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Journal Articles
- 2024
[j8]Wei Tu, Haoyu Ye, Ke Mai, Meng Zhou, Jincheng Jiang, Tianhong Zhao, Shengao Yi
, Qingquan Li:
Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning. Int. J. Geogr. Inf. Sci. 38(2): 216-242 (2024)- 2021
- [j7]Wei Tu, Yatao Zhang, Qingquan Li, Ke Mai, Jinzhou Cao:
Scale Effect on Fusing Remote Sensing and Human Sensing to Portray Urban Functions. IEEE Geosci. Remote. Sens. Lett. 18(1): 38-42 (2021) - [j6]Wei Tu, Ke Mai, Yatao Zhang, Yang Xu, Jincai Huang, Min Deng, Long Chen, Qingquan Li:
Real-Time Route Recommendations for E-Taxies Leveraging GPS Trajectories. IEEE Trans. Ind. Informatics 17(5): 3133-3142 (2021) - 2020
- [j5]Baoding Zhou, Wei Tu, Ke Mai, Weixing Xue, Wei Ma, Qingquan Li:
A Novel Access Point Placement Method for WiFi Fingerprinting Considering Existing APs. IEEE Wirel. Commun. Lett. 9(11): 1799-1802 (2020) - 2019
- [j4]Yatao Zhang, Qingquan Li, Wei Tu, Ke Mai, Yao Yao, Yiyong Chen:
Functional urban land use recognition integrating multi-source geospatial data and cross-correlations. Comput. Environ. Urban Syst. 78 (2019) - 2017
- [j3]Yao Yao, Xia Li, Xiaoping Liu, Penghua Liu, Zhaotang Liang, Jinbao Zhang, Ke Mai:
Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model. Int. J. Geogr. Inf. Sci. 31(4): 825-848 (2017) - [j2]Yao Yao, Xiaoping Liu, Xia Li, Jinbao Zhang, Zhaotang Liang, Ke Mai, Yatao Zhang:
Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data. Int. J. Geogr. Inf. Sci. 31(6): 1220-1244 (2017) - [j1]Yao Yao, Xiaoping Liu, Xia Li, Penghua Liu, Ye Hong, Yatao Zhang, Ke Mai:
Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata. Int. J. Geogr. Inf. Sci. 31(12): 2452-2479 (2017)
Conference and Workshop Papers
- 2023
- [c4]Chengliang Liu, Binhua Huang, Yiwen Liu, Yuanzhe Su, Ke Mai, Yupo Zhang, Zhengkun Yi, Xinyu Wu:
A Self-supervised Contrastive Learning Method for Grasp Outcomes Prediction. RCAR 2023: 737-742 - [c3]Ke Mai, Wen Cheng, Jingnan Wang, Shilan Liu, Yiru Wang, Zhengkun Yi, Xinyu Wu:
Underwater Object Detection Based on DN-DETR. RCAR 2023: 762-767 - [c2]Yiwen Liu, Senlin Fang, Chengliang Liu, Jingnan Wang, Ke Mai, Yupo Zhang, Zhengkun Yi, Xinyu Wu:
Evaluation of Continual Learning Methods for Object Hardness Recognition. RCAR 2023: 823-828 - 2019
- [c1]Ke Mai, Wei Tu, Qingquan Li, Tianzhong Zhao, Yatao Zhang, Haoyu Ye:
STIETR: Spatial-temporal Intelligent E-Taxi Recommendation System Using GPS Trajectories. GeoAI@SIGSPATIAL 2019: 5-8
Informal and Other Publications
- 2023
- [i2]Chengliang Liu, Binhua Huang, Yiwen Liu, Yuanzhe Su, Ke Mai, Yupo Zhang, Zhengkun Yi, Xinyu Wu:
A Self-supervised Contrastive Learning Method for Grasp Outcomes Prediction. CoRR abs/2306.14437 (2023) - 2020
- [i1]Iva Bojic, Dániel Kondor, Wei Tu, Ke Mai, Paolo Santi, Carlo Ratti:
Identifying synergies in private and public transportation. CoRR abs/2009.09659 (2020)
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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