A Deep Learning Framework for Cycling Maneuvers Classification. - Yuanli Gu; Zhuangzhuang Shao; Lingqiao Qin; Wenqi Lu 003; Meng Li (IEEE Access, 2019)

A Spatial and Temporal Combination Model for Traffic Flow: A Case Study of Beijing Expressway. - Wan Liu; Yuanli Gu; Ying Ding; Wenqi Lu 003; Xiaoping Rui; Lu Tao (ICITE, 2020)

An Attention-based Approach for Traffic Conditions Forecasting Considering Spatial-Temporal Features. - Lu Tao; Yuanli Gu; Wenqi Lu 003; Xiaoping Rui; Tian Zhou; Ying Ding (ICITE, 2020)

A Hybrid Short-term Traffic Flow Forecasting Method Based on EMDW-LSSVM. - Shuo Wang; Yuanli Gu; Hideaki Uchida; Hideki Fujii; Shinobu Yoshimura (ITSC, 2020)

A Hybrid Model for Lane-Level Traffic Flow Forecasting Based on Complete Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting. - Wenqi Lu 003; Yikang Rui; Ziwei Yi; Bin Ran; Yuanli Gu (IEEE Access, 2020)

An Improved Bayesian Combination Model for Short-Term Traffic Prediction With Deep Learning. - Yuanli Gu; Wenqi Lu 003; Xinyue Xu; Lingqiao Qin; Zhuangzhuang Shao; Hanyu Zhang (IEEE Trans. Intell. Transp. Syst., 2020)