Yanjie Duan

Do RNN and LSTM have Long Memory?

Zhen Qin, Guodong Li, Jia Lv, 2020, ICML.

A deep learning based approach for traffic data imputation

Yisheng Lv, Yifei Zhao, Wenwen Kang, 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

Generative adversarial networks: introduction and outlook

Fei-Yue Wang, Kunfeng Wang, Chao Gou, 2017, IEEE/CAA Journal of Automatica Sinica.

Traffic Flow Prediction With Big Data: A Deep Learning Approach

Fei-Yue Wang, Yisheng Lv, Zhengxi Li, 2015, IEEE Transactions on Intelligent Transportation Systems.

Managing Emergency Traffic Evacuation With a Partially Random Destination Allocation Strategy: A Computational-Experiment-Based Optimization Approach

Yisheng Lv, Wenwen Kang, Yanjie Duan, 2015, IEEE Transactions on Intelligent Transportation Systems.

Social media based transportation research: the state of the work and the networking

Yisheng Lv, Yuanyuan Chen, Yanjie Duan, 2017, IEEE/CAA Journal of Automatica Sinica.

Performance evaluation of the deep learning approach for traffic flow prediction at different times

Fei-Yue Wang, Yisheng Lv, Yanjie Duan, 2016, 2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI).

An efficient realization of deep learning for traffic data imputation

Fei-Yue Wang, Yisheng Lv, Yanjie Duan, 2016 .

Travel time prediction with LSTM neural network

Fei-Yue Wang, Yisheng Lv, Yanjie Duan, 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).