activity
20142025
most citedCompeting for Attention in Social Media under Information Overload Conditions

131 citations · 276 across the 9 of their papers we have counts for

collaborators

9 papers

math.OC2025

Prioritizing Recurrent Services

Lin Franklin Feng, Yue Hu, Xu Kuang

We study optimal scheduling in multi-class queueing systems with reentrance, where jobs may return for additional service after completion. Such reentrance creates feedback loops t…

cs.LG2021★ 4 cited

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…

physics.soc-ph2021

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…

physics.soc-ph2020★ 2 cited

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…

cs.LG2019★ 3 cited

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…

physics.soc-ph2016★ 25 cited

Non-trivial Resource Amount Requirement in the Early Stage for Containing Fatal Diseases

Xiaolong Chen, Tianshou Zhou, Ling Feng +4

During an epidemic control, the containment of the disease is usually achieved through increasing devoted resource to shorten the duration of infectiousness. However, the impact of…

physics.soc-ph2015★ 110 cited

Local structure can identify and quantify influential global spreaders in large scale social networks

Yanqing Hu, Shenggong Ji, Yuliang Jin +3

Measuring and optimizing the influence of nodes in big-data online social networks are important for many practical applications, such as the viral marketing and the adoption of ne…

physics.soc-ph2015★ 1 cited

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…

physics.soc-ph2014★ 131 cited

Competing for Attention in Social Media under Information Overload Conditions

Ling Feng, Yanqing Hu, Baowen Li +3

Although the many forms of modern social media have become major channels for the dissemination of information, they are becoming overloaded because of the rapidly-expanding number…