Xianghao Kong

ORCID: 0009-0000-5436-6735
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Infrared Target Detection Methodologies
  • Advanced MIMO Systems Optimization
  • EEG and Brain-Computer Interfaces
  • Millimeter-Wave Propagation and Modeling
  • Functional Brain Connectivity Studies
  • Power System Optimization and Stability
  • Power Transformer Diagnostics and Insulation
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Advanced SAR Imaging Techniques
  • Advanced Image Processing Techniques
  • Antenna Design and Analysis
  • Neonatal and fetal brain pathology
  • Advanced Image Fusion Techniques
  • Advanced Vision and Imaging
  • Advanced Measurement and Detection Methods
  • Image Enhancement Techniques
  • Power Quality and Harmonics

China Academy of Space Technology
2017-2024

Beijing University of Posts and Telecommunications
2024

University of California, Riverside
2020-2023

In this letter, the application of super-resolution (SR) techniques to GaoFen(GF)-4, which is most advanced geostationary-orbit earth observing satellite in China, remote sensing images investigated and tested. One shortcomings geostationary-orbit-based limitation spatial resolution. However, human beings never stop pursuing higher resolution images. This first experiment applying SR a sequence low-resolution (LR) captured by GF-4 within short time period. barriers for large gaps between...

10.1109/lgrs.2017.2768331 article EN IEEE Geoscience and Remote Sensing Letters 2017-12-12

Brainprint is a new type of biometric in the form EEG, directly linking to intrinsic identity. Currently, most methods for brainprint recognition are based on traditional machine learning and only focus single brain cognition task. Due ability extract high-level features latent dependencies, deep can effectively overcome limitation specific tasks, but numerous samples required model training. Therefore, realistic scenes with multiple individuals small amounts each class challenging learning....

10.1109/tnsre.2020.3035786 article EN cc-by IEEE Transactions on Neural Systems and Rehabilitation Engineering 2020-11-04

In this paper, we investigate an anti-jamming hybrid beamforming (HBF) design in millimeter-wave (mmWave) massive MIMO systems for reliable wireless communications. Different from the conventional schemes designed by assuming perfect channel state information (CSI) of both communication channels and jamming channels. We aim to HBF scheme minimizing dispersion output signals statistics without knowledge information. Two partially-connected architectures are considered. Specifically, propose a...

10.1109/twc.2024.3359286 article EN IEEE Transactions on Wireless Communications 2024-08-01

10.1109/icicml63543.2024.10957809 article EN 2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML) 2024-11-22

GAOFEN-4 is a high-resolution optical remote sensing satellite on geosynchronous orbit, which has been found the potential to monitor moving ships sea. Some classic target detection algorithms are studied. A new algorithm proposed for sequence images of satellite, can effectively suppress interference noise by performing defogging dark channel prior and with visual background extractor. experiments executed real images. It shows that better than

10.1117/12.2580045 article EN 2020-11-05

This paper develops an accurate and computationally efficient data-driven algorithm to detect voltage events using streaming PMU data. We find that real-world phasor measurement unit (PMU) data matrices exhibit a unique row-sparse structure when the low-rank component is stripped away during system events. An innovative Proximal Bilateral Random Projections (P-BRP) developed decompose matrix into event-pattern matrix. These matrices' useful features are fed clustering separate from normal...

10.1109/pesgm52003.2023.10253398 article EN 2021 IEEE Power & Energy Society General Meeting (PESGM) 2023-07-16
Coming Soon ...