Yujia Gao

Orcid: 0000-0001-6380-1292

According to our database1, Yujia Gao authored at least 11 papers between 2018 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Named entity recognition of rice genes and phenotypes based on BiGRU neural networks.
Comput. Biol. Chem., February, 2024

2023
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning.
ACM Trans. Intell. Syst. Technol., August, 2023

HoloPOCUS: Portable Mixed-Reality 3D Ultrasound Tracking, Reconstruction and Overlay.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

2021
Federated Sensing: Edge-Cloud Elastic Collaborative Learning for Intelligent Sensing.
IEEE Internet Things J., 2021

Understanding the Usage of Online Media for Parenting from Infancy to Preschool At Scale.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Federated Region-Learning for Environment Sensing in Edge Computing System.
IEEE Trans. Netw. Sci. Eng., 2020

Research on Influence Mechanism of e-WOM on Purchase of Followers in Virtual Community.
Proceedings of the Simulation Tools and Techniques - 12th EAI International Conference, 2020

Identification of Rice Drought-Resistant Gene Based on Gene Expression Profiles and Network Analysis Algorithm.
Proceedings of the Intelligent Computing Theories and Application, 2020

SI-AGAN: Spatial Interpolation with Attentional Generative Adversarial Networks for Environment Monitoring.
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

2019
Optimized Layout of the Soil Moisture Sensor in Tea Plantations Based on Improved Dijkstra Algorithm.
Proceedings of the Parallel Architectures, Algorithms and Programming, 2019

2018
Federated Region-Learning: An Edge Computing Based Framework for Urban Environment Sensing.
Proceedings of the IEEE Global Communications Conference, 2018


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