Xiaoping Zhou
Shanghai Normal University
9 Papers
5 Citations
Xiaoping Zhou is an academic researcher from Shanghai Normal University. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 2, co-authored 3 publications.
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Papers
A Robust Vehicle Detection Scheme for Intelligent Traffic Surveillance Systems in Smart Cities
TL;DR: A robust real-time vehicle detection method that combines background subtraction model MOG2 with a modified SqueezeNet model (H-Squeeze net) to create scale-insensitive Region of Interest (RoIs) from video frames is proposed.
A Manifold Learning Two-Tier Beamforming Scheme Optimizes Resource Management in Massive MIMO Networks
TL;DR: A manifold learning two-tier beamforming (MLTB) scheme is proposed to enable efficient and low-complexity operation in large scale dimensional MIMO systems and can obtain near-optimal sum-rate and considerably higher energy efficiency than the conventional schemes.
TSFE-Net: Two-Stream Feature Extraction Networks for Active Stereo Matching
TL;DR: Li et al. as discussed by the authors proposed TSFE-Net, two stream feature extraction networks for active stereo matching, which can solve illumination effects between speckle intensity and distance but also reserve details of the original image.
Manifold Learning Inspired Dynamic Hybrid Precoding With Antenna Partitioning Algorithm for Dual-Hop Hybrid FSO-RF Systems
TL;DR: In this paper , the authors proposed a hybrid precoding based on manifold learning with the antenna partitioning algorithm for dual-hop hybrid free-space optical-radio frequency (FSO-RF) systems.
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Attention-deep reinforcement learning jointly beamforming based on tensor decomposition for RIS-assisted V2X mmWave massive MIMO system
Xiaoping Zhou,Le Tong,Yang Wang +2 more
- 17 Jul 2023
TL;DR: This work proposes an attention-deep reinforcement learning jointly beamforming based on tensor decomposition for RIS-assisted mmWave massive MIMO system to improving the safety and traffic efficiency of cooperative automated driving.
2