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ORCIDYijun Lin 0001
Person information
- affiliation: University of Minnesota - Twin Cities, Minneapolis, MN, USA
- affiliation (former): University of Southern California, Los Angeles, CA, USA
Other persons with the same name
- Yijun Lin 0002
![[0000-0001-8173-7116]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8173-7116")
— Chinese Academy of Sciences, Institute of Software, Beijing, China (and 1 more) - Yijun Lin 0003 — Chongqing University of Posts and Telecommunications, Institute of Web Intelligence and Technology, China
- Yijun Lin 0004 — Xi'an University of Posts and Telecommunications, School of Computer Science and Technology, China
- Yijun Lin 0005 — Xiamen University, School of Public Affairs, China
- Yijun Lin 0006 — University of Florida, Gainesville, FL, USA
- Yijun Lin 0007 — People's Public Security University of China, Beijing, China
- Yijun Lin 0008 — Imperial College London, UK
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2020 – today
- 2025
[c12]Yijun Lin, Rhett M. Olson, Junhan Wu, Yao-Yi Chiang, Jerod J. Weinman:
LIGHT: Multi-modal Text Linking on Historical Maps. ICDAR (2) 2025: 60-77- [c11]Yijun Lin, Solenn Tual, Zekun Li, Leeje Jang, Yao-Yi Chiang, Jerod J. Weinman, Joseph Chazalon, Edwin Carlinet, Julien Perret, Nathalie Abadie, Bertrand Duménieu, Ta-Chien Chan, Hsiung-Ming Liao, Wen-Rong Su, Mengjie Zou, Tianhao Dai, Rémi Petitpierre, Beatrice Vaienti, Frédéric Kaplan, Isabella di Lenardo, Youngmin Baek, Michael Hentschel, Yu Nakagome, Ichimura Shuta, Jeongtae Lee, Chankyu Choi:
ICDAR 2025 Competition on Historical Map Text Detection, Recognition, and Linking. ICDAR (5) 2025: 568-585 - [i9]Min Namgung, Yijun Lin, JangHyeon Lee, Yao-Yi Chiang:
Less is More: Multimodal Region Representation via Pairwise Inter-view Learning. CoRR abs/2505.18178 (2025) - [i8]Yijun Lin, Yao-Yi Chiang:
Hyper-Local Deformable Transformers for Text Spotting on Historical Maps. CoRR abs/2506.15010 (2025) - [i7]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:
DIGMAPPER: A Modular System for Automated Geologic Map Digitization. CoRR abs/2506.16006 (2025) - [i6]Yijun Lin, Theresa Chen, Colby Brungard, Grunwald Sabine, Sue Ives, Matt Macander, Timm Nawrocki, Yao-Yi Chiang, Nic Jelinski:
Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning. CoRR abs/2506.17302 (2025) - [i5]Yijun Lin, Rhett M. Olson, Junhan Wu, Yao-Yi Chiang, Jerod J. Weinman:
LIGHT: Multi-Modal Text Linking on Historical Maps. CoRR abs/2506.22589 (2025) - 2024
- [c10]Zekun Li, Yijun Lin, Yao-Yi Chiang, Jerod J. Weinman, Solenn Tual, Joseph Chazalon, Julien Perret, Bertrand Duménieu, Nathalie Abadie:
ICDAR 2024 Competition on Historical Map Text Detection, Recognition, and Linking. ICDAR (6) 2024: 363-380 - [c9]Yijun Lin, Yao-Yi Chiang:
Hyper-Local Deformable Transformers for Text Spotting on Historical Maps. KDD 2024: 5387-5397 - 2023
- [c8]Jina Kim, Zekun Li, Yijun Lin, Min Namgung, Leeje Jang, Yao-Yi Chiang:
The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps. SIGSPATIAL/GIS 2023: 35:1-35:4 - [c7]Yijun Lin, Yao-Yi Chiang:
Modeling Spatially Varying Physical Dynamics for Spatiotemporal Predictive Learning. SIGSPATIAL/GIS 2023: 98:1-98:11 - [i4]Jina Kim, Zekun Li, Yijun Lin, Min Namgung, Leeje Jang, Yao-Yi Chiang:
The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps. CoRR abs/2306.17059 (2023) - 2022
- [c6]Yijun Lin, Yao-Yi Chiang:
A Semi-Supervised Learning Approach for Abnormal Event Prediction on Large Network Operation Time-Series Data. IEEE Big Data 2022: 1024-1033 - 2021
- [j1]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:
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. 11(2): 11:1-11:49 (2021) - [i3]Yijun Lin, Yao-Yi Chiang:
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data. CoRR abs/2110.07660 (2021) - [i2]Yijun Lin, Yao-Yi Chiang, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite:
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction. CoRR abs/2112.05313 (2021) - 2020
- [c5]Yijun Lin, Yao-Yi Chiang, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite:
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction. ICDM 2020: 352-361
2010 – 2019
- 2019
- [c4]Yao-Yi Chiang, Yijun Lin, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite, Wei-Shinn Ku:
Building Explainable Predictive Analytics for Location-Dependent Time-Series Data. CogMI 2019: 202-209 - [i1]Kien Nguyen, Jingyun Yang, Yijun Lin, Jianfa Lin, Yao-Yi Chiang, Cyrus Shahabi:
Los Angeles Metro Bus Data Analysis Using GPS Trajectory and Schedule Data (Demo Paper). CoRR abs/1909.00955 (2019) - 2018
- [c3]Yijun Lin, Nikhit Mago, Yu Gao, Yaguang Li, Yao-Yi Chiang, Cyrus Shahabi, José Luis Ambite:
Exploiting spatiotemporal patterns for accurate air quality forecasting using deep learning. SIGSPATIAL/GIS 2018: 359-368 - [c2]Kien Nguyen, Jingyun Yang, Yijun Lin, Jianfa Lin, Yao-Yi Chiang, Cyrus Shahabi:
Los angeles metro bus data analysis using GPS trajectory and schedule data (demo paper). SIGSPATIAL/GIS 2018: 560-563 - 2017
- [c1]Yijun Lin, Yao-Yi Chiang, Fan Pan, Dimitrios Stripelis, José Luis Ambite, Sandrah P. Eckel, Rima Habre:
Mining Public Datasets for Modeling Intra-City PM2.5 Concentrations at a Fine Spatial Resolution. SIGSPATIAL/GIS 2017: 25:1-25:10
Coauthor Index
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