Yige Yuan
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Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective
Y Yuan, B Xu, H Shen, Q Cao, K Cen, W Zheng, X Cheng
Neural Networks (NN) 2024, 2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
L Hou, Q Cao, Y Yuan, S Zhao, C Ma, S Pan, P Wan, Z Wang, H Shen, ...
Conference on Neural Information Processing Systems (NeurIPS 2023), 2022
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
Y Yuan, B Xu, B Lin, L Hou, F Sun, H Shen, X Cheng
Annual AAAI Conference on Artificial Intelligence (AAAI 2024), 2023
TEA: Test-time Energy Adaptation
Y Yuan, B Xu, L Hou, F Sun, H Shen, X Cheng
IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR 2024), 2023
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network
Y Li, B Xu, Q Cao, Y Yuan, H Shen
arXiv preprint arXiv:2211.09813, 2022
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