Improved Relativistic Cycle-Consistent GAN With Dilated Residual Network and Multi-Attention for Speech Enhancement. - Yutian Wang; Guochen Yu; Jingling Wang; Hui Wang 070; Qin Zhang 009 (IEEE Access, 2020)

CycleGAN-based Non-parallel Speech Enhancement with an Adaptive Attention-in-attention Mechanism. - Guochen Yu; Yutian Wang; Chengshi Zheng; Hui Wang 070; Qin Zhang 009 (APSIPA ASC, 2021)

A Simultaneous Denoising and Dereverberation Framework with Target Decoupling. - Andong Li; Wenzhe Liu; Xiaoxue Luo; Guochen Yu; Chengshi Zheng; Xiaodong Li 002 (Interspeech, 2021)

Joint magnitude estimation and phase recovery using Cyle-in-cycle GAN for non-parallel speech enhancement. - Guochen Yu; Andong Li; Yutian Wang; Yinuo Guo; Chengshi Zheng; Hui Wang 070 (CoRR, 2021)

A two-stage complex network using cycle-consistent generative adversarial networks for speech enhancement. - Guochen Yu; Yutian Wang; Hui Wang 070; Qin Zhang 009; Chengshi Zheng (Speech Commun., 2021)

Joint Magnitude Estimation and Phase Recovery Using Cycle-In-Cycle GAN for Non-Parallel Speech Enhancement. - Guochen Yu; Andong Li; Yutian Wang; Yinuo Guo; Hui Wang 070; Chengshi Zheng (ICASSP, 2022)

Dual-Branch Attention-In-Attention Transformer for Single-Channel Speech Enhancement. - Guochen Yu; Andong Li; Chengshi Zheng; Yinuo Guo; Yutian Wang; Hui Wang 070 (ICASSP, 2022)

Low Complexity DOA Estimation Algorithms Based on Propagator for Massive MIMO Systems. - Xin Liu; Zhongyan Liu; Yuwei Zhao; Yang Liu 063; Guochen Yu; Shun Na (ICCT, 2022)

Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement. - Andong Li; Shan You; Guochen Yu; Chengshi Zheng; Xiaodong Li 002 (IJCAI, 2022)

TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network. - Yuansheng Guan; Guochen Yu; Andong Li; Chengshi Zheng; Jie Wang (INTERSPEECH, 2022)

TaylorBeamformer: Learning All-Neural Beamformer for Multi-Channel Speech Enhancement from Taylor's Approximation Theory. - Andong Li; Guochen Yu; Chengshi Zheng; Xiaodong Li 002 (INTERSPEECH, 2022)

Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Full-Band Speech Enhancement. - Guochen Yu; Andong Li; Wenzhe Liu; Chengshi Zheng; Yutian Wang; Hui Wang 070 (ISCSLP, 2022)

DMF-Net: A decoupling-style multi-band fusion model for real-time full-band speech enhancement. - Guochen Yu; Yuansheng Guan; Weixin Meng; Chengshi Zheng; Hui Wang 070 (CoRR, 2022)

Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement. - Guochen Yu; Andong Li; Wenzhe Liu; Chengshi Zheng; Yutian Wang; Hui Wang 070 (CoRR, 2022)

TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective. - Andong Li; Guochen Yu; Wenzhe Liu; Xiaodong Li 002; Chengshi Zheng (CoRR, 2022)

A General Deep Learning Speech Enhancement Framework Motivated by Taylor's Theorem. - Andong Li; Guochen Yu; Chengshi Zheng; Wenzhe Liu; Xiaodong Li 002 (CoRR, 2022)

Filtering and Refining: A Collaborative-Style Framework for Single-Channel Speech Enhancement. - Andong Li; Chengshi Zheng; Guochen Yu; Juanjuan Cai; Xiaodong Li 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

DBT-Net: Dual-Branch Federative Magnitude and Phase Estimation With Attention-in-Attention Transformer for Monaural Speech Enhancement. - Guochen Yu; Andong Li; Hui Wang 070; Yutian Wang; Yuxuan Ke; Chengshi Zheng (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective. - Andong Li; Weixin Meng; Guochen Yu; Wenzhe Liu; Xiaodong Li 002; Chengshi Zheng (INTERSPEECH, 2023)

Hybrid TOA/AOA Indoor Positioning Based on Sparse Reconstruction and Map Matching. - Yajun Zhang; Chaoyang Du; Yi Luo; Yang Liu 063; Guochen Yu; Tianshuang Qiu (VTC Fall, 2023)

A General Unfolding Speech Enhancement Method Motivated by Taylor's Theorem. - Andong Li; Guochen Yu; Chengshi Zheng; Wenzhe Liu; Xiaodong Li 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Multi-Stage Training For Cross-Domain Full-Band Audio Packet Loss Concealment. - Nan Li; Guochen Yu; Chen Zhang; Chao Zhou; Qi Huang; Bing Yu (ICASSP Workshops, 2024)

Ks-Net: Multi-Band Joint Speech Restoration and Enhancement Network for 2024 ICASSP SSI Challenge. - Guochen Yu; Runqiang Han; Chenglin Xu; Haoran Zhao; Nan Li; Chen Zhang; Xiguang Zheng; Chao Zhou; Qi Huang; Bing Yu (ICASSP Workshops, 2024)

BAE-Net: a Low Complexity and High Fidelity Bandwidth-Adaptive Neural Network for Speech Super-Resolution. - Guochen Yu; Xiguang Zheng; Nan Li; Runqiang Han; Chengshi Zheng; Chen Zhang; Chao Zhou; Qi Huang; Bing Yu (ICASSP, 2024)

TaBE: Decoupling spatial and spectral processing with Taylor's unfolding method in the beamspace domain for multi-channel speech enhancement. - Andong Li; Guochen Yu; Zhongweiyang Xu; Cunhang Fan; Xiaodong Li 002; Chengshi Zheng (Inf. Fusion, 2024)