Yijun Lin

According to our database, Yijun Lin authored at least 25 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

Reinforcement learning-based image exposure reconstruction for homography estimation.

Yijun Lin, Fengge Wu, Junsuo Zhao

Appl. Intell., June, 2023

CDZoom: a human-like sequential zoom agent for efficient change detection in large scenes.

Yijun Lin, Fengge Wu, Junsuo Zhao

Neural Comput. Appl., April, 2023

GSGAN: Learning controllable geospatial images generation.

Xingzhe Su, Yijun Lin, Quan Zheng, Fengge Wu, Changwen Zheng, Junsuo Zhao

IET Image Process., February, 2023

Stable Control Policy and Transferable Reward Function via Inverse Reinforcement Learning.

Keyu Wu, Fengge Wu, Yijun Lin, Junsuo Zhao

Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

Exploring Progressive Hybrid-Degraded Image Processing for Homography Estimation.

Yijun Lin, Xingzhe Su, Fengge Wu, Junsuo Zhao

Proceedings of the IEEE International Conference on Acoustics, 2023

Modeling Spatially Varying Physical Dynamics for Spatiotemporal Predictive Learning.

Yijun Lin, Yao-Yi Chiang

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps.

Jina Kim, Zekun Li, Yijun Lin, Min Namgung, Leeje Jang, Yao-Yi Chiang

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022

Learning to Generate High-Quality Images for Homography Estimation.

Yijun Lin, Fengge Wu, Junsuo Zhao

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Semi-Supervised Learning Approach for Abnormal Event Prediction on Large Network Operation Time-Series Data.

Yijun Lin, Yao-Yi Chiang

Proceedings of the IEEE International Conference on Big Data, 2022

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, 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

ACM Trans. Interact. Intell. Syst., 2021

A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data.

Yijun Lin, Yao-Yi Chiang

CoRR, 2021

Comparative Analysis and Empirical Research on the Development Status of Innovation Credits System: - - Take Xiamen University as An Example.

Yimin Wu, Jie Zhong, Zhenfang He, Yushuang Wu, Yijun Lin, Yuannan Cai, Nini Cai

Proceedings of the ICETM 2021: 4th International Conference on Education Technology Management, Tokyo, Japan, December 17, 2021

2020

Auto-Weighted Incomplete Multi-View Clustering.

Wan-Yu Deng, Lixia Liu, Jianqiang Li, Yijun Lin

IEEE Access, 2020

Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction.

Yijun Lin, Yao-Yi Chiang, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Weibo Sentiment Classification Based on Two Channels Text Convolution Neural Network with Multi-Feature.

Yu Wu, Zhenni Zhao, Jie Yang, Yijun Lin

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2020

2019

Design and Implementation of On-orbit Valuable Image Extraction for the TianZhi-1 Satellite.

Yijun Lin, Junxing Hu, Ling Li, Fengge Wu, Junsuo Zhao

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images.

Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

IBDNet: Lightweight Network for On-orbit Image Blind Denoising.

Ling Li, Junxing Hu, Yijun Lin, Fengge Wu, Junsuo Zhao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Light-Weight Edge Enhanced Network for On-orbit Semantic Segmentation.

Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Building Explainable Predictive Analytics for Location-Dependent Time-Series Data.

Yao-Yi Chiang, Yijun Lin, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite, Wei-Shinn Ku

Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

Fast Global Motion Estimation on Android-based Software-defined Satellite.

Yijun Lin, Junxing Hu, Fengge Wu, Junsuo Zhao

Proceedings of the 18th IEEE/ACIS International Conference on Computer and Information Science, 2019

2018

Los angeles metro bus data analysis using GPS trajectory and schedule data (demo paper).

Kien Nguyen, Jingyun Yang, Yijun Lin, Jianfa Lin, Yao-Yi Chiang, Cyrus Shahabi

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

Exploiting spatiotemporal patterns for accurate air quality forecasting using deep learning.

Yijun Lin, Nikhit Mago, Yu Gao, Yaguang Li, Yao-Yi Chiang, Cyrus Shahabi, José Luis Ambite

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

Local Computation with Adaptive Spatial Clustering for Multi-Size Motion Patch Proposals in WAMI.

Yijun Lin, Yuli Xia, Fengge Wu, Junsuo Zhao

Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2017

Mining Public Datasets for Modeling Intra-City PM2.5 Concentrations at a Fine Spatial Resolution.

Yijun Lin, Yao-Yi Chiang, Fan Pan, Dimitrios Stripelis, José Luis Ambite, Sandrah P. Eckel, Rima Habre

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017