End-to-end neural speaker diarization with an iterative adaptive attractor estimation. - Fengyuan Hao; Xiaodong Li 002; Chengshi Zheng (Neural Networks, 2023)

A Time-Frequency Band-Split Neural Network For Real-Time Full-Band Packet Loss Concealment. - Lingling Dai; Yuxuan Ke; Huiyong Zhang; Fengyuan Hao; Xiaoxue Luo; Xiaodong Li 002; Chengshi Zheng (ICASSP Workshops, 2024)

Renet: A Time-Frequency Domain General Speech Restoration Network for Icassp 2024 Speech Signal Improvement Challenge. - Fengyuan Hao; Huiyong Zhang; Lingling Dai; Xiaoxue Luo; Xiaodong Li 002; Chengshi Zheng (ICASSP Workshops, 2024)

X-TF-GridNet: A time-frequency domain target speaker extraction network with adaptive speaker embedding fusion. - Fengyuan Hao; Xiaodong Li 002; Chengshi Zheng (Inf. Fusion, 2024)

DSINet: Towards Real-Time Target Speaker Extraction with Dynamic Speaker Information Fusion. - Fengyuan Hao; Andong Li; Xiaodong Li 002; Chengshi Zheng (ICASSP, 2025)

DeepPreNet: A Deep Learning Pre-Processing Method for Speech Distortion Correction in Parametric Array Loudspeaker. - Wenyao Ma; Yunxi Zhu; Fengyuan Hao; Liwen Qin; Fengyi Fan; Jun Yang (ICASSP, 2025)

DeepPEM-AFC: An Improved Prediction-Error-Method-based Adaptive Feedback Cancellation with Deep Learning for Hearing Aids. - Xiaofan Zhan; Fengyuan Hao; Xiaodong Li 002; Chengshi Zheng (ICASSP, 2025)

Audiogram-Informed End-to-End Noise Reduction and Wide Dynamic Range Compression for Hearing Aids. - Huiyong Zhang; Brian C. J. Moore; Lingling Dai; Fengyuan Hao; Xiaodong Li 002; Chengshi Zheng (ICASSP, 2025)

Neural Vocoders as Speech Enhancers. - Andong Li; Zhihang Sun; Fengyuan Hao; Xiaodong Li 002; Chengshi Zheng (CoRR, 2025)