activity
20242026
most citedExploiting Chaotic Dynamics as Deep Neural Networks

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

hep-ph2026

Sideband Structure of Axion Electrodynamics

Run-Min Yao, Xiao-Jun Bi, Peng-Fei Yin +1

We develop a Floquet--Bloch sideband formulation of the linearized Maxwell--axion system in a coherent periodic axion background. Linearizing around prescribed magnetic and axion f…

hep-ph2026

Resonant photon-axion conversion driven by axion dark matter oscillations

Run-Min Yao, Xiao-Jun Bi, Peng-Fei Yin +1

Wave propagation in periodically time-dependent media can exhibit driven mode conversion that is absent in static or adiabatic descriptions. We show that coherent axion dark matter…

eess.SY2025

MARS: Defending Unmanned Aerial Vehicles From Attacks on Inertial Sensors with Model-based Anomaly Detection and Recovery

Haocheng Meng, Shaocheng Luo, Zhenyuan Liang +3

Unmanned Aerial Vehicles (UAVs) rely on measurements from Inertial Measurement Units (IMUs) to maintain stable flight. However, IMUs are susceptible to physical attacks, including…

hep-ph2025

Axion-like Dark Matter Search with Space-based Gravitational Wave Detectors

Run-Min Yao, Xiao-Jun Bi, Peng-Fei Yin +1

We propose a novel modification to the optical benches of space-based gravitational wave detectors (SGWDs) to enable the detection of axion-like dark matter (ALDM)-induced birefrin…

cs.NE2024★ 1 cited

Exploiting Chaotic Dynamics as Deep Neural Networks

Shuhong Liu, Nozomi Akashi, Qingyao Huang +2

Chaos presents complex dynamics arising from nonlinearity and a sensitivity to initial states. These characteristics suggest a depth of expressivity that underscores their potentia…