wu 008; Yangyang Wan; Yao-Yi Chiang; Zhongliang Fu; Min Deng (IEEE Access, 2018)

Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing. - Johannes H. Uhl; Stefan Leyk; Yao-Yi Chiang; Weiwei Duan; Craig A. Knoblock (IET Image Process., 2018)

Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections. - Johannes H. Uhl; Stefan Leyk; Yao-Yi Chiang; Weiwei Duan; Craig A. Knoblock (ISPRS Int. J. Geo Inf., 2018)

Automatic intersection extraction and building arrangement with StarCraft II maps. - Yuanbin Cheng; Yao-Yi Chiang (ACM SIGSPATIAL Special, 2018)

Personalized Recommendation Method of POI Based on Deep Neural Network. - Yuan Gao 045; Zhizhou Duan; Weifeng Shi; Jun Feng 003; Yao-Yi Chiang (BESC, 2019)

DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis. - Mingxuan Yue; Yaguang Li; Haoze Yang; Ritesh Ahuja; Yao-Yi Chiang; Cyrus Shahabi (IEEE BigData, 2019)

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)

ADMSv2: A Modern Architecture for Transportation Data Management and Analysis. - Chrysovalantis Anastasiou; Jianfa Lin; Chaoyang He 001; Yao-Yi Chiang; Cyrus Shahabi (ARIC@SIGSPATIAL, 2019)

Kartta Labs: Unrendering Historical Maps. - Sasan Tavakkol; Yao-Yi Chiang; Tim Waters; Feng Han; Kisalaya Prasad; Raimondas Kiveris (GeoAI@SIGSPATIAL, 2019)

An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. - Daniel Garijo; Deborah Khider; Varun Ratnakar; Yolanda Gil; Ewa Deelman; Rafael Ferreira da Silva; Craig A. Knoblock; Yao-Yi Chiang; Minh Pham 004; Jay Pujara; Binh Vu; Dan Feldman; et al. (IUI Companion, 2019)

A VLOS Compliance Solution to Ground/Aerial Parcel Delivery Problem. - Ji Zhang 002; Ting Shen; Wenlu Wang; Xunfei Jiang; Wei-Shinn Ku; Min-Te Sun; Yao-Yi Chiang (MDM, 2019)

A New Gabor Filter-Based Method for Automatic Recognition of Hatched Residential Areas. - Jianhua Wu 008; Pengjie Wei; Xiaofang Yuan; Zhigang Shu; Yao-Yi Chiang; Zhongliang Fu; Min Deng (IEEE Access, 2019)

Extracting geographic features from the Internet: A geographic information mining framework. - Ying Zhang 010; Qunfei Ma; Yao-Yi Chiang; Craig A. Knoblock; Xin Zhang; Puhai Yang; Minghe Gao; Xiang Hu (Knowl. Based Syst., 2019)

Building Linked Spatio-Temporal Data from Vectorized Historical Maps. - Basel Shbita; Craig A. Knoblock; Weiwei Duan; Yao-Yi Chiang; Johannes H. Uhl; Stefan Leyk (ESWC, 2020)

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)

An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images. - Zekun Li 007; Yao-Yi Chiang; Sasan Tavakkol; Basel Shbita; Johannes H. Uhl; Stefan Leyk; Craig A. Knoblock (KDD, 2020)

Automated Extraction of Human Settlement Patterns From Historical Topographic Map Series Using Weakly Supervised Convolutional Neural Networks. - Johannes H. Uhl; Stefan Leyk; Yao-Yi Chiang; Weiwei Duan; Craig A. Knoblock (IEEE Access, 2020)

Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning. - Weiwei Duan; Yao-Yi Chiang; Stefan Leyk; Johannes H. Uhl; Craig A. Knoblock (Int. J. Geogr. Inf. Sci., 2020)

Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images. - Weiwei Duan; Yao-Yi Chiang; Stefan Leyk; Johannes H. Uhl; Craig A. Knoblock (IEEE BigData, 2021)

A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition. - Weiwei Duan; Yao-Yi Chiang; Stefan Leyk; Johannes H. Uhl; Craig A. Knoblock (IEEE BigData, 2021)

SRC: Incorporating Geographic Information for Building a Location-based Recommendation System. - Yuankun Jiao; Yao-Yi Chiang (SIGSPATIAL/GIS, 2021)

Synthetic Map Generation to Provide Unlimited Training Data for Historical Map Text Detection. - Zekun Li 007; Runyu Guan 001; Qianmu Yu; Yao-Yi Chiang; Craig A. Knoblock (GeoAI@SIGSPATIAL, 2021)

Kartta Labs: Collaborative Time Travel. - Sasan Tavakkol; Feng Han; Brandon Mayer; Mark Phillips; Cyrus Shahabi; Yao-Yi Chiang; Raimondas Kiveris (HICSS, 2021)

VAMBC: A Variational Approach for Mobility Behavior Clustering. - Mingxuan Yue; Yao-Yi Chiang; Cyrus Shahabi (ECML/PKDD (4), 2021)

A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data. - Yijun Lin 001; Yao-Yi Chiang (CoRR, 2021)

BiS4EV: A fast routing algorithm considering charging stations and preferences for electric vehicles. - Ying Zhang 010; Bin Wu; Yao-Yi Chiang; Xin Zhang; Yuanchang Chen; Muyang Li; Fanyu Li (Eng. Appl. Artif. Intell., 2021)

Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents. - Johannes H. Uhl; Stefan Leyk; Zekun Li 007; Weiwei Duan; Basel Shbita; Yao-Yi Chiang; Craig A. Knoblock (Remote. Sens., 2021)

W-TSS: A Wavelet-Based Algorithm for Discovering Time Series Shapelets. - Kenan Li; Huiyu Deng; John Morrison; Rima Habre; Meredith Franklin; Yao-Yi Chiang; Katherine Sward; Frank D. Gilliland; José Luis Ambite; Sandrah P. Eckel (Sensors, 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)

Efficient Deployment of Electric Vehicle Charging Infrastructure: Simultaneous Optimization of Charging Station Placement and Charging Pile Assignment. - Ying Zhang 010; Yanhao Wang; Fanyu Li; Bin Wu; Yao-Yi Chiang; Xin Zhang (IEEE Trans. Intell. Transp. Syst., 2021)

Clustering Human Mobility with Multiple Spaces. - Haoji Hu; Haowen Lin; Yao-Yi Chiang (IEEE Big Data, 2022)

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)

SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation. - Zekun Li 007; Jina Kim; Yao-Yi Chiang; Muhao Chen 001 (EMNLP (Findings), 2022)

Incorporating spatial context for post-OCR in map images. - Min Namgung; Yao-Yi Chiang (GeoAI@SIGSPATIAL, 2022)

Cell-by-Cell Line-of-Sight Probability Models Based on Real-World Base Station Deployment. - Bassel Abou Ali Modad; Xin Yu; Hae Jin Song; Yao-Yi Chiang; Andreas F. Molisch (GLOBECOM, 2022)

Traffic volume prediction for scenic spots based on multi-source and heterogeneous data. - Yuan Gao 045; Yao-Yi Chiang; Xiaoxi Zhang; Min Zhang (Trans. GIS, 2022)

Towards the automated large-scale reconstruction of past road networks from historical maps. - Johannes H. Uhl; Stefan Leyk; Yao-Yi Chiang; Craig A. Knoblock (Comput. Environ. Urban Syst., 2022)

GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding. - Zekun Li 007; Wenxuan Zhou; Yao-Yi Chiang; Muhao Chen 001 (EMNLP, 2023)

Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting. - Arash Hajisafi; Haowen Lin; Sina Shaham; Haoji Hu; Maria Despoina Siampou; Yao-Yi Chiang; Cyrus Shahabi (SIGSPATIAL/GIS, 2023)

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)

Towards Learning of Spatial Triad from Online Text. - Jina Kim; Yao-Yi Chiang (SIGSPATIAL/GIS, 2023)

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

Exploiting Polygon Metadata to Understand Raster Maps - Accurate Polygonal Feature Extraction. - Fandel Lin; Craig A. Knoblock; Basel Shbita; Binh Vu; Zekun Li 007; Yao-Yi Chiang (SIGSPATIAL/GIS, 2023)

Generating Realistic and Representative Trajectories with Mobility Behavior Clustering. - Haowen Lin; Sina Shaham; Yao-Yi Chiang; Cyrus Shahabi (SIGSPATIAL/GIS, 2023)

An Automatic Approach to Finding Geographic Name Changes on Historical Maps. - Rhett M. Olson; Jina Kim; Yao-Yi Chiang (SIGSPATIAL/GIS, 2023)

Quantile Extreme Gradient Boosting for Uncertainty Quantification. - Xiaozhe Yin; Masoud Fallah Shorshani; Rob McConnell; Scott Fruin; Yao-Yi Chiang; Meredith Franklin (CoRR, 2023)

Building spatio-temporal knowledge graphs from vectorized topographic historical maps. - Basel Shbita; Craig A. Knoblock; Weiwei Duan; Yao-Yi Chiang; Johannes H. Uhl; Stefan Leyk (Semantic Web, 2023)

A Constraint-Based Routing and Charging Methodology for Battery Electric Vehicles With Deep Reinforcement Learning. - Ying Zhang 010; Muyang Li; Yuanchang Chen; Yao-Yi Chiang; Yunpeng Hua (IEEE Trans. Smart Grid, 2023)

Optimal and efficient planning of charging stations for electric vehicles in urban areas: formulation, complexity and solutions. - Ying Zhang 010; Yunpeng Hua; Ao Kang; Jiyuan He; Meng Jia; Yao-Yi Chiang (Expert Syst. Appl., 2023)

Multiple ground/aerial parcel delivery problem: a Weighted Road Network Voronoi Diagram based approach. - Po-Wei Harn; Ji Zhang 002; Ting Shen; Wenlu Wang; Xunfei Jiang; Wei-Shinn Ku; Min-Te Sun; Yao-Yi Chiang (Distributed Parallel Databases, 2023)

MiTREE: Multi-input Transformer Ecoregion Encoder for Species Distribution Modelling. - Theresa Chen; Yao-Yi Chiang (GeoAI@SIGSPATIAL, 2024)

Leveraging Large Language Models for Generating Labeled Mineral Site Record Linkage Data. - Jiyoon Pyo; Yao-Yi Chiang (GeoAI@SIGSPATIAL, 2024)

Enabling Semantic-Rich Location Search on Street View Imagery Using Multilingual POI Data. - Leeje Jang; Yao-Yi Chiang (GeoSearch@SIGSPATIAL, 2024)

Automatic Search of Multiword Place Names on Historical Maps. - Rhett M. Olson; Jina Kim; Yao-Yi Chiang (GeoSearch@SIGSPATIAL, 2024)

CrossBag: A Bag of Tricks for Cross-City Mobility Prediction. - Janghyeon Lee 003; Yao-Yi Chiang (HuMob-Challenge@SIGSPATIAL, 2024)

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)

Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data. - Arash Hajisafi; Haowen Lin; Yao-Yi Chiang; Cyrus Shahabi (PKDD (4), 2024)

Unified Modeling and Clustering of Mobility Trajectories with Spatiotemporal Point Processes. - Haowen Lin; Yao-Yi Chiang; Li Xiong 001; Cyrus Shahabi (SDM, 2024)

Unveiling Population Heterogeneity in Health Risks Posed by Environmental Hazards Using Regression-Guided Neural Network. - Jong Woo Nam; Eun Young Choi; Jennifer A. Ailshire; Yao-Yi Chiang (CoRR, 2024)

Anchors Aweigh! Sail for Optimal Unified Multi-Modal Representations. - Minoh Jeong; Min Namgung; Zae Myung Kim; Dongyeop Kang; Yao-Yi Chiang; Alfred Hero (CoRR, 2024)

Context-Aware Trajectory Anomaly Detection. - Haoji Hu; Jina Kim; Jinwei Zhou; Sofia Kirsanova; JangHyeon Lee 003; Yao-Yi Chiang (CoRR, 2024)

GeoAnomaly Detection: Towards finding Needles of Anomalous Behavior in a Haystack of Geospatial Data. - Yao-Yi Chiang; Joon-Seok Kim 001; Cory Krause; Enrico Mattei; Khurram Shafique; Carola Wenk; Andreas Züfle (ACM SIGSPATIAL Special, 2024)

Towards the next generation of Geospatial Artificial Intelligence. - Gengchen Mai; Yiqun Xie; Xiaowei Jia; Ni Lao; Jinmeng Rao; Qing Zhu; Zeping Liu; Yao-Yi Chiang; Junfeng Jiao (Int. J. Appl. Earth Obs. Geoinformation, 2025)

MapQA: Open-domain Geospatial Question Answering on Map Data. - Zekun Li 007; Malcolm Grossman; Ehsan Qasemi; Mihir Kulkarni; Muhao Chen 001; Yao-Yi Chiang (CoRR, 2025)

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

StreetLens: Enabling Human-Centered AI Agents for Neighborhood Assessment from Street View Imagery. - Jina Kim; Leeje Jang; Yao-Yi Chiang; Guanyu Wang; Michelle Pasco (CoRR, 2025)

Transit for All: Mapping Equitable Bike2Subway Connection using Region Representation Learning. - Min Namgung; JangHyeon Lee; Fangyi Ding; 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)