Multi-thread parallel algorithm for reconstructing 3D large-scale porous structures. - Yang Ju; Yaohui Huang; Jiangtao Zheng; Xu Qian; Heping Xie; Xi Zhao (Comput. Geosci., 2017)

TDDF: HFMD Outpatients Prediction Based on Time Series Decomposition and Heterogenous Data Fusion in Xiamen, China. - Zhijin Wang; Yaohui Huang; Bingyan He; Ting Luo; Yongming Wang; Yingxian Lin (ADMA, 2019)

3-D Reconstruction Method for Complex Pore Structures of Rocks Using a Small Number of 2-D X-Ray Computed Tomography Images. - Yang Ju; Yaohui Huang; Wenbo Gong 002; Jiangtao Zheng; Heping Xie; Li Wang 104; Xu Qian (IEEE Trans. Geosci. Remote. Sens., 2019)

Short-Term Infectious Diarrhea Prediction Using Weather and Search Data in Xiamen, China. - Zhijin Wang; Yaohui Huang; Bingyan He; Ting Luo; Yongming Wang; Yonggang Fu; Chenxi Huang (Sci. Program., 2020)

Offset-free Model Predictive Control: A Ball Catching Application with a Spherical Soft Robotic Arm. - Yaohui Huang; Matthias Hofer 003; Raffaello D'Andrea (IROS, 2021)

Stock Turnover Prediction Using Search Engine Data. - Zhijin Wang; Yaohui Huang; Bing Cai; Rui Ma; Zongyue Wang (J. Circuits Syst. Comput., 2021)

Dual-grained representation for hand, foot, and mouth disease prediction within public health cyber-physical systems. - Zhijin Wang; Yaohui Huang; Bingyan He (Softw. Pract. Exp., 2021)

An Oriented Attention Model for Infectious Disease Cases Prediction. - Peisong Zhang; Zhijin Wang; Guoqing Chao; Yaohui Huang; Jingwen Yan (IEA/AIE, 2022)

Learning High-dimensional Associations for Nonalcoholic Fatty Liver Disease Diagnosis Prediction. - Zhijin Wang; Bing Cai; Wen Yang; Peisong Zhang; Yaohui Huang; Jinmo Tang (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

A multi-view time series model for share turnover prediction. - Zhijin Wang; Qiankun Su; Guoqing Chao; Bing Cai; Yaohui Huang; Yonggang Fu (Appl. Intell., 2022)

A multi-view multi-omics model for cancer drug response prediction. - Zhijin Wang; Ziyang Wang; Yaohui Huang; Longquan Lu; Yonggang Fu (Appl. Intell., 2022)

Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network. - Haijun Lei; Yuchen Zhang; Hancong Li; Zhongwei Huang; Chien-Hung Liu; Feng Zhou 003; Ee-Leng Tan; Xiaohua Xiao; Yi Lei; Huoyou Hu; Yaohui Huang; Baiying Lei (Comput. Biol. Medicine, 2022)

Dual-grained directional representation for infectious disease case prediction. - Peisong Zhang; Zhijin Wang; Yaohui Huang; Mingzhai Wang (Knowl. Based Syst., 2022)

Spatiotemporal Evolution of Residential Exposure to Green Space in Beijing. - Yue Cao; Guangdong Li; Yaohui Huang (Remote. Sens., 2023)

HFMD Cases Prediction Using Transfer One-Step-Ahead Learning. - Yaohui Huang; Peisong Zhang; Ziyang Wang; Zhenkun Lu; Zhijin Wang (Neural Process. Lett., 2023)

Early diagnosis and clinical score prediction of Parkinson's disease based on longitudinal neuroimaging data. - Haijun Lei; Yukang Lei; Zihao Chen; Shiqi Li; Zhongwei Huang; Feng Zhou 003; Ee-Leng Tan; Xiaohua Xiao; Yi Lei; Huoyou Hu; Yaohui Huang; Chien-Hung Liu; et al. (Neural Comput. Appl., 2023)

Oriented transformer for infectious disease case prediction. - Zhijin Wang; Pesiong Zhang; Yaohui Huang; Guoqing Chao; Xijiong Xie; Yonggang Fu (Appl. Intell., 2023)

Patient-Involved Validation of A Somatosensory ERP-BCI Facilitated by Electric Stimulation for Stroke Rehabilitation. - Junlin Wang; Xiaodong Li; Yaohui Huang; Dongyi Xiao; Yingjie Fan 007; Wei Huang; Yong Hu (EMBC, 2024)

Multiscale Spatio-Temporal Enhanced Short-term Load Forecasting of Electric Vehicle Charging Stations. - Zongbao Zhang; Jiao Hao; Wenmeng Zhao; Yan Liu; Yaohui Huang; Xinhang Luo (CoRR, 2024)

Carbon futures price forecasting based on feature selection. - Yuan Zhao; Yaohui Huang; Zhijin Wang; Xiufeng Liu (Eng. Appl. Artif. Intell., 2024)

A new feature selection method based on importance measures for crude oil return forecasting. - Yuan Zhao; Yaohui Huang; Zhijin Wang; Xiufeng Liu (Neurocomputing, 2024)

Directional Representation Encoder-Decoder for Personalized Blood Glucose Forecasting. - Yu Chen; Zhijin Wang; Jinmo Tang; Henghong Lin; Senzhen Wu; Yaohui Huang (PAKDD (Workshops), 2025)

Physics-informed spatio-temporal network with trainable adaptive feature selection for short-term wind speed prediction. - Laeeq Aslam 002; Runmin Zou; Yaohui Huang; Ebrahim Shahzad Awan; Sharjeel Abid Butt; Qian Zhou (Comput. Electr. Eng., 2025)

Locally similar multi-hop fusion GNNs with data augmentation for early Alzheimer's detection. - Gai Li; Yuwen Zhang; Xuegang Song; Peng Yang 011; Lei Dong; Yaohui Huang; Xiaohua Xiao; Tianfu Wang 001; Shuqiang Wang; Baiying Lei (Expert Syst. Appl., 2025)

Temporal structure-preserving transformer for industrial load forecasting. - Senzhen Wu; Zhijin Wang; Xiufeng Liu; Yuan Zhao; Yue Hu; Yaohui Huang (Neural Networks, 2025)

Causality-Aware Multi-Graph Convolutional Networks With Critical Node Dynamics for Electric Vehicle Charging Station Load Forecasting. - Yaohui Huang; Senzhen Wu; Zhijin Wang; Xiufeng Liu; Chendan Li; Yue Hu (IEEE Trans. Smart Grid, 2025)