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... von Wu, Bin, Huang, Jingshan, Zhang, Lihua, Kasukurthi, Mohan Vamsi, Huang, Fangwan, Bian, Jiang, Fukuo, Keisuke, Kazumi, Tsutomu

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Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph-and Attention-Based Approach von Guo, Xianwei, Huang, Fangwan, Yang, Dingqi, Tu, Chunyu, Yu, Zhiyong, Guo, Wenzhong

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Dynamic meta-graph convolutional recurrent network for heterogeneous spatiotemporal graph forecasting von Guo, Xianwei, Yu, Zhiyong, Huang, Fangwan, Chen, Xing, Yang, Dingqi, Wang, Jiangtao

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A framework based on sparse representation model for time series prediction in smart city von YU, Zhiyong, ZHENG, Xiangping, HUANG, Fangwan, GUO, Wenzhong, SUN, Lin, YU, Zhiwen

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Adaptive Modularized Recurrent Neural Networks for Electric Load Forecasting von Huang, Fangwan, Zhuang, Shijie, Yu, Zhiyong, Chen, Yuzhong, Guo, Kun

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Data recovery in wireless sensor networks based on attribute correlation and extremely randomized trees von Cheng, Hongju, Wu, Leihuo, Li, Ruixing, Huang, Fangwan, Tu, Chunyu, Yu, Zhiyong

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Route selection for opportunity-sensing and prediction of waterlogging von WANG, Jingbin, ZHANG, Weijie, YU, Zhiyong, HUANG, Fangwan, ZHU, Weiping, CHEN, Longbiao

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Estimating missing data for sparsely sensed time series with exogenous variables using bidirectional-feedback echo state networks von Huang, Fangwan, Zheng, Weinan, Guo, Wenzhong, Yu, Zhiyong

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Online User Recruitment with Adaptive Budget Segmentation in Sparse Mobile Crowdsensing von Guo, Xianwei, Tu, Chunyu, Hao, Yongtao, Yu, Zhiyong, Huang, Fangwan, Wang, Leye

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Minimizing the Cost of Spatiotemporal Searches Based on Reinforcement Learning with Probabilistic States von Han, Lei, Tu, Chunyu, Yu, Zhiyong, Huang, Fangwan, Guo, Wenzhong, Chen, Chao, Yu, Zhiwen

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Data Augmentation for Cardiopulmonary Exercise Time Series of Young Hypertensive Patients Based on Active Barycenter von Huang, Fangwan, Lu, Juhong, Yu, Zhiyong

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Recommendations for Urban Planning Based on Non-motorized Travel Data and Street Comfort von Xie, Linfeng, Yu, Zhiyong, Huang, Fangwan, Zhu, Daoye

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Utilizing Machine Learning Techniques to Predict the Efficacy of Aerobic Exercise Intervention on Young Hypertensive Patients Based on Cardiopulmonary Exercise Testing von Huang, Fangwan, Leng, Xiuyu, Kasukurthi, Mohan Vamsi, Huang, Yulong, Li, Dongqi, Tan, Shaobo, Lu, Guiying, Lu, Juhong, Benton, Ryan G., Borchert, Glen M., Huang, Jingshan

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An Improved Sparse Representation Classifier Based on Data Augmentation for Time Series Classification von Lu, Juhong, Huang, Fangwan, Yu, Zhiyong

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Echo State Network Based on L0 Norm Regularization for Chaotic Time Series Prediction von Li, Li, Huang, Fangwan, Yu, Zhiyong

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Data Completion of Air Quality Index Based on Multi-dimensional Sparse Representation von Cai, Qiquan, Lu, Juhong, Yu, Zhiyong, Huang, Fangwan

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Using Deep Active Learning to Save Sensing Cost When Estimating Overall Air Quality von Lei, Dehao, Yu, Zhiyong, Li, Peiguan, Han, Lei, Huang, Fangwan

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An Improved Leaky-ESN for Electricity Load Forecasting von Lin, Qiaoying, Huang, Fangwan, Yu, Zhiyong, Li, Li

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Electric Load Forecasting Based on Sparse Representation Model von Huang, Fangwan, Zheng, Xiangping, Yu, Zhiyong, Yang, Guanyi, Guo, Wenzhong

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A symmetry-breaking approach of the graph coloring problem with GAs von Fangwan Huang, Guolong Chen

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