Fangwan Huang

Utilizing Machine Learning Techniques to Predict the Efficacy of Aerobic Exercise Intervention on Young Hypertensive Patients Based on Cardiopulmonary Exercise Testing

Ryan G. Benton, G. Borchert, Jingshan Huang, 2021, Journal of healthcare engineering.

An integrative approach to investigate the association among high-sensitive C-reactive protein, body fat mass distribution, and other cardiometabolic risk factors in young healthy women.

J. Bian, K. Fukuo, T. Kazumi, 2018, Methods.

Minimizing the Cost of Spatiotemporal Searches Based on Reinforcement Learning with Probabilistic States

Zhiwen Yu, Fangwan Huang, Chao Chen, 2022, Wireless Communications and Mobile Computing.

A framework based on sparse representation model for time series prediction in smart city

Lin Sun, Zhiwen Yu, Fangwan Huang, 2020, Frontiers of Computer Science.

Data recovery in wireless sensor networks based on attribute correlation and extremely randomized trees

Fangwan Huang, Chunyu Tu, Zhiyong Yu, 2019, Journal of Ambient Intelligence and Humanized Computing.

Use CPET data to predict the intervention effect of aerobic exercise on young hypertensive patients

Bin Ma, Ryan G. Benton, Mohan Vamsi Kasukurthi, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A framework based on sparse representation model for time series prediction in smart city

Zhiwen Yu, Lin Sun, Wenzhong Guo, 2020, Frontiers Comput. Sci..

Data recovery in wireless sensor networks based on attribute correlation and extremely randomized trees

Zhiyong Yu, Hongju Cheng, Fangwan Huang, 2019, J. Ambient Intell. Humaniz. Comput..

Echo State Network Based on L0 Norm Regularization for Chaotic Time Series Prediction

Zhiyong Yu, Li Li, Fangwan Huang, 2020, Grid and Pervasive Computing.

Using Deep Active Learning to Save Sensing Cost When Estimating Overall Air Quality

Zhiyong Yu, Lei Han, Fangwan Huang, 2020, Grid and Pervasive Computing.

An Improved Sparse Representation Classifier Based on Data Augmentation for Time Series Classification

Zhiyong Yu, Fangwan Huang, Juhong Lu, 2020, Grid and Pervasive Computing.

An Improved Leaky-ESN for Electricity Load Forecasting

Zhiyong Yu, Li Li, Qiaoying Lin, 2020, GPC.

Estimating missing data for sparsely sensed time series with exogenous variables using bidirectional-feedback echo state networks

Fangwan Huang, Weinan Zheng, Wen-chao Guo, 2022, CCF Transactions on Pervasive Computing and Interaction.

Adaptive Modularized Recurrent Neural Networks for Electric Load Forecasting

Fangwan Huang, Zhiyong Yu, Yuzhong Chen, 2023, Journal of Database Management.

Power Load Prediction Based On An Improved Clock-Work RNN

Zhiyong Yu, Fangwan Huang, Shijie Zhuang, 2019, 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).

Evaluating the Use of Large Language Model to Identify Top Research Priorities in Hematology

G. Borchert, Fangwan Huang, Dongqi Li, 2023, 2023 IEEE International Conference on E-health Networking, Application & Services (Healthcom).