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Suorong Yang

Showing results (1-10 of 6) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|December 6, 2025
Dual prototypes for adaptive pre-trained model in class-incremental learningZhiming Xu, Suorong Yang, Baile Xu, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 30, 2025
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data AugmentationSuorong Yang, Peijia Li, Xin Xiong, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 22, 2025
IPF-RDA: An Information-Preserving Framework for Robust Data AugmentationSuorong Yang, Hongchao Yang, Suhan Guo, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 31, 2024
GMNI: Achieve good data augmentation in unsupervised graph contrastive learningXin Xiong, Xiangyu Wang, Suorong Yang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 4, 2025
CS-QCFS: Bridging the performance gap in ultra-low latency spiking neural networksHongchao Yang, Suorong Yang, Lingming Zhang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 8, 2025
Supervised contrastive learning with prototype distillation for data incremental learningSuorong Yang, Tianyue Zhang, Zhiming Xu, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|December 6, 2025
Dual prototypes for adaptive pre-trained model in class-incremental learningZhiming Xu, Suorong Yang, Baile Xu, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 30, 2025
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data AugmentationSuorong Yang, Peijia Li, Xin Xiong, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 22, 2025
IPF-RDA: An Information-Preserving Framework for Robust Data AugmentationSuorong Yang, Hongchao Yang, Suhan Guo, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 31, 2024
GMNI: Achieve good data augmentation in unsupervised graph contrastive learningXin Xiong, Xiangyu Wang, Suorong Yang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 4, 2025
CS-QCFS: Bridging the performance gap in ultra-low latency spiking neural networksHongchao Yang, Suorong Yang, Lingming Zhang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 8, 2025
Supervised contrastive learning with prototype distillation for data incremental learningSuorong Yang, Tianyue Zhang, Zhiming Xu, et al.
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