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Lingfeng Ming

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2020 – today

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2022
[j2]
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  - journals/is/LiDMLYHZ22
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  - https://dblp.org/rec/journals/is/LiDMLYHZ22
Guohui Li, Ming Dong, Lingfeng Ming, Changyin Luo, Han Yu, Xiaofei Hu, Bolong Zheng:
Deep reinforcement learning based ensemble model for rumor tracking. Inf. Syst. 103: 101772 (2022)
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Bolong Zheng, Lingfeng Ming, Qi Hu, Zhipeng Lü, Guanfeng Liu, Xiaofang Zhou:
Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management. ACM Trans. Intell. Syst. Technol. 13(3): 37:1-37:19 (2022)
2021
[c3]
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  - conf/icde/HuMXCJZ21
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Qi Hu, Lingfeng Ming, Ruijie Xi, Lu Chen, Christian S. Jensen, Bolong Zheng:
SOUP: A Fleet Management System for Passenger Demand Prediction and Competitive Taxi Supply. ICDE 2021: 2657-2660
2020
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  - conf/gis/MingHDZ20
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Lingfeng Ming, Qi Hu, Ming Dong, Bolong Zheng:
An Effective Fleet Management Strategy for Collaborative Spatio-Temporal Searching: GIS Cup. SIGSPATIAL/GIS 2020: 651-654
[i1]
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  - journals/corr/abs-2009-12157
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Bolong Zheng, Qi Hu, Lingfeng Ming, Jilin Hu, Lu Chen, Kai Zheng, Christian S. Jensen:
Spatial-Temporal Demand Forecasting and Competitive Supply via Graph Convolutional Networks. CoRR abs/2009.12157 (2020)

2010 – 2019

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2019
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Qi Hu, Lingfeng Ming, Chengdong Tong, Bolong Zheng:
An Effective Partitioning Approach for Competitive Spatial-Temporal Searching (GIS Cup). SIGSPATIAL/GIS 2019: 620-623

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