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Class-Imbalanced Complementary-Label Learning via Weighted Loss


Sep 28, 2022
Meng Wei, Yong Zhou, Zhongnian Li, Xinzheng Xu

* 9 pages, 9 figures, 3 tables 

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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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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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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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SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction


Mar 05, 2019
Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang

* 9 pages,5 figures, Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI-19) 

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