9 citations · 16 across the 11 of their papers we have counts for
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cs.LG2024
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning
Hansi Yang, James T. Kwok
Distributed learning, which does not require gathering training data in a central location, has become increasingly important in the big-data era. In particular, random-walk-based…
cs.LG2024
Mixup Augmentation with Multiple Interpolations
Lifeng Shen, Jincheng Yu, Hansi Yang +1
Mixup and its variants form a popular class of data augmentation techniques.Using a random sample pair, it generates a new sample by linear interpolation of the inputs and labels.…
cs.LG2024
Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks
Zhen Hao Wong, Hansi Yang, Xiaoyi Fu +1
Heterogeneous Graph Neural Networks (HGNNs) are a class of deep learning models designed specifically for heterogeneous graphs, which are graphs that contain different types of nod…