Yingnan Zhao
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:
- Yingnan Zhao 001 (George Washington University, Department of Electrical and Computer Engineering, DC, USA)
- Yingnan Zhao 002 (Harbin Institute of Technology, School of Computer Science and Technology, China)
- Yingnan Zhao 003 (Nanjing University, School of Business, China)
Bibliography
2025
Dsrn-svmamba: a dual-stream recursive network base on SVMamba for scene text recognition.
J. Supercomput., October, 2025
Quantum Inf. Process., October, 2025
CAgMLP: An MLP-like architecture with a Cross-Axis gated token mixer for image classification.
J. Vis. Commun. Image Represent., 2025
Adrenal Volume Quantitative Visualization Tool by Multiple Parameters and an nnU-Net Deep Learning Automatic Segmentation Model.
J. Imaging Inform. Medicine, 2025
GDText-VM: an arbitrary-shaped scene text detector based on globally deformable VMamba.
Complex Intell. Syst., 2025
Starnet-tex: lightweight real-time text detection via middle-order enhanced contextual attention.
Complex Intell. Syst., 2025
Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
2024
Short-Term Wind Power Prediction Based on WVMD and Spatio-Temporal Dual-Stream Network.
Comput. Mater. Continua, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
RPF-ELD: Regional Prior Fusion using Early and Late Distillation for Breast Cancer Recognition in Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
IET Image Process., 2023
Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
2022
Intell. Autom. Soft Comput., 2022
Comput. Syst. Sci. Eng., 2022
Comput. Syst. Sci. Eng., 2022
2021
Comput. Syst. Sci. Eng., 2021
Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm.
CoRR, 2021
Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations.
CoRR, 2021
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020
2016
Proceedings of the Databases Theory and Applications, 2016
2015
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2015
2011
Proceedings of the Applied Informatics and Communication - International Conference, 2011
2010
Expert Syst. Appl., 2010
Mirror-Like Gabor Features for Face Recognition under Varying Illumination Conditions.
Proceedings of the Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010), 2010
2009
One improvement to two-dimensional locality preserving projection method for use with face recognition.
Neurocomputing, 2009
2008
Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008
2006
Proceedings of the Second International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2006), 2006
2004
Proceedings of the Intelligent Information Processing II, 2004
Proceedings of the Intelligent Information Processing II, 2004
Proceedings of the 8th International Conference on Control, 2004