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Fangwan Huang
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- affiliation: Fuzhou University, Fujian, China
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Journal Articles
- 2024
- [j8]Jingbin Wang, Weijie Zhang, Zhiyong Yu, Fangwan Huang, Weiping Zhu, Longbiao Chen:
Route selection for opportunity-sensing and prediction of waterlogging. Frontiers Comput. Sci. 18(4) (2024) - [j7]Xianwei Guo
, Chunyu Tu
, Yongtao Hao, Zhiyong Yu
, Fangwan Huang
, Leye Wang
:
Online User Recruitment With Adaptive Budget Segmentation in Sparse Mobile Crowdsensing. IEEE Internet Things J. 11(5): 8526-8538 (2024) - [j6]Chunyu Tu
, Zhiyong Yu
, Lei Han
, Xianwei Guo
, Fangwan Huang
, Wenzhong Guo
, Leye Wang
:
Adaptive Budgeting for Collaborative Multi-Task Data Collection in Online Sparse Crowdsensing. IEEE Trans. Mob. Comput. 23(7): 7983-7998 (2024) - [j5]Xianwei Guo
, Fangwan Huang
, Dingqi Yang
, Chunyu Tu
, Zhiyong Yu
, Wenzhong Guo
:
Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph- and Attention-Based Approach. IEEE/ACM Trans. Netw. 32(2): 1631-1644 (2024) - 2023
- [j4]Fangwan Huang, Weinan Zheng, Wenzhong Guo, Zhiyong Yu
:
Estimating missing data for sparsely sensed time series with exogenous variables using bidirectional-feedback echo state networks. CCF Trans. Pervasive Comput. Interact. 5(1): 45-63 (2023) - [j3]Fangwan Huang, Shijie Zhuang, Zhiyong Yu, Yuzhong Chen, Kun Guo:
Adaptive Modularized Recurrent Neural Networks for Electric Load Forecasting. J. Database Manag. 34(1): 1-18 (2023) - 2021
- [j2]Zhiyong Yu
, Xiangping Zheng, Fangwan Huang, Wenzhong Guo, Lin Sun, Zhiwen Yu
:
A framework based on sparse representation model for time series prediction in smart city. Frontiers Comput. Sci. 15(1): 151305 (2021) - [j1]Hongju Cheng
, Leihuo Wu, Ruixing Li, Fangwan Huang, Chunyu Tu
, Zhiyong Yu
:
Data recovery in wireless sensor networks based on attribute correlation and extremely randomized trees. J. Ambient Intell. Humaniz. Comput. 12(1): 245-259 (2021)
Conference and Workshop Papers
- 2023
- [c13]Shen Liu, Zhiyong Yu, Fangwan Huang:
Uneven Hybrid Clickstream Generation Based on Multi-Layer Perceptron. CBD 2023: 247-254 - [c12]Huiqin Chen, Fangwan Huang, Xuanyun Liu, Yinli Tan, Dihua Zhang, Dongqi Li, Glen M. Borchert, Ming Tan
, Jingshan Huang:
Evaluating the Use of Large Language Model to Identify Top Research Priorities in Hematology. HealthCom 2023: 66-71 - [c11]Linfeng Xie, Zhiyong Yu, Fangwan Huang, Daoye Zhu:
Recommendations for Urban Planning Based on Non-motorized Travel Data and Street Comfort. SpatialDI 2023: 34-54 - 2022
- [c10]Weifeng Xiong, Fangwan Huang, Zhiyong Yu, Xianwei Guo, Binwei Lin, Qiquan Cai:
Viewing Flowers at their Most Beautiful Moments: A Crowd Sensing Application. MSN 2022: 921-926 - 2021
- [c9]Binwei Lin, Zhiyong Yu, Fangwan Huang, Longkun Guo:
Pool-Based Sequential Active Learning For Regression Based on Incremental Cluster Center Selection. CBD 2021: 176-182 - 2020
- [c8]Juhong Lu, Fangwan Huang, Zhiyong Yu
:
An Improved Sparse Representation Classifier Based on Data Augmentation for Time Series Classification. GPC 2020: 123-130 - [c7]Li Li, Fangwan Huang, Zhiyong Yu
:
Echo State Network Based on L0 Norm Regularization for Chaotic Time Series Prediction. GPC 2020: 145-152 - [c6]Dehao Lei, Zhiyong Yu
, Peiguan Li, Lei Han, Fangwan Huang:
Using Deep Active Learning to Save Sensing Cost When Estimating Overall Air Quality. GPC 2020: 189-204 - [c5]Qiaoying Lin, Fangwan Huang, Zhiyong Yu
, Li Li:
An Improved Leaky-ESN for Electricity Load Forecasting. GPC 2020: 257-269 - 2019
- [c4]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:
Use CPET data to predict the intervention effect of aerobic exercise on young hypertensive patients. BIBM 2019: 1699-1702 - [c3]Fangwan Huang, Shijie Zhuang, Zhiyong Yu
:
Power Load Prediction Based On An Improved Clock-Work RNN. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 596-601 - 2018
- [c2]Fangwan Huang, Xiangping Zheng, Zhiyong Yu
, Guanyi Yang, Wenzhong Guo:
Electric Load Forecasting Based on Sparse Representation Model. GPC 2018: 357-369 - 2017
- [c1]Bin Wu
, Jingshan Huang, Mohan Vamsi Kasukurthi, Fangwan Huang, Jiang Bian, Keisuke Fukuo, Kazuhisa Suzuki, Gen Yoshino, Tsutomu Kazumi:
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. BIBM 2017: 463-468
Coauthor Index
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last updated on 2024-08-07 22:29 CEST by the dblp team
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