Jiyao An

A Novel Fuzzy Approach for Combining Uncertain Conflict Evidences in the Dempster-Shafer Theory

Li Fu, Meng Hu, Jiyao An, 2019, IEEE Access.

IGAGCN: Information geometry and attention-based spatiotemporal graph convolutional networks for traffic flow prediction

Wei Liu, Jiyao An, Liang Guo, 2021, Neural Networks.

Self-Constructed Deep Fuzzy Neural Network for Traffic Flow Prediction

Jiyao An, Jin Zhao, Qingqin Liu, 2023, Electronics.

A Novel Fuzzy-Based Convolutional Neural Network Method to Traffic Flow Prediction With Uncertain Traffic Accident Information

Li Fu, Meng Hu, Weihong Chen, 2019, IEEE Access.

Tensor-Train Fuzzy Deep Computation Model for Citywide Traffic Flow Prediction

Guoqi Xie, Jiyao An, Renfa Li, 2019, IEEE Access.

A novel fuzzy deep-learning approach to traffic flow prediction with uncertain spatial–temporal data features

Li Fu, Keqin Li, Md Zakirul Alam Bhuiyan, 2018, Future Generation Computer Systems.

A novel fuzzy deep-learning approach to traffic flow prediction with uncertain spatial–temporal data features

Md Zakirul Alam Bhuiyan, Md. Zakirul Alam Bhuiyan, Renfa Li, 2018, Future Generation Computer Systems.

DGInet: Dynamic graph and interaction-aware convolutional network for vehicle trajectory prediction

Liang Guo, Tao Li, Jiyao An, 2022, Neural Networks.