Yanbing Bai

According to our database, Yanbing Bai authored at least 29 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring.

Lemeng Zhao, Junjie Hu, Jianchao Bi, Yanbing Bai, Erick Mas, Shunichi Koshimura

CoRR, 2024

Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning.

Yanbing Bai, Xinyi Wu, Lai Xu, Jihan Pei, Erick Mas, Shunichi Koshimura

CoRR, 2024

FAD-SAR: A Novel Fishing Activity Detection System via Synthetic Aperture Radar Images Based on Deep Learning Method.

Yanbing Bai, Rui-Yang Ju, Siao Li, Zihao Yang, Jinze Yu

CoRR, 2024

Flood Data Analysis on SpaceNet 8 Using Apache Sedona.

Yanbing Bai, Zihao Yang, Jinze Yu, Rui-Yang Ju, Bin Yang, Erick Mas, Shunichi Koshimura

CoRR, 2024

Density Transformer for Unsupervised Time Series Anomaly Detection in Cloud Computing.

Bin Yang, Zian Wang, Zelan Zhu, Ying Xing, Yanbing Bai, Lanshan Zhang, Yaya Wei

Proceedings of the International Joint Conference on Neural Networks, 2024

Estimating Socioeconomic Proxy Variables Using Multimodal Deep Learning Models.

Yanbing Bai, Zelan Zhu, Huixue Su, Xiao Liu, Liangzhi Li

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

A Case-Based Reasoning Framework Augmented with Causal Graph Bayesian Networks for Multi-Hazard Assessment of Earthquake Impacts.

Yiding Dou, Jiaming Zhang, Yuxin Li, Ruyi Qi, Zimeng Yuan, Yanbing Bai, Erick Mas, Shunichi Koshimura

Proceedings of the Workshops at the 32nd International Conference on Case-Based Reasoning (ICCBR-WS 2024) co-located with the 32nd International Conference on Case-Based Reasoning (ICCBR 2024), 2024

A Conditional Generative Adversarial Networks-Augmented Case-Based Reasoning Framework for Crop Yield Predictions with Time-Series Remote Sensing Data.

Yanbing Bai, Dong Chen, Ziyue Zhang

Proceedings of the Workshops at the 32nd International Conference on Case-Based Reasoning (ICCBR-WS 2024) co-located with the 32nd International Conference on Case-Based Reasoning (ICCBR 2024), 2024

Evaluating Performance of LLaMA2 Large Language Model Enhanced by QLoRA Fine-Tuning for English Grammatical Error Correction.

Jing An, Yanbing Bai, Jiyi Li, Junjie Hu, Rui Li, Yuxi Xiao, Rui Hua

Proceedings of the Database and Expert Systems Applications, 2024

2023

Knowledge distillation based lightweight building damage assessment using satellite imagery of natural disasters.

Yanbing Bai, Jinhua Su, Yulong Zou, Bruno Adriano

GeoInformatica, April, 2023

2022

Self-supervised Learning for Building Damage Assessment from Large-Scale xBD Satellite Imagery Benchmark Datasets.

Zaishuo Xia, Zelin Li, Yanbing Bai, Jinze Yu, Bruno Adriano

Proceedings of the Database and Expert Systems Applications, 2022

DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning.

Chengcheng Guo, Bo Zhao, Yanbing Bai

Proceedings of the Database and Expert Systems Applications, 2022

Optimizing the Post-disaster Resource Allocation with Q-Learning: Demonstration of 2021 China Flood.

Linhao Dong, Yanbing Bai, Qingsong Xu, Erick Mas

Proceedings of the Database and Expert Systems Applications, 2022

Word Alignment Based Transformer Model for XML Structured Documentation Translation.

Jing An, Yecheng Tang, Yanbing Bai, Jiyi Li

Proceedings of the Database and Expert Systems Applications, 2022

2021

Return Period Evaluation of the Largest Possible Earthquake Magnitudes in Mainland China Based on Extreme Value Theory.

Ning Ma, Yanbing Bai, Shengwang Meng

Sensors, 2021

Erratum: Liu et al. Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference around Chinese Mainland via Attention-Augmented CNN from Daytime Satellite Imagery. Remote Sens. 2021, 13, 2067.

Haoyu Liu, Xianwen He, Yanbing Bai, Xing Liu, Yilin Wu, Yanyun Zhao, Hanfang Yang

Remote. Sens., 2021

Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference Around Mainland China via Attention-Augmented CNN from Daytime Satellite Imagery.

Haoyu Liu, Xianwen He, Yanbing Bai, Xing Liu, Yilin Wu, Yanyun Zhao, Hanfang Yang

Remote. Sens., 2021

Enhancement of Detecting Permanent Water and Temporary Water in Flood Disasters by Fusing Sentinel-1 and Sentinel-2 Imagery Using Deep Learning Algorithms: Demonstration of Sen1Floods11 Benchmark Datasets.

Yanbing Bai, Wenqi Wu, Zhengxin Yang, Jinze Yu, Bo Zhao, Xing Liu, Hanfang Yang, Erick Mas, Shunichi Koshimura

Remote. Sens., 2021

2020

Technical Solution Discussion for Key Challenges of Operational Convolutional Neural Network-Based Building-Damage Assessment from Satellite Imagery: Perspective from Benchmark xBD Dataset.

Jinhua Su, Yanbing Bai, Xingrui Wang, Dong Lu, Bo Zhao, Hanfang Yang, Erick Mas, Shunichi Koshimura

Remote. Sens., 2020

Pyramid Pooling Module-Based Semi-Siamese Network: A Benchmark Model for Assessing Building Damage from xBD Satellite Imagery Datasets.

Yanbing Bai, Junjie Hu, Jinhua Su, Xing Liu, Haoyu Liu, Xianwen He, Shengwang Meng, Erick Mas, Shunichi Koshimura

Remote. Sens., 2020

2018

Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami.

Yanbing Bai, Erick Mas, Shunichi Koshimura

Remote. Sens., 2018

A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks.

Yanbing Bai, Chang Gao, Sameer Singh, Magaly Koch, Bruno Adriano, Erick Mas, Shunichi Koshimura

IEEE Geosci. Remote. Sens. Lett., 2018

2014

Hyperspectral remote sensing for coal-bed methane exploration.

Chengye Zhang, Qiming Qin, Li Chen, Nan Wang, Yanbing Bai, Shanshan Zhao

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Façade reconstruction from oblique areal images.

Xiucheng Yang, Qiming Qin, Xuebin Qin, Jun Wang, Yanbing Bai, Jianhua Wang, Li Chen

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Passive super-low frequency remote sensing technique for monitoring coal-bed methane reservoirs.

Nan Wang, Qiming Qin, Li Chen, Yanbing Bai, Shanshan Zhao, Cheng Ye Zhang, Huazhong Ren

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

Coal-bed Methane reservoir identification using the natural source Super-Low Frequency remote sensing.

Nan Wang, Qiming Qin, Chao Xie, Li Chen, Yanbing Bai

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Integrating remote sensing and Super-Low Frequency electromagnetic technology in exploration of buried faults.

Li Chen, Qiming Qin, Yanbing Bai, Nan Wang, Jun Wang, Chao Chen

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

A method on Coalbed Methane gas content monitoring based on super-low frequency electromagnetic technology.

Yanbing Bai, Qiming Qin, Li Chen, Nan Wang, Jianhua Wang, Hongbo Jiang

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

The quantitative prediction of Coalbed Methane gas content based on super-low frequency electromagnetic technology.

Yanbing Bai, Qiming Qin, Li Chen, Nan Wang, Jianhua Wang, Chao Chen

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013