Short-Term Load Forecasting with LSTM Based Ensemble Learning. - Lingxiao Wang 004; Shiwen Mao; Bogdan M. Wilamowski (iThings/GreenCom/CPSCom/SmartData, 2019)

Ensemble Learning for Load Forecasting. - Lingxiao Wang 004; Shiwen Mao; Bogdan M. Wilamowski; R. M. Nelms (IEEE Trans. Green Commun. Netw., 2020)

Meta-Pose: Environment-adaptive Human Skeleton Tracking with RFID. - Chao Yang 025; Lingxiao Wang 004; Xuyu Wang; Shiwen Mao (GLOBECOM, 2021)

Demo Abstract: Environment-adaptive 3D Human Pose Tracking with RFID. - Chao Yang 025; Lingxiao Wang 004; Xuyu Wang; Shiwen Mao (INFOCOM Workshops, 2022)

Transformer for Nonintrusive Load Monitoring: Complexity Reduction and Transferability. - Lingxiao Wang 004; Shiwen Mao; R. Mark Nelms (IEEE Internet Things J., 2022)

Pre-Trained Models for Non-Intrusive Appliance Load Monitoring. - Lingxiao Wang 004; Shiwen Mao; Bogdan M. Wilamowski; Robert M. Nelms (IEEE Trans. Green Commun. Netw., 2022)

A Comprehensive Deep Learning Framework for Microwave Stroke Classification: Combining Signal Analysis, Clinical Variables, and Antenna System Measurements. - Wei Yuan; Phawis Thammasorn; Lingxiao Wang 004; Shih Mo (IEEE Access, 2025)