Zeyang Song

According to our database, Zeyang Song authored at least 15 papers between 2019 and 2026.

Collaborative distances:

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

2026

IML-Spikeformer: Input-Aware Multilevel Spiking Transformer for Speech Processing.

Zeyang Song, Shimin Zhang, Yuhong Chou, Jibin Wu, Haizhou Li

IEEE Trans. Neural Networks Learn. Syst., March, 2026

RA-MOFS: a robustness-aware multi-objective feature selection framework for PPG-based arterial stiffness prediction.

Shoutian Wu, Zeyang Song, Yunlong Li, Xuelei Li, Ting Sun, Zuchang Ma, Yining Sun

J. King Saud Univ. Comput. Inf. Sci., 2026

2025

IML-Spikeformer: Input-aware Multi-Level Spiking Transformer for Speech Processing.

Zeyang Song, Shimin Zhang, Yuhong Chou, Jibin Wu, Haizhou Li

CoRR, July, 2025

Long-Context Modeling Networks for Monaural Speech Enhancement: A Comparative Study.

Qiquan Zhang, Moran Chen, Zeyang Song, Hexin Liu, Xiangyu Zhang, Haizhou Li

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2025

KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling.

Shimin Zhang, Ziyuan Ye, Yinsong Yan, Zeyang Song, Yujie Wu, Jibin Wu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

ED-sKWS: Early-Decision Spiking Neural Networks for Rapid, and Energy-Efficient Keyword Spotting.

Zeyang Song, Qianhui Liu, Qu Yang, Yizhou Peng, Haizhou Li

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

SVAD: A Robust, Low-Power, and Light-Weight Voice Activity Detection with Spiking Neural Networks.

Qu Yang, Qianhui Liu, Nan Li, Meng Ge, Zeyang Song, Haizhou Li

Proceedings of the IEEE International Conference on Acoustics, 2024

Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks.

Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li

Proceedings of the IEEE International Conference on Acoustics, 2024

2022

Monitoring Persistent Coal Fire Using Landsat Time Series Data From 1986 to 2020.

Xue Chen, Junhuan Peng, Zeyang Song, Yueze Zheng, Biyao Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

AVA-AVD: Audio-visual Speaker Diarization in the Wild.

Eric Zhongcong Xu, Zeyang Song, Satoshi Tsutsui, Chao Feng, Mang Ye, Mike Zheng Shou

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Knowledge distillation for In-memory keyword spotting model.

Zeyang Song, Qi Liu, Qu Yang, Haizhou Li

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

AVA-AVD: Audio-visual Speaker Diarization in the Wild.

Eric Zhongcong Xu, Zeyang Song, Chao Feng, Mang Ye, Mike Zheng Shou

CoRR, 2021

Unsupervised data augmentation for object detection.

Yichen Zhang, Zeyang Song, Wenbo Li

CoRR, 2021

Minimally Invasive Synchronous Cardiac Assisted Pump and in Vitro study.

Honglong Yu, Dong Yang, Zeyang Song, Yao Xie, Qilian Xie

Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021

2019

An Unsupervised Spiking Deep Neural Network for Object Recognition.

Zeyang Song, Xi Wu, Mengwen Yuan, Huajin Tang

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019