Fangwan Huang

Orcid: 0000-0001-9878-1893

Affiliations:
  • Fuzhou University, Fujian, China


According to our database1, Fangwan Huang authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Route selection for opportunity-sensing and prediction of waterlogging.
Frontiers Comput. Sci., August, 2024

Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph- and Attention-Based Approach.
IEEE/ACM Trans. Netw., April, 2024

Online User Recruitment With Adaptive Budget Segmentation in Sparse Mobile Crowdsensing.
IEEE Internet Things J., 2024

2023
Estimating missing data for sparsely sensed time series with exogenous variables using bidirectional-feedback echo state networks.
CCF Trans. Pervasive Comput. Interact., March, 2023

Adaptive Modularized Recurrent Neural Networks for Electric Load Forecasting.
J. Database Manag., 2023

Recommendations for Urban Planning Based on Non-motorized Travel Data and Street Comfort.
Proceedings of the Spatial Data and Intelligence - 4th International Conference, 2023

Evaluating the Use of Large Language Model to Identify Top Research Priorities in Hematology.
Proceedings of the IEEE International Conference on E-health Networking, 2023

2022
Viewing Flowers at their Most Beautiful Moments: A Crowd Sensing Application.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

2021
Data recovery in wireless sensor networks based on attribute correlation and extremely randomized trees.
J. Ambient Intell. Humaniz. Comput., 2021

A framework based on sparse representation model for time series prediction in smart city.
Frontiers Comput. Sci., 2021

Pool-Based Sequential Active Learning For Regression Based on Incremental Cluster Center Selection.
Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

2020
An Improved Sparse Representation Classifier Based on Data Augmentation for Time Series Classification.
Proceedings of the Green, Pervasive, and Cloud Computing - 15th International Conference, 2020

An Improved Leaky-ESN for Electricity Load Forecasting.
Proceedings of the Green, Pervasive, and Cloud Computing - 15th International Conference, 2020

Echo State Network Based on L<sub>0</sub> Norm Regularization for Chaotic Time Series Prediction.
Proceedings of the Green, Pervasive, and Cloud Computing - 15th International Conference, 2020

Using Deep Active Learning to Save Sensing Cost When Estimating Overall Air Quality.
Proceedings of the Green, Pervasive, and Cloud Computing - 15th International Conference, 2020

2019
Power Load Prediction Based On An Improved Clock-Work RNN.
Proceedings of the 2019 IEEE SmartWorld, 2019

Use CPET data to predict the intervention effect of aerobic exercise on young hypertensive patients.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Electric Load Forecasting Based on Sparse Representation Model.
Proceedings of the Green, Pervasive, and Cloud Computing - 13th International Conference, 2018

2017
Combine biological experiments, statistical analysis, and semantic search to discover association among high-sensitive C-reactive protein, body fat mass distribution, and other cardiometabolic risk factors in young healthy women.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017


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