Mingxuan Li

An Automatic Modulation Recognition Method with Low Parameter Estimation Dependence Based on Spatial Transformer Networks

2019 · Applied Sciences

Recently, automatic modulation recognition has been an important research topic in wireless communication. Due to the application of deep learning, it is prospective of using convolution neural networks on raw in-phase and quadrature signals in …

Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense

2020

While having achieved great success in rich real-life applications, deep neural network (DNN) models have long been criticized for their vulnerability to adversarial attacks. Tremendous research efforts have been dedicated to mitigating the threats of …

AI Chip-based Intelligent Behavior Analysis and Anomaly Detection System for Power Logistics

2025

The intelligent evolution of power systems demands higher safety and efficiency in power logistics, where traditional surveillance exhibits delayed responses and limited analytical capabilities. This paper proposes a behavior analysis and anomaly detection scheme using …