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Investigating Suspected Professional Lenders Features Based on Large Scale Judgment Texts of China.

, , , , and . ICCSE, page 274-278. IEEE, (2021)

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Research on Crowd Movement Trajectory Prediction Method Based on Deep Learning., , and . ChinaCom, volume 500 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 390-402. Springer, (2022)Network for AI: Communication-Efficient Federated Learning with MST-based Scheduling and Multi-Aggregation over Optical Networks., , , , , , , and . OFC, page 1-3. IEEE, (2024)Suspect fault screen assisted graph aggregation network for intra-/inter-node failure localization in ROADM-based optical networks., , , , , , , , and . J. Opt. Commun. Netw., 15 (7): C88-C99 (July 2023)Transformers for Remote Sensing: A Systematic Review and Analysis., , , , , , and . Sensors, 24 (11): 3495 (June 2024)Poster: Flexible Scheduling of Network and Computing Resources for Distributed AI Tasks., , , , , , , and . SIGCOMM (Posters and Demos), page 60-62. ACM, (2024)ADMIRE: Demonstration of Collaborative Data-Driven and Model-Driven Intelligent Routing Engine for IP/Optical Cross-Layer Optimization in X-Haul Networks., , , , , and . OFC, page 1-3. IEEE, (2022)Investigating Suspected Professional Lenders Features Based on Large Scale Judgment Texts of China., , , , and . ICCSE, page 274-278. IEEE, (2021)Shared-Protected Backup Paths Assignment with Mode Group Division Multiplexing in Optical Networks., , , , , and . CoRR, (2024)Deep Learning Meets OBIA: Tasks, Challenges, Strategies, and Perspectives., , , , , , , , , and 1 other author(s). CoRR, (2024)Digital-twin-assisted meta learning for soft-failure localization in ROADM-based optical networks., , , , , , , and . J. Opt. Commun. Netw., 16 (7): 11 (2024)