Deep Learning-based User Authentication with Surface EMG Images of Hand Gestures. - Qingqing Li 003; Zhirui Luo; Jun Zheng 003 (EMBC, 2021)

Deep Feature Fusion for Rumor Detection on Twitter. - Zhirui Luo; Qingqing Li 003; Jun Zheng 003 (IEEE Access, 2021)

ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data. - Zhirui Luo; Ruobin Qi; Qingqing Li 003; Jun Zheng 003; Sihua Shao (SmartCom, 2022)

A New Deep Anomaly Detection-Based Method for User Authentication Using Multichannel Surface EMG Signals of Hand Gestures. - Qingqing Li 003; Zhirui Luo; Jun Zheng 003 (IEEE Trans. Instrum. Meas., 2022)

A Novel Unsupervised Data-Driven Method for Electricity Theft Detection in AMI Using Observer Meters. - Ruobin Qi; Jun Zheng 003; Zhirui Luo; Qingqing Li 003 (IEEE Trans. Instrum. Meas., 2022)

DeepTPA-Net: A Deep Triple Attention Network for sEMG-Based Hand Gesture Recognition. - Qingqing Li 003; Zhirui Luo; Ruobin Qi; Jun Zheng 003 (IEEE Access, 2023)

Image-based PDF Malware Detection Using Pre-trained Deep Neural Networks. - Tyler Nichols; Jack Zemlanicky; Zhirui Luo; Qingqing Li 003; Jun Zheng 003 (ISDFS, 2024)

Automatic Searching of Lightweight and High-Performing CNN Architectures for EEG-Based Driving Fatigue Detection. - Qingqing Li 003; Zhirui Luo; Ruobin Qi; Jun Zheng 003 (IEEE Trans. Instrum. Meas., 2024)

A Data-Driven Unsupervised Ensemble Method for Electricity Theft Detection in AMI Systems. - Ruobin Qi; Qingqing Li 003; Zhirui Luo; Jun Zheng 003 (IEEE Access, 2025)

MOGSM-Net: Multi-objective genetically searched multi-label deep networks for non-intrusive load monitoring. - Zhirui Luo; Qingqing Li 003; Ruobin Qi; Jun Zheng 003 (Neural Comput. Appl., 2026)