Convolutional Capsule-Based Network for Person Re-identification. - Andong Li; Di Wu 030; De-Shuang Huang; Lijun Zhang (ICIC (1), 2019)

Convolutional Recurrent Neural Network Based Progressive Learning for Monaural Speech Enhancement. - Andong Li; Chengshi Zheng; Xiaodong Li 002 (CoRR, 2019)

A Supervised Speech enhancement Approach with Residual Noise Control for Voice Communication. - Andong Li; Chengshi Zheng; Xiaodong Li 002 (CoRR, 2019)

A Time-domain Monaural Speech Enhancement with Feedback Learning. - Andong Li; Chengshi Zheng; Linjuan Cheng; Renhua Peng; Xiaodong Li 002 (APSIPA, 2020)

A Recursive Network with Dynamic Attention for Monaural Speech Enhancement. - Andong Li; Chengshi Zheng; Cunhang Fan; Renhua Peng; Xiaodong Li 002 (INTERSPEECH, 2020)

A Time-domain Monaural Speech Enhancement with Recursive Learning. - Andong Li; Chengshi Zheng; Linjuan Cheng; Renhua Peng; Xiaodong Li 002 (CoRR, 2020)

The IOA System for Deep Noise Suppression Challenge using a Framework Combining Dynamic Attention and Recursive Learning. - Andong Li; Chengshi Zheng; Renhua Peng; Linjuan Cheng; Xiaodong Li 002 (CoRR, 2020)

Dynamic Attention Based Generative Adversarial Network with Phase Post-Processing for Speech Enhancement. - Andong Li; Chengshi Zheng; Renhua Peng; Cunhang Fan; Xiaodong Li 002 (CoRR, 2020)

Two Heads Are Better Than One: A Two-Stage Approach for Monaural Noise Reduction in the Complex Domain. - Andong Li; Chengshi Zheng; Renhua Peng; Xiaodong Li 002 (CoRR, 2020)

Incorporating Multi-Target in Multi-Stage Speech Enhancement Model for Better Generalization. - Lu Zhang 055; Mingjiang Wang; Andong Li; Zehua Zhang; Xuyi Zhuang (APSIPA ASC, 2021)

Learning to Inference with Early Exit in the Progressive Speech Enhancement. - Andong Li; Chengshi Zheng; Lu Zhang 055; Xiaodong Li 002 (EUSIPCO, 2021)

ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network. - Andong Li; Wenzhe Liu; Xiaoxue Luo; Chengshi Zheng; Xiaodong Li 002 (ICASSP, 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)

Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech Enhancement. - Wenzhe Liu; Andong Li; Yuxuan Ke; Chengshi Zheng; Xiaodong Li 002 (Interspeech, 2021)

Glance and Gaze: A Collaborative Learning Framework for Single-channel Speech Enhancement. - Andong Li; Chengshi Zheng; Lu Zhang 055; Xiaodong Li 002 (CoRR, 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 Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection. - Andong Li; Zhaohong Deng; Qiongdan Lou; Kup-Sze Choi; Hong-Bin Shen; Shitong Wang 001 (CoRR, 2021)

Low-complexity artificial noise suppression methods for deep learning-based speech enhancement algorithms. - Yuxuan Ke; Andong Li; Chengshi Zheng; Renhua Peng; Xiaodong Li 002 (EURASIP J. Audio Speech Music. Process., 2021)

Two Heads are Better Than One: A Two-Stage Complex Spectral Mapping Approach for Monaural Speech Enhancement. - Andong Li; Wenzhe Liu; Chengshi Zheng; Cunhang Fan; Xiaodong Li 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Embedding and Beamforming: All-Neural Causal Beamformer for Multichannel Speech Enhancement. - Andong Li; Wenzhe Liu; Chengshi Zheng; Xiaodong Li 002 (ICASSP, 2022)

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)

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)

A deep complex multi-frame filtering network for stereophonic acoustic echo cancellation. - Linjuan Cheng; Chengshi Zheng; Andong Li; Yuquan Wu; Renhua Peng; Xiaodong Li 002 (INTERSPEECH, 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)

Bifurcation and Reunion: A Loss-Guided Two-Stage Approach for Monaural Speech Dereverberation. - Xiaoxue Luo; Chengshi Zheng; Andong Li; Yuxuan Ke; 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)

A deep complex network with multi-frame filtering for stereophonic acoustic echo cancellation. - Linjuan Cheng; Chengshi Zheng; Andong Li; Renhua Peng; Xiaodong Li 002 (CoRR, 2022)

A Neural Beam Filter for Real-time Multi-channel Speech Enhancement. - Wenzhe Liu; Andong Li; Chengshi Zheng; Xiaodong Li 002 (CoRR, 2022)

Low-latency Monaural Speech Enhancement with Deep Filter-bank Equalizer. - Chengshi Zheng; Wenzhe Liu; Andong Li; Yuxuan Ke; Xiaodong Li 002 (CoRR, 2022)

MDNet: Learning Monaural Speech Enhancement from Deep Prior Gradient. - Andong Li; Chengshi Zheng; Ziyang Zhang; Xiaodong Li 002 (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)

A separation and interaction framework for causal multi-channel speech enhancement. - Wenzhe Liu; Andong Li; Chengshi Zheng; Xiaodong Li 002 (Digit. Signal Process., 2022)

Double-coupling learning for multi-task data stream classification. - Yingzhong Shi; Andong Li; Zhaohong Deng; Qisheng Yan; Qiongdan Lou; Haoran Chen; Kup-Sze Choi; Shitong Wang 001 (Inf. Sci., 2022)

Analysis of trade-offs between magnitude and phase estimation in loss functions for speech denoising and dereverberation. - Xiaoxue Luo; Chengshi Zheng; Andong Li; Yuxuan Ke; Xiaodong Li 002 (Speech Commun., 2022)

A Neural Beamspace-Domain Filter for Real-Time Multi-Channel Speech Enhancement. - Wenzhe Liu; Andong Li; Xiao Wang; Minmin Yuan; Yi Chen; Chengshi Zheng; Xiaodong Li 002 (Symmetry, 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)

Gesper: A Unified Framework for General Speech Restoration. - Jun Chen 024; Yupeng Shi; Wenzhe Liu; Wei Rao 002; Shulin He; Andong Li; Yannan Wang; Zhiyong Wu 001; Shidong Shang; Chengshi Zheng (ICASSP, 2023)

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)

Gesper: A Restoration-Enhancement Framework for General Speech Reconstruction. - Wenzhe Liu; Yupeng Shi; Jun Chen 024; Wei Rao 002; Shulin He; Andong Li; Yannan Wang; Zhiyong Wu 001 (INTERSPEECH, 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)

CompNet: Complementary network for single-channel speech enhancement. - Cunhang Fan; Hongmei Zhang; Andong Li; Wang Xiang; Chengshi Zheng; Zhao Lv; Xiaopei Wu (Neural Networks, 2023)

Opine: Leveraging a Optimization-Inspired Deep Unfolding Method for Multi-Channel Speech Enhancement. - Andong Li; Rilin Chen; Yu Gu; Chao Weng; Dan Su (ICASSP, 2024)

All Neural Kronecker Product Beamforming for Speech Extraction with Large-Scale Microphone Arrays. - Weixin Meng; Xiaoyu Li; Andong Li; Jian Li; Xiaodong Li 002; Chengshi Zheng (ICASSP, 2024)

VoiCor: A Residual Iterative Voice Correction Framework for Monaural Speech Enhancement. - Rui Cao; Tianrui Wang; Meng Ge; Andong Li; Longbiao Wang; Jianwu Dang 001; Yungang Jia (INTERSPEECH, 2024)

SMRU: Split-And-Merge Recurrent-Based UNet For Acoustic Echo Cancellation And Noise Suppression. - Zhihang Sun; Andong Li; Rilin Chen; Hao Zhang 112; Meng Yu 003; Yi Zhou 014; Dong Yu 001 (SLT, 2024)

SMRU: Split-and-Merge Recurrent-based UNet for Acoustic Echo Cancellation and Noise Suppression. - Zhihang Sun; Andong Li; Rilin Chen; Hao Zhang; Meng Yu; Yi Zhou; Dong Yu (CoRR, 2024)

Array2BR: An End-to-End Noise-immune Binaural Audio Synthesis from Microphone-array Signals. - Cheng Chi; Xiaoyu Li; Andong Li; Yuxuan Ke; Xiaodong Li 002; Chengshi Zheng (CoRR, 2024)

An unknown wafer surface defect detection approach based on Incremental Learning for reliability analysis. - Zeyun Zhao; Jia Wang; Qian Tao; Andong Li; Yiyang Chen (Reliab. Eng. Syst. Saf., 2024)

Deep Kronecker Product Beamforming for Large-Scale Microphone Arrays. - Weixin Meng; Xiaoyu Li; Andong Li; Xiaoxue Luo; Shefeng Yan; Xiaodong Li 002; Chengshi Zheng (IEEE ACM Trans. Audio Speech Lang. Process., 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)

Multiview Transfer Representation Learning With TSK Fuzzy System for EEG Epilepsy Detection. - Andong Li; Zhaohong Deng; Wei Zhang 221; Zhiyong Xiao; Kup-Sze Choi; Yueying Liu; Shudong Hu; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2024)

BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement. - Cunhang Fan; Enrui Liu; Andong Li; Jianhua Tao 001; Jian Zhou 006; Jiahao Li; Chengshi Zheng; Zhao Lv (AAAI, 2025)

DSINet: Towards Real-Time Target Speaker Extraction with Dynamic Speaker Information Fusion. - Fengyuan Hao; Andong Li; 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)

NaturalL2S: End-to-End High-quality Multispeaker Lip-to-Speech Synthesis with Differential Digital Signal Processing. - Yifan Liang; Fangkun Liu; Andong Li; Xiaodong Li 002; Chengshi Zheng (CoRR, 2025)

Dual Anchor Graph Fuzzy Clustering for Multiview Data. - Wei Zhang 221; Xiuyu Huang; Andong Li; Te Zhang; Weiping Ding 001; Zhaohong Deng; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2025)

COFA: counterfactual attention framework for trustworthy wafer map failure classification. - Kaiyue Feng; Jia Wang 009; Chenke Yin; Andong Li (Appl. Intell., 2025)

From Continuous to Discrete: Cross-Domain Collaborative General Speech Enhancement via Hierarchical Language Models. - Zhaoxi Mu; Rilin Chen; Andong Li; Meng Yu 003; Xinyu Yang; Dong Yu 001 (CoRR, 2025)

Learning Neural Vocoder from Range-Null Space Decomposition. - Andong Li; Tong Lei; Zhihang Sun; Rilin Chen; Erwei Yin; Xiaodong Li 002; Chengshi Zheng (CoRR, 2025)

Advances in Speech Separation: Techniques, Challenges, and Future Trends. - Kai Li; Guo Chen; Wendi Sang; Yi Luo; Zhuo Chen; Shuai Wang; Shulin He; Zhong-Qiu Wang; Andong Li; Zhiyong Wu; Xiaolin Hu (CoRR, 2025)

Grasping State Analysis of Multi-DOF Soft Manipulators Based on Multimodal Sensing and Deep Spiking Fuzzy Network. - Haoyuan Wang; Zhongzheng Fu; Andong Li; Lujie Yi; Yuxiao Sun; Xinxing Chen; Hao Wu 028; Jian Huang 001 (IEEE Trans. Fuzzy Syst., 2025)