Accelerating the Computation of Entropy Measures by Exploiting Vectors with Dissimilarity. - Yun Lu 004; Mingjiang Wang; Rong-Chao Peng; Qiquan Zhang (Entropy, 2017)

Identification of Auditory Object-Specific Attention from Single-Trial Electroencephalogram Signals via Entropy Measures and Machine Learning. - Yun Lu 004; Mingjiang Wang; Qiquan Zhang; Yufei Han (Entropy, 2018)

Identification of Emotional Valences via Memory-Informed Deep Neural Network with Entropy Features. - Yun Lu 004; Mingjiang Wang; Wanqing Wu; Qiquan Zhang; Yufei Han; Ming Liu (ICMSSP, 2019)

Fast Nonstationary Noise Tracking Based on Log-Spectral Power MMSE Estimator and Temporal Recursive Averaging. - Qiquan Zhang; Mingjiang Wang; Yun Lu 004; Muhammad Idrees; Lu Zhang 055 (IEEE Access, 2019)

Learning Reinforced Attentional Representation for End-to-End Visual Tracking. - Peng Gao 005; Qiquan Zhang; Liyi Xiao; Yan Zhang 066; Fei Wang 036 (CoRR, 2019)

A novel fast nonstationary noise tracking approach based on MMSE spectral power estimator. - Qiquan Zhang; Mingjiang Wang; Yun Lu 004; Lu Zhang 055; Muhammad Idrees (Digit. Signal Process., 2019)

Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals. - Yun Lu 004; Mingjiang Wang; Wanqing Wu; Qiquan Zhang; Yufei Han; Tasleem Kausar; Shixiong Chen; Ming Liu; Bo Wang (Complex., 2020)

Probability decision-driven speech enhancement algorithm based on human acoustic perception. - Lu Zhang 055; Mingjiang Wang; Muhammad Idrees; Qiquan Zhang (IET Signal Process., 2020)

Learning reinforced attentional representation for end-to-end visual tracking. - Peng Gao 005; Qiquan Zhang; Fei Wang 036; Liyi Xiao; Hamido Fujita; Yan Zhang 066 (Inf. Sci., 2020)

DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation. - Qiquan Zhang; Aaron Nicolson; Mingjiang Wang; Kuldip K. Paliwal; Chenxu Wang 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Temporal Convolutional Network with Frequency Dimension Adaptive Attention for Speech Enhancement. - Qiquan Zhang; Qi Song; Aaron Nicolson; Tian Lan; Haizhou Li 001 (Interspeech, 2021)

Auditory attention decoding from electroencephalography based on long short-term memory networks. - Yun Lu 004; Mingjiang Wang; Longxin Yao; Hongcai Shen; Wanqing Wu; Qiquan Zhang; Lu Zhang 055; Moran Chen; Hao Liu; Rongchao Peng; Ming Liu; Shixiong Chen (Biomed. Signal Process. Control., 2021)

PhaseDCN: A Phase-Enhanced Dual-Path Dilated Convolutional Network for Single-Channel Speech Enhancement. - Lu Zhang 055; Mingjiang Wang; Qiquan Zhang; Xinsheng Wang; Ming Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation. - Chen Zhang 020; Luis Fernando D'Haro; Qiquan Zhang; Thomas Friedrichs; Haizhou Li 001 (EMNLP, 2022)

Time-Frequency Attention for Monaural Speech Enhancement. - Qiquan Zhang; Qi Song; Zhaoheng Ni; Aaron Nicolson; Haizhou Li 001 (ICASSP, 2022)

A new multilayer graph model for speech signals with graph learning. - Tingting Wang; Haiyan Guo; Qiquan Zhang; Zhen Yang 001 (Digit. Signal Process., 2022)

Deep Audio-Visual Beamforming for Speaker Localization. - Xinyuan Qian 001; Qiquan Zhang; Guohui Guan 001; Wei Xue 002 (IEEE Signal Process. Lett., 2022)

Ripple Sparse Self-Attention for Monaural Speech Enhancement. - Qiquan Zhang; Hongxu Zhu; Qi Song; Xinyuan Qian 001; Zhaoheng Ni; Haizhou Li 001 (ICASSP, 2023)

EEG-Derived Voice Signature for Attended Speaker Detection. - Hongxu Zhu; Siqi Cai 002; Yidi Jiang; Qiquan Zhang; Haizhou Li 001 (CoRR, 2023)

PoE: A Panel of Experts for Generalized Automatic Dialogue Assessment. - Chen Zhang 020; Luis Fernando D'Haro; Qiquan Zhang; Thomas Friedrichs; Haizhou Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

A Time-Frequency Attention Module for Neural Speech Enhancement. - Qiquan Zhang; Xinyuan Qian 001; Zhaoheng Ni; Aaron Nicolson; Eliathamby Ambikairajah; Haizhou Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Neural-Free Attention for Monaural Speech Enhancement Toward Voice User Interface for Consumer Electronics. - Moran Chen; Qiquan Zhang; Qi Song; Xinyuan Qian 001; Ruijin Guo; Mingjiang Wang; Deying Chen (IEEE Trans. Consumer Electron., 2023)

Speech-Oriented Sparse Attention Denoising for Voice User Interface Toward Industry 5.0. - Hongxu Zhu; Qiquan Zhang; Peng Gao 005; Xinyuan Qian 001 (IEEE Trans. Ind. Informatics, 2023)

An MMSE graph spectral magnitude estimator for speech signals residing on an undirected multiple graph. - Tingting Wang; Haiyan Guo; Zirui Ge; Qiquan Zhang; Zhen Yang 001 (EURASIP J. Audio Speech Music. Process., 2023)

Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model. - Xiangyu Zhang; Daijiao Liu; Hexin Liu; Qiquan Zhang; Hanyu Meng; Leibny Paola García-Perera; Engsiong Chng; Lina Yao (EMNLP, 2024)

When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection. - Xiangyu Zhang; Hexin Liu; Kaishuai Xu; Qiquan Zhang; Daijiao Liu; Beena Ahmed; Julien Epps (EMNLP, 2024)

GLMB 3D Speaker Tracking with Video-Assisted Multi-Channel Audio Optimization Functions. - Xinyuan Qian 001; Zexu Pan; Qiquan Zhang; Kainan Chen; Shoufeng Lin (ICASSP, 2024)

An Empirical Study on the Impact of Positional Encoding in Transformer-Based Monaural Speech Enhancement. - Qiquan Zhang; Meng Ge; Hongxu Zhu; Eliathamby Ambikairajah; Qi Song; Zhaoheng Ni; Haizhou Li 001 (ICASSP, 2024)

Binaural Selective Attention Model for Target Speaker Extraction. - Hanyu Meng; Qiquan Zhang; Xiangyu Zhang; Vidhyasaharan Sethu; Eliathamby Ambikairajah (INTERSPEECH, 2024)

An Exploration of Length Generalization in Transformer-Based Speech Enhancement. - Qiquan Zhang; Hongxu Zhu; Xinyuan Qian 001; Eliathamby Ambikairajah; Haizhou Li 001 (INTERSPEECH, 2024)

Medical knowledge graph question answering for drug-drug interaction prediction based on multi-hop machine reading comprehension. - Peng Gao 005; Feng Gao; Jian-Cheng Ni; Yu Wang; Fei Wang 036; Qiquan Zhang (CAAI Trans. Intell. Technol., 2024)

Mamba in Speech: Towards an Alternative to Self-Attention. - Xiangyu Zhang; Qiquan Zhang; Hexin Liu; Tianyi Xiao; Xinyuan Qian 001; Beena Ahmed; Eliathamby Ambikairajah; Haizhou Li 001; Julien Epps (CoRR, 2024)

Deep Cross-Modal Retrieval Between Spatial Image and Acoustic Speech. - Xinyuan Qian 001; Wei Xue 002; Qiquan Zhang; Ruijie Tao; Haizhou Li 001 (IEEE Trans. Multim., 2024)

SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information. - Xiangyu Zhang; Hexin Liu; Qiquan Zhang; Beena Ahmed; Julien Epps (ACL (Findings), 2025)

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement. - Tingting Wang; Tianrui Wang; Meng Ge; Qiquan Zhang; Zirui Ge; Zhen Yang 001 (ICASSP, 2025)

Dual-stream Noise and Speech Information Perception based Speech Enhancement. - Nan Li; Longbiao Wang; Qiquan Zhang; Jianwu Dang 001 (Expert Syst. Appl., 2025)

Should Audio Front-ends be Adaptive? Comparing Learnable and Adaptive Front-ends. - Qiquan Zhang; Buddhi Wickramasinghe; Eliathamby Ambikairajah; Vidhyasaharan Sethu; Haizhou Li 001 (CoRR, 2025)

Impact of Frame Rates on Speech Tokenizer: A Case Study on Mandarin and English. - Haoyang Zhang; Hexin Liu; Xiangyu Zhang; Qiquan Zhang; Yuchen Hu; Junqi Zhao; Fei Tian; Xuerui Yang; Eng Siong Chng (CoRR, 2025)

SAV-SE: Scene-Aware Audio-Visual Speech Enhancement With Selective State Space Model. - Xinyuan Qian 001; Jiaran Gao; Yaodan Zhang; Qiquan Zhang; Hexin Liu; Leibny Paola García-Perera; Haizhou Li 001 (IEEE J. Sel. Top. Signal Process., 2025)

Selective State Space Model for Monaural Speech Enhancement. - Moran Chen; Qiquan Zhang; Mingjiang Wang; Xiangyu Zhang; Hexin Liu; Eliathamby Ambikairajah; Deying Chen (IEEE Trans. Consumer Electron., 2025)