Xueshuang Xiang

According to our database, Xueshuang Xiang authored at least 38 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Union label smoothing adversarial training: Recognize small perturbation attacks and reject larger perturbation attacks balanced.

Jinshu Huang, Haidong Xie, Chunlin Wu, Xueshuang Xiang

Future Gener. Comput. Syst., November, 2023

A high order unfitted finite element method for time-Harmonic Maxwell interface problems.

Zhiming Chen, Ke Li, Xueshuang Xiang

CoRR, 2023

FASONet: A Feature Alignment-Based SAR and Optical Image Fusion Network for Land Use Classification.

Feng Deng, Meiyu Huang, Wei Bao, Nan Ji, Xueshuang Xiang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Cross-Modal Attentive Recalibration and Dynamic Fusion for Multispectral Pedestrian Detection.

Wei Bao, Jingjing Hu, Meiyu Huang, Xueshuang Xiang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Blind Adversarial Training: Towards Comprehensively Robust Models Against Blind Adversarial Attacks.

Haidong Xie, Xueshuang Xiang, Bin Dong, Naijin Liu

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

Detecting Fine-Grained Airplanes in SAR Images With Sparse Attention-Guided Pyramid and Class-Balanced Data Augmentation.

Wei Bao, Jingjing Hu, Meiyu Huang, Yao Xu, Nan Ji, Xueshuang Xiang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Self-Supervised Pre-Training with Bridge Neural Network for SAR-Optical Matching.

Lixin Qian, Xiaochun Liu, Meiyu Huang, Xueshuang Xiang

Remote. Sens., 2022

Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples.

Haidong Xie, Jia Tan, Xiaoying Zhang, Nan Ji, Haihua Liao, Zuguo Yu, Xueshuang Xiang, Naijin Liu

CoRR, 2022

Adversarial Jamming for a More Effective Constellation Attack.

Haidong Xie, Yizhou Xu, Yuanqing Chen, Nan Ji, Shuai Yuan, Naijin Liu, Xueshuang Xiang

CoRR, 2022

An efficient neural network method with plane wave activation functions for solving Helmholtz equation.

Tao Cui, Ziming Wang, Xueshuang Xiang

Comput. Math. Appl., 2022

AviPer: assisting visually impaired people to perceive the world with visual-tactile multimodal attention network.

Xinrong Li, Meiyu Huang, Yao Xu, Yingze Cao, Yamei Lu, Pengfei Wang, Xueshuang Xiang

CCF Trans. Pervasive Comput. Interact., 2022

Attention-Guided Multi-modal and Multi-scale Fusion for Multispectral Pedestrian Detection.

Wei Bao, Meiyu Huang, Jingjing Hu, Xueshuang Xiang

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

LDGAN: Latent Determined Ensemble Helps Removing IID Data Assumption and Cross-node Sampling in Distributed GANs.

Wei Wang, Ziwen Wu, Xueshuang Xiang, Yue Li

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Stochastic and Dual Adversarial GAN-Boosted Zero-Shot Knowledge Graph.

Xuejiao Liu, Yaowei Guo, Meiyu Huang, Xueshuang Xiang

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Boosting Ship Detection in SAR Images With Complementary Pretraining Techniques.

Wei Bao, Meiyu Huang, Yaqin Zhang, Yao Xu, Xuejiao Liu, Xueshuang Xiang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Closed Form Dispersion Corrections Including a Real Shifted WaveNumber for Finite Difference Discretizations of 2D Constant Coefficient Helmholtz Problems.

Pierre-Henri Cocquet, Martin J. Gander, Xueshuang Xiang

SIAM J. Sci. Comput., 2021

An adaptive high-order unfitted finite element method for elliptic interface problems.

Zhiming Chen, Ke Li, Xueshuang Xiang

Numerische Mathematik, 2021

A high order explicit time finite element method for the acoustic wave equation with discontinuous coefficients.

Zhiming Chen, Yong Liu, Xueshuang Xiang

CoRR, 2021

Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches.

Nan Ji, YanFei Feng, Haidong Xie, Xueshuang Xiang, Naijin Liu

CoRR, 2021

The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion.

Meiyu Huang, Yao Xu, Lixin Qian, Weili Shi, Yaqin Zhang, Wei Bao, Nan Wang, Xuejiao Liu, Xueshuang Xiang

CoRR, 2021

Enhancing Metric-Based Few-Shot Classification With Weighted Large Margin Nearest Center Loss.

Wei Bao, Meiyu Huang, Xueshuang Xiang

IEEE Access, 2021

Legitimate Adversarial Patches: Evading Human Eyes and Detection Models in the Physical World.

Jia Tan, Nan Ji, Haidong Xie, Xueshuang Xiang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Blind Adversarial Pruning: Towards The Comprehensive Robust Models With Gradually Pruning Against Blind Adversarial Attacks.

Haidong Xie, Lixin Qian, Xueshuang Xiang, Naijin Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Towards GANs' Approximation Ability.

Xuejiao Liu, Yao Xu, Xueshuang Xiang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Training Few-Shot Classification via the Perspective of Minibatch and Pretraining.

Meiyu Huang, Yao Xu, Wei Bao, Xueshuang Xiang

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020

A Neural Network with Plane Wave Activation for Helmholtz Equation.

Ziming Wang, Tao Cui, Xueshuang Xiang

CoRR, 2020

How Does GAN-based Semi-supervised Learning Work?

Xuejiao Liu, Xueshuang Xiang

CoRR, 2020

Blind Adversarial Training: Balance Accuracy and Robustness.

Haidong Xie, Xueshuang Xiang, Naijin Liu, Bin Dong

CoRR, 2020

Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness.

Haidong Xie, Lixin Qian, Xueshuang Xiang, Naijin Liu

CoRR, 2020

Training few-shot classification via the perspective of minibatch and pretraining.

Meiyu Huang, Xueshuang Xiang, Yao Xu

CoRR, 2020

Deep Domain Decomposition Method: Elliptic Problems.

Wuyang Li, Xueshuang Xiang, Yingxiang Xu

Proceedings of Mathematical and Scientific Machine Learning, 2020

Stochastic Model Pruning via Weight Dropping Away and Back.

Haipeng Jia, Xueshuang Xiang, Da Fan, Meiyu Huang, Changhao Sun, Yang He

Proceedings of the IPMV 2020: 2nd International Conference on Image Processing and Machine Vision, 2020

2019

A Lightweight Neural Network Based Human Depth Recovery Method.

Meiyu Huang, Xueshuang Xiang, Yao Xu, Yiqiang Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Task-Driven Common Representation Learning via Bridge Neural Network.

Yao Xu, Xueshuang Xiang, Meiyu Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Weighted Large Margin Nearest Center Distance-Based Human Depth Recovery With Limited Bandwidth Consumption.

Meiyu Huang, Xueshuang Xiang, Yiqiang Chen, Da Fan

IEEE Trans. Image Process., 2018

DropPruning for Model Compression.

Haipeng Jia, Xueshuang Xiang, Da Fan, Meiyu Huang, Changhao Sun, Qingliang Meng, Yang He, Chen Chen

CoRR, 2018

2016

Convergence of the PML method for elastic wave scattering problems.

Zhiming Chen, Xueshuang Xiang, Xiaohui Zhang

Math. Comput., 2016

2013

A Source Transfer Domain Decomposition Method for Helmholtz Equations in Unbounded Domain.

Zhiming Chen, Xueshuang Xiang

SIAM J. Numer. Anal., 2013