Jie Gao

Affiliations:
  • Tianjin University, Tianjin, China


According to our database1, Jie Gao authored at least 37 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Spatio-temporal graph cross-correlation auto-encoding network for wind power prediction.
Int. J. Mach. Learn. Cybern., January, 2024

2023
Time series cross-correlation network for wind power prediction.
Appl. Intell., May, 2023

RFI-GAN: A reference-guided fuzzy integral network for ultrasound image augmentation.
Inf. Sci., April, 2023

ATTransUNet: An enhanced hybrid transformer architecture for ultrasound and histopathology image segmentation.
Comput. Biol. Medicine, 2023

An Unsupervised Domain Adaptive Network Based on Category Prototype Alignment for Medical Image Segmentation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

A Prior-Guided Generative Adversarial Net for Semantically Strict Ultrasound Images Augmentation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

An Industrial Defect Detection Network with Fine-Grained Supervision and Adaptive Contrast Enhancement.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

IntrNet: Weakly Supervised Segmentation of Thyroid Nodules Based on Intra-image and Inter-image Semantic Information.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022
A Progressive Generative Adversarial Method for Structurally Inadequate Medical Image Data Augmentation.
IEEE J. Biomed. Health Informatics, 2022

Dynamic sample weighting for weakly supervised object detection.
Image Vis. Comput., 2022

Feature discretization-based deep clustering for thyroid ultrasound image feature extraction.
Comput. Biol. Medicine, 2022

FBCU-Net: A fine-grained context modeling network using boundary semantic features for medical image segmentation.
Comput. Biol. Medicine, 2022

Multi-task Class Feature Space Fusion Domain Adaptation Network for Thyroid Ultrasound Images: Research on Generalization of Smart Healthcare Systems.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

IDPL: Intra-subdomain Adaptation Adversarial Learning Segmentation Method Based on Dynamic Pseudo Labels.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Border Sensitive Network in Weakly Supervised Thyroid Nodule Detection for Ultrasound Image.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Cascade marker removal algorithm for thyroid ultrasound images.
Medical Biol. Eng. Comput., 2020

Superposition Graph Neural Network for offshore wind power prediction.
Future Gener. Comput. Syst., 2020

Generative Adversarial Network Using Multi-modal Guidance for Ultrasound Images Inpainting.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Multi-scale Object Detection in Optical Remote Sensing Images Using Atrous Feature Pyramid Network.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

BTDE: Block Term Decomposition Embedding for Link Prediction in Knowledge Graph.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Boundary-aware Segmentation Network Using Multi-Task Enhancement for Ultrasound Image.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Tumor Classification Based on Approximate Symmetry Using Dual-Branch Complementary Fusion Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

MSDAN: Multi-Scale Self-Attention Unsupervised Domain Adaptation Network for Thyroid Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Extraction and Portrait of Knowledge Points for Open Learning Resources.
Proceedings of the Web Information Systems and Applications, 2020

2019
LSTM-EFG for wind power forecasting based on sequential correlation features.
Future Gener. Comput. Syst., 2019

A Feedback Attention Network for Classification and Visualization of Thyroid Nodules on Ultrasound Images.
Aust. J. Intell. Inf. Process. Syst., 2019

Multi-Attention Object Detection Model in Remote Sensing Images Based on Multi-Scale.
IEEE Access, 2019

A Wind Power Prediction Method Based on Deep Convolutional Network with Multiple Features.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

An Attention-based Semi-supervised Neural Network for Thyroid Nodules Segmentation.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Blind Image Inpainting Using Pyramid GAN on Thyroid Ultrasound Images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Internet of Things security and privacy-preserving method through nodes differentiation, concrete cluster centers, multi-signature, and blockchain.
Int. J. Distributed Sens. Networks, 2018

Analysis and Application of the Spatio-Temporal Feature in Wind Power Prediction.
Comput. Syst. Sci. Eng., 2018

The Research of Spam Web Page Detection Method Based on Web Page Differentiation and Concrete Cluster Centers.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2018

Research on Hot Micro-blog Forecast Based on XGBOOST and Random Forest.
Proceedings of the Knowledge Science, Engineering and Management, 2018

Product Recommendation Method Based on Sentiment Analysis.
Proceedings of the Web Information Systems and Applications, 2018

2017
Authentication With Block-Chain Algorithm and Text Encryption Protocol in Calculation of Social Network.
IEEE Access, 2017

Communities Mining and Recommendation for Large-Scale Mobile Social Networks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2017


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