activity
20102024
most citedRobustness of a Network of Networks

715 citations · 2.4k across the 28 of their papers we have counts for

collaborators

28 papers

quant-ph2024★ 15 cited

Unveiling the Importance of Nonshortest Paths in Quantum Networks

Xinqi Hu, Gaogao Dong, Kim Christensen +7

Quantum networks (QNs) exhibit stronger connectivity than predicted by classical percolation, yet the origin of this phenomenon remains unexplored. We apply a statistical physics m…

physics.soc-ph2023★ 1 cited

Generalized dimension reduction approach for heterogeneous networked systems with time-delay

Cheng Ma, Gyorgy Korniss, Boleslaw K. Szymanski +1

Networks of interconnected agents are essential to study complex networked systems' state evolution, stability, resilience, and control. Nevertheless, the high dimensionality and n…

eess.SY2022

Bullwhip Effect of Supply Networks: Joint Impact of Network Structure and Market Demand

Jin-Zhu Yü, Chencheng Cai, Jianxi Gao

The progressive amplification of fluctuations in demand as the demand travels upstream the supply chains is known as the bullwhip effect. We first analytically characterize the bul…

cs.SI2022★ 4 cited

Reconstructing Sparse Multiplex Networks with Application to Covert Networks

Jin-Zhu Yu, Mincheng Wu, Gisela Bichler +2

Network structure provides critical information for understanding the dynamic behavior of networks. However, the complete structure of real-world networks is often unavailable, thu…

cs.LG2022

Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics

Chunheng Jiang, Tejaswini Pedapati, Pin-Yu Chen +2

Efficient model selection for identifying a suitable pre-trained neural network to a downstream task is a fundamental yet challenging task in deep learning. Current practice requir…

cs.LG2021

Network Graph Based Neural Architecture Search

Zhenhan Huang, Chunheng Jiang, Pin-Yu Chen +1

Neural architecture search enables automation of architecture design. Despite its success, it is computationally costly and does not provide an insight on how to design a desirable…