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Juanjuan Weng

Showing results (1-10 of 4) with videos related to

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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 28, 2026
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial TransferabilityJuanjuan Weng, Zhiming Luo, Shaozi Li
Neural Networks : the Official Journal of the International Neural Network Society|September 11, 2025
Mitigating low-frequency bias: Feature recalibration and frequency attention regularization for adversarial robustnessKejia Zhang, Juanjuan Weng, Yuanzheng Cai, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 5, 2025
ORAL: Adaptive Gap Increasing for Advantage Learning via Occam's Razor PrincipleZhe Zhang, Yongle Zhou, Yuyang Long, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 15, 2022
Towards Robust Person Re-Identification by Defending Against Universal AttackersFengxiang Yang, Juanjuan Weng, Zhun Zhong, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 28, 2026
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial TransferabilityJuanjuan Weng, Zhiming Luo, Shaozi Li
Neural Networks : the Official Journal of the International Neural Network Society|September 11, 2025
Mitigating low-frequency bias: Feature recalibration and frequency attention regularization for adversarial robustnessKejia Zhang, Juanjuan Weng, Yuanzheng Cai, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 5, 2025
ORAL: Adaptive Gap Increasing for Advantage Learning via Occam's Razor PrincipleZhe Zhang, Yongle Zhou, Yuyang Long, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 15, 2022
Towards Robust Person Re-Identification by Defending Against Universal AttackersFengxiang Yang, Juanjuan Weng, Zhun Zhong, et al.
Pageof 1