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2020 – today
- 2023
[j93]Jiawen Li
, Kun Fang, Xiaolin Huang, Jie Yang:
Improving adversarial robustness through a curriculum-guided reliable distillation. Comput. Secur. 133: 103411 (2023)- [j92]Changhe Zhang, Yangan Li, Zidong Yu, Xiaolin Huang, Jiang Xu, Chao Deng:
An end-to-end lower limb activity recognition framework based on sEMG data augmentation and enhanced CapsNet. Expert Syst. Appl. 227: 120257 (2023) - [j91]Xuekui Zhang, Xiaolin Huang, Li Xing:
ADSP: An adaptive sample pooling strategy for diagnostic testing. J. Biomed. Informatics 146: 104501 (2023) - [j90]Lei Tan, Shutong Wu, Wenxing Zhou, Xiaolin Huang:
Weighted neural tangent kernel: a generalized and improved network-induced kernel. Mach. Learn. 112(8): 2871-2901 (2023) - [j89]Tao Li, Lei Tan, Zhehao Huang, Qinghua Tao, Yipeng Liu, Xiaolin Huang:
Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3411-3420 (2023) - [j88]Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens:
Learning With Asymmetric Kernels: Least Squares and Feature Interpretation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10044-10054 (2023) - [j87]Kun Fang, Fanghui Liu, Xiaolin Huang, Jie Yang:
End-to-end kernel learning via generative random Fourier features. Pattern Recognit. 134: 109057 (2023) - [j86]Kaijie Wang, Fan He, Mingzhen He, Xiaolin Huang:
Learning non-parametric kernel via matrix decomposition for logistic regression. Pattern Recognit. Lett. 171: 177-183 (2023) - [j85]Juanjuan Sun, Xueliang Wang, Songfeng Guo, Haiyang Liu, Yu Zou, Xianglong Yao, Xiaolin Huang, Shengwen Qi:
Potential Rockfall Source Identification and Hazard Assessment in High Mountains (Maoyaba Basin) of the Tibetan Plateau. Remote. Sens. 15(13): 3273 (2023) - [c68]Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang:
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. CVPR Workshops 2023: 2314-2321 - [c67]Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang:
Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm. ICASSP 2023: 1-5 - [c66]Guanghui Wang, Xiaolin Huang, Xueyuan Zhang, Geyuan Liu, Fang Zuo:
Design and Analysis of Secure Localization Against Vulnerability-Induced Attack for Internet of Things. ICCC Workshops 2023: 1-6 - [c65]Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang:
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. ICLR 2023 - [c64]Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang:
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions. ICLR 2023 - [c63]Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang:
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks. ICLR 2023 - [c62]Tianyao Wang, Fan He, Ruikai Yang, Zhixing Ye, Xiaolin Huang:
Consensus-Based Distributed Kernel One-class Support Vector Machine for Anomaly Detection. IJCNN 2023: 1-8 - [c61]Zhixing Ye, Xinwen Cheng, Xiaolin Huang:
FG-UAP: Feature-Gathering Universal Adversarial Perturbation. IJCNN 2023: 1-8 - [c60]Jiquan Zhong, Xiaolin Huang, Xiao Yu:
Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes. ACM Multimedia 2023: 2553-2563 - [c59]Weiyu Sun, Xinyu Zhang, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen:
Resolve Domain Conflicts for Generalizable Remote Physiological Measurement. ACM Multimedia 2023: 8214-8224 - [i73]Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang:
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. CoRR abs/2302.11963 (2023) - [i72]Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou:
PCR-CG: Point Cloud Registration via Deep Color and Geometry. CoRR abs/2302.14418 (2023) - [i71]Jiquan Zhong, Xiaolin Huang, Xiao Yu:
Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes. CoRR abs/2303.14628 (2023) - [i70]Yu Chen, Chao Shang, Xiaolin Huang, Xiang Yin:
Data-Driven Safe Controller Synthesis for Deterministic Systems: A Posteriori Method With Validation Tests. CoRR abs/2304.00729 (2023) - [i69]Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Xiaolin Huang, Johan A. K. Suykens:
Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs. CoRR abs/2308.16056 (2023) - [i68]Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens:
Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels. CoRR abs/2310.05236 (2023) - [i67]Kun Fang, Qinghua Tao, Xiaolin Huang, Jie Yang:
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective. CoRR abs/2310.14227 (2023) - [i66]Yingwen Wu, Tao Li, Xinwen Cheng, Jie Yang, Xiaolin Huang:
Low-Dimensional Gradient Helps Out-of-Distribution Detection. CoRR abs/2310.17163 (2023) - [i65]Xinyu Zhang, Weiyu Sun, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen:
Self-similarity Prior Distillation for Unsupervised Remote Physiological Measurement. CoRR abs/2311.05100 (2023) - [i64]Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang:
Online Continual Learning via Logit Adjusted Softmax. CoRR abs/2311.06460 (2023) - 2022
- [j84]Tianyi Zhang, Yun Gu, Xiaolin Huang, Jie Yang, Guang-Zhong Yang:
Disparity-constrained stereo endoscopic image super-resolution. Int. J. Comput. Assist. Radiol. Surg. 17(5): 867-875 (2022) - [j83]Yujia Mi, Aijing Lin, Danlei Gu, Xiyun Zhang, Xiaolin Huang:
Bubble transfer spectral entropy and its application in epilepsy EEG analysis. Commun. Nonlinear Sci. Numer. Simul. 110: 106294 (2022) - [j82]Sijing Chen, Zhanbin Wang, Yongqiang Li, Jiashuai Tang, Xue Wang, Liping Huang, Zhuangwei Fang, Tao Xu, Jiang Xu, Feng Guo, Yizhao Wang, Jianjun Long, Xiaodong Wang, Fang Liu, Jianfeng Luo, Yulong Wang, Xiaolin Huang, Zishan Jia, Mei Shuai, Jianan Li:
Safety and Feasibility of a Novel Exoskeleton for Locomotor Rehabilitation of Subjects With Spinal Cord Injury: A Prospective, Multi-Center, and Cross-Over Clinical Trial. Frontiers Neurorobotics 16: 848443 (2022) - [j81]Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang:
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2188-2197 (2022) - [j80]Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng:
A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6631-6648 (2022) - [j79]Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens:
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7128-7148 (2022) - [j78]Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens:
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7975-7988 (2022) - [j77]Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang:
Relevance attack on detectors. Pattern Recognit. 124: 108491 (2022) - [j76]Jingzheng Tu, Cailian Chen, Xiaolin Huang, Jianping He, Xinping Guan:
DFR-ST: Discriminative feature representation with spatio-temporal cues for vehicle re-identification. Pattern Recognit. 131: 108887 (2022) - [j75]Ke Wang, Xiaolin Huang, Shuang Hu, Hongwei Wang, Mingxuan Zhao, Jian Zhou:
Multivariate uncertain risk aversion with application to accounts receivables pricing. Soft Comput. 26(18): 9465-9480 (2022) - [j74]Wei Xu, Xinyuan Chen, Haoming Guo, Xiaolin Huang, Wei Liu:
Unsupervised Image Restoration With Quality-Task-Perception Loss. IEEE Trans. Circuits Syst. Video Technol. 32(9): 5736-5747 (2022) - [j73]Tingman Yan, Xiaolin Huang, Qunfei Zhao:
Hierarchical Superpixel Segmentation by Parallel CRTrees Labeling. IEEE Trans. Image Process. 31: 4719-4732 (2022) - [j72]Zhangjing Yang, Weiwu Yan, Xiaolin Huang, Lin Mei:
Adaptive Temporal-Frequency Network for Time-Series Forecasting. IEEE Trans. Knowl. Data Eng. 34(4): 1576-1587 (2022) - [j71]Yun Gu, Yunze Xu, Xiaolin Huang, Jie Yang, Wei Xue, Guang-Zhong Yang:
Toward Robust Histology-Prior Embedding for Endomicroscopy Image Classification. IEEE Trans. Medical Imaging 41(11): 3242-3252 (2022) - [c58]Shuai You, Xiaolin Huang, Li Xing, Youlian Pan, Xuekui Zhang:
Handling Sparse Longitudinal Data with Irregular Missing Data - Analysis of Fecal Coliform Bacteria Data. CIBCB 2022: 1-6 - [c57]Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang:
Subspace Adversarial Training. CVPR 2022: 13399-13408 - [c56]Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou:
PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry. ECCV (10) 2022: 443-459 - [c55]Kexin Lv, Zheng Sun, Fan He, Xiaolin Huang, Jie Yang:
One-shot Distributed Algorithm for Generalized Eigenvalue Problem. ICCAI 2022: 104-109 - [c54]Mingzhe Li, Sizhe Chen, Xiaolin Huang:
Mutual Diverse-Label Adversarial Training. ICONIP (1) 2022: 64-75 - [c53]Leyu Yao, Fan He, Xiaofeng Wang, Lu Zhou, Haixia Peng, Xiaolin Huang:
Scheme And Dataset for Evaluating Computer-Aided Polyp Detection System in Colonoscopy. ISBI 2022: 1-5 - [c52]Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang:
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. NeurIPS 2022 - [p1]Zifei Wang, Xiaolin Huang, Jie Yang, Nikola K. Kasabov:
Universal Adversarial Perturbation Generated by Using Attention Information. Advances in Intelligent Systems Research and Innovation 2022: 21-39 - [i63]Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens:
Learning with Asymmetric Kernels: Least Squares and Feature Interpretation. CoRR abs/2202.01397 (2022) - [i62]Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang:
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. CoRR abs/2205.12134 (2022) - [i61]Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang:
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks. CoRR abs/2205.12141 (2022) - [i60]Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang:
Trainable Weight Averaging for Fast Convergence and Better Generalization. CoRR abs/2205.13104 (2022) - [i59]Qinghua Tao, Li Li, Xiaolin Huang, Xiangming Xi, Shuning Wang, Johan A. K. Suykens:
Piecewise Linear Neural Networks and Deep Learning. CoRR abs/2206.09149 (2022) - [i58]Weiyu Sun, Xinyu Zhang, Ying Chen, Yun Ge, Chunyu Ji, Xiaolin Huang:
WPPG Net: A Non-contact Video Based Heart Rate Extraction Network Framework with Compatible Training Capability. CoRR abs/2207.01697 (2022) - [i57]Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang:
Unifying Gradients to Improve Real-world Robustness for Deep Networks. CoRR abs/2208.06228 (2022) - [i56]Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang:
Random Fourier Features for Asymmetric Kernels. CoRR abs/2209.08461 (2022) - [i55]Zhixing Ye, Xinwen Cheng, Xiaolin Huang:
FG-UAP: Feature-Gathering Universal Adversarial Perturbation. CoRR abs/2209.13113 (2022) - [i54]Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang:
On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness. CoRR abs/2211.10882 (2022) - [i53]Tao Li, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Ming Yang, Xiaolin Huang:
Efficient Generalization Improvement Guided by Random Weight Perturbation. CoRR abs/2211.11489 (2022) - [i52]Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang:
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. CoRR abs/2211.12005 (2022) - [i51]Fan He, Ruikai Yang, Lei Shi, Xiaolin Huang:
A Decentralized Framework for Kernel PCA with Projection Consensus Constraints. CoRR abs/2211.15953 (2022) - 2021
- [j70]Qiang Yu, Cheng Wang, Jing Xi, Ying Chen, Weifeng Li, Yun Ge, Xiaolin Huang:
Intensive Care Unit False Alarm Identification Based on Convolution Neural Network. IEEE Access 9: 81841-81854 (2021) - [j69]Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens:
Generalization Properties of hyper-RKHS and its Applications. J. Mach. Learn. Res. 22: 140:1-140:38 (2021) - [j68]Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens:
Analysis of regularized least-squares in reproducing kernel Kreĭn spaces. Mach. Learn. 110(6): 1145-1173 (2021) - [j67]Sanli Tang, Xiaolin Huang, Mingjian Chen, Chengjin Sun, Jie Yang:
Adversarial Attack Type I: Cheat Classifiers by Significant Changes. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 1100-1109 (2021) - [j66]Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang:
Mixed-precision quantized neural networks with progressively decreasing bitwidth. Pattern Recognit. 111: 107647 (2021) - [j65]Fan He, Kexin Lv, Jie Yang, Xiaolin Huang:
One-Shot Distributed Algorithm for PCA With RBF Kernels. IEEE Signal Process. Lett. 28: 1465-1469 (2021) - [j64]Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang:
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. IEEE Trans. Medical Imaging 40(6): 1603-1617 (2021) - [c51]Fanghui Liu, Xiaolin Huang, Yingyi Chen, Johan A. K. Suykens:
Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures. AISTATS 2021: 388-396 - [c50]Jintian Xu, Chengjin Sun, Yixing Huang, Xiaolin Huang:
Residual Neural Network for Filter Kernel Design in Filtered Back-projection for CT Image Reconstruction. Bildverarbeitung für die Medizin 2021: 164-169 - [c49]Tao Peng, Xiaolin Huang, Chao Yang, Zhiwen Chen, Qiang Liu, Xinyu Fan:
Temperature Control-based FCS-MPC of Traction Converters*. CAA SAFEPROCESS 2021: 1-6 - [c48]Qi Xu, Yinan Ma, Jing Wu, Chengnian Long, Xiaolin Huang:
CDAda: A Curriculum Domain Adaptation for Nighttime Semantic Segmentation. ICCVW 2021: 2962-2971 - [c47]Tianshu Chu, Zuopeng Yang, Jie Yang, Xiaolin Huang:
Improving The Robustness Of Convolutional Neural Networks Via Sketch Attention. ICIP 2021: 869-873 - [c46]Yizhang Huang, Kun Fang, Xiaolin Huang, Jie Yang:
ADVMIX: Data Augmentation for Accurate Scene Text Spotting. ICIP 2021: 954-958 - [c45]Jing Huang, Xiaolin Huang, Jie Yang:
Residual Enhanced Multi-Hypergraph Neural Network. ICIP 2021: 3657-3661 - [c44]Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang:
Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels. IJCNN 2021: 1-8 - [c43]Chunyu Dong, Qunfei Zhao, Kun Chen, Xiaolin Huang:
Asymmetric Attention Upsampling: Rethinking Upsampling For Biological Image Segmentation. ISBI 2021: 645-649 - [c42]Fan He, Sizhe Chen, Shuaiyi Li, Lu Zhou, Haiqin Zhang, Haixia Peng, Xiaolin Huang:
Colonoscopic Image Synthesis For Polyp Detector Enhancement Via Gan And Adversarial Training. ISBI 2021: 1887-1891 - [i50]Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang:
Going Far Boosts Attack Transferability, but Do Not Do It. CoRR abs/2102.10343 (2021) - [i49]Tao Li, Lei Tan, Qinghua Tao, Yipeng Liu, Xiaolin Huang:
Train Deep Neural Networks in 40-D Subspaces. CoRR abs/2103.11154 (2021) - [i48]Lei Tan, Shutong Wu, Xiaolin Huang:
Weighted Neural Tangent Kernel: A Generalized and Improved Network-Induced Kernel. CoRR abs/2103.11558 (2021) - [i47]Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang:
Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels. CoRR abs/2104.06204 (2021) - [i46]Jing Huang, Xiaolin Huang, Jie Yang:
Residual Enhanced Multi-Hypergraph Neural Network. CoRR abs/2105.00490 (2021) - [i45]Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang:
QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities. CoRR abs/2105.15010 (2021) - [i44]Zhixing Ye, Shaofei Qin, Sizhe Chen, Xiaolin Huang:
Dominant Patterns: Critical Features Hidden in Deep Neural Networks. CoRR abs/2105.15057 (2021) - [i43]Tao Wang, Ruixin Zhang, Xingyu Chen, Kai Zhao, Xiaolin Huang, Yuge Huang, Shaoxin Li, Jilin Li, Feiyue Huang:
Adaptive Feature Alignment for Adversarial Training. CoRR abs/2105.15157 (2021) - [i42]Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng:
A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing. CoRR abs/2107.07058 (2021) - [i41]Hengling Zhao, Yipeng Liu, Xiaolin Huang, Ce Zhu:
Semi-tensor Product-based TensorDecomposition for Neural Network Compression. CoRR abs/2109.15200 (2021) - [i40]Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang:
Subspace Adversarial Training. CoRR abs/2111.12229 (2021) - 2020
- [j63]Qiyuan Wang, Zhongmin Wang, Yu Sun, Xin Zhang, Weifeng Li, Yun Ge, Xiaolin Huang, Yun Liu, Ying Chen:
SCCNN: A Diagnosis Method for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Based on Siamese Cross Contrast Neural Network. IEEE Access 8: 85271-85283 (2020) - [j62]He Jiang, Mujtaba Asad, Xiaolin Huang, Jie Yang:
Learning in-place residual homogeneity for single image detail enhancement. J. Electronic Imaging 29(4): 043016 (2020) - [j61]Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li:
Learning Data-adaptive Non-parametric Kernels. J. Mach. Learn. Res. 21: 208:1-208:39 (2020) - [j60]Wei Liu, Pingping Zhang, Xiaogang Chen, Chunhua Shen, Xiaolin Huang, Jie Yang:
Embedding Bilateral Filter in Least Squares for Efficient Edge-Preserving Image Smoothing. IEEE Trans. Circuits Syst. Video Technol. 30(1): 23-35 (2020) - [j59]Wei Xiao, Xiaolin Huang, Fan He, Jorge Silva, Saba Emrani, Arin Chaudhuri:
Online Robust Principal Component Analysis With Change Point Detection. IEEE Trans. Multim. 22(1): 59-68 (2020) - [j58]Chao Ma, Chen Gong, Xiang Li, Xiaolin Huang, Wei Liu, Jie Yang:
Toward Making Unsupervised Graph Hashing Discriminative. IEEE Trans. Multim. 22(3): 760-774 (2020) - [j57]Fanghui Liu, Xiaolin Huang, Lei Shi, Jie Yang, Johan A. K. Suykens:
A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2965-2979 (2020) - [j56]Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian Reid:
Real-time Image Smoothing via Iterative Least Squares. ACM Trans. Graph. 39(3): 28:1-28:24 (2020) - [c41]Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens:
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. AAAI 2020: 4844-4851 - [c40]Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Ian D. Reid:
A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. AAAI 2020: 11620-11628 - [c39]Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens:
Learning from partially labeled data. ESANN 2020: 493-502 - [c38]Fan He, Sanli Tang, Siamak Mehrkanoon, Xiaolin Huang, Jie Yang:
A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning. ESANN 2020: 527-532 - [c37]Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang:
Type I Attack For Generative Models. ICIP 2020: 593-597 - [c36]Jiehui Deng, Sheng Wan, Xiang Wang, Enmei Tu, Xiaolin Huang, Jie Yang, Chen Gong:
Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks. ICPR 2020: 9988-9995 - [c35]Zifei Wang, Xiaolin Huang, Jie Yang, Nikola K. Kasabov:
Universal Adversarial Perturbation Generated by Attacking Layer-wise Relevance Propagation. IEEE Conf. on Intelligent Systems 2020: 431-436 - [c34]Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Yue-Min Zhu:
Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation. MICCAI (1) 2020: 221-231 - [i39]Sizhe Chen, Zhengbao He, Chengjin Sun, Xiaolin Huang:
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. CoRR abs/2001.06325 (2020) - [i38]Sizhe Chen, Peidong Zhang, Chengjin Sun, Jia Cai, Xiaolin Huang:
Generate High-Resolution Adversarial Samples by Identifying Effective Features. CoRR abs/2001.07631 (2020) - [i37]