Pengyu Wang

Orcid: 0000-0003-4581-9004

Affiliations:
  • Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China


According to our database1, Pengyu Wang authored at least 17 papers between 2020 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Dual-Cascaded Multi-Task Learning for Mobility Management in mmWave Wireless Systems.
IEEE Wirel. Commun. Lett., August, 2025

Tensor Hierarchical Sparse Recovery for Holographic MIMO Channel Estimation.
IEEE Wirel. Commun. Lett., July, 2025

Wireless Interference Recognition With Low-Complexity Sparse Multilayer Perceptron.
IEEE Commun. Lett., July, 2025

Diffusion Model Empowered Data Augmentation for Automatic Modulation Recognition.
IEEE Wirel. Commun. Lett., April, 2025

2024
MmWave Beam Prediction Under Hand Blockage.
IEEE Wirel. Commun. Lett., December, 2024

Wireless Interference Recognition With Multimodal Learning.
IEEE Trans. Wirel. Commun., December, 2024

2023
Learning Dynamic Computing Resource Allocation in Convolutional Neural Networks for Wireless Interference Identification.
IEEE Trans. Veh. Technol., July, 2023

2022
Time-Frequency Component-Aware Convolutional Neural Network for Wireless Interference Classification.
IEEE Wirel. Commun. Lett., 2022

Bring Globality Into Convolutional Neural Networks for Wireless Interference Classification.
IEEE Wirel. Commun. Lett., 2022

WIR-Transformer: Using Transformers for Wireless Interference Recognition.
IEEE Wirel. Commun. Lett., 2022

Binary Neural Networks for Wireless Interference Identification.
IEEE Wirel. Commun. Lett., 2022

Multi-Domain Networks for Wireless Interference Recognition.
IEEE Trans. Veh. Technol., 2022

Low-Bitwidth Convolutional Neural Networks for Wireless Interference Identification.
IEEE Trans. Cogn. Commun. Netw., 2022

2021
Jamming Detection in Broadband Frequency Hopping Systems Based on Multi-Segment Signals Spectrum Clustering.
IEEE Access, 2021

Multi-Depth Adaptive Networks For Wireless Interference Identification.
Proceedings of the ICC 2021, 2021

Augmented Convolutional Neural Networks with Transformer for Wireless Interference Identification.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Convolutional Neural Network-Based Interference Recognition.
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020


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