Mobile crowdsourcing in smart cities: Technologies, applications, and future challenges X Kong, X Liu, B Jedari, M Li, L Wan, F Xia IEEE Internet of Things Journal 6 (5), 8095-8113, 2019 | 151 | 2019 |
Big trajectory data: A survey of applications and services X Kong, M Li, K Ma, K Tian, M Wang, Z Ning, F Xia IEEE access 6, 58295-58306, 2018 | 100 | 2018 |
Shared subway shuttle bus route planning based on transport data analytics X Kong, M Li, T Tang, K Tian, L Moreira-Matias, F Xia IEEE Transactions on Automation Science and Engineering 15 (4), 1507-1520, 2018 | 98 | 2018 |
A shared bus profiling scheme for smart cities based on heterogeneous mobile crowdsourced data X Kong, F Xia, J Li, M Hou, M Li, Y Xiang IEEE Transactions on Industrial Informatics 16 (2), 1436-1444, 2019 | 51 | 2019 |
CoPFun: An urban co-occurrence pattern mining scheme based on regional function discovery X Kong, M Li, J Li, K Tian, X Hu, F Xia World Wide Web 22, 1029-1054, 2019 | 37 | 2019 |
A transformer-based framework for poi-level social post geolocation M Li, KH Lim, T Guo, J Liu European Conference on Information Retrieval, 588-604, 2023 | 12 | 2023 |
COOC: Visual exploration of co-occurrence mobility patterns in urban scenarios X Kong, M Li, G Zhao, H Zhang, F Xia IEEE Transactions on Computational Social Systems 6 (3), 403-413, 2019 | 9 | 2019 |
VISOS: a visual interactive system for spatial-temporal exploring station importance based on subway data T Tang, X Kong, M Li, J Wang, G Shen, X Wang IEEE Access 6, 42131-42141, 2018 | 9 | 2018 |
Geotagging social media posts to landmarks using hierarchical BERT (student abstract) M Li, KH Lim Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12999 …, 2022 | 5 | 2022 |
FewUser: Few-Shot Social User Geolocation via Contrastive Learning M Li, KH Lim arXiv preprint arXiv:2404.08662, 2024 | | 2024 |
Leveraging Contrastive Learning for Few-shot Geolocation of Social Posts M Li, KH Lim arXiv preprint arXiv:2403.00786, 2024 | | 2024 |