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)

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)

Deep Learning Strategy for Braille Character Recognition. - Tasleem Kausar; Sajjad Manzoor; Adeeba Kausar; Yun Lu 004; Muhammad Wasif; M. Adnan Ashraf (IEEE Access, 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)

EEG-Based Emotion Recognition by Exploiting Fused Network Entropy Measures of Complex Networks across Subjects. - Longxin Yao; Mingjiang Wang; Yun Lu 004; Heng Li 013; Xue Zhang (Entropy, 2021)

Cross-Individual Obstructive Obstructive Apnea Detection in Snoring Signals Using Hybrid Deep Neural Networks. - Xu Lin; Yun Lu 004; Heng Li 013; Yukun Qian; Lianyu Zhou; Mingjiang Wang (ACAI, 2022)

Contactless sleep apnea detection in snoring signals using hybrid deep neural networks targeted for embedded hardware platform with real-time applications. - Xu Lin; Hanrong Cheng; Yun Lu 004; Huaiwen Luo; Heng Li 013; Yukun Qian; Lianyu Zhou; Lu Zhang 055; Mingjiang Wang (Biomed. Signal Process. Control., 2022)

A Miniaturized Dual U-shaped Patch Antenna for WiFi-6E Applications. - Wenzhe Gu; Botao Feng; Yiyuan Luo; Jianchao Zheng; Yun Lu 004 (ICCNS, 2023)

Breast Cancer Diagnosis Using Lightweight Deep Convolution Neural Network Model. - Tasleem Kausar; Yun Lu 004; Adeeba Kausar (IEEE Access, 2023)

SD-GAN: A Style Distribution Transfer Generative Adversarial Network for Covid-19 Detection Through X-Ray Images. - Tasleem Kausar; Yun Lu 004; Adeeba Kausar; Mustajab Ali; Adnan Yousaf (IEEE Access, 2023)

Saliency-Based Semantic Weeds Detection and Classification Using UAV Multispectral Imaging. - Anum Naveed; Muhammad Wasif; Muhammad Jehanzeb Irshad; Muhammad Javaid Aslam; Sajjad Manzoor; Tasleem Kausar; Yun Lu 004 (IEEE Access, 2023)

EEG Decoding of Auditory Spatial Attention Based on Visibility Graph and Machine Learning. - Peixin Wang; Tasleem Kausar; Heng Li 013; Siyang Jiang; Yingying Rong; Yun Lu 004 (CVDL, 2024)

Auditory-GAN: deep learning framework for improved auditory spatial attention detection. - Tasleem Kausar; Yun Lu 004; Muhammad Awais Asghar; Adeeba Kausar; Siqi Cai; Saeed Ahmed; Ahmad Almogren (PeerJ Comput. Sci., 2024)

CSMT: Combining Snoring and Metadata-based Text for Sleep Apnea Severity Classification. - Heng Li 013; Yukun Qian; Yun Lu 004; Mingjiang Wang (ICASSP, 2025)