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ORCIDYijun Lin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c23]Zekun Li, Yijun Lin, Yao-Yi Chiang, Jerod 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- [c22]Yijun Lin
, Yao-Yi Chiang:
Hyper-Local Deformable Transformers for Text Spotting on Historical Maps. KDD 2024: 5387-5397 - 2023
- [j5]Yijun Lin, Fengge Wu, Junsuo Zhao:
Reinforcement learning-based image exposure reconstruction for homography estimation. Appl. Intell. 53(12): 15442-15458 (2023) - [j4]Xingzhe Su, Yijun Lin, Quan Zheng, Fengge Wu, Changwen Zheng, Junsuo Zhao:
GSGAN: Learning controllable geospatial images generation. IET Image Process. 17(2): 401-417 (2023) - [j3]Yijun Lin, Fengge Wu, Junsuo Zhao:
CDZoom: a human-like sequential zoom agent for efficient change detection in large scenes. Neural Comput. Appl. 35(11): 8227-8241 (2023) - [c21]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 - [c20]Yijun Lin, Yao-Yi Chiang:
Modeling Spatially Varying Physical Dynamics for Spatiotemporal Predictive Learning. SIGSPATIAL/GIS 2023: 98:1-98:11 - [c19]Yijun Lin, Xingzhe Su, Fengge Wu, Junsuo Zhao:
Exploring Progressive Hybrid-Degraded Image Processing for Homography Estimation. ICASSP 2023: 1-5 - [c18]Keyu Wu, Fengge Wu, Yijun Lin, Junsuo Zhao:
Stable Control Policy and Transferable Reward Function via Inverse Reinforcement Learning. ICCAI 2023: 733-742 - [i5]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
- [c17]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 - [c16]Luísa Leonelli de Moraes, Peiyuan Zhang, Yijun Lin, Wei Ji Ma:
Procrastination and the Intention-Behavior Gap. CogSci 2022 - [c15]Peiyuan Zhang, Yijun Lin, Wei Ji Ma:
Effects of reward schedule and pressure on procrastination. CogSci 2022 - [c14]Yijun Lin, Fengge Wu, Junsuo Zhao:
Learning to Generate High-Quality Images for Homography Estimation. ICIP 2022: 3086-3090 - 2021
- [j2]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) - [c13]Yimin Wu, Jie Zhong, Zhenfang He, Yushuang Wu, Yijun Lin, Yuannan Cai, Nini Cai:
Comparative Analysis and Empirical Research on the Development Status of Innovation Credits System: - - Take Xiamen University as An Example. ICETM 2021: 252-258 - [i4]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) - [i3]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
- [j1]Wan-Yu Deng, Lixia Liu, Jianqiang Li, Yijun Lin:
Auto-Weighted Incomplete Multi-View Clustering. IEEE Access 8: 138752-138762 (2020) - [c12]Yu Wu, Zhenni Zhao, Jie Yang, Yijun Lin:
Weibo Sentiment Classification Based on Two Channels Text Convolution Neural Network with Multi-Feature. CyberC 2020: 152-160 - [c11]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
- [c10]Yijun Lin, Junxing Hu, Fengge Wu, Junsuo Zhao:
Fast Global Motion Estimation on Android-based Software-defined Satellite. ICIS 2019: 72-76 - [c9]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 - [c8]Ling Li, Junxing Hu, Yijun Lin, Fengge Wu, Junsuo Zhao:
IBDNet: Lightweight Network for On-orbit Image Blind Denoising. ICANN (3) 2019: 41-52 - [c7]Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao:
Light-Weight Edge Enhanced Network for On-orbit Semantic Segmentation. ICANN (2) 2019: 321-333 - [c6]Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao:
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images. ICNC-FSKD 2019: 21-29 - [c5]Yijun Lin, Junxing Hu, Ling Li, Fengge Wu, Junsuo Zhao:
Design and Implementation of On-orbit Valuable Image Extraction for the TianZhi-1 Satellite. ISKE 2019: 1076-1080 - [i2]Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao:
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images. CoRR abs/1905.10231 (2019) - [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
- [c4]Yijun Lin, Yuli Xia, Fengge Wu, Junsuo Zhao:
Local Computation with Adaptive Spatial Clustering for Multi-Size Motion Patch Proposals in WAMI. AVSS 2018: 1-6 - [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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last updated on 2024-10-07 22:14 CEST by the dblp team
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