AoI-minimal UAV crowdsensing by model-based graph convolutional reinforcement learning Z Dai, CH Liu, Y Ye, R Han, Y Yuan, G Wang, J Tang IEEE INFOCOm 2022-IEEE conference on computer communications, 1029-1038, 2022 | 37 | 2022 |
Benchmarking the text-to-sql capability of large language models: A comprehensive evaluation B Zhang, Y Ye, G Du, X Hu, Z Li, S Yang, CH Liu, R Zhao, Z Li, H Mao arXiv preprint arXiv:2403.02951, 2024 | 11 | 2024 |
Exploring both individuality and cooperation for air-ground spatial crowdsourcing by multi-agent deep reinforcement learning Y Ye, CH Liu, Z Dai, J Zhao, Y Yuan, G Wang, J Tang 2023 IEEE 39th International Conference on Data Engineering (ICDE), 205-217, 2023 | 8 | 2023 |
PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency Z Li, X Wang, J Zhao, S Yang, G Du, X Hu, B Zhang, Y Ye, Z Li, R Zhao, ... arXiv preprint arXiv:2403.09732, 2024 | 7 | 2024 |
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, 2023 | | 2023 |