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Deep Learning for Intelligent Wireless MAC: Exploiting Real Data Sampled on 2.4GHz Frequency Band., , , , , , , and . CoRR, (2021)Pruning the Unimportant or Redundant Filters? Synergy Makes Better., , , and . IJCNN, page 1-8. IEEE, (2021)Advancing Semi-Supervised Task Oriented Dialog Systems by JSA Learning of Discrete Latent Variable Models., , , , and . SIGDIAL, page 456-467. Association for Computational Linguistics, (2022)Learning-based Autonomous Channel Access in the Presence of Hidden Terminals., , , , , , and . CoRR, (2022)Revisiting Markovian Generative Architectures for Efficient Task-Oriented Dialog Systems., , , , and . CoRR, (2022)Deep Learning Based MAC via Joint Channel Access and Rate Adaptation., , , , , , , and . VTC Spring, page 1-7. IEEE, (2022)UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt., , , , , , and . CoRR, (2023)A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems., , , , and . CoRR, (2022)Variational Latent-State GPT for Semi-supervised Task-Oriented Dialog Systems., , , , , and . CoRR, (2021)Prompt Pool Based Class-Incremental Continual Learning for Dialog State Tracking., , , , , and . ASRU, page 1-8. IEEE, (2023)