6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2024
MSD: A RG Flow-Based Regularization for GAN Training with Limited Data
Jian Wang, Xin Lan, Yuxin Tian +1
Generative adversarial networks (GANs) have made impressive advances in image generation, but they often require large-scale training data to avoid degradation caused by discrimina…
cs.SI2014
Modelling the Self-similarity in Complex Networks Based on Coulomb's Law
Haixin Zhang, Daijun Wei, Yong Hu +2
Recently, self-similarity of complex networks have attracted much attention. Fractal dimension of complex network is an open issue. Hub repulsion plays an important role in fractal…
physics.data-an2014★ 6 cited
The time series forecasting: from the aspect of network
S. Chen, X. Lan, Y. Hu +2
Forecasting can estimate the statement of events according to the historical data and it is considerably important in many disciplines. At present, time series models have been uti…