Fangwan Huang

According to our database, Fangwan Huang authored at least 22 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Dynamic meta-graph convolutional recurrent network for heterogeneous spatiotemporal graph forecasting.

Xianwei Guo, Zhiyong Yu, Fangwan Huang, Xing Chen, Dingqi Yang, Jiangtao Wang

Neural Networks, 2025

2024

Route selection for opportunity-sensing and prediction of waterlogging.

Jingbin Wang, Weijie Zhang, Zhiyong Yu, Fangwan Huang, Weiping Zhu, Longbiao Chen

Frontiers Comput. Sci., August, 2024

Adaptive Budgeting for Collaborative Multi-Task Data Collection in Online Sparse Crowdsensing.

Chunyu Tu, Zhiyong Yu, Lei Han, Xianwei Guo, Fangwan Huang, Wenzhong Guo, Leye Wang

IEEE Trans. Mob. Comput., July, 2024

Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph- and Attention-Based Approach.

Xianwei Guo, Fangwan Huang, Dingqi Yang, Chunyu Tu, Zhiyong Yu, Wenzhong Guo

IEEE/ACM Trans. Netw., April, 2024

Online User Recruitment With Adaptive Budget Segmentation in Sparse Mobile Crowdsensing.

Xianwei Guo, Chunyu Tu, Yongtao Hao, Zhiyong Yu, Fangwan Huang, Leye Wang

IEEE Internet Things J., 2024

2023

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

Fangwan Huang, Weinan Zheng, Wenzhong Guo, Zhiyong Yu

CCF Trans. Pervasive Comput. Interact., March, 2023

Adaptive Modularized Recurrent Neural Networks for Electric Load Forecasting.

Fangwan Huang, Shijie Zhuang, Zhiyong Yu, Yuzhong Chen, Kun Guo

J. Database Manag., 2023

Recommendations for Urban Planning Based on Non-motorized Travel Data and Street Comfort.

Linfeng Xie, Zhiyong Yu, Fangwan Huang, Daoye Zhu

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.

Huiqin Chen, Fangwan Huang, Xuanyun Liu, Yinli Tan, Dihua Zhang, Dongqi Li, Glen M. Borchert, Ming Tan, Jingshan Huang

Proceedings of the IEEE International Conference on E-health Networking, 2023

Uneven Hybrid Clickstream Generation Based on Multi-Layer Perceptron.

Shen Liu, Zhiyong Yu, Fangwan Huang

Proceedings of the Eleventh International Conference on Advanced Cloud and Big Data, 2023

2022

Viewing Flowers at their Most Beautiful Moments: A Crowd Sensing Application.

Weifeng Xiong, Fangwan Huang, Zhiyong Yu, Xianwei Guo, Binwei Lin, Qiquan Cai

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.

Hongju Cheng, Leihuo Wu, Ruixing Li, Fangwan Huang, Chunyu Tu, Zhiyong Yu

J. Ambient Intell. Humaniz. Comput., 2021

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

Zhiyong Yu, Xiangping Zheng, Fangwan Huang, Wenzhong Guo, Lin Sun, Zhiwen Yu

Frontiers Comput. Sci., 2021

Pool-Based Sequential Active Learning For Regression Based on Incremental Cluster Center Selection.

Binwei Lin, Zhiyong Yu, Fangwan Huang, Longkun Guo

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.

Juhong Lu, Fangwan Huang, Zhiyong Yu

Proceedings of the Green, Pervasive, and Cloud Computing - 15th International Conference, 2020

An Improved Leaky-ESN for Electricity Load Forecasting.

Qiaoying Lin, Fangwan Huang, Zhiyong Yu, Li Li

Proceedings of the Green, Pervasive, and Cloud Computing - 15th International Conference, 2020

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

Li Li, Fangwan Huang, Zhiyong Yu

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.

Dehao Lei, Zhiyong Yu, Peiguan Li, Lei Han, Fangwan Huang

Proceedings of the Green, Pervasive, and Cloud Computing - 15th International Conference, 2020

2019

Power Load Prediction Based On An Improved Clock-Work RNN.

Fangwan Huang, Shijie Zhuang, Zhiyong Yu

Proceedings of the 2019 IEEE SmartWorld, 2019

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

Guanyi Yang, Ryan Benton, Glen M. Borchert, Bin Ma, Jingshan Huang, Xiuyu Leng, Fangwan Huang, Mohan Vamsi Kasukurthi, Yulong Huang, Dongqi Li, Jingwei Lin, Shaobo Tan, Guiying Lu

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Electric Load Forecasting Based on Sparse Representation Model.

Fangwan Huang, Xiangping Zheng, Zhiyong Yu, Guanyi Yang, Wenzhong Guo

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.

Bin Wu, Jingshan Huang, Mohan Vamsi Kasukurthi, Fangwan Huang, Jiang Bian, Keisuke Fukuo, Kazuhisa Suzuki, Gen Yoshino, Tsutomu Kazumi

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017