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TL;DR Hazard: A Comprehensive Study of Levelsquatting Scams.

, , , , , , , , , , , , and . SecureComm (2), volume 305 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 3-25. Springer, (2019)

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TL;DR Hazard: A Comprehensive Study of Levelsquatting Scams., , , , , , , , , 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)Improving Cross-Domain Chinese Word Segmentation with Word Embeddings., , , , and . NAACL-HLT (1), page 2726-2735. Association for Computational Linguistics, (2019)Linking supplier JIT to flexibility performance: the moderating impact of advanced manufacturing technology and human resource empowerment., , and . Ind. Manag. Data Syst., 121 (11): 2237-2253 (2021)AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning., , , , , , and . INFOCOM, page 1029-1038. IEEE, (2022)Impact of just-in-time (JIT) on supply chain disruption risk: the moderating role of supply chain centralization., , and . Ind. Manag. Data Syst., 122 (7): 1665-1685 (2022)Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation., , , , , , , , , and . CoRR, (2024)End-to-End Argument Mining as Biaffine Dependency Parsing., and . 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., , , , , , and . ICDE, page 205-217. IEEE, (2023)QoI-Aware Mobile Crowdsensing for Metaverse by Multi-Agent Deep Reinforcement Learning., , , , , , and . IEEE J. Sel. Areas Commun., 42 (3): 783-798 (March 2024)PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency., , , , , , , , , and 1 other author(s). CoRR, (2024)