| An efficient prediction-based user recruitment for mobile crowdsensing E Wang, Y Yang, J Wu, W Liu, X Wang IEEE Transactions on Mobile Computing 17 (1), 16-28, 2017 | 212 | 2017 |
| A prediction-based user selection framework for heterogeneous mobile crowdsensing Y Yang, W Liu, E Wang, J Wu IEEE Transactions on Mobile Computing 18 (11), 2460-2473, 2018 | 98 | 2018 |
| Dynamic user recruitment with truthful pricing for mobile crowdsensing W Liu, Y Yang, E Wang, J Wu IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 1113-1122, 2020 | 64 | 2020 |
| Reinforcement learning-based cell selection in sparse mobile crowdsensing W Liu, L Wang, E Wang, Y Yang, D Zeghlache, D Zhang Computer Networks 161, 102-114, 2019 | 62 | 2019 |
| Deep learning-enabled sparse industrial crowdsensing and prediction E Wang, M Zhang, X Cheng, Y Yang, W Liu, H Yu, L Wang, J Zhang IEEE Transactions on Industrial Informatics 17 (9), 6170-6181, 2020 | 61 | 2020 |
| User recruitment for enhancing data inference accuracy in sparse mobile crowdsensing W Liu, Y Yang, E Wang, J Wu IEEE Internet of Things Journal 7 (3), 1802-1814, 2019 | 59 | 2019 |
| Dynamic traffic correlations based spatio-temporal graph convolutional network for urban traffic prediction Y Xu, X Cai, E Wang, W Liu, Y Yang, F Yang Information Sciences 621, 580-595, 2023 | 56 | 2023 |
| Cell selection with deep reinforcement learning in sparse mobile crowdsensing L Wang, W Liu, D Zhang, Y Wang, E Wang, Y Yang 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 42 | 2018 |
| A cost-quality beneficial cell selection approach for sparse mobile crowdsensing with diverse sensing costs Z Zhu, B Chen, W Liu, Y Zhao, Z Liu, Z Zhao IEEE Internet of Things Journal 8 (5), 3831-3850, 2020 | 38 | 2020 |
| Prediction based user selection in time-sensitive mobile crowdsensing W Liu, Y Yang, E Wang, Z Han, X Wang 2017 14th Annual IEEE International Conference on Sensing, Communication …, 2017 | 31 | 2017 |
| Truthful user recruitment for cooperative crowdsensing task: A combinatorial multi-armed bandit approach H Wang, Y Yang, E Wang, W Liu, Y Xu, J Wu IEEE Transactions on Mobile Computing 22 (7), 4314-4331, 2022 | 29 | 2022 |
| Multi-dimensional urban sensing in sparse mobile crowdsensing W Liu, Y Yang, E Wang, L Wang, D Zeghlache, D Zhang IEEE Access 7, 82066-82079, 2019 | 25 | 2019 |
| Truthful incentive mechanism for budget-constrained online user selection in mobile crowdsensing E Wang, H Wang, Y Yang, W Liu IEEE Transactions on Mobile Computing 21 (12), 4642-4655, 2021 | 24 | 2021 |
| Multi-agent reinforcement learning based file caching strategy in mobile edge computing Y Yang, K Lou, E Wang, W Liu, J Shang, X Song, D Li, J Wu IEEE/ACM Transactions on Networking 31 (6), 3159-3174, 2023 | 21 | 2023 |
| Dynamic online user recruitment with (non-) submodular utility in mobile crowdsensing W Liu, Y Yang, E Wang, H Wang, Z Wang, J Wu IEEE/ACM Transactions on Networking 29 (5), 2156-2169, 2021 | 21 | 2021 |
| Trustworthy and efficient crowdsensed data trading on sharding blockchain E Wang, J Cai, Y Yang, W Liu, H Wang, B Yang, J Wu IEEE Journal on Selected Areas in Communications 40 (12), 3547-3561, 2022 | 20 | 2022 |
| Worker selection towards data completion for online sparse crowdsensing W Liu, E Wang, Y Yang, J Wu IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 1509-1518, 2022 | 20 | 2022 |
| Spatiotemporal urban inference and prediction in sparse mobile crowdsensing: A graph neural network approach E Wang, W Liu, W Liu, Y Yang, B Yang, J Wu IEEE Transactions on Mobile Computing 22 (11), 6784-6799, 2022 | 18 | 2022 |
| Phone-to-phone communication utilizing wifi hotspot in energy-constrained pocket switched networks E Wang, Y Yang, J Wu, W Liu IEEE Transactions on Vehicular Technology 65 (10), 8578-8590, 2016 | 18 | 2016 |
| Combinatorial multi-armed bandit based user recruitment in mobile crowdsensing H Wang, Y Yang, E Wang, W Liu, Y Xu, J Wu 2020 17th Annual IEEE International Conference on Sensing, Communication …, 2020 | 16 | 2020 |