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Yingnan Zhao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Yingnan Zhao 0001
— George Washington University, Department of Electrical and Computer Engineering, DC, USA
- Yingnan Zhao 0002
- Yingnan Zhao 0003
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Journal Articles
- 2023
- [j7]Qingan Da, Guoyin Zhang, Wenshan Wang, Yingnan Zhao, Dan Lu, Sizhao Li
Adversarial Defense Method Based on Latent Representation Guidance for Remote Sensing Image Scene Classification. Entropy 25(9): 1306 (2023) - [j6]Jielin Jiang
SDAUNet: A simple dual attention mechanism UNet for mixed noise removal. IET Image Process. 17(13): 3884-3896 (2023) - 2022
- [j5]Yingnan Zhao, Guanlan Ji, Fei Chen, Peiyuan Ji, Yi Cao:
Spatio-Temporal Wind Speed Prediction Based on Variational Mode Decomposition. Comput. Syst. Sci. Eng. 43(2): 719-735 (2022) - [j4]Yanman Li, Jun Zhang, Yang Hu, Yingnan Zhao, Yi Cao:
Real-time Safety Helmet-wearing Detection Based on Improved YOLOv5. Comput. Syst. Sci. Eng. 43(3): 1219-1230 (2022) - 2021
- [j3]Jingcheng Qian, Mingfang Zhu, Yingnan Zhao, Xiangjian He
Short-term Wind Speed Prediction with a Two-layer Attention-based LSTM. Comput. Syst. Sci. Eng. 39(2): 197-209 (2021) - 2010
- [j2]Yong Xu, Fengxi Song, Ge Feng, Yingnan Zhao:
A novel local preserving projection scheme for use with face recognition. Expert Syst. Appl. 37(9): 6718-6721 (2010) - 2009
- [j1]Yong Xu, Ge Feng, Yingnan Zhao:
One improvement to two-dimensional locality preserving projection method for use with face recognition. Neurocomputing 73(1-3): 245-249 (2009)
Conference and Workshop Papers
- 2023
- [c13]Yingnan Zhao, Xuezhao Qi, Jian Li, Dan Lu:
UEBCS: Software Development Technology Based on Component Selection. GPC (1) 2023: 3-13 - [c12]Dan Lu, Guoyu Han, Yingnan Zhao, Qilong Han:
Review of Deep Learning-Based Entity Alignment Methods. GPC (1) 2023: 61-71 - [c11]Dan Lu, Siao Li, Yingnan Zhao, Qilong Han:
Anomaly Detection of Industrial Data Based on Multivariate Multi Scale Analysis. GPC (1) 2023: 88-100 - [c10]Yingnan Zhao, Yang Sun, Bin Fan, Dan Lu:
Research on Script-Based Software Component Development. GPC (1) 2023: 101-112 - [c9]Ke Sun, Yingnan Zhao, Shangling Jui, Linglong Kong:
Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations. ECML/PKDD (5) 2023: 36-51 - 2021
- [c8]Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong:
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. NeurIPS 2021: 3732-3743 - 2020
- [c7]Yingnan Zhao, Jie Wu:
General Virtual Images Construction Using Pixel Scrambling for Face Recognition. ICAIS (1) 2020: 444-454 - 2016
- [c6]Yingnan Zhao, Xiangjian He
Virtual Samples Construction Using Image-Block-Stretching for Face Recognition. ADC 2016: 346-354 - 2015
- [c5]Yingnan Zhao, Xiangjian He
Integrating Simplified Inverse Representation and CRC for Face Recognition. MIWAI 2015: 171-183 - 2010
- [c4]Yingnan Zhao, Yan Ma, Zhong Jin:
Mirror-Like Gabor Features for Face Recognition under Varying Illumination Conditions. IIH-MSP 2010: 555-558 - 2008
- [c3]Rui Ma, Yingnan Zhao, Yongquan Xia, Yunyang Yan:
A Touching Pattern-Oriented Strategy for Handwritten Digits Segmentation. CIS (1) 2008: 174-179 - 2006
- [c2]Yong Xu, Yingnan Zhao:
Comparison Study on SVD-Based Face Classification. IIH-MSP 2006: 343-346 - 2004
- [c1]Yingnan Zhao, Jingyu Yang:
Weighted features for infrared vehicle verification based on Gabor filters. ICARCV 2004: 671-675
Informal and Other Publications
- 2024
- [i6]Siyuan Li, Shijie Han, Yingnan Zhao, By Liang, Peng Liu:
Auxiliary Reward Generation with Transition Distance Representation Learning. CoRR abs/2402.07412 (2024) - [i5]Siyuan Li, Rongchang Zuo, Peng Liu, Yingnan Zhao:
An Imitative Reinforcement Learning Framework for Autonomous Dogfight. CoRR abs/2406.11562 (2024) - 2022
- [i4]Ke Sun, Yingnan Zhao, Yi Liu, Bei Jiang, Linglong Kong:
Distributional Reinforcement Learning via Sinkhorn Iterations. CoRR abs/2202.00769 (2022) - 2021
- [i3]Ke Sun, Yi Liu, Yingnan Zhao, Hengshuai Yao, Shangling Jui, Linglong Kong:
Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations. CoRR abs/2109.08776 (2021) - [i2]Ke Sun, Yingnan Zhao, Yi Liu, Enze Shi, Yafei Wang, Aref Sadeghi, Xiaodong Yan, Bei Jiang, Linglong Kong:
Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm. CoRR abs/2110.03155 (2021) - [i1]Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong:
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. CoRR abs/2110.08896 (2021)
Coauthor Index
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