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2020 – today
- 2024
[c15]Xi Zeng, Xuejiao Liu, Xueshuang Xiang:
Confidence-Weighted Teacher: Semi-Supervised Object Detection Based on Confidence Correction. PRCV (13) 2024: 309-323- 2023
- [j12]Jinshu Huang
, Haidong Xie, Chunlin Wu, Xueshuang Xiang:
Union label smoothing adversarial training: Recognize small perturbation attacks and reject larger perturbation attacks balanced. Future Gener. Comput. Syst. 148: 600-609 (2023) - [c14]Haidong Xie, Xueshuang Xiang, Bin Dong, Naijin Liu:
Blind Adversarial Training: Towards Comprehensively Robust Models Against Blind Adversarial Attacks. CICAI (2) 2023: 15-26 - [c13]Feng Deng, Meiyu Huang, Wei Bao, Nan Ji, Xueshuang Xiang:
FASONet: A Feature Alignment-Based SAR and Optical Image Fusion Network for Land Use Classification. PRCV (10) 2023: 298-310 - [c12]Wei Bao, Jingjing Hu, Meiyu Huang, Xueshuang Xiang:
Cross-Modal Attentive Recalibration and Dynamic Fusion for Multispectral Pedestrian Detection. PRCV (1) 2023: 499-510 - [i17]Zhiming Chen, Ke Li, Xueshuang Xiang:
A high order unfitted finite element method for time-Harmonic Maxwell interface problems. CoRR abs/2301.08944 (2023) - 2022
- [j11]Xinrong Li, Meiyu Huang, Yao Xu, Yingze Cao, Yamei Lu, Pengfei Wang, Xueshuang Xiang:
AviPer: assisting visually impaired people to perceive the world with visual-tactile multimodal attention network. CCF Trans. Pervasive Comput. Interact. 4(3): 219-239 (2022) - [j10]Tao Cui, Ziming Wang, Xueshuang Xiang:
An efficient neural network method with plane wave activation functions for solving Helmholtz equation. Comput. Math. Appl. 111: 34-49 (2022) - [j9]Lixin Qian, Xiaochun Liu, Meiyu Huang, Xueshuang Xiang:
Self-Supervised Pre-Training with Bridge Neural Network for SAR-Optical Matching. Remote. Sens. 14(12): 2749 (2022) - [j8]Wei Bao, Jingjing Hu, Meiyu Huang, Yao Xu, Nan Ji, Xueshuang Xiang:
Detecting Fine-Grained Airplanes in SAR Images With Sparse Attention-Guided Pyramid and Class-Balanced Data Augmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8586-8599 (2022) - [c11]Xuejiao Liu, Yaowei Guo, Meiyu Huang, Xueshuang Xiang:
Stochastic and Dual Adversarial GAN-Boosted Zero-Shot Knowledge Graph. CICAI (3) 2022: 55-67 - [c10]Wei Wang, Ziwen Wu, Xueshuang Xiang, Yue Li:
LDGAN: Latent Determined Ensemble Helps Removing IID Data Assumption and Cross-node Sampling in Distributed GANs. ICPR 2022: 2135-2141 - [c9]Wei Bao, Meiyu Huang, Jingjing Hu, Xueshuang Xiang:
Attention-Guided Multi-modal and Multi-scale Fusion for Multispectral Pedestrian Detection. PRCV (1) 2022: 382-393 - [i16]Haidong Xie, Yizhou Xu, Yuanqing Chen, Nan Ji, Shuai Yuan, Naijin Liu, Xueshuang Xiang:
Adversarial Jamming for a More Effective Constellation Attack. CoRR abs/2201.08052 (2022) - [i15]Haidong Xie, Jia Tan, Xiaoying Zhang, Nan Ji, Haihua Liao, Zuguo Yu, Xueshuang Xiang, Naijin Liu:
Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples. CoRR abs/2201.08731 (2022) - 2021
- [j7]Wei Bao, Meiyu Huang, Xueshuang Xiang:
Enhancing Metric-Based Few-Shot Classification With Weighted Large Margin Nearest Center Loss. IEEE Access 9: 90805-90815 (2021) - [j6]Zhiming Chen, Ke Li, Xueshuang Xiang:
An adaptive high-order unfitted finite element method for elliptic interface problems. Numerische Mathematik 149(3): 507-548 (2021) - [j5]Pierre-Henri Cocquet, Martin J. Gander, Xueshuang Xiang:
Closed Form Dispersion Corrections Including a Real Shifted WaveNumber for Finite Difference Discretizations of 2D Constant Coefficient Helmholtz Problems. SIAM J. Sci. Comput. 43(1): A278-A308 (2021) - [j4]Wei Bao, Meiyu Huang, Yaqin Zhang, Yao Xu, Xuejiao Liu, Xueshuang Xiang:
Boosting Ship Detection in SAR Images With Complementary Pretraining Techniques. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 8941-8954 (2021) - [c8]Meiyu Huang, Yao Xu, Wei Bao, Xueshuang Xiang:
Training Few-Shot Classification via the Perspective of Minibatch and Pretraining. CICAI 2021: 650-661 - [c7]Xuejiao Liu, Yao Xu, Xueshuang Xiang:
Towards GANs' Approximation Ability. ICME 2021: 1-6 - [c6]Haidong Xie, Lixin Qian, Xueshuang Xiang, Naijin Liu:
Blind Adversarial Pruning: Towards The Comprehensive Robust Models With Gradually Pruning Against Blind Adversarial Attacks. ICME 2021: 1-6 - [c5]Jia Tan, Nan Ji, Haidong Xie, Xueshuang Xiang:
Legitimate Adversarial Patches: Evading Human Eyes and Detection Models in the Physical World. ACM Multimedia 2021: 5307-5315 - [i14]Wei Bao, Meiyu Huang, Yaqin Zhang, Yao Xu, Xuejiao Liu, Xueshuang Xiang:
Boosting ship detection in SAR images with complementary pretraining techniques. CoRR abs/2103.08251 (2021) - [i13]Meiyu Huang, Yao Xu, Lixin Qian, Weili Shi, Yaqin Zhang, Wei Bao, Nan Wang, Xuejiao Liu, Xueshuang Xiang:
The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion. CoRR abs/2103.08259 (2021) - [i12]Nan Ji, YanFei Feng, Haidong Xie, Xueshuang Xiang, Naijin Liu:
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches. CoRR abs/2103.08860 (2021) - [i11]Zhiming Chen, Yong Liu, Xueshuang Xiang:
A high order explicit time finite element method for the acoustic wave equation with discontinuous coefficients. CoRR abs/2112.02867 (2021) - 2020
- [c4]Haipeng Jia, Xueshuang Xiang, Da Fan, Meiyu Huang, Changhao Sun, Yang He:
Stochastic Model Pruning via Weight Dropping Away and Back. IPMV 2020: 1-9 - [c3]Wuyang Li, Xueshuang Xiang, Yingxiang Xu:
Deep Domain Decomposition Method: Elliptic Problems. MSML 2020: 269-286 - [i10]Wuyang Li, Xueshuang Xiang, Yingxiang Xu:
Deep Domain Decomposition Method: Elliptic Problems. CoRR abs/2004.04884 (2020) - [i9]Meiyu Huang, Xueshuang Xiang, Yao Xu:
Training few-shot classification via the perspective of minibatch and pretraining. CoRR abs/2004.05910 (2020) - [i8]Xuejiao Liu, Yao Xu, Xueshuang Xiang:
Towards GANs' Approximation Ability. CoRR abs/2004.05912 (2020) - [i7]Haidong Xie, Lixin Qian, Xueshuang Xiang, Naijin Liu:
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness. CoRR abs/2004.05913 (2020) - [i6]Haidong Xie, Xueshuang Xiang, Naijin Liu, Bin Dong:
Blind Adversarial Training: Balance Accuracy and Robustness. CoRR abs/2004.05914 (2020) - [i5]Xuejiao Liu, Xueshuang Xiang:
How Does GAN-based Semi-supervised Learning Work? CoRR abs/2007.05692 (2020) - [i4]Zhiming Chen, Ke Li, Xueshuang Xiang:
An adaptive high-order unfitted finite element method for elliptic interface problems. CoRR abs/2009.01656 (2020) - [i3]Ziming Wang, Tao Cui, Xueshuang Xiang:
A Neural Network with Plane Wave Activation for Helmholtz Equation. CoRR abs/2012.13870 (2020)
2010 – 2019
- 2019
- [c2]Yao Xu, Xueshuang Xiang, Meiyu Huang:
Task-Driven Common Representation Learning via Bridge Neural Network. AAAI 2019: 5573-5580 - [c1]Meiyu Huang, Xueshuang Xiang, Yao Xu, Yiqiang Chen:
A Lightweight Neural Network Based Human Depth Recovery Method. ICME 2019: 1834-1839 - [i2]Yao Xu, Xueshuang Xiang, Meiyu Huang:
Task-Driven Common Representation Learning via Bridge Neural Network. CoRR abs/1906.10897 (2019) - 2018
- [j3]Meiyu Huang, Xueshuang Xiang, Yiqiang Chen, Da Fan:
Weighted Large Margin Nearest Center Distance-Based Human Depth Recovery With Limited Bandwidth Consumption. IEEE Trans. Image Process. 27(12): 5728-5743 (2018) - [i1]Haipeng Jia, Xueshuang Xiang, Da Fan, Meiyu Huang, Changhao Sun, Qingliang Meng, Yang He, Chen Chen:
DropPruning for Model Compression. CoRR abs/1812.02035 (2018) - 2016
- [j2]Zhiming Chen, Xueshuang Xiang, Xiaohui Zhang:
Convergence of the PML method for elastic wave scattering problems. Math. Comput. 85(302): 2687-2714 (2016) - 2013
- [j1]Zhiming Chen, Xueshuang Xiang:
A Source Transfer Domain Decomposition Method for Helmholtz Equations in Unbounded Domain. SIAM J. Numer. Anal. 51(4): 2331-2356 (2013)
Coauthor Index
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