Hao Huang

Orcid: 0000-0002-6729-1987

Affiliations:
  • Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, Nanjing, China


According to our database1, Hao Huang authored at least 27 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Online Trajectory Optimization for Energy-Efficient Cellular-Connected UAVs With Map Reconstruction.
IEEE Trans. Veh. Technol., March, 2024

Air Reconfigurable Intelligent Surface Enhanced Multiuser NOMA System.
IEEE Internet Things J., January, 2024

2023
Regularization Strategy Aided Robust Unsupervised Learning for Wireless Resource Allocation.
IEEE Trans. Veh. Technol., July, 2023

Deep Regularized Waveform Learning for Beam Prediction With Limited Samples in Non-Cooperative mmWave Systems.
IEEE Trans. Veh. Technol., July, 2023

Energy efficient power allocation for ultra-reliable and low-latency communications via unsupervised learning.
IET Commun., June, 2023

Deep Reinforcement Learning Aided Online Trajectory Optimization of Cellular-Connected UAVs with Offline Map Reconstruction.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

An Analysis of Spatial Correlation in RIS-Assisted Wireless Networks.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2023

Hierarchical Transmission of Low Bit Rate Local Data Using Reconfigurable Intelligent Surfaces.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Unsupervised Learning-Inspired Power Control Methods for Energy-Efficient Wireless Networks Over Fading Channels.
IEEE Trans. Wirel. Commun., 2022

Unsupervised Learning for Energy Efficient Power Allocation in Ultra-Reliable and Low-Latency Communications.
Proceedings of the 96th Vehicular Technology Conference, 2022

Joint Placement and Passive Beamforming Design for Aerial Reconfigurable Intelligent Surface Enhanced NOMA Systems.
Proceedings of the 96th Vehicular Technology Conference, 2022

An Analysis of the Power Imbalance on the Uplink of Power-Domain NOMA.
Proceedings of the 96th Vehicular Technology Conference, 2022

Analysis of the Power Imbalance in Power-Domain NOMA on Correlated Rayleigh Fading Channels.
Proceedings of the IEEE Latin-American Conference on Communications, 2022

2021
Fast Beamforming Design Method for IRS-Aided mmWave MISO Systems.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Weighted-Beam Superposition for mmWave Massive MIMO-NOMA Systems.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Analysis and Compensation of Spatial Correlation in Data Transmission Using RIS.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Fast Beamforming Design via Deep Learning.
IEEE Trans. Veh. Technol., 2020

Deep Learning-Based Automatic Modulation Recognition Method in the Presence of Phase Offset.
IEEE Access, 2020

Deep Learning Method for Generalized Modulation Classification under Varying Noise Condition.
Proceedings of the International Conference on Computing, Networking and Communications, 2020

2019
Channel Fading Effect Analysis on Diffusion Cooperation Strategies over Adaptive Networks.
KSII Trans. Internet Inf. Syst., 2019

CNN-based Skip-Gram Method for Improving Classification Accuracy of Chinese Text.
KSII Trans. Internet Inf. Syst., 2019

Deep Learning Based Exploring Channel Reciprocity Method in FDD Systems.
Proceedings of the Communications, Signal Processing, and Systems, 2019

2018
Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System.
IEEE Trans. Veh. Technol., 2018

Robust Adaptive Beamforming Signal Techniques for Drone Surveillance.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

A Chatbot Design Method Using Combined Model for Business Promotion.
Proceedings of the Communications, Signal Processing, and Systems, 2018

Deep Learning for Optical Character Recognition and Its Application to VAT Invoice Recognition.
Proceedings of the Communications, Signal Processing, and Systems, 2018

A QA System Based on Bidirectional LSTM with Text Similarity Calculation Model.
Proceedings of the Advanced Hybrid Information Processing, 2018


  Loading...