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Rongkun Ye

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2020 – today

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2024
[c4]
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  dblp key:
  - conf/ijcnn/YeLXL24
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Rongkun Ye, Zhiqiang Lv, Zhihao Xu, Jianbo Li:
MT-CNN: A Lightweight Spatial-Temporal Convolutional Neural Network for Deep Learning of Complex Trajectory Distributions based on Area Partitioning. IJCNN 2024: 1-8
2023
[j1]
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Zhaoyu Sheng, Zhiqiang Lv, Jianbo Li, Zhihao Xu, Haokai Sun, Xue Liu, Rongkun Ye:
Taxi travel time prediction based on fusion of traffic condition features. Comput. Electr. Eng. 105: 108530 (2023)
2022
[c3]
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  - conf/icbdt/YeXP22
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Rongkun Ye, Zhihao Xu, Junjie Pang:
DDFM: A Novel Perspective on Urban Travel Demand Forecasting Based on the Ensemble Empirical Mode Decomposition and Deep Learning. ICBDT 2022: 373-379
[c2]
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  - conf/itsc/LiuSY22
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Xue Liu, Haokai Sun, Rongkun Ye:
Prediction of Crowd Flow in Key Areas Based on a Spatial-temporal Convolutional Model. ITSC 2022: 1161-1166
[c1]
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  - conf/wasa/YeLZL22
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Rongkun Ye, Zhiqiang Lv, Aite Zhao, Jianbo Li:
Socially Acceptable Trajectory Prediction for Scene Pedestrian Gathering Area. WASA (1) 2022: 206-215

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