Luyao Niu

Master in Smart City


Curriculum vitae



+86-13869560160


School of Urban Planning and Design

Peking University



MF-AttnBiLSTM: Traffic Flow Prediction via Hybrid Signal Decomposition and Dual-Stream Temporal Attention Learning


Conference proceedings


Luyao Niu, Zepu Wang, Jing Liu, Azzedine Boukerche, Peng Sun
IEEE Global Communications Conference: IoT and Sensor Networks, 2025

Cite

Cite

APA   Click to copy
Niu, L., Wang, Z., Liu, J., Boukerche, A., & Sun, P. (2025). MF-AttnBiLSTM: Traffic Flow Prediction via Hybrid Signal Decomposition and Dual-Stream Temporal Attention Learning. IEEE Global Communications Conference: IoT and Sensor Networks.


Chicago/Turabian   Click to copy
Niu, Luyao, Zepu Wang, Jing Liu, Azzedine Boukerche, and Peng Sun. MF-AttnBiLSTM: Traffic Flow Prediction via Hybrid Signal Decomposition and Dual-Stream Temporal Attention Learning. IEEE Global Communications Conference: IoT and Sensor Networks, 2025.


MLA   Click to copy
Niu, Luyao, et al. MF-AttnBiLSTM: Traffic Flow Prediction via Hybrid Signal Decomposition and Dual-Stream Temporal Attention Learning. IEEE Global Communications Conference: IoT and Sensor Networks, 2025.


BibTeX   Click to copy

@proceedings{luyao2025a,
  title = {MF-AttnBiLSTM: Traffic Flow Prediction via Hybrid Signal Decomposition and Dual-Stream Temporal Attention Learning},
  year = {2025},
  organization = {IEEE Global Communications Conference: IoT and Sensor Networks},
  author = {Niu, Luyao and Wang, Zepu and Liu, Jing and Boukerche, Azzedine and Sun, Peng}
}


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