Yijun Lin

Orcid: 0000-0002-0815-9636

According to our database1, Yijun Lin authored at least 29 papers between 2017 and 2024.

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Bibliography

2024
Hyper-Local Deformable Transformers for Text Spotting on Historical Maps.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ICDAR 2024 Competition on Historical Map Text Detection, Recognition, and Linking.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

2023
Reinforcement learning-based image exposure reconstruction for homography estimation.
Appl. Intell., June, 2023

CDZoom: a human-like sequential zoom agent for efficient change detection in large scenes.
Neural Comput. Appl., April, 2023

GSGAN: Learning controllable geospatial images generation.
IET Image Process., February, 2023

Stable Control Policy and Transferable Reward Function via Inverse Reinforcement Learning.
Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

Exploring Progressive Hybrid-Degraded Image Processing for Homography Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Modeling Spatially Varying Physical Dynamics for Spatiotemporal Predictive Learning.
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.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022
Learning to Generate High-Quality Images for Homography Estimation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Effects of reward schedule and pressure on procrastination.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Procrastination and the Intention-Behavior Gap.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

A Semi-Supervised Learning Approach for Abnormal Event Prediction on Large Network Operation Time-Series Data.
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.
ACM Trans. Interact. Intell. Syst., 2021

A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data.
CoRR, 2021

Comparative Analysis and Empirical Research on the Development Status of Innovation Credits System: - - Take Xiamen University as An Example.
Proceedings of the ICETM 2021: 4th International Conference on Education Technology Management, Tokyo, Japan, December 17, 2021

2020
Auto-Weighted Incomplete Multi-View Clustering.
IEEE Access, 2020

Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction.
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.
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.
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.
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.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Light-Weight Edge Enhanced Network for On-orbit Semantic Segmentation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Building Explainable Predictive Analytics for Location-Dependent Time-Series Data.
Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

Fast Global Motion Estimation on Android-based Software-defined Satellite.
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).
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.
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.
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.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017


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