Research on EEMD-MCKD Method of Bearing Vibration Feature Extraction. - Mingshuai Liu; Yuanjun Dai; Kuniv Shi (AIAM (IEEE), 2021)

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 001 (ICASSP, 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 001 (ICASSP, 2023)

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 001 (ICASSP Workshops, 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 001 (INTERSPEECH, 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 001 (IEEE Signal Process. Lett., 2024)

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; et al. (ACL (1), 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 002; et al. (CoRR, 2025)