Chunyu Tan

According to our database, Chunyu Tan authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

Intrinsic plasticity coding improved spiking actor network for reinforcement learning.

Xingyue Liang, Qiaoyun Wu, Wenzhang Liu, Yun Zhou, Chunyu Tan, Hongfu Yin, Changyin Sun

Neural Networks, 2025

2024

An Improved A-Star Path Planning Algorithm Based on Mobile Robots in Medical Testing Laboratories.

Chengpeng Yin, Chunyu Tan, Chongqin Wang, Feng Shen

Sensors, March, 2024

Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification.

Qiaoyun Wu, Quanxiao Zhang, Chunyu Tan, Yun Zhou, Changyin Sun

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

EEG Epileptic Seizure Classification Using Hybrid Time-Frequency Attention Deep Network.

Yunfei Tian, Chunyu Tan, Qiaoyun Wu, Yun Zhou

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Mobile Robot Global Planning Based on Improved A* Algorithm Path Planning Research.

Binglin Li, Chunyu Tan, Yufeng Lian, Yong Shao, Hao Xu

Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications, 2023

2021

Statistical n-Best AFD-Based Sparse Representation for ECG Biometric Identification.

Chunyu Tan, Liming Zhang, Tao Qian, Susana Brás, Armando J. Pinho

IEEE Trans. Instrum. Meas., 2021

A novel feature representation approach for single-lead heartbeat classification based on adaptive Fourier decomposition.

Chunyu Tan, Liming Zhang, Hau-Tieng Wu, Tao Qian

Int. J. Wavelets Multiresolution Inf. Process., 2021

2019

A Novel Blaschke Unwinding Adaptive-Fourier-Decomposition-Based Signal Compression Algorithm With Application on ECG Signals.

Chunyu Tan, Liming Zhang, Hau-Tieng Wu

IEEE J. Biomed. Health Informatics, 2019

A New Supervised Learning Approach: Statistical Adaptive Fourier Decomposition (SAFD).

Chunyu Tan, Liming Zhang, Tao Qian

Proceedings of the Neural Information Processing - 26th International Conference, 2019