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A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing


Jul 28, 2021
Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng

* This work is accepted by TPAMI. The code is available at https://github.com/wliusjtu/Generalized-Smoothing-Framework. arXiv admin note: substantial text overlap with arXiv:1907.09642 

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Adaptive Feature Alignment for Adversarial Training


Jun 16, 2021
Tao Wang, Ruixin Zhang, Xingyu Chen, Kai Zhao, Xiaolin Huang, Yuge Huang, Shaoxin Li, Jilin Li, Feiyue Huang


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Dominant Patterns: Critical Features Hidden in Deep Neural Networks


May 31, 2021
Zhixing Ye, Shaofei Qin, Sizhe Chen, Xiaolin Huang


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QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities


May 31, 2021
Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang

* QueryNet reduces queries by about an order of magnitude against SOTA black-box attacks. 21 pages, 6 figures 

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Residual Enhanced Multi-Hypergraph Neural Network


May 02, 2021
Jing Huang, Xiaolin Huang, Jie Yang

* ICIP 2021 submitted 

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Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels


Apr 14, 2021
Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang

* Accepted by IJCNN2021 

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Towards Unbiased Random Features with LowerVariance For Stationary Indefinite Kernels


Apr 13, 2021
Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang

* Accepted by IJCNN2021 

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Weighted Neural Tangent Kernel: A Generalized and Improved Network-Induced Kernel


Mar 22, 2021
Lei Tan, Shutong Wu, Xiaolin Huang


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Train Deep Neural Networks in 40-D Subspaces


Mar 20, 2021
Tao Li, Lei Tan, Qinghua Tao, Yipeng Liu, Xiaolin Huang


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Going Far Boosts Attack Transferability, but Do Not Do It


Feb 20, 2021
Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang


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Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT


Dec 10, 2020
Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang

* 14 pages, submitted to IEEE TMI 

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Towards a Unified Quadrature Framework for Large-Scale Kernel Machines


Nov 03, 2020
Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens

* 27 pages, 9 figures 

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Learn Robust Features via Orthogonal Multi-Path


Oct 23, 2020
Kun Fang, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang


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One-shot Distributed Algorithm for Generalized Eigenvalue Problem


Oct 22, 2020
Kexin Lv, Fan He, Xiaolin Huang, Jie Yang, Liming Chen


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End-to-end Kernel Learning via Generative Random Fourier Features


Sep 10, 2020
Kun Fang, Xiaolin Huang, Fanghui Liu, Jie Yang


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Attack on Multi-Node Attention for Object Detection


Aug 16, 2020
Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang


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Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces


Jun 01, 2020
Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens


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Generalizing Random Fourier Features via Generalized Measures


May 30, 2020
Fanghui Liu, Xiaolin Huang, Yingyi Chen, Johan A. K. Suykens


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A Communication-Efficient Distributed Algorithm for Kernel Principal Component Analysis


May 06, 2020
Fan He, Xiaolin Huang, Kexin Lv, Jie Yang


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Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond


Apr 24, 2020
Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens

* The current version is not ready for public avaliable 

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Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach


Apr 23, 2020
Jia Cai, Kexin Lv, Junyi Huo, Xiaolin Huang, Jie Yang


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Adversarial Imitation Attack


Mar 31, 2020
Mingyi Zhou, Jing Wu, Yipeng Liu, Xiaolin Huang, Shuaicheng Liu, Xiang Zhang, Ce Zhu

* 8 pages 

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Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention


Mar 19, 2020
Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang

* 6 pages, 4 figures, accepted as a workshop paper at AI4AH, ICLR 2020 

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Double Backpropagation for Training Autoencoders against Adversarial Attack


Mar 04, 2020
Chengjin Sun, Sizhe Chen, Xiaolin Huang


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Type I Attack for Generative Models


Mar 04, 2020
Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang


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Generate High-Resolution Adversarial Samples by Identifying Effective Features


Jan 21, 2020
Sizhe Chen, Peidong Zhang, Chengjin Sun, Jia Cai, Xiaolin Huang


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Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet


Jan 16, 2020
Sizhe Chen, Zhengbao He, Chengjin Sun, Xiaolin Huang

* arXiv admin note: text overlap with arXiv:1912.07160 

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