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Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning.

Y. Ye, C. Liu, Z. Dai, J. Zhao, Y. Yuan, G. Wang, and J. Tang. ICDE, page 205-217. IEEE, (2023)

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Ying Ye

Ye Chen

Fei Ye

Ye Hu

Wei Ye

Other publications of authors with the same name

TL;DR Hazard: A Comprehensive Study of Levelsquatting Scams.K. Du, H. Yang, Z. Li, H. Duan, S. Hao, B. Liu, Y. Ye, M. Liu, X. Su, G. Liu and 3 other author(s). SecureComm (2), volume 305 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 3-25. Springer, (2019)Linking supplier JIT to flexibility performance: the moderating impact of advanced manufacturing technology and human resource empowerment.M. Suleiman, B. Huo, and Y. Ye. Ind. Manag. Data Syst., 121 (11): 2237-2253 (2021)Improving Cross-Domain Chinese Word Segmentation with Word Embeddings.Y. Ye, W. Li, Y. Zhang, L. Qiu, and J. Sun. NAACL-HLT (1), page 2726-2735. Association for Computational Linguistics, (2019)AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning.Z. Dai, C. Liu, Y. Ye, R. Han, Y. Yuan, G. Wang, and J. Tang. INFOCOM, page 1029-1038. IEEE, (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, C. Liu, R. Zhao, Z. Li, and H. Mao. CoRR, (2024)Impact of just-in-time (JIT) on supply chain disruption risk: the moderating role of supply chain centralization.Y. Ye, M. Suleiman, and B. Huo. Ind. Manag. Data Syst., 122 (7): 1665-1685 (2022)QoI-Aware Mobile Crowdsensing for Metaverse by Multi-Agent Deep Reinforcement Learning.Y. Ye, H. Wang, C. Liu, Z. Dai, G. Li, G. Wang, and J. Tang. IEEE J. Sel. Areas Commun., 42 (3): 783-798 (March 2024)End-to-End Argument Mining as Biaffine Dependency Parsing.Y. Ye, and S. Teufel. EACL, page 669-678. Association for Computational Linguistics, (2021)Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning.Y. Ye, C. Liu, Z. Dai, J. Zhao, Y. Yuan, G. Wang, and J. Tang. ICDE, page 205-217. IEEE, (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 and 1 other author(s). CoRR, (2024)

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Disambiguation of "Ye, Yuxiao"

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Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning.

Please choose a person to relate this publication to

Ying Ye

Ye Chen

Fei Ye

Ye Hu

Wei Ye

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ye, Yuxiao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning.

Please choose a person to relate this publication to

Ying Ye

Ye Chen

Fei Ye

Ye Hu

Wei Ye

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning.