A Source Transfer Domain Decomposition Method for Helmholtz Equations in Unbounded Domain. - Zhiming Chen; Xueshuang Xiang (SIAM J. Numer. Anal., 2013)

Convergence of the PML method for elastic wave scattering problems. - Zhiming Chen; Xueshuang Xiang; Xiaohui Zhang (Math. Comput., 2016)

DropPruning for Model Compression. - Haipeng Jia; Xueshuang Xiang; Da Fan; Meiyu Huang; Changhao Sun; Qingliang Meng; Yang He; Chen Chen (CoRR, 2018)

Weighted Large Margin Nearest Center Distance-Based Human Depth Recovery With Limited Bandwidth Consumption. - Meiyu Huang; Xueshuang Xiang; Yiqiang Chen 001; Da Fan (IEEE Trans. Image Process., 2018)

Task-Driven Common Representation Learning via Bridge Neural Network. - Yao Xu; Xueshuang Xiang; Meiyu Huang (AAAI, 2019)

A Lightweight Neural Network Based Human Depth Recovery Method. - Meiyu Huang; Xueshuang Xiang; Yao Xu; Yiqiang Chen 001 (ICME, 2019)

Stochastic Model Pruning via Weight Dropping Away and Back. - Haipeng Jia; Xueshuang Xiang; Da Fan; Meiyu Huang; Changhao Sun; Yang He (IPMV, 2020)

Deep Domain Decomposition Method: Elliptic Problems. - Wuyang Li; Xueshuang Xiang; Yingxiang Xu (MSML, 2020)

Training few-shot classification via the perspective of minibatch and pretraining. - Meiyu Huang; Xueshuang Xiang; Yao Xu (CoRR, 2020)

Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness. - Haidong Xie; Lixin Qian; Xueshuang Xiang; Naijin Liu (CoRR, 2020)

Blind Adversarial Training: Balance Accuracy and Robustness. - Haidong Xie; Xueshuang Xiang; Naijin Liu; Bin Dong (CoRR, 2020)

How Does GAN-based Semi-supervised Learning Work? - Xuejiao Liu 001; Xueshuang Xiang (CoRR, 2020)

A Neural Network with Plane Wave Activation for Helmholtz Equation. - Ziming Wang; Tao Cui; Xueshuang Xiang (CoRR, 2020)

Training Few-Shot Classification via the Perspective of Minibatch and Pretraining. - Meiyu Huang; Yao Xu; Wei Bao; Xueshuang Xiang (CICAI, 2021)

Towards GANs' Approximation Ability. - Xuejiao Liu 001; Yao Xu; Xueshuang Xiang (ICME, 2021)

Blind Adversarial Pruning: Towards The Comprehensive Robust Models With Gradually Pruning Against Blind Adversarial Attacks. - Haidong Xie; Lixin Qian; Xueshuang Xiang; Naijin Liu (ICME, 2021)

Legitimate Adversarial Patches: Evading Human Eyes and Detection Models in the Physical World. - Jia Tan; Nan Ji; Haidong Xie; Xueshuang Xiang (ACM Multimedia, 2021)

Enhancing Metric-Based Few-Shot Classification With Weighted Large Margin Nearest Center Loss. - Wei Bao; Meiyu Huang; Xueshuang Xiang (IEEE Access, 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 001; 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)

A high order explicit time finite element method for the acoustic wave equation with discontinuous coefficients. - Zhiming Chen; Yong Liu; Xueshuang Xiang (CoRR, 2021)

An adaptive high-order unfitted finite element method for elliptic interface problems. - Zhiming Chen; Ke Li; Xueshuang Xiang (Numerische Mathematik, 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)

Boosting Ship Detection in SAR Images With Complementary Pretraining Techniques. - Wei Bao; Meiyu Huang; Yaqin Zhang; Yao Xu; Xuejiao Liu 001; Xueshuang Xiang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Stochastic and Dual Adversarial GAN-Boosted Zero-Shot Knowledge Graph. - Xuejiao Liu 001; Yaowei Guo; Meiyu Huang; Xueshuang Xiang (CICAI (3), 2022)

LDGAN: Latent Determined Ensemble Helps Removing IID Data Assumption and Cross-node Sampling in Distributed GANs. - Wei Wang 250; Ziwen Wu; Xueshuang Xiang; Yue Li 013 (ICPR, 2022)

Attention-Guided Multi-modal and Multi-scale Fusion for Multispectral Pedestrian Detection. - Wei Bao; Meiyu Huang; Jingjing Hu; Xueshuang Xiang (PRCV (1), 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)

An efficient neural network method with plane wave activation functions for solving Helmholtz equation. - Tao Cui; Ziming Wang; Xueshuang Xiang (Comput. Math. Appl., 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)

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)

Self-Supervised Pre-Training with Bridge Neural Network for SAR-Optical Matching. - Lixin Qian; Xiaochun Liu; Meiyu Huang; Xueshuang Xiang (Remote. Sens., 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)

Blind Adversarial Training: Towards Comprehensively Robust Models Against Blind Adversarial Attacks. - Haidong Xie; Xueshuang Xiang; Bin Dong; Naijin Liu (CICAI (2), 2023)

Cross-Modal Attentive Recalibration and Dynamic Fusion for Multispectral Pedestrian Detection. - Wei Bao; Jingjing Hu; Meiyu Huang; Xueshuang Xiang (PRCV (1), 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 (PRCV (10), 2023)

A high order unfitted finite element method for time-Harmonic Maxwell interface problems. - Zhiming Chen; Ke Li; Xueshuang Xiang (CoRR, 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., 2023)

Incremental Learning Strategy with Multi-dimensional Knowledge Distillation for One-stage Object Detection. - Yimeng Li; Xuejiao Liu 001; Xueshuang Xiang; Yu-An Tan 001; Weizhi Meng 001 (INDIN, 2024)

Confidence-Weighted Teacher: Semi-Supervised Object Detection Based on Confidence Correction. - Xi Zeng; Xuejiao Liu 001; Xueshuang Xiang (PRCV (13), 2024)

Adaptive Basis-inspired Deep Neural Network for Solving Partial Differential Equations with Localized Features. - Ke Li; Yaqin Zhang; Yunqing Huang; Chenyue Xie; Xueshuang Xiang (CoRR, 2024)

Dynamic adversarial jamming-based reinforcement learning for designing constellations. - Yizhou Xu; Haidong Xie; Nan Ji; Yuanqing Chen; Naijin Liu; Xueshuang Xiang (Digit. Commun. Networks, 2024)

Attention-based network for passive non-light-of-sight reconstruction in complex scenes. - Yaqin Zhang; Meiyu Huang; Yangyang Wang; Zhao Chen; Yunqing Huang; Xueshuang Xiang (Vis. Comput., 2024)

Cross-Modal Feature Calibration and Fusion Network for Remote Sensing Optical-SAR Joint Object Detection Under Cloud Occlusion. - Zijuan Ding; Yin Yang 003; Yaqin Zhang; Xiaoyi Luo; Meiyu Huang; Xueshuang Xiang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Dual-Dynamic Cross-Modal Interaction Network for Multimodal Remote Sensing Object Detection. - Wei Bao; Meiyu Huang; Jingjing Hu; Xueshuang Xiang (IEEE Trans. Geosci. Remote. Sens., 2025)

A Kolmogorov High Order Deep Neural Network for High Frequency Partial Differential Equations in High Dimensions. - Yaqin Zhang; Ke Li; Zhipeng Chang; Xuejiao Liu; Yunqing Huang; Xueshuang Xiang (CoRR, 2025)

A Source Transfer Domain Decomposition Method for Time-Harmonic Maxwell's Equations. - Tao Cui; Ziming Wang; Xueshuang Xiang (J. Sci. Comput., 2025)