Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata. - Yao Yao 004; Xiaoping Liu 001; Xia Li 001; Penghua Liu; Ye Hong; Yatao Zhang; Ke Mai (Int. J. Geogr. Inf. Sci., 2017)

Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model. - Yao Yao 004; Xia Li 001; Xiaoping Liu 001; Penghua Liu; Zhaotang Liang; Jinbao Zhang 001; Ke Mai (Int. J. Geogr. Inf. Sci., 2017)

Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data. - Yao Yao 004; Xiaoping Liu 001; Xia Li 001; Jinbao Zhang 001; Zhaotang Liang; Ke Mai; Yatao Zhang (Int. J. Geogr. Inf. Sci., 2017)

STIETR: Spatial-temporal Intelligent E-Taxi Recommendation System Using GPS Trajectories. - Ke Mai; Wei Tu 001; Qingquan Li; Tianzhong Zhao; Yatao Zhang; Haoyu Ye (GeoAI@SIGSPATIAL, 2019)

Functional urban land use recognition integrating multi-source geospatial data and cross-correlations. - Yatao Zhang; Qingquan Li; Wei Tu 001; Ke Mai; Yao Yao 004; Yiyong Chen (Comput. Environ. Urban Syst., 2019)

Identifying synergies in private and public transportation. - Iva Bojic; Dániel Kondor; Wei Tu 001; Ke Mai; Paolo Santi; Carlo Ratti (CoRR, 2020)

A Novel Access Point Placement Method for WiFi Fingerprinting Considering Existing APs. - Baoding Zhou; Wei Tu 001; Ke Mai; Weixing Xue; Wei Ma; Qingquan Li (IEEE Wirel. Commun. Lett., 2020)

Scale Effect on Fusing Remote Sensing and Human Sensing to Portray Urban Functions. - Wei Tu 001; Yatao Zhang; Qingquan Li; Ke Mai; Jinzhou Cao (IEEE Geosci. Remote. Sens. Lett., 2021)

Real-Time Route Recommendations for E-Taxies Leveraging GPS Trajectories. - Wei Tu 001; Ke Mai; Yatao Zhang; Yang Xu 002; Jincai Huang 002; Min Deng; Long Chen 005; Qingquan Li (IEEE Trans. Ind. Informatics, 2021)

Evaluation of Continual Learning Methods for Object Hardness Recognition. - Yiwen Liu; Senlin Fang; Chengliang Liu 004; Jingnan Wang; Ke Mai; Yupo Zhang; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2023)

A Self-supervised Contrastive Learning Method for Grasp Outcomes Prediction. - Chengliang Liu 004; Binhua Huang; Yiwen Liu; Yuanzhe Su; Ke Mai; Yupo Zhang; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2023)

Underwater Object Detection Based on DN-DETR. - Ke Mai; Wen Cheng; Jingnan Wang; Shilan Liu; Yiru Wang; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2023)

Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning. - Wei Tu 001; Haoyu Ye; Ke Mai; Meng Zhou 004; Jincheng Jiang; Tianhong Zhao; Shengao Yi; Qingquan Li (Int. J. Geogr. Inf. Sci., 2024)