Haoran Zha

Orcid: 0000-0002-5336-3919

According to our database1, Haoran Zha authored at least 20 papers between 2020 and 2026.

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

2026
Transmit Power Minimization for RIS-Assisted CF-NOMA in Space-Ground Integrated Networks.
IEEE Trans. Wirel. Commun., 2026

Reinforcement Learning With Conformal Symplectic Optimization for Aerial RIS-Aided Secure Communication.
IEEE Trans. Wirel. Commun., 2026

Adaptive Noise-Resilient Test-Time Adaptation for RF Signal Recognition.
IEEE Trans. Cogn. Commun. Netw., 2026

AFD-IL: A Long-Term Incremental Learning Approach With Adaptive Feature Distillation for Specific Emitter Identification.
IEEE Trans. Cogn. Commun. Netw., 2026

2025
Structure-Regularized Clustering Domain Adaptation for Lying Posture Recognition Under Category Shift.
IEEE Trans. Consumer Electron., November, 2025

OS-SEI: Open-Set Specific Emitter Identification Based on Outlier Exposure and Label Smoothing.
IEEE Internet Things J., November, 2025

Cross-Domain Generalization for Specific Emitter Identification With Unseen Signals via Fourier Phase and MMD Features.
IEEE Internet Things J., July, 2025

Enhancing Security in 5G NR With Channel-Robust RF Fingerprinting Leveraging SRS for Cross-Domain Stability.
IEEE Trans. Inf. Forensics Secur., 2025

2024
GLR-SEI: Green and Low Resource Specific Emitter Identification Based on Complex Networks and Fisher Pruning.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Channel-Robust Class-Universal Spectrum-Focused Frequency Adversarial Attacks on Modulated Classification Models.
IEEE Trans. Cogn. Commun. Netw., August, 2024

FCGCN: Feature Correlation Graph Convolution Network for Few-Shot Individual Identification.
IEEE Trans. Consumer Electron., February, 2024

LT-SEI: Long-Tailed Specific Emitter Identification Based on Decoupled Representation Learning in Low-Resource Scenarios.
IEEE Trans. Intell. Transp. Syst., January, 2024

The technology of radio frequency fingerprint identification based on deep learning for 5G application.
Secur. Saf., 2024

Specific Emitter Identification Using Feature Fusion based on Multi-Head Attention Mechanism.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023
TESPOSDA-SEI: tensor embedding substructure preserving open set domain adaptation for specific emitter identification.
Wirel. Networks, October, 2023

SEI-DM: Crafting Revolutionary RF Signals in Low-Resource Settings via Diffusion Model.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

TFMA: Few-Shot RF Fingerprint Identification with Time-Frequency Mask Augmentation.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

2022
Evaluation of deep learning model in the field of electromagnetic signal recognition.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
Impact of Mechanism and Influencing Factors of Radio Frequency Fingerprint on Wireless Devices.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

2020
Real-World ADS-B signal recognition based on Radio Frequency Fingerprinting.
Proceedings of the 28th IEEE International Conference on Network Protocols, 2020


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