Yuhan Guo
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Yuhan Guo 001 (Zhejiang University of Science and Technology, School of Science, Hangzhou, China)
- Yuhan Guo 002 (Harbin Institute of Technology, School of Management, China)
- Yuhan Guo 003 (Dalian Maritime University, College of Transportation Engineering, China)
- Yuhan Guo 004 (Peking University, School of AI, MoE Key Laboratory of Machine Perception, Beijing, China)
- Yuhan Guo 005 (Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Water Cycle and Related Land Surface Processes, Beijing, China)
- Yuhan Guo 006 (Beijing Normal University, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, China)
- Yuhan Guo 007 (East China University of Science and Technology, Business School, Shanghai, China)
Bibliography
2026
CoRR, March, 2026
Medical Image Privacy in Federated Learning: Segmentation-Reorganization and Sparsified Gradient Matching Attacks.
IEEE J. Biomed. Health Informatics, February, 2026
DD-YOLO: A dual-channel dual-path YOLO network for target detection of blurred vehicles.
Digit. Signal Process., 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
The value of [<sup>18</sup>F]-FDG PET/CT in the diagnostic of patients having gastrointestinal cancers with second primary malignancies: a retrospective study.
BMC Medical Imaging, December, 2025
DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations.
CoRR, August, 2025
CoRR, August, 2025
IEEE Trans. Circuits Syst. Video Technol., June, 2025
Reb-YOLO: An Accuracy-Improved Vehicle Detection Network Under Low-Recognized Environments.
IEEE Trans. Instrum. Meas., 2025
Research on fast control of distributed photovoltaic countercurrent based on multidimensional data mining.
Comput. Electr. Eng., 2025
2024
Multi-Strategy Adversarial Learning for Robust Face Forgery Detection Under Heterogeneous and Composite Attacks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024