output
20212025
most citedEvolution of cooperation and competition in multilayer networks

11 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

6 papers

physics.soc-ph2025

Higher-order network adaptivity: co-evolution of higher-order structure and spreading dynamics

Longzhao Liu, Hongwei Zheng, Zhihao Han +2

The co-evolution of structure and dynamics, known as adaptivity, is a fundamental property in various systems and drives diverse emergent behaviors. However, the adaptivity in prev…

physics.soc-ph2025★ 11 cited

Evolution of cooperation and competition in multilayer networks

Wenqiang Zhu, Xin Wang, Chaoqian Wang +5

Cooperation and competition coexist and coevolve in natural and social systems. Cooperation generates resources, which in turn, drive non-cooperative competition to secure individu…

eess.SP2025★ 2 cited

Potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony

Guandong Pan, Zhaobang Wu, Yaqian Yang +4

The need for automatic and high-quality emotion annotation is paramount in applications such as continuous emotion recognition and video highlight detection, yet achieving this thr…

cs.IT2024

Effective Application of Normalized Min-Sum Decoding for Short BCH Codes

Guangwen Li, Xiao Yu

This paper introduces an enhanced normalized min-sum decoder designed to address the performance and complexity challenges associated with developing parallelizable decoders for sh…

cs.IT2024★ 3 cited

Boosting Ordered Statistics Decoding of Short LDPC Codes with Simple Neural Network Models

Guangwen Li, Xiao Yu

Ordered statistics decoding has been instrumental in addressing decoding failures that persist after normalized min-sum decoding in short low-density parity-check codes. Despite it…

cs.LG2021

Personalized Semi-Supervised Federated Learning for Human Activity Recognition

Riccardo Presotto, Gabriele Civitarese, Claudio Bettini

One of the major open problems in sensor-based Human Activity Recognition (HAR) is the scarcity of labeled data. Among the many solutions to address this challenge, semi-supervised…