Back analysis for mechanical parameters of surrounding rock for underground roadways based on new neural network. - Wei Gao; Dongliang Chen; Shuang Dai; Xu Wang (Eng. Comput., 2018)

Energy Forecasting with Building Characteristics Analysis. - Shuang Dai; Fanlin Meng (IJCNN, 2020)

A telehealth framework for dementia care: an ADLs patterns recognition model for patients based on NILM. - Shuang Dai; Qian Wang 017; Fanlin Meng (IJCNN, 2021)

Electrical peak demand forecasting- A review. - Shuang Dai; Fanlin Meng; Hongsheng Dai; Qian Wang 017; Xizhong Chen (CoRR, 2021)

DP2-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring. - Shuang Dai; Fanlin Meng; Qian Wang 017; Xizhong Chen (CoRR, 2022)

Tobacco Quality Prediction in Tobacco Machine Drying Based on Data-Driven Deep Reinforcement Learning. - Shuang Dai; Zhengping Zhou; Jiawei Fan; Huancheng Guo (ICMLCA, 2023)

FederatedNILM: A Distributed and Privacy-Preserving Framework for Non-Intrusive Load Monitoring Based on Federated Deep Learning. - Shuang Dai; Fanlin Meng; Qian Wang 017; Xizhong Chen (IJCNN, 2023)

A distributed and real-time machine learning framework for smart meter big data. - Shuang Dai (2023)

Addressing modern and practical challenges in machine learning: a survey of online federated and transfer learning. - Shuang Dai; Fanlin Meng (Appl. Intell., 2023)

Dynamic Load Usage Behavior Simulation in Smart Grids: A Data-Driven Approach in Urban Buildings. - Shuang Dai; Fanlin Meng (WSC, 2024)

New forest-based approaches for sufficient dimension reduction. - Shuang Dai; Ping Wu; Zhou Yu (Stat. Comput., 2024)