Prosody-based sentence boundary detection in Chinese broadcast news. - Lei Xie; Chenglin Xu; Xiaoxuan Wang (ISCSLP, 2012)

Multi-view features in a DNN-CRF model for improved sentence unit detection on English broadcast news. - Guangpu Huang; Chenglin Xu; Xiong Xiao; Lei Xie 001; Chng Eng Siong; Haizhou Li 001 (APSIPA, 2014)

Sentence boundary detection in chinese broadcast news using conditional random fields and prosodic features. - Chenglin Xu; Lei Xie 001; Zhonghua Fu (ChinaSIP, 2014)

A deep neural network approach for sentence boundary detection in broadcast news. - Chenglin Xu; Lei Xie 001; Guangpu Huang; Xiong Xiao; Engsiong Chng; Haizhou Li 001 (INTERSPEECH, 2014)

The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS. - Kong-Aik Lee; Haizhou Li 001; Li Deng 001; Ville Hautamäki; Wei Rao 002; Xiong Xiao; Anthony Larcher; Hanwu Sun; Trung Hieu Nguyen 001; Guangsen Wang; Aleksandr Sizov; Jianshu Chen; et al. (INTERSPEECH, 2016)

Neural networks based channel compensation for i-vector speaker verification. - Wei Rao 002; Xiong Xiao; Chenglin Xu; Haihua Xu 001; Kong-Aik Lee; Eng Siong Chng; Haizhou Li 001 (ISCSLP, 2016)

Fantastic 4 system for NIST 2015 Language Recognition Evaluation. - Kong-Aik Lee; Ville Hautamäki; Anthony Larcher; Wei Rao 002; Hanwu Sun; Trung Hieu Nguyen 001; Guangsen Wang; Aleksandr Sizov; Ivan Kukanov; Amir Hossein Poorjam; Trung Ngo Trong; Xiong Xiao; et al. (CoRR, 2016)

Dynamics of a Delayed HIV-1 Infection Model with Saturation Incidence Rate and CTL Immune Response. - Ting Guo; Haihong Liu; Chenglin Xu; Fang Yan 001 (Int. J. Bifurc. Chaos, 2016)

The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016. - Kong-Aik Lee; Ville Hautamäki; Tomi Kinnunen; Anthony Larcher; Chunlei Zhang; Andreas Nautsch; Themos Stafylakis; Gang Liu 001; Mickaël Rouvier; Wei Rao 002; Federico Alegre; J. Ma; et al. (INTERSPEECH, 2017)

Weighted Spatial Covariance Matrix Estimation for MUSIC Based TDOA Estimation of Speech Source. - Chenglin Xu; Xiong Xiao; Sining Sun; Wei Rao 002; Eng Siong Chng; Haizhou Li 001 (INTERSPEECH, 2017)

Single Channel Speech Separation with Constrained Utterance Level Permutation Invariant Training Using Grid LSTM. - Chenglin Xu; Wei Rao 002; Xiong Xiao; Eng Siong Chng; Haizhou Li 001 (ICASSP, 2018)

A Shifted Delta Coefficient Objective for Monaural Speech Separation Using Multi-task Learning. - Chenglin Xu; Wei Rao 002; Eng Siong Chng; Haizhou Li 001 (INTERSPEECH, 2018)

A Bidirectional LSTM Approach with Word Embeddings for Sentence Boundary Detection. - Chenglin Xu; Lei Xie 001; Xiong Xiao (J. Signal Process. Syst., 2018)

Domain Adversarial Training for Speech Enhancement. - Nana Hou; Chenglin Xu; Eng Siong Chng; Haizhou Li 001 (APSIPA, 2019)

Time-Domain Speaker Extraction Network. - Chenglin Xu; Wei Rao 002; Eng Siong Chng; Haizhou Li 001 (ASRU, 2019)

Optimization of Speaker Extraction Neural Network with Magnitude and Temporal Spectrum Approximation Loss. - Chenglin Xu; Wei Rao 002; Eng Siong Chng; Haizhou Li 001 (ICASSP, 2019)

Target Speaker Extraction for Multi-Talker Speaker Verification. - Wei Rao 002; Chenglin Xu; Eng Siong Chng; Haizhou Li 001 (INTERSPEECH, 2019)

Target Speaker Extraction for Overlapped Multi-Talker Speaker Verification. - Wei Rao 002; Chenglin Xu; Eng Siong Chng; Haizhou Li 001 (CoRR, 2019)

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences. - Kong Aik Lee; Ville Hautamäki; Tomi Kinnunen; Hitoshi Yamamoto; Koji Okabe; Ville Vestman; Jing Huang 019; Guohong Ding; Hanwu Sun; Anthony Larcher; Rohan Kumar Das; Haizhou Li 001; et al. (CoRR, 2019)

Time-Domain Neural Network Approach for Speech Bandwidth Extension. - Xiang Hao; Chenglin Xu; Nana Hou; Lei Xie 001; Eng Siong Chng; Haizhou Li 001 (ICASSP, 2020)

SpEx+: A Complete Time Domain Speaker Extraction Network. - Meng Ge; Chenglin Xu; Longbiao Wang; Eng Siong Chng; Jianwu Dang 001; Haizhou Li 001 (INTERSPEECH, 2020)

Speaker and Phoneme-Aware Speech Bandwidth Extension with Residual Dual-Path Network. - Nana Hou; Chenglin Xu; Van Tung Pham; Joey Tianyi Zhou; Eng Siong Chng; Haizhou Li 001 (INTERSPEECH, 2020)

Multi-Task Learning for End-to-End Noise-Robust Bandwidth Extension. - Nana Hou; Chenglin Xu; Joey Tianyi Zhou; Eng Siong Chng; Haizhou Li 001 (INTERSPEECH, 2020)

Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks. - Jibin Wu; Chenglin Xu; Daquan Zhou; Haizhou Li 001; Kay Chen Tan (CoRR, 2020)

SpEx: Multi-Scale Time Domain Speaker Extraction Network. - Chenglin Xu; Wei Rao 002; Eng Siong Chng; Haizhou Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Single channel multi-talker speech separation with deep learning - Chenglin Xu (2020)

Multi-Stage Speaker Extraction with Utterance and Frame-Level Reference Signals. - Meng Ge; Chenglin Xu; Longbiao Wang; Eng Siong Chng; Jianwu Dang 001; Haizhou Li 001 (ICASSP, 2021)

Representation Learning with Spectro-Temporal-Channel Attention for Speech Emotion Recognition. - Lili Guo; Longbiao Wang; Chenglin Xu; Jianwu Dang 001; Eng Siong Chng; Haizhou Li 001 (ICASSP, 2021)

Learning Disentangled Feature Representations for Speech Enhancement Via Adversarial Training. - Nana Hou; Chenglin Xu; Eng Siong Chng; Haizhou Li 001 (ICASSP, 2021)

Muse: Multi-Modal Target Speaker Extraction with Visual Cues. - Zexu Pan; Ruijie Tao; Chenglin Xu; Haizhou Li 001 (ICASSP, 2021)

Universal Speaker Extraction in the Presence and Absence of Target Speakers for Speech of One and Two Talkers. - Marvin Borsdorf; Chenglin Xu; Haizhou Li 001; Tanja Schultz (Interspeech, 2021)

GlobalPhone Mix-To-Separate Out of 2: A Multilingual 2000 Speakers Mixtures Database for Speech Separation. - Marvin Borsdorf; Chenglin Xu; Haizhou Li 001; Tanja Schultz (Interspeech, 2021)

Neural Speaker Extraction with Speaker-Speech Cross-Attention Network. - Wupeng Wang; Chenglin Xu; Meng Ge; Haizhou Li 001 (Interspeech, 2021)

A Neural Beamforming Network for B-Format 3D Speech Enhancement and Recognition. - Xinlei Ren; Lianwu Chen; Xiguang Zheng; Chenglin Xu; Xu Zhang; Chen Zhang; Liang Guo; Bing Yu (MLSP, 2021)

Target Speaker Verification With Selective Auditory Attention for Single and Multi-Talker Speech. - Chenglin Xu; Wei Rao 002; Jibin Wu; Haizhou Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Multi-Stage and Multi-Loss Training for Fullband Non-Personalized and Personalized Speech Enhancement. - Lianwu Chen; Chenglin Xu; Xu Zhang; Xinlei Ren; Xiguang Zheng; Chen Zhang; Liang Guo; Bing Yu (ICASSP, 2022)

L-SpEx: Localized Target Speaker Extraction. - Meng Ge; Chenglin Xu; Longbiao Wang; Eng Siong Chng; Jianwu Dang 001; Haizhou Li 001 (ICASSP, 2022)

Joint Social-Aware and Mobility-Aware Computation Offloading in Heterogeneous Mobile Edge Computing. - Chenglin Xu; Cheng Xu 001; Bo Li; Siqi Li 005; Tao Li (IEEE Access, 2022)

Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks. - Jibin Wu; Chenglin Xu; Xiao Han; Daquan Zhou; Malu Zhang; Haizhou Li 001; Kay Chen Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Selective Listening by Synchronizing Speech With Lips. - Zexu Pan; Ruijie Tao; Chenglin Xu; Haizhou Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

KAQ: A Non-Intrusive Stacking Framework for Mean Opinion Score Prediction with Multi-Task Learning. - Chenglin Xu; Xiguang Zheng; Chen Zhang; Chao Zhou; Qi Huang; Bing Yu (ASRU, 2023)

Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction. - Xiang Hao; Jibin Wu; Jianwei Yu; Chenglin Xu; Kay Chen Tan (CoRR, 2023)

Neural speech enhancement with unsupervised pre-training and mixture training. - Xiang Hao; Chenglin Xu; Lei Xie 001 (Neural Networks, 2023)

Load-aware dynamic controller placement based on deep reinforcement learning in SDN-enabled mobile cloud-edge computing networks. - Chenglin Xu; Cheng Xu 001; Bo Li; Siqi Li 005; Tao Li (Comput. Networks, 2023)

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)

A neural network approach for speech enhancement and noise-robust bandwidth extension. - Xiang Hao; Chenglin Xu; Chen Zhang; Lei Xie (Comput. Speech Lang., 2025)