Yu Li

According to our database, Yu Li authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

An Adversarial Margin Driven Rectified Prototypical Learning Method for Few-Shot Incremental Automatic Modulation Recognition.

Zhenxi Zhang, Haoyue Tan, Peiru Li, Heng Zhou, Xiaoran Shi, Yu Li, Yun Lin, Feng Zhou

IEEE Wirel. Commun. Lett., 2026

A Multi-Level Feature Distribution Learning Method for Automatic Modulation Open-Set Recognition.

Zhenxi Zhang, Haoyue Tan, Xiaoran Shi, Heng Zhou, Yun Lin, Yu Li, Jiankun Ma, Xueru Bai, Feng Zhou

IEEE Trans. Cogn. Commun. Netw., 2026

Improved Distribution Difference Driven Diffusion Generative Method for AMOSR.

Haoyue Tan, Yu Li, Zhenxi Zhang, Yun Lin, Xiaoran Shi, Xueru Bai, Feng Zhou

IEEE Trans. Cogn. Commun. Netw., 2026

SMCL: Toward Semi-Supervised Automatic Modulation Recognition via Semantic Mask Contrastive Learning.

Yu Li, Haoyue Tan, Haoqian Miao, Zhenxi Zhang, Xiaoran Shi, Feng Zhou

IEEE Internet Things J., 2026

2025

Few-Shot SAR ATR via Multilevel Contrastive Learning and Dependence Matrix-Based Measurement.

Haoyue Tan, Zhenxi Zhang, Xiaoran Shi, Xinyao Yang, Yu Li, Xueru Bai, Feng Zhou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Enhancing Unlabeled Signal Representation: A Diffusion-Feature-Based Semi-Supervised Framework for AMR.

Haoyue Tan, Yu Li, Zhenxi Zhang, Xiaoran Shi, Feng Zhou

Proceedings of the 2025 IEEE Global Communications Conference, 2025

Improving Automatic Modulation Long-Tail Recognition with Class-balancing Diffusion Model.

Yu Li, Xiaoran Shi, Haoyue Tan, Feng Zhou

Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024

PASS-Net: A Pseudo Classes and Stochastic Classifiers-Based Network for Few-Shot Class-Incremental Automatic Modulation Classification.

Haoyue Tan, Zhenxi Zhang, Yu Li, Xiaoran Shi, Li Wang, Xinyao Yang, Feng Zhou

IEEE Trans. Wirel. Commun., December, 2024

Intelligent Detection Method for Satellite TT&C Signals under Restricted Conditions Based on TATR.

Yu Li, Xiaoran Shi, Xiaoning Wang, Yongqiang Lu, Peipei Cheng, Feng Zhou

Remote. Sens., March, 2024

Multi-Scale Feature Fusion and Distribution Similarity Network for Few-Shot Automatic Modulation Classification.

Haoyue Tan, Zhenxi Zhang, Yu Li, Xiaoran Shi, Feng Zhou

IEEE Signal Process. Lett., 2024

Wavelet-based Adaptive Network for Automatic Modulation Recognition under Low SNR.

Yu Li, Haoyue Tan, Xiaoran Shi, Wanting Zhou, Feng Zhou

Proceedings of the 35th IEEE International Symposium on Personal, 2024

2023

Unsupervised Modulation Recognition Method Based on Multi-Domain Representation Contrastive Learning.

Yu Li, Xiaoran Shi, Xinyao Yang, Feng Zhou

Proceedings of the IEEE International Conference on Signal Processing, 2023