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Mengting Xu

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Analysis of Coding Gain Due to In-Loop Reshaping

Dec 07, 2023
Chau-Wai Wong, Chang-Hong Fu, Mengting Xu, Guan-Ming Su

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Complementary Labels Learning with Augmented Classes

Nov 19, 2022
Zhongnian Li, Jian Zhang, Mengting Xu, 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

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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

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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

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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

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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

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DISCO: Influence Maximization Meets Network Embedding and Deep Learning

Jun 18, 2019
Hui Li, Mengting Xu, Sourav S Bhowmick, Changsheng Sun, Zhongyuan Jiang, Jiangtao Cui

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