Zihang Song

Orcid: 0000-0001-9711-9785

According to our database1, Zihang Song authored at least 13 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks.
CoRR, 2024

2023
Numerical evaluation on sub-Nyquist spectrum reconstruction methods.
Frontiers Comput. Sci., December, 2023

Adversarial Autoencoder Empowered Joint Anomaly Detection and Signal Reconstruction From Sub-Nyquist Samples.
IEEE Trans. Cogn. Commun. Netw., June, 2023

Graph Learning for Multi-Satellite based Spectrum Sensing.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Prediction-Assisted Compressed Spectrum Sensing.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2022
Approaching Sub-Nyquist Boundary: Optimized Compressed Spectrum Sensing Based on Multicoset Sampler for Multiband Signal.
IEEE Trans. Signal Process., 2022

2021
Adaptive Compressed Spectrum Sensing for Multiband Signals.
IEEE Trans. Wirel. Commun., 2021

A Survey on Spectrum Sensing and Learning Technologies for 6G.
IEICE Trans. Commun., 2021

Sub-Nyquist spectrum sensing and learning challenge.
Frontiers Comput. Sci., 2021

2020
Cross Validation Based Adaptive Compressed Spectrum Sensing without Testing Set.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Real-time Multi-Gigahertz Sub-Nyquist Spectrum Sensing System for mmWave.
Proceedings of the 3rd ACM Workshop on Millimeter-wave Networks and Sensing Systems, 2019

2018
A High-Q AFM Sensor Using a Balanced Trolling Quartz Tuning Fork in the Liquid.
Sensors, 2018

2014
Device Performance Analysis of Cloud Computing Data Center Two-Layer Interconnection Model Based on MPLS/IP Core Backbone Network.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014


  Loading...