Mingshuai Liu

According to our database, Mingshuai Liu authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement.

Boyi Kang, Xinfa Zhu, Zihan Zhang, Zhen Ye, Mingshuai Liu, Ziqian Wang, Yike Zhu, Guobin Ma, Jun Chen, Longshuai Xiao, Chao Weng, Wei Xue, Lei Xie

CoRR, March, 2025

LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement.

Boyi Kang, Xinfa Zhu, Zihan Zhang, Zhen Ye, Mingshuai Liu, Ziqian Wang, Yike Zhu, Guobin Ma, Jun Chen, Longshuai Xiao, Chao Weng, Wei Xue, Lei Xie

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Distil-DCCRN: A Small-Footprint DCCRN Leveraging Feature-Based Knowledge Distillation in Speech Enhancement.

Runduo Han, Weiming Xu, Zihan Zhang, Mingshuai Liu, Lei Xie

IEEE Signal Process. Lett., 2024

RaD-Net 2: A causal two-stage repairing and denoising speech enhancement network with knowledge distillation and complex axial self-attention.

Mingshuai Liu, Zhuangqi Chen, Xiaopeng Yan, Yuanjun Lv, Xianjun Xia, Chuanzeng Huang, Yijian Xiao, Lei Xie

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

Rad-Net: A Repairing and Denoising Network for Speech Signal Improvement.

Mingshuai Liu, Zhuangqi Chen, Xiaopeng Yan, Yuanjun Lv, Xianjun Xia, Chuanzeng Huang, Yijian Xiao, Lei Xie

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Two-Step Band-Split Neural Network Approach For Full-Band Residual Echo Suppression.

Zihan Zhang, Shimin Zhang, Mingshuai Liu, Yanhong Leng, Zhe Han, Li Chen, Lei Xie

Proceedings of the IEEE International Conference on Acoustics, 2023

Two-Stage Neural Network for ICASSP 2023 Speech Signal Improvement Challenge.

Mingshuai Liu, Shubo Lv, Zihan Zhang, Runduo Han, Xiang Hao, Xianjun Xia, Li Chen, Yijian Xiao, Lei Xie

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Research on EEMD-MCKD Method of Bearing Vibration Feature Extraction.

Mingshuai Liu, Yuanjun Dai, Kuniv Shi

Proceedings of the 3rd International Conference on Artificial Intelligence and Advanced Manufacture, 2021