37 citations · 67 across the 16 of their papers we have counts for
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cs.LG2020★ 9 cited
Neural Architecture Optimization with Graph VAE
Jian Li, Yong Liu, Jiankun Liu +1
Due to their high computational efficiency on a continuous space, gradient optimization methods have shown great potential in the neural architecture search (NAS) domain. The mappi…
cs.LG2020★ 1 cited
Convolutional Spectral Kernel Learning
Jian Li, Yong Liu, Weiping Wang
Recently, non-stationary spectral kernels have drawn much attention, owing to its powerful feature representation ability in revealing long-range correlations and input-dependent c…
cs.LG2020
Data Heterogeneity Differential Privacy: From Theory to Algorithm
Yilin Kang, Jian Li, Yong Liu +1
Traditionally, the random noise is equally injected when training with different data instances in the field of differential privacy (DP). In this paper, we first give sharper exce…