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 008; Jingshan Huang; Mohan Vamsi Kasukurthi; Fangwan Huang; Jiang Bian; Keisuke Fukuo; Kazuhisa Suzuki; Gen Yoshino; Tsutomu Kazumi (BIBM, 2017)

Electric Load Forecasting Based on Sparse Representation Model. - Fangwan Huang; Xiangping Zheng; Zhiyong Yu 001; Guanyi Yang; Wenzhong Guo (GPC, 2018)

Use CPET data to predict the intervention effect of aerobic exercise on young hypertensive patients. - Guanyi Yang; Ryan Benton; Glen M. Borchert; Bin Ma 003; Jingshan Huang; Xiuyu Leng; Fangwan Huang; Mohan Vamsi Kasukurthi; Yulong Huang; Dongqi Li; Jingwei Lin; Shaobo Tan; et al. (BIBM, 2019)

Power Load Prediction Based On An Improved Clock-Work RNN. - Fangwan Huang; Shijie Zhuang; Zhiyong Yu 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Using Deep Active Learning to Save Sensing Cost When Estimating Overall Air Quality. - Dehao Lei; Zhiyong Yu 001; Peiguan Li; Lei Han; Fangwan Huang (GPC, 2020)

Echo State Network Based on L0 Norm Regularization for Chaotic Time Series Prediction. - Li Li; Fangwan Huang; Zhiyong Yu 001 (GPC, 2020)

An Improved Leaky-ESN for Electricity Load Forecasting. - Qiaoying Lin; Fangwan Huang; Zhiyong Yu 001; Li Li (GPC, 2020)

An Improved Sparse Representation Classifier Based on Data Augmentation for Time Series Classification. - Juhong Lu; Fangwan Huang; Zhiyong Yu 001 (GPC, 2020)

Pool-Based Sequential Active Learning For Regression Based on Incremental Cluster Center Selection. - Binwei Lin; Zhiyong Yu 001; Fangwan Huang; Longkun Guo (CBD, 2021)

A framework based on sparse representation model for time series prediction in smart city. - Zhiyong Yu 001; Xiangping Zheng; Fangwan Huang; Wenzhong Guo; Lin Sun 009; Zhiwen Yu 001 (Frontiers Comput. Sci., 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 001 (J. Ambient Intell. Humaniz. Comput., 2021)

Viewing Flowers at their Most Beautiful Moments: A Crowd Sensing Application. - Weifeng Xiong; Fangwan Huang; Zhiyong Yu 001; Xianwei Guo; Binwei Lin; Qiquan Cai (MSN, 2022)

Uneven Hybrid Clickstream Generation Based on Multi-Layer Perceptron. - Shen Liu; Zhiyong Yu 001; Fangwan Huang (CBD, 2023)

Evaluating the Use of Large Language Model to Identify Top Research Priorities in Hematology. - Huiqin Chen 002; Fangwan Huang; Xuanyun Liu; Yinli Tan; Dihua Zhang; Dongqi Li; Glen M. Borchert; Ming Tan; Jingshan Huang (HealthCom, 2023)

Recommendations for Urban Planning Based on Non-motorized Travel Data and Street Comfort. - Linfeng Xie; Zhiyong Yu 001; Fangwan Huang; Daoye Zhu (SpatialDI, 2023)

Adaptive Modularized Recurrent Neural Networks for Electric Load Forecasting. - Fangwan Huang; Shijie Zhuang; Zhiyong Yu 001; Yuzhong Chen; Kun Guo 003 (J. Database Manag., 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 001 (CCF Trans. Pervasive Comput. Interact., 2023)

Online User Recruitment With Adaptive Budget Segmentation in Sparse Mobile Crowdsensing. - Xianwei Guo; Chunyu Tu; Yongtao Hao; Zhiyong Yu 001; Fangwan Huang; Leye Wang (IEEE Internet Things J., 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 001; Wenzhong Guo (IEEE/ACM Trans. Netw., 2024)

Adaptive Budgeting for Collaborative Multi-Task Data Collection in Online Sparse Crowdsensing. - Chunyu Tu; Zhiyong Yu 001; Lei Han; Xianwei Guo; Fangwan Huang; Wenzhong Guo; Leye Wang (IEEE Trans. Mob. Comput., 2024)

Route selection for opportunity-sensing and prediction of waterlogging. - Jingbin Wang; Weijie Zhang; Zhiyong Yu 001; Fangwan Huang; Weiping Zhu 005; Longbiao Chen (Frontiers Comput. Sci., 2024)

Dynamic meta-graph convolutional recurrent network for heterogeneous spatiotemporal graph forecasting. - Xianwei Guo; Zhiyong Yu 001; Fangwan Huang; Xing Chen; Dingqi Yang; Jiangtao Wang 001 (Neural Networks, 2025)