Pattern Recognition for Large-Scale and Incremental Time Series in Healthcare. - Bo Liu 024; Jianqiang Li 002; Ji-Jiang Yang; Jing Bi 001; Rong Li; Yong Li 037 (COMPSAC Workshops, 2016)

Forecasting PM2.5 Concentration Using Spatio-Temporal Extreme Learning Machine. - Bo Liu 024; Shuo Yan; Jianqiang Li 002; Yong Li 037 (ICMLA, 2016)

Exploiting ensemble learning for automatic cataract detection and grading. - Ji-Jiang Yang; Jianqiang Li 002; Ruifang Shen; Yang Zeng; Jian He; Jing Bi 001; Yong Li 037; Qinyan Zhang; Lihui Peng; Qing Wang 003 (Comput. Methods Programs Biomed., 2016)

An Ensembled RBF Extreme Learning Machine to Forecast Road Surface Temperature. - Bo Liu 024; Shuo Yan; Huanling You; Yan Dong; Jianqiang Li 002; Yong Li 037; Jianlei Lang; Rentao Gu (ICMLA, 2017)

Gastric Pathology Image Recognition Based on Deep Residual Networks. - Bo Liu 024; Kelu Yao; Mengmeng Huang; Jiahui Zhang; Yong Li 037; Rong Li (COMPSAC (2), 2018)

Text Implication Recognition Learning with Gated Recurrent Unit. - Guo Xianjing; Yong Li 037 (CSAI/ICIMT, 2018)

Forecasting Road Surface Temperature in Beijing Based on Machine Learning Algorithms. - Bo Liu 024; Libin Shen; Huanling You; Yan Dong; Jianqiang Li 002; Yong Li 037; Jianlei Lang; Rentao Gu (ICCSE, 2018)

Application of Improved BP Neural Network in XAJ with Multiple Water Sources. - Bai Juan; Yong Li 037; Yao Jun (ICDLT, 2018)

An Attention-Based Air Quality Forecasting Method. - Bo Liu 024; Shuo Yan; Jianqiang Li 002; Guangzhi Qu; Yong Li 037; Jianlei Lang; Rentao Gu (ICMLA, 2018)

Comparison of Machine Learning Classifiers for Breast Cancer Diagnosis Based on Feature Selection. - Bo Liu 024; Xingrui Li; Jianqiang Li 002; Yong Li 037; Jianlei Lang; Rentao Gu; Fei Wang 001 (SMC, 2018)

Road surface temperature prediction based on gradient extreme learning machine boosting. - Bo Liu 024; Shuo Yan; Huanling You; Yan Dong; Yong Li 037; Jianlei Lang; Rentao Gu (Comput. Ind., 2018)

Comparison of algorithms for road surface temperature prediction. - Bo Liu 024; Libin Shen; Huanling You; Yan Dong; Jianqiang Li 002; Yong Li 037 (Int. J. Crowd Sci., 2018)

Image Segmentation of Salt Deposits Using Deep Convolutional Neural Network. - Bo Liu 024; Haipeng Jing; Jianqiang Li 002; Yong Li 037; Guangzhi Qu; Rentao Gu (SMC, 2019)

A Sequence-to-Sequence Air Quality Predictor Based on the n-Step Recurrent Prediction. - Bo Liu 024; Shuo Yan; Jianqiang Li 002; Guangzhi Qu; Yong Li 037; Jianlei Lang; Rentao Gu (IEEE Access, 2019)

Discovering multi-dimensional motifs from multi-dimensional time series for air pollution control. - Bo Liu 024; Huaipu Zhao; Yinxing Liu; Suyu Wang; Jianqiang Li 002; Yong Li 037; Jianlei Lang; Rentao Gu (Concurr. Comput. Pract. Exp., 2020)

Automatic text summary generation method based on hybrid model DNM. - Kuan Xu; Bo Liu 024; Jianqiang Li 002; Yong Li 037; Chen HL; Guangzhi Qu (SMC, 2021)

A Spatiotemporal Recurrent Neural Network for Prediction of Atmospheric PM2.5: A Case Study of Beijing. - Bo Liu 024; Shuo Yan; Jianqiang Li 002; Yong Li 037; Jianlei Lang; Guangzhi Qu (IEEE Trans. Comput. Soc. Syst., 2021)

Prediction and analysis of ship traffic flow based on a space-time graph traffic computing framework. - Zhaoxuan Li; Mei Qiang; Yong Li 037; Wang Peng; Yang Yang; Wenlong Hu (EUC, 2022)

DDPM-SKDNet: A Deep Learning Method for ICG Image Classification. - Yuhao Wang; Bo Liu 024; Bin Yang 037; Jianqiang Li 002; Yong Li 037; Yan Pei 001 (SMC, 2023)