Yijun Lin - RankMe

27 papers A* 2B 1Journal 12Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TiCLS : Tightly Coupled Language Text Spotter. CoRR Leeje Jang, Yijun Lin, Yao-Yi Chiang, Jerod J. Weinman
2025	—	`conf`	DIGMAPPER: A Modular System for Automated Geologic Map Digitization. SIGSPATIAL/GIS Weiwei Duan, Yao-Yi Chiang, Theresa Chen, Michael P. Gerlek, Leeje Jang, Sofia Kirsanova, Craig A. Knoblock, Fandel Lin, Yijun Lin, Zekun Li, Steven N. Minton
2025	J	`jnl`	DIGMAPPER: A Modular System for Automated Geologic Map Digitization. CoRR 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
2025	J	`jnl`	FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models. CoRR Jiyoon Pyo, Yuankun Jiao, Dongwon Jung, Zekun Li, Leeje Jang, Sofia Kirsanova, Jina Kim, Yijun Lin, Qin Liu, Junyi Xie, Hadi Askari, Nan Xu, Muhao Chen, Yao-Yi Chiang
2025	—	`conf`	Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning. SIGSPATIAL/GIS Yijun Lin, Theresa Chen, Colby Brungard, Sabine Grunwald, Sue Ives, Matt Macander, Timm Nawrocki, Yao-Yi Chiang, Nic Jelinski
2025	J	`jnl`	Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning. CoRR Yijun Lin, Theresa Chen, Colby Brungard, Sabine Grunwald, Sue Ives, Matt Macander, Timm Nawrocki, Yao-Yi Chiang, Nic Jelinski
2025	J	`jnl`	Hyper-Local Deformable Transformers for Text Spotting on Historical Maps. CoRR Yijun Lin, Yao-Yi Chiang
2025	—	`conf`	ICDAR 2025 Competition on Historical Map Text Detection, Recognition, and Linking. ICDAR (5) 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
2025	J	`jnl`	LIGHT: Multi-Modal Text Linking on Historical Maps. CoRR Yijun Lin, Rhett M. Olson, Junhan Wu, Yao-Yi Chiang, Jerod J. Weinman
2025	—	`conf`	LIGHT: Multi-modal Text Linking on Historical Maps. ICDAR (2) Yijun Lin, Rhett M. Olson, Junhan Wu, Yao-Yi Chiang, Jerod J. Weinman
2025	J	`jnl`	Less is More: Multimodal Region Representation via Pairwise Inter-view Learning. CoRR Min Namgung, Yijun Lin, JangHyeon Lee, Yao-Yi Chiang
2025	—	`conf`	MoVER: Modeling User Heterogeneity with Enriched Trajectory Representations for Human Mobility Prediction. SIGSPATIAL/GIS Yijun Lin, Fandel Lin, Jina Kim, Yao-Yi Chiang
2024	A*	`conf`	Hyper-Local Deformable Transformers for Text Spotting on Historical Maps. KDD Yijun Lin, Yao-Yi Chiang
2024	—	`conf`	ICDAR 2024 Competition on Historical Map Text Detection, Recognition, and Linking. ICDAR (6) Zekun Li, Yijun Lin, Yao-Yi Chiang, Jerod J. Weinman, Solenn Tual, Joseph Chazalon, Julien Perret, Bertrand Duménieu, Nathalie Abadie
2023	—	`conf`	Modeling Spatially Varying Physical Dynamics for Spatiotemporal Predictive Learning. SIGSPATIAL/GIS Yijun Lin, Yao-Yi Chiang
2023	—	`conf`	The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps. SIGSPATIAL/GIS Jina Kim, Zekun Li, Yijun Lin, Min Namgung, Leeje Jang, Yao-Yi Chiang
2023	J	`jnl`	The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps. CoRR Jina Kim, Zekun Li, Yijun Lin, Min Namgung, Leeje Jang, Yao-Yi Chiang
2022	B	`conf`	A Semi-Supervised Learning Approach for Abnormal Event Prediction on Large Network Operation Time-Series Data. IEEE Big Data Yijun Lin, Yao-Yi Chiang
2021	J	`jnl`	A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data. CoRR Yijun Lin, Yao-Yi Chiang
2021	J	`jnl`	Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. 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
2021	J	`jnl`	Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction. CoRR Yijun Lin, Yao-Yi Chiang, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite
2020	A*	`conf`	Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction. ICDM Yijun Lin, Yao-Yi Chiang, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite
2019	—	`conf`	Building Explainable Predictive Analytics for Location-Dependent Time-Series Data. CogMI Yao-Yi Chiang, Yijun Lin, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite, Wei-Shinn Ku
2019	J	`jnl`	Los Angeles Metro Bus Data Analysis Using GPS Trajectory and Schedule Data (Demo Paper). CoRR Kien Nguyen, Jingyun Yang, Yijun Lin, Jianfa Lin, Yao-Yi Chiang, Cyrus Shahabi
2018	—	`conf`	Exploiting spatiotemporal patterns for accurate air quality forecasting using deep learning. SIGSPATIAL/GIS Yijun Lin, Nikhit Mago, Yu Gao, Yaguang Li, Yao-Yi Chiang, Cyrus Shahabi, José Luis Ambite
2018	—	`conf`	Los angeles metro bus data analysis using GPS trajectory and schedule data (demo paper). SIGSPATIAL/GIS Kien Nguyen, Jingyun Yang, Yijun Lin, Jianfa Lin, Yao-Yi Chiang, Cyrus Shahabi
2017	—	`conf`	Mining Public Datasets for Modeling Intra-City PM2.5 Concentrations at a Fine Spatial Resolution. SIGSPATIAL/GIS Yijun Lin, Yao-Yi Chiang, Fan Pan, Dimitrios Stripelis, José Luis Ambite, Sandrah P. Eckel, Rima Habre