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