Mobile crowdsensing for data freshness: A deep reinforcement learning approach Z Dai, H Wang, CH Liu, R Han, J Tang, G Wang IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 38 | 2021 |
Ensuring threshold AoI for UAV-assisted mobile crowdsensing by multi-agent deep reinforcement learning with transformer H Wang, CH Liu, H Yang, G Wang, KK Leung IEEE/ACM Transactions on Networking 32 (1), 566-581, 2023 | 29 | 2023 |
Energy-efficient 3D vehicular crowdsourcing for disaster response by distributed deep reinforcement learning H Wang, CH Liu, Z Dai, J Tang, G Wang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 21 | 2021 |
QoI-aware mobile crowdsensing for metaverse by multi-agent deep reinforcement learning Y Ye, H Wang, CH Liu, Z Dai, G Li, G Wang, J Tang IEEE Journal on Selected Areas in Communications 42 (3), 783-798, 2023 | 11 | 2023 |
HiBid: A cross-channel constrained bidding system with budget allocation by hierarchical offline deep reinforcement learning H Wang, B Tang, CH Liu, S Mao, J Zhou, Z Dai, Y Sun, Q Xie, X Wang, ... IEEE Transactions on Computers 73 (3), 815-828, 2023 | 2 | 2023 |
Indoor Periodic Fingerprint Collections by Vehicular Crowdsensing via Primal-Dual Multi-Agent Deep Reinforcement Learning H Yang, Q Zhao, H Wang, CH Liu, G Li, G Wang, J Tang, D Wu IEEE Journal on Selected Areas in Communications, 2024 | 1 | 2024 |