Children's Drawing Psychological Analysis using Shallow Convolutional Neural Network. - Yue Yuan; Jing Huang 005; Xiang Ma 004; Ke Yan 001 (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2020)

Multi-Task Learning Model Based on Multi-Scale CNN and LSTM for Sentiment Classification. - Ning Jin 001; Jiaxian Wu; Xiang Ma 004; Ke Yan 001; Yuchang Mo (IEEE Access, 2020)

Short-term Solar Irradiation Prediction Model Based on WCNN_ALSTM. - Maozheng Pi; Ning Jin 001; Xiang Ma 004; Ke Yan 001 (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Measurement spatial deformation of bone loading based on 3D surface modeling. - Guoliang Su; Jianjun Cui; Xiang Ma 004 (DASC/PiCom/CBDCom/CyberSciTech, 2021)

A deep learning model for PM2.5 concentration prediction. - Zhendong Zhang; Xiang Ma 004; Ke Yan 001 (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Highly accurate energy consumption forecasting model based on parallel LSTM neural networks. - Ning Jin 001; Fan Yang 100; Yuchang Mo; Yongkang Zeng; Xiaokang Zhou; Ke Yan 001; Xiang Ma 004 (Adv. Eng. Informatics, 2022)

VMD-AC-LSTM: An Accurate Prediction Method for Solar Irradiance. - Jianwei Wang; Ke Yan 001; Xiang Ma 004 (GPC (1), 2023)

Intelligent fault diagnosis for air handing units based on improved generative adversarial network and deep reinforcement learning. - Ke Yan 001; Cheng Lu; Xiang Ma 004; Zhiwei Ji; Jing Huang 005 (Expert Syst. Appl., 2024)

Multi-grained adaptive informer for multi-step solar irradiance forecasting. - Xiang Ma 004; Jianwei Wang; Jing Huang 005; Yan Ke (Expert Syst. Appl., 2025)

Energy consumption and carbon emission modeling and forecasting study with novel deep learning methods. - Xiang Ma 004; Jian Wang; Jing Huang 005; Yan Ke (Expert Syst. Appl., 2025)