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Modeling Dynamic Patterns Adapted Joint Multidimension Resource Scheduling via Graph Sequence in Optical Data Center Network.

, , , and . ONDM, page 1-5. IEEE, (2020)

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Modeling Dynamic Patterns Adapted Joint Multidimension Resource Scheduling via Graph Sequence in Optical Data Center Network., , , and . ONDM, page 1-5. IEEE, (2020)Improving the Accuracy of Subseasonal Forecasting of China Precipitation With a Machine Learning Approach, , , , , and . Frontiers in Earth Science, (May 2021)A Simple and Effective Usage of Self-supervised Contrastive Learning for Text Clustering., , and . SMC, page 315-320. IEEE, (2021)CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large Language Models., , , , and . CoRR, (2024)NIM: Modeling and Generation of Simulation Inputs Via Generative Neural Networks., , and . WSC, page 584-595. IEEE, (2020)Efficient Hybrid Simulation Optimization via Graph Neural Network Metamodeling., and . WSC, page 3541-3552. IEEE, (2023)Usage of a Graph Neural Network for Large-Scale Network Performance Evaluation., , and . ONDM, page 1-5. IEEE, (2021)Machine Learning Assisted Optical Network Resource Scheduling in Data Center Networks., , , , , and . ONDM, volume 11616 of Lecture Notes in Computer Science, page 204-210. Springer, (2019)DeepCMS3: A Deep Reinforcement Learning Framework for Core, Mode and Spectrum Sequential Scheduling over Optical Transport Network., , , and . ECOC, page 1-4. IEEE, (2020)Self-supervised Document Clustering Based on BERT with Data Augment., and . CoRR, (2020)