4 citations · 7 across the 4 of their papers we have counts for
5 papers
Edge of chaos as a guiding principle for modern neural network training
Lin Zhang, Ling Feng, Kan Chen +1
The success of deep neural networks in real-world problems has prompted many attempts to explain their training dynamics and generalization performance, but more guiding principles…
Identify Hidden Spreaders of Pandemic over Contact Tracing Networks
Shuhong Huang, Jiachen Sun, Ling Feng +3
The COVID-19 infection cases have surged globally, causing devastations to both the society and economy. A key factor contributing to the sustained spreading is the presence of a l…
Induced Percolation on Networked Systems
Jiarong Xie, Xiangrong Wang, Ling Feng +3
Percolation theory has been widely used to study phase transitions in complex networked systems. It has also successfully explained several macroscopic phenomena across different f…
Optimal Machine Intelligence at the Edge of Chaos
Ling Feng, Lin Zhang, Choy Heng Lai
It has long been suggested that the biological brain operates at some critical point between two different phases, possibly order and chaos. Despite many indirect empirical evidenc…
A Simplified Self-Consistent Probabilities Framework to Characterize Percolation Phenomena on Interdependent Networks : An Overview
Ling Feng, Christopher Pineda Monterola, Yanqing Hu
Interdependent networks are ubiquitous in our society, ranging from infrastructure to economics, and the study of their cascading behaviors using percolation theory has attracted m…