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Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain


Sep 05, 2022
Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu

* 13 pages, 7 figures 

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Learning from Positive and Unlabeled Data with Augmented Classes


Jul 27, 2022
Zhongnian Li, Liutao Yang, Zhongchen Ma, Tongfeng Sun, Xinzheng Xu, Daoqiang Zhang


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Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning


Jul 22, 2022
Samson B. Akintoye, Liangxiu Han, Huw Lloyd, Xin Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang


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InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle


Jun 23, 2022
Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang

* Published in: IEEE Transactions on Neural Networks and Learning Systems ( Early Access ) 

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Low-Dose CT Denoising via Sinogram Inner-Structure Transformer


Apr 18, 2022
Liutao Yang, Zhongnian Li, Rongjun Ge, Junyong Zhao, Haipeng Si, Daoqiang Zhang


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Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses


Jan 29, 2022
Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang

* TDSC under review 

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MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack


Nov 29, 2021
Mengting Xu, Tao Zhang, Daoqiang Zhang

* TMI under review 

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Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack


Mar 05, 2021
Mengting Xu, Tao Zhang, Zhongnian Li, Mingxia Liu, Daoqiang Zhang

* Medical Image Analysis 69 (2021): 101977 
* This version was accepted in the journal Medical Image Analysis (MedIA) 

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Improving the Certified Robustness of Neural Networks via Consistency Regularization


Jan 20, 2021
Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang

* 4 pages, appeare in AAAI21-RSEML 

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