See up-to-date publications in my Google Scholar and in CV
Yijun Lin, Leeje Jang, and Zekun Li. Text Spotting for Scanned Historical Maps. In Encyclopedia of GIS (3rd Edition), Yiqun Xie (Ed.), Springer, 2025. Accepted.
Yao-Yi Chiang, Muhao Chen, Weiwei Duan, Jina Kim, Craig A. Knoblock, Stefan Leyk, Zekun Li, Yijun Lin, Min Namgung, Basel Shbita, and Johannes H. Uhl. GeoAI for the Digitization of Historical Maps. In Handbook of Geospatial Artificial Intelligence (pp. 217–247), CRC Press, 2023.
Yao-Yi Chiang and Yijun Lin. Design, Development, Testing, and Deployment of GIS Applications. In The Geographic Information Science & Technology Body of Knowledge (4th Quarter 2020 Edition), John P. Wilson (Ed.). doi: 10.22224/gistbok/2020.4.2.
Pi-Ling Pai, Hsiang-Hsi Lu, Wen-Rong Su, Hsiung-Ming Liao, Yijun Lin, Yao-Yi Chiang, and Ta-Chien Chan. AI-supported smart search for multi-period historical maps using the mapKurator place name index. Journal of Map & Geography Libraries, pp. 1–23, 2025.
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, …, and Lele Shu. Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Transactions on Interactive Intelligent Systems (ACM TiiS), 11(2), 1–49, 2021.
Khaoula Karroum, Yijun Lin, Yao-Yi Chiang, Yann Ben Maissa, Mohamed El Haziti, Anton Sokolov, and Hervé Delbarre. A review of air quality modeling. MAPAN, 35(2), 287–300, 2020.
Kenan Li, Rima Habre, Huiyu Deng, Robert Urman, John Morrison, Frank D. Gilliland, José-Luis Ambite, Dimitris Stripelis, Yao-Yi Chiang, Yijun Lin, Alex A. T. Bui, Christine King, Anahita Hosseini, Eleanne Van, Majid Sarrafzadeh, and Sandrah P. Eckel. Applying Multivariate Segmentation Methods to Human Activity Recognition from Wearable Sensors Data. JMIR mHealth and uHealth, 7(2), e11201, 2019.
[WACV’26] Leeje Jang, Yijun Lin, Yao-Yi Chiang, and Jerod Weinman. TiCLS: Tightly Coupled Language Text Spotter. In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025. Accepted.
[SIGSPATIAL’25] Yijun Lin*, Theresa Chen*, Colby Brungard, Sabine Grunwald, Sue Ives, Matt Macander, Timm Nawrocki, Yao-Yi Chiang, and Nic Jelinski. Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning. In Proceedings of the 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Minneapolis, MN, USA, 2025. Accepted. (* = Equal Contribution)
[SIGSPATIAL’25] Yijun Lin, Fandal Lin, Jina Kim, and Yao-Yi Chiang. MoVER: Modeling User Heterogeneity with Enriched Trajectory Representations for Human Mobility Prediction (Short Paper). In Proceedings of the 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Minneapolis, MN, USA, 2025. Accepted.
[SIGSPATIAL’25] Weiwei Duan, Michael P. Gerlek, Steven N. Minton, Craig A. Knoblock, Fandal Lin, Theresa Chen, Leeje Jang, Sofia Kirsanova, Zekun Li, Yijun Lin, and Yao-Yi Chiang. DIGMAPPER: A Modular System for Automated Geologic Map Digitization. In Proceedings of the 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Minneapolis, MN, USA, 2025. Accepted.
[ICDAR’25] Yijun Lin, Rhett Olson, Junhan Wu, Yao-Yi Chiang, and Jerod Weinman. LIGHT: Multi-Modal Text Linking on Historical Maps. In International Conference on Document Analysis and Recognition, pp. 60–77, Cham: Springer Nature Switzerland, Wuhan, Hubei, China, 2025. (12.7% oral presentation)
[ICDAR’25] Yijun Lin, Solenn Tual, Zekun Li, Leeje Jang, Yao-Yi Chiang, Jerod Weinman, Joseph Chazalon, Edwin Carlinet, Julien Perret, Nathalie Abadie, Bertrand Dum, Ta-Chien Chan, Hsiung-Ming Liao, Wen-Rong Su, Mengjie Zou, Tianhao Dai, Rémi Petitpierre, Beatrice Vaienti, Frederic Kaplan, Isabella di Lenardo, Youngmin Baek, Michael Hentschel, Yu Nakagome, Ichimura Shuta, Jeongtae Lee, and Chankyu Choi. ICDAR 2025 Competition on Historical Map Text Detection, Recognition, and Linking. In International Conference on Document Analysis and Recognition, pp. 568–585, Cham: Springer Nature Switzerland, Wuhan, Hubei, China, 2025.
[KDD’24] Yijun Lin and Yao-Yi Chiang. Hyper-Local Deformable Transformers for Text Spotting on Historical Maps. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 5387–5397, Barcelona, Spain, 2024.
[ICDAR’24] Zekun Li, Yijun Lin, Yao-Yi Chiang, Jerod Weinman, Solenn Tual, Joseph Chazalon, Julien Perret, Bertrand Duménieu, and Nathalie Abadie. ICDAR 2024 Competition on Historical Map Text Detection, Recognition, and Linking. In International Conference on Document Analysis and Recognition, pp. 363–380, Cham: Springer Nature Switzerland, Athens, Greece, 2024.
[SIGSPATIAL’23] Yijun Lin and Yao-Yi Chiang. Modeling Spatially Varying Physical Dynamics for Spatiotemporal Predictive Learning. In Proceedings of the 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Article 98, 1–11, Hamburg, Germany, 2023.
[SIGSPATIAL’23] Jina Kim, Zekun Li, Yijun Lin, Min Namgung, Leeje Jang, and Yao-Yi Chiang. The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps (Demo Paper). In Proceedings of the 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Article 35, 1–4, Hamburg, Germany, 2023.
[BIGDATA’22] Yijun Lin and Yao-Yi Chiang. A Semi-Supervised Learning Approach for Abnormal Event Prediction on Large Network Operation Time-Series Data. In Proceedings of the 2022 IEEE International Conference on Big Data, pp. 1024–1033, Osaka, Japan, 2022.
[ICDM’20] Yijun Lin, Yao-Yi Chiang, Meredith Franklin, Sandrah P. Eckel, and José-Luis Ambite. Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction. In Proceedings of IEEE International Conference on Data Mining (ICDM), pp. 352–361, Sorrento, Italy, 2020. (9.8% acceptance rate)
[CogMI’19] Yao-Yi Chiang, Yijun Lin, Meredith Franklin, Sandrah P. Eckel, José-Luis Ambite, and Wei-Shinn Ku. Building Explainable Data Analytics for Location Dependent Time-Series Data (Invited Paper). In Proceedings of IEEE International Conference on Cognitive Machine Intelligence (CogMI), pp. 202–209, Los Angeles, CA, USA, 2019.
[SIGSPATIAL’18] Yijun Lin, Nikhit Mago, Yu Gao, Yaguang Li, Yao-Yi Chiang, Cyrus Shahabi, and José-Luis Ambite. Exploiting spatiotemporal patterns for accurate air quality forecasting using deep learning. In Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 359–368, Seattle, WA, USA, 2018.
[SIGSPATIAL’18] Kien Nguyen, Jingyun Yang, Yijun Lin, Jianfa Lin, Yao-Yi Chiang, and Cyrus Shahabi. Los Angeles Metro Bus Data Analysis Using GPS Trajectory and Schedule Data (Demo Paper). In Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 560–563, Seattle, WA, USA, 2018.
[SIGSPATIAL’17] Yijun Lin, Yao-Yi Chiang, Fan Pan, Dimitrios Stripelis, José-Luis Ambite, Sandrah P. Eckel, and Rima Habre. Mining Public Datasets for Modeling Intra-City PM2.5 Concentrations at a Fine Spatial Resolution. In Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Article 25, Redondo Beach, CA, USA, 2017.
ICDAR25 Map Text Competition (Traditional Chinese) [Dataset]. (2025). Open Database License (ODbL) v1.1. Available at: https://zenodo.org/records/14585814.
ICDAR24 Map Text Competition (English) [Dataset]. (2024). Open Database License (ODbL) v1.1. Available at: https://zenodo.org/records/11516933.
mapKurator: A Complete System for Text Recognition from Maps [Computer software]. (2022). CC BY-NC 2.0. Available at: https://github.com/knowledge-computing/mapkurator-system and https://knowledge-computing.github.io/mapkurator-doc/#/docs/introduction .