Yuanfan Xu

Orcid: 0000-0002-5671-3734

According to our database¹, Yuanfan Xu authored at least 18 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Localization matters too: How localization error affects UAV flight.

[BibT_eX]

[DOI]

CoRR, 2024

2023

AIGAN: Attention-encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images.

[BibT_eX]

[DOI]

Medical Image Anal., May, 2023

UAV Swarm Planning accelerator on FPGA with low latency and fixed-point L-BFGS Quasi-Newton solver.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Field Programmable Technology, 2023

Spatiotemporal Excitation Module-based CNN for Diagnosis of Hepatic Malignancy in Four-phase CT Images.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

INCAME: Interruptible CNN Accelerator for Multirobot Exploration.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Corrections to "MR-TopoMap: Multi-Robot Exploration Based on Topological Map in Communication Restricted Environment".

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

MR-TopoMap: Multi-Robot Exploration Based on Topological Map in Communication Restricted Environment.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

A Framework to Co-Optimize Robot Exploration and Task Planning in Unknown Environments.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

MR-GMMapping: Communication Efficient Multi-Robot Mapping System via Gaussian Mixture Model.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

A Resource-Efficient Deep Learning Framework for Low-Dose Brain Pet Image Reconstruction and Analysis.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Machine Learning for Electronic Design Automation: A Survey.

[BibT_eX]

[DOI]

ACM Trans. Design Autom. Electr. Syst., 2021

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SMMR-Explore: SubMap-based Multi-Robot Exploration System with Multi-robot Multi-target Potential Field Exploration Method.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

GAME: Gaussian Mixture Model Mapping and Navigation Engine on Embedded FPGA.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021

2020

INCAME: INterruptible CNN Accelerator for Multi-robot Exploration.

[BibT_eX]

[DOI]

Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

INCA: INterruptible CNN Accelerator for Multi-tasking in Embedded Robots.

[BibT_eX]

[DOI]

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Aspect-based sentiment analysis via fusing multiple sources of textual knowledge.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Yuanfan Xu

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