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ORCIDJiajun Cai
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
[j10]Jiajun Cai
, Huaizhi Wang, Hui Jiang:
A Temporal Ensembling Based Semi-Supervised Graph Convolutional Network for Power Quality Disturbances Classification. IEEE Access 12: 75249-75261 (2024)- [j9]Shuang Yi, Sheng Zheng, Senquan Yang, Guangrong Zhou, Jiajun Cai:
Anomaly Detection for Asynchronous Multivariate Time Series of Nuclear Power Plants Using a Temporal-Spatial Transformer. Sensors 24(9): 2845 (2024) - 2023
- [j8]Qinyun Cai, Zhou Zhang, Xiaolong Cui, Chang Zeng, Jiabin Cai, Jiajun Cai, Kai Wu, Xu Zhang, Yixiang Shi, Zoe Arvanitakis, Marc A Bissonnette, Brian C.-H. Chiu, Shi-Yuan Cheng, Chuan He, Wei Zhang:
PETCH-DB: a Portal for Exploring Tissue-specific and Complex disease-associated 5-Hydroxymethylcytosines. Database J. Biol. Databases Curation 2023 (2023) - [j7]Xuanru Zhou, Wenwen Cai, Jiajun Cai, Fan Xiao, Mengke Qi, Jiawen Liu, Linghong Zhou, Yongbao Li, Ting Song:
Multimodality MRI synchronous construction based deep learning framework for MRI-guided radiotherapy synthetic CT generation. Comput. Biol. Medicine 162: 107054 (2023) - [j6]Hao Liu, Bo Huang, Jiajun Cai:
Thick Cloud Removal Under Land Cover Changes Using Multisource Satellite Imagery and a Spatiotemporal Attention Network. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - 2022
- [j5]Jiajun Cai, Bo Huang, Tung Fung:
Progressive spatiotemporal image fusion with deep neural networks. Int. J. Appl. Earth Obs. Geoinformation 108: 102745 (2022) - 2021
- [j4]Jiajun Cai, Bo Huang:
Super-Resolution-Guided Progressive Pansharpening Based on a Deep Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. 59(6): 5206-5220 (2021) - 2020
- [c1]Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng:
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. AAAI 2020: 5758-5766 - [i2]Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng:
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. CoRR abs/2002.12135 (2020) - [i1]Jiajun Cai, Bo Huang:
An Inter- and Intra-Band Loss for Pansharpening Convolutional Neural Networks. CoRR abs/2008.05133 (2020)
2010 – 2019
- 2019
- [j3]Zhenfeng Shao, Yin Pan, Chunyuan Diao, Jiajun Cai:
Cloud Detection in Remote Sensing Images Based on Multiscale Features-Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. 57(6): 4062-4076 (2019) - 2018
- [j2]Zhenfeng Shao, Jiajun Cai:
Remote Sensing Image Fusion With Deep Convolutional Neural Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(5): 1656-1669 (2018) - [j1]Zhenfeng Shao, Jiajun Cai, Zhongyuan Wang:
Smart Monitoring Cameras Driven Intelligent Processing to Big Surveillance Video Data. IEEE Trans. Big Data 4(1): 105-116 (2018)
Coauthor Index
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