Forecasting Hourly Solar Irradiance Using Hybrid Wavelet Transformation and Elman Model in Smart Grid. - Xiaoqiao Huang; Junsheng Shi; Bixuan Gao; Yonghang Tai; Zaiqing Chen; Jun Zhang 003 (IEEE Access, 2019)

Neural Model Stealing Attack to Smart Mobile Device on Intelligent Medical Platform. - Liqiang Zhang; Guanjun Lin; Bixuan Gao; Zhibao Qin; Yonghang Tai; Jun Zhang 065 (Wirel. Commun. Mob. Comput., 2020)

Trustworthy and Intelligent COVID-19 Diagnostic IoMT Through XR and Deep-Learning-Based Clinic Data Access. - Yonghang Tai; Bixuan Gao; Qiong Li 001; Zhengtao Yu 001; Chunsheng Zhu; Victor Chang 001 (IEEE Internet Things J., 2021)

A High-Frequency Monitoring Method for Urban Carbon Emissions Based on Vertical Federated Deep Learning and Multi-Source Heterogeneous Data Fusion Methods. - Yi Gao; Dawei Yan; Ning Liu; Shuai Luo; Zhiyu Zhou; Yang Wang 149; Yue Chen; Bixuan Gao (ICITEE, 2022)

A Data-Driven Analysis Method for the Trajectory of Power Carbon Emission in the Urban Area. - Yi Gao; Dawei Yan; Xiangyu Kong; Ning Liu; Zhiyu Zou; Bixuan Gao; Yang Wang; Yue Chen; Shuai Luo (Big Data, 2025)

An interpretable privacy-preserving real-time carbon emission estimation approach for heterogeneous industrial enterprises. - Xiangyu Kong; Riwei Zhang; Bixuan Gao; Gaohua Liu; Kaijie Fang; Meimei Duan (Eng. Appl. Artif. Intell., 2025)