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IEEE Transactions on Pattern Analysis and Machine Intelligence|December 1, 2023
Knockoffs-SPR: Clean Sample Selection in Learning With Noisy LabelsYikai Wang, Yanwei Fu, Xinwei Sun
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 3, 2021
How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot LearningYikai Wang, Li Zhang, Yuan Yao, et al.
IEEE Journal of Biomedical and Health Informatics|July 1, 2026
Cross-subject fMRI-to-Image with Visual-cortex 2D Representation and Pre-TrainingXuelin Qian, Yun Wang, Yikai Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 21, 2022
PatchMix Augmentation to Identify Causal Features in Few-Shot LearningChengming Xu, Chen Liu, Xinwei Sun, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 22, 2022
Exploring Structural Sparsity of Deep Networks Via Inverse Scale SpacesYanwei Fu, Chen Liu, Donghao Li, et al.
Heliyon|July 8, 2024
Brain-machine interactive neuromodulation research tool with edge AI computingYan Li, Yingnan Nie, Zhaoyu Quan, et al.
Bioresource Technology|April 24, 2026
Investigation into the influence and mechanism of inflow characteristics on clogging matter in vertical flow constructed wetlandsXinwei Sun, Jianfeng Ye
Sensors (Basel, Switzerland)|November 25, 2023
RST: Rough Set Transformer for Point Cloud LearningXinwei Sun, Kai Zeng
The Annals of Applied Statistics|July 23, 2024
LOCUS: A REGULARIZED BLIND SOURCE SEPARATION METHOD WITH LOW-RANK STRUCTURE FOR INVESTIGATING BRAIN CONNECTIVITYYikai Wang, Ying Guo
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 13, 2022
Reinforcing Generated Images via Meta-Learning for One-Shot Fine-Grained Visual RecognitionSatoshi Tsutsui, Yanwei Fu, David Crandall
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