Speech separation based on improved deep neural networks with dual outputs of speech features for both target and interfering speakers. - Yanhui Tu; Jun Du 002; Yong Xu 004; Li-Rong Dai 001; Chin-Hui Lee 001 (ISCSLP, 2014)

An information fusion approach to recognizing microphone array speech in the CHiME-3 challenge based on a deep learning framework. - Jun Du 002; Qing Wang 008; Yanhui Tu; Xiao Bao; Li-Rong Dai 001; Chin-Hui Lee 001 (ASRU, 2015)

Speech Separation based on signal-noise-dependent deep neural networks for robust speech recognition. - Yanhui Tu; Jun Du 002; Li-Rong Dai 001; Chin-Hui Lee 001 (ICASSP, 2015)

A speaker-dependent deep learning approach to joint speech separation and acoustic modeling for multi-talker automatic speech recognition. - Yanhui Tu; Jun Du 002; Li-Rong Dai 001; Chin-Hui Lee 001 (ISCSLP, 2016)

A Regression Approach to Single-Channel Speech Separation Via High-Resolution Deep Neural Networks. - Jun Du 002; Yanhui Tu; Li-Rong Dai 001; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

LSTM-based iterative mask estimation and post-processing for multi-channel speech enhancement. - Yanhui Tu; Jun Du 002; Lei Sun 010; Chin-Hui Lee 001 (APSIPA, 2017)

On Design of Robust Deep Models for CHiME-4 Multi-Channel Speech Recognition with Multiple Configurations of Array Microphones. - Yanhui Tu; Jun Du 002; Lei Sun 010; Feng Ma; Chin-Hui Lee 001 (INTERSPEECH, 2017)

An information fusion framework with multi-channel feature concatenation and multi-perspective system combination for the deep-learning-based robust recognition of microphone array speech. - Yanhui Tu; Jun Du 002; Qing Wang 008; Xiao Bao; Li-Rong Dai 001; Chin-Hui Lee 001 (Comput. Speech Lang., 2017)

Online LSTM-based Iterative Mask Estimation for Multi-Channel Speech Enhancement and ASR. - Yanhui Tu; Jun Du 002; Nan Zhou; Chin-Hui Lee 001 (APSIPA, 2018)

Attention Based Fully Convolutional Network for Speech Emotion Recognition. - Yuanyuan Zhang; Jun Du 002; Zi-Rui Wang; Jianshu Zhang 001; Yanhui Tu (APSIPA, 2018)

A Hybrid Approach to Combining Conventional and Deep Learning Techniques for Single-Channel Speech Enhancement and Recognition. - Yanhui Tu; Ivan Tashev; Shuayb Zarar; Chin-Hui Lee (ICASSP, 2018)

A Speaker-Dependent Approach to Single-Channel Joint Speech Separation and Acoustic Modeling Based on Deep Neural Networks for Robust Recognition of Multi-Talker Speech. - Yanhui Tu; Jun Du 002; Chin-Hui Lee 001 (J. Signal Process. Syst., 2018)

A Speech Enhancement Neural Network Architecture with SNR-Progressive Multi-Target Learning for Robust Speech Recognition. - Nan Zhou; Jun Du 002; Yanhui Tu; Tian Gao 005; Chin-Hui Lee 001 (APSIPA, 2019)

DNN Training Based on Classic Gain Function for Single-channel Speech Enhancement and Recognition. - Yanhui Tu; Jun Du 002; Chin-Hui Lee 001 (ICASSP, 2019)

A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records. - Binhua Wang; Yongyi Bai; Zhenjie Yao; Jiangong Li; Wei Dong 005; Yanhui Tu; Wanguo Xue; Yaping Tian; Yifei Wang; Kunlun He (IEEE Access, 2019)

An iterative mask estimation approach to deep learning based multi-channel speech recognition. - Yanhui Tu; Jun Du 002; Lei Sun 010; Feng Ma; Hai-Kun Wang; Jingdong Chen; Chin-Hui Lee 001 (Speech Commun., 2019)

Speech Enhancement Based on Teacher-Student Deep Learning Using Improved Speech Presence Probability for Noise-Robust Speech Recognition. - Yanhui Tu; Jun Du 002; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

High-Resolution Attention Network with Acoustic Segment Model for Acoustic Scene Classification. - Xue Bai; Jun Du 002; Jia Pan; Hengshun Zhou; Yanhui Tu; Chin-Hui Lee 001 (ICASSP, 2020)

2D-to-2D Mask Estimation for Speech Enhancement Based on Fully Convolutional Neural Network. - Yanhui Tu; Jun Du 002; Chin-Hui Lee 001 (ICASSP, 2020)

Attention-Based Multi-component LSTM for Internet Traffic Prediction. - Qian Xu; Zhenjie Yao; Yanhui Tu; Yixin Chen 001 (ICONIP (5), 2020)

A Space-and-Speaker-Aware Iterative Mask Estimation Approach to Multi-Channel Speech Recognition in the CHiME-6 Challenge. - Yanhui Tu; Jun Du 002; Lei Sun 010; Feng Ma; Jia Pan; Chin-Hui Lee 001 (INTERSPEECH, 2020)

Using Speech Enhancement Preprocessing for Speech Emotion Recognition in Realistic Noisy Conditions. - Hengshun Zhou; Jun Du 002; Yanhui Tu; Chin-Hui Lee 001 (INTERSPEECH, 2020)

Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN. - Nan Li; Zhenjie Yao; Yanhui Tu; Yixin Chen 001 (IEEE Access, 2020)

A Multi-Target SNR-Progressive Learning Approach to Regression Based Speech Enhancement. - Yanhui Tu; Jun Du 002; Tian Gao 005; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Trend Analysis Neural Networks for Interpretable Analysis of Longitudinal Data. - Zhenjie Yao; Yixin Chen 001; Jinwei Wang; Shouling Wu; Yanhui Tu; Minghui Zhao; Luxia Zhang (IEEE BigData, 2021)

TCLA Array: A New Sparse Array Design with Less Mutual Coupling. - Ahmed M. A. Shaalan; Jun Du 002; Yanhui Tu (ICASSP, 2021)

Internet Traffic Forecasting using Temporal-Topological Graph Convolutional Networks. - Zhenjie Yao; Qian Xu; Yongrui Chen 001; Yanhui Tu; He Zhang; Yixin Chen 001 (IJCNN, 2021)

Acoustic Modeling for Multi-Array Conversational Speech Recognition in the Chime-6 Challenge. - Li Chai 002; Jun Du 002; Diyuan Liu; Yanhui Tu; Chin-Hui Lee 001 (SLT, 2021)

VAE-TCN hybrid model for KPI Anomaly Detection. - Bo Wu; Qian Xu; Zhenjie Yao; Yanhui Tu; Yixin Chen 001 (APNOMS, 2022)

A Dilated Transformer Network for Time Series Anomaly Detection. - Bo Wu; Zhenjie Yao; Yanhui Tu; Yixin Chen 001 (ICTAI, 2022)

Dilated Nested Arrays With More Degrees of Freedom (DOFs) and Less Mutual Coupling - Part I: The Fundamental Geometry. - Ahmed M. A. Shaalan; Jun Du 002; Yanhui Tu (IEEE Trans. Signal Process., 2022)

The USTC-NERCSLIP Systems for the CHiME-7 DASR Challenge. - Ruoyu Wang 029; Maokui He; Jun Du 002; Hengshun Zhou; Shutong Niu; Hang Chen 001; Yanyan Yue; Gaobin Yang; Shilong Wu; Lei Sun 010; Yanhui Tu; Haitao Tang; et al. (CoRR, 2023)

Early prediction of MODS interventions in the intensive care unit using machine learning. - Chang Liu; Zhenjie Yao; Pengfei Liu; Yanhui Tu; Hu Chen; Haibo Cheng; Lixin Xie; Kun Xiao (J. Big Data, 2023)

A Spatial Long-Term Iterative Mask Estimation Approach for Multi-Channel Speaker Diarization and Speech Recognition. - Feng Ma; Yanhui Tu; Maokui He; Ruoyu Wang 029; Shutong Niu; Lei Sun 010; Zhongfu Ye; Jun Du 002; Jia Pan; Chin-Hui Lee 001 (ICASSP, 2024)

The USTC-NERCSLIP Systems for the CHiME-8 NOTSOFAR-1 Challenge. - Shutong Niu; Ruoyu Wang 029; Jun Du 002; Gaobin Yang; Yanhui Tu; Siyuan Wu; Shuangqing Qian; Huaxin Wu; Haitao Xu; Xueyang Zhang; Guolong Zhong; Xindi Yu; et al. (CoRR, 2024)

Interpretable Trend Analysis Neural Networks for Longitudinal Data Analysis. - Zhenjie Yao; Yixin Chen 001; Jinwei Wang; Junjuan Li; Shuohua Chen; Shouling Wu; Yanhui Tu; Minghui Zhao; Luxia Zhang (ACM Trans. Comput. Heal., 2024)

Revisiting the potential value of vital signs in the real-time prediction of mortality risk in intensive care unit patients. - Pan Pan; Yue Wang; Chang Liu; Yanhui Tu; Haibo Cheng; Qingyun Yang; Fei Xie; Yuan Li; Lixin Xie; Yuhong Liu (J. Big Data, 2024)