Search Results - "Xiang, Xueshuang"

An adaptive high-order unfitted finite element method for elliptic interface problems by Chen, Zhiming, Li, Ke, Xiang, Xueshuang

“…We design an adaptive unfitted finite element method on the Cartesian mesh with hanging nodes. We derive an hp -reliable and efficient residual type a…”
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High Order Deep Neural Network for Solving High Frequency Partial Differential Equations by Zhipeng Chang, Zhipeng Chang, Ke Li, Ke Li, Xiufen Zou, Xiufen Zou, Xueshuang Xiang, Xueshuang Xiang

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Low‐Interception Waveforms: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples by Tan, Jia, Xie, Haidong, Zhang, Xiaoying, Ji, Nan, Liao, Haihua, Yu, ZuGuo, Xiang, Xueshuang, Liu, Naijin

“…Deep learning is applied to many complex tasks in the field of wireless communication, such as modulation recognition of spectrum waveforms, because of its…”
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Convergence of the PML method for elastic wave scattering problems by Chen, Zhiming, Xiang, Xueshuang, Zhang, Xiaohui

“…In this paper we study the convergence of the perfectly matched layer (PML) method for solving the time harmonic elastic wave scattering problems. We introduce…”
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Boosting Ship Detection in SAR Images With Complementary Pretraining Techniques by Bao, Wei, Huang, Meiyu, Zhang, Yaqin, Xu, Yao, Liu, Xuejiao, Xiang, Xueshuang

“…Deep learning methods have made significant progress in ship detection in synthetic aperture radar (SAR) images. The pretraining technique is usually adopted…”
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Self-Supervised Pre-Training with Bridge Neural Network for SAR-Optical Matching by Qian, Lixin, Liu, Xiaochun, Huang, Meiyu, Xiang, Xueshuang

“…Due to the vast geometric and radiometric differences between SAR and optical images, SAR-optical image matching remains an intractable challenge. Despite the…”
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Weighted Large Margin Nearest Center Distance-Based Human Depth Recovery With Limited Bandwidth Consumption by Huang, Meiyu, Xiang, Xueshuang, Chen, Yiqiang, Fan, Da

“…This paper proposes a weighted large margin nearest center (WLMNC) distance-based human depth recovery method for tele-immersive video interaction systems with…”
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Enhancing Metric-Based Few-Shot Classification With Weighted Large Margin Nearest Center Loss by Bao, Wei, Huang, Meiyu, Xiang, Xueshuang

“…Metric-learning-based methods, which attempt to learn a deep embedding space on extremely large episodes, have been successfully applied to few-shot…”
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Detecting Fine-Grained Airplanes in SAR Images With Sparse Attention-Guided Pyramid and Class-Balanced Data Augmentation by Bao, Wei, Hu, Jingjing, Huang, Meiyu, Xu, Yao, Ji, Nan, Xiang, Xueshuang

“…Airplane detection in synthetic aperture radar (SAR) images has drawn much attention owing to the success of deep learning methods. However, the development of…”
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Dynamic adversarial jamming-based reinforcement learning for designing constellations by Xu, Yizhou, Xie, Haidong, Ji, Nan, Chen, Yuanqing, Liu, Naijin, Xiang, Xueshuang

“…To resist various types of jamming in wireless channels, appropriate constellation modulation is used in wireless communication to ensure a low bit error rate…”
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Accurate but fragile passive non-line-of-sight recognition by Wang, Yangyang, Zhang, Yaqin, Huang, Meiyu, Chen, Zhao, Jia, Yi, Weng, Yudong, Xiao, Lin, Xiang, Xueshuang

“…Non-line-of-sight (NLOS) imaging is attractive for its potential applications in autonomous vehicles, robotic vision, and biomedical imaging. NLOS imaging can…”
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Decentralized Distributed Deep Learning with Low-Bandwidth Consumption for Smart Constellations by Meng, Qingliang, Huang, Meiyu, Xu, Yao, Liu, Naijin, Xiang, Xueshuang

“…For the space-based remote sensing system, onboard intelligent processing based on deep learning has become an inevitable trend. To adapt to the dynamic…”
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A Tunable on-Chip Integrated Plasmonic Filter and Router Based on Metal/Dielectric Nanostructures by Lu, Cuicui, Wang, Hui-Qin, Miao, Jianxiang, Guo, Weixuan, Xiang, Xueshuang, Liu, Yong-Chun

“…An on-chip integrated wavelength filter and router device is realized using two-dimensional metal/dielectric nanostructures. The device can filter wavelengths…”
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A Bridge Neural Network-Based Optical-SAR Image Joint Intelligent Interpretation Framework by Huang, Meiyu, Xu, Yao, Qian, Lixin, Shi, Weili, Zhang, Yaqin, Bao, Wei, Wang, Nan, Liu, Xuejiao, Xiang, Xueshuang

“…The current interpretation technology of remote sensing images is mainly focused on single-modal data, which cannot fully utilize the complementary and…”
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Improving the Deconvolution of Spectrum at Finite Temperature via Neural Network by Xie, Haidong, Xiang, Xueshuang, Chen, Yuanqing

“…In the study of condensed matter physics, spectral information plays an important role for understand the mechanism of materials. However, it is difficult to…”
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A SOURCE TRANSFER DOMAIN DECOMPOSITION METHOD FOR HELMHOLTZ EQUATIONS IN UNBOUNDED DOMAIN by CHEN, ZHIMING, XIANG, XUESHUANG

“…We propose and study a domain decomposition method for solving the truncated perfectly matched layer (PML) approximation in bounded domain of Helmholtz…”
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Double Source Transfer Domain Decomposition Method For Helmholtz Problems

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An efficient neural network method with plane wave activation functions for solving Helmholtz equation by Cui, Tao, Wang, Ziming, Xiang, Xueshuang

“…In this paper, we propose a plane wave activation based neural network (PWNN) to solve the Helmholtz equation with constant coefficients and relatively large…”
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Adversarial Jamming for a More Effective Constellation Attack by Xie, Haidong, Xu, Yizhou, Chen, Yuanqing, Ji, Nan, Yuan, Shuai, Liu, Naijin, Xiang, Xueshuang

“…The common jamming mode in wireless communication is band barrage jamming, which is controllable and difficult to resist. Although this method is simple to…”
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Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness by Xie, Haidong, Qian, Lixin, Xiang, Xueshuang, Liu, Naijin

“…With the growth of interest in the attack and defense of deep neural networks, researchers are focusing more on the robustness of applying them to devices with…”
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