Rongkun Ye

Orcid: 0000-0002-5240-4125

According to our database1, Rongkun Ye authored at least 5 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
MT-CNN: A Lightweight Spatial-Temporal Convolutional Neural Network for Deep Learning of Complex Trajectory Distributions based on Area Partitioning.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Taxi travel time prediction based on fusion of traffic condition features.
Comput. Electr. Eng., January, 2023

2022
Socially Acceptable Trajectory Prediction for Scene Pedestrian Gathering Area.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

Prediction of Crowd Flow in Key Areas Based on a Spatial-temporal Convolutional Model.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

DDFM: A Novel Perspective on Urban Travel Demand Forecasting Based on the Ensemble Empirical Mode Decomposition and Deep Learning.
Proceedings of the 5th International Conference on Big Data Technologies, 2022


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