Wen Li
Orcid: 0000-0002-6695-4988Affiliations:
- Army Engineering University of PLA, College of Communications Engineering, Nanjing, China
  According to our database1,
  Wen Li
  authored at least 24 papers
  between 2019 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
- 
    on orcid.org
On csauthors.net:
Bibliography
  2025
Achieving Hiding and Smart Anti-Jamming Communication: A Parallel DRL Approach Against Moving Reactive Jammer.
    
  
    IEEE Trans. Commun., September, 2025
    
  
Distributed Resource Management and Task Scheduling in MEC Networks Against Intelligent Eavesdropping Jammer.
    
  
    IEEE Trans. Commun., May, 2025
    
  
Achieving Hiding and Smart Anti-Jamming Communication: A Parallel DRL Approach against Moving Reactive Jammer.
    
  
    CoRR, February, 2025
    
  
Robust Spectrum Access Scheme Against Diverse Jamming Policies: A Prioritized Fictitious Rival-Play-Based Approach.
    
  
    IEEE Internet Things J., 2025
    
  
  2024
Efficient Dynamic Spectrum Anti-Jamming Access With Large Action Space: An Action Space Decomposition-Based Approach.
    
  
    IEEE Wirel. Commun. Lett., October, 2024
    
  
Opponent-Awareness-Based Anti-Intelligent Jamming Channel Access Scheme: A Deep Reinforcement Learning Perspective.
    
  
    IEEE Internet Things J., April, 2024
    
  
Co-channel interference cancellation based on BSS for multi-satellite MIMO communication systems with FFR.
    
  
    Int. J. Satell. Commun. Netw., 2024
    
  
  2023
Spectrum Compensation-Based Joint Communication and Jamming Channel Allocation: A Hierarchical Stochastic Potential Game Approach.
    
  
    IEEE Trans. Veh. Technol., March, 2023
    
  
Know Thy Enemy: An Opponent Modeling-Based Anti-Intelligent Jamming Strategy Beyond Equilibrium Solutions.
    
  
    IEEE Wirel. Commun. Lett., 2023
    
  
Dynamic Spectrum Anti-Jamming Access With Fast Convergence: A Labeled Deep Reinforcement Learning Approach.
    
  
    IEEE Trans. Inf. Forensics Secur., 2023
    
  
Flexible Channel Access Against Unknown Dynamic Jamming Attack: A Reinforcement Learning Approach.
    
  
    Proceedings of the IEEE/CIC International Conference on Communications in China, 2023
    
  
  2022
"Advancing Secretly by an Unknown Path": A Reinforcement Learning-Based Hidden Strategy for Combating Intelligent Reactive Jammer.
    
  
    IEEE Wirel. Commun. Lett., 2022
    
  
Primary-User-Friendly Dynamic Spectrum Anti-Jamming Access: A GAN-Enhanced Deep Reinforcement Learning Approach.
    
  
    IEEE Wirel. Commun. Lett., 2022
    
  
    IEEE Wirel. Commun. Lett., 2022
    
  
Fight Against Smart Communication Rival: An Intelligent Jamming Approach With Trend-Oriented Efficacy Evaluation.
    
  
    IEEE Wirel. Commun. Lett., 2022
    
  
Intelligent Dynamic Spectrum Anti-Jamming Communications: A Deep Reinforcement Learning Perspective.
    
  
    IEEE Wirel. Commun., 2022
    
  
  2021
Better Late Than Never: GAN-Enhanced Dynamic Anti-Jamming Spectrum Access With Incomplete Sensing Information.
    
  
    IEEE Wirel. Commun. Lett., 2021
    
  
Joint relay and channel selection against mobile and smart jammer: A deep reinforcement learning approach.
    
  
    IET Commun., 2021
    
  
  2020
Dynamic Spectrum Anti-Jamming in Broadband Communications: A Hierarchical Deep Reinforcement Learning Approach.
    
  
    IEEE Wirel. Commun. Lett., 2020
    
  
Radio Frequency Fingerprint Based Wireless Transmitter Identification Against Malicious Attacker: An Adversarial Learning Approach.
    
  
    Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020
    
  
  2019
Pattern-Aware Intelligent Anti-Jamming Communication: A Sequential Deep Reinforcement Learning Approach.
    
  
    IEEE Access, 2019
    
  
Joint Channel Selection and Data Scheduling in HF Jamming Environment: An Interference-Aware Reinforcement Learning Approach.
    
  
    IEEE Access, 2019
    
  
Distributed Multichannel Access in High-Frequency Diversity Networks: A Multi-Agent Learning Approach With Correlated Equilibrium.
    
  
    IEEE Access, 2019
    
  
A Q-Learning-Based Channel Selection and Data Scheduling Approach for High-Frequency Communications in Jamming Environment.
    
  
    Proceedings of the Machine Learning and Intelligent Communications, 2019