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Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks



Shuhao Shi , Jian Chen , Kai Qiao , Shuai Yang , Linyuan Wang , Bin Yan

* 25 pages, 7 figures. Submitted to neucom 

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RPT++: Customized Feature Representation for Siamese Visual Tracking



Ziang Ma , Haitao Zhang , Linyuan Wang , Jun Yin


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Adaptive Multi-layer Contrastive Graph Neural Networks



Shuhao Shi , Pengfei Xie , Xu Luo , Kai Qiao , Linyuan Wang , Jian Chen , Bin Yan

* 16 pages,7 figures 

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Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout



Pengfei Xie , Linyuan Wang , Ruoxi Qin , Kai Qiao , Shuhao Shi , Guoen Hu , Bin Yan


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Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model



Ruoxi Qin , Linyuan Wang , Xingyuan Chen , Xuehui Du , Bin Yan

* 17 pages,8 figures 

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RPT: Learning Point Set Representation for Siamese Visual Tracking



Ziang Ma , Linyuan Wang , Haitao Zhang , Wei Lu , Jun Yin

* Accepted to ECCV2020 Workshop 

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Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features



Kai Qiao , Chi Zhang , Jian Chen , Linyuan Wang , Li Tong , Bin Yan


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BigGAN-based Bayesian reconstruction of natural images from human brain activity



Kai Qiao , Jian Chen , Linyuan Wang , Chi Zhang , Li Tong , Bin Yan

* brain decoding; visual reconstruction; generative adversarial network (GAN); Bayesian framework. under review in Neuroscience of Elsevier 

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