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Yaodong Zhao
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2020 – today
- 2024
- [c5]Yue Xu, Xin Liu, Kun He, Shao Huang, Yaodong Zhao, Jie Gu:
Image Mixing and Gradient Smoothing to Enhance the SAR Image Attack Transferability. ICASSP 2024: 5380-5384 - 2022
- [c4]Zhen Yu, Yifeng Xiong, Kun He, Shao Huang, Yaodong Zhao, Jie Gu:
Position-Invariant Adversarial Attacks on Neural Modulation Recognition. ICASSP 2022: 3483-3487 - 2021
- [j2]Kaisheng Liao, Yaodong Zhao, Jie Gu, Yaping Zhang, Yi Zhong:
Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification. IEEE Access 9: 27182-27188 (2021) - [c3]Youjia Zhou, Nithin Chalapathi, Archit Rathore, Yaodong Zhao, Bei Wang:
Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data. PacificVis 2021: 101-110 - 2020
- [j1]Bin Wu, Shibo Yuan, Peng Li, Zehuan Jing, Shao Huang, Yaodong Zhao:
Radar Emitter Signal Recognition Based on One-Dimensional Convolutional Neural Network with Attention Mechanism. Sensors 20(21): 6350 (2020) - [i3]Youjia Zhou, Nithin Chalapathi, Archit Rathore, Yaodong Zhao, Bei Wang:
Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data. CoRR abs/2011.03209 (2020)
2010 – 2019
- 2019
- [c2]Xiulian Luo, Youbing Gao, Shao Huang, Yaodong Zhao, Shengmiao Zhang:
Modification of Q-learning to Adapt to the Randomness of Environment. ICCAIS 2019: 1-4 - [c1]Hao Mu, Jie Gu, Yaodong Zhao:
A Deinterleaving Method for Mixed Pulse Signals in Complex Electromagnetic Environment. ICCAIS 2019: 1-4 - [i2]Kaisheng Liao, Yaodong Zhao, Jie Gu, Yaping Zhang, Yi Zhong:
Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification. CoRR abs/1909.03050 (2019) - 2018
- [i1]Lin Yan, Yaodong Zhao, Paul Rosen, Carlos Scheidegger, Bei Wang:
Homology-Preserving Dimensionality Reduction via Manifold Landmarking and Tearing. CoRR abs/1806.08460 (2018)
Coauthor Index
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last updated on 2024-10-30 21:32 CET by the dblp team
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