论文论著（selected）： Refereed Journal Papers (selected) [J1] Q. Li, J. Chen, M. Cheffena, X. Shen, “Channel-Aware Latency Tail Taming in Industrial IoT,” IEEE Trans. on Wireless Commun., vol.22, no. 9, page 6107-6123, 2023. [J2] Q. Li, N. Zhang, M. Cheffena, X. Shen, “Channel-based Optimal Back-off Delay Control in Delay-Constrained Industrial WSNs,” IEEE Trans. on Wireless Commun., vol. 19, no. 1, page 696-711, 2020. [J3] Q. Li, M. Cheffena, “Exploiting Dispersive Power Gain and Delay Spread for Sybil Detection in Industrial WSNs: A Multi-Kernel Approach,” IEEE Trans. on Wireless Commun., vol. 18, no. 3, page 1805-1818, 2019. [J4] Y. Bi, R. Fu, C. Jiang, G. Han, Z. Yin, L. Zhao, Q. Li, “Single Source Cross-Domain Bearing Fault Diagnosis via Multi-Pseudo Domain Augmented Adversarial Domain-Invariant Learning,” IEEE Internet of Things, Early Access, DOI: 10.1109/JIOT.2024.3421326, 2024. [J5] Z. Li, F. Hu, Q. Li, Z. Ling, Z. Chang, and Timo Hamalainen, “AoI-Aware Waveform Design for Cooperative Joint Radar- Communications Systems with Online Prediction of Radar Target Property,” IEEE Trans. on Commun., Early Access, DOI: 10.1109/TCOMM.2024.3392748, 2024. [J6] M. Gao, B. Ai, Y. Niu, Q. Li, Z. Han, Z, Zhong, X. Shen and N. Wang“IRS-Assisted High-Speed Train Communications: Performance Analysis and Optimal Configuration,” IEEE Internet of Things, vol. 10, no. 21, 2023. [J7] B. He, J. Wang, Q. Qi, Q. Ye, Q. Li, J. Liao, X. Shen, “ShuttleBus: Dense Packet Assembling with QUIC Multi-Stream Independent Transfer for Massive IoT,” IEEE Trans. on Mobile Comput., Early Access, DOI: 10.1109/TMC.2023.3345898, 2023.
Refereed Conference Papers (selected) [C1] Q. Li, F. Hu, “Digital Twin-enabled Channel Access Control in Industrial IoT” in Proc. IEEE/CIC ICCC 2024. [C2] Q. Li, M. Li, N. Zhang, F. Hu, “Digital twin-enabled Channel Access and Power Control Optimization in Industrial IoT” in Proc. IEEE Globecom 2024. [C3] Q. Li, M. Li, J. Kang, F. Hu, “Digital twin-based Intrusion Detection in Smart Grid: A Multi-kernel Knowledge Replay Approach” in Proc. IEEE Globecom 2024. [C4] H. Liu, M. Li, F. Gu, Q. Li, W. Zhang, S. Guo, “End-to-end Flow Scheduling Optimization for Industrial 5G and TSN Integrated Networks”, in Proc. IEEE Globecom 2024. [C5] Z, Li, F. Hu, Z. Ling, S. Song, Q. Li, “Sensing-Communication Trade-off in Vehicular Network with Spatially-Spread OTFS Modulation: An AoI-and-CRB-based Power Allocation Scheme”, in Proc. IEEE Globecom 2024. [C6] X. Su, M. Li, Q. Li, C. Chen, S. Guo, X. Wang, “Energy Consumption Prediction for Manufacturing in Industrial IoT Based on Heterogeneous GNN”, in Proc. IEEE/CIC ICCC 2024. [C7] T. Yang, Q. Li, F. Hu, “Intelligent Congestion Control in QUIC for Reliable E2E Communication Network: A Digital Twin-based Approach,” in Proc. IEEE/ICCC 2024. [C8] J. Liao, J. Wen, J. Kang, Y. Zhang, J. Du, Q. Li, W. Zhang, D. Yang, “Optimizing Information Propagation for Blockchain- empowered Mobile AIGC: A Graph Attention Network Approach”, in Proc. IEEE IWCMC 2024. [C9] T. Yang, Q. Li, N. Zhang, L. Zhao, F. Hu, “Efficient Federated Learning in Mobile Vehicular Networks: Intelligent User Selection and Resource Optimization”, in Proc. IEEE VTC 2024. [C10] Z. Li, F. Hu, Q. Li, Z. Chang, T. Hamalainen, “Optimizing Waveform Power Allocation in Cognitive DFRC Systems: An Individual User AoI Preference-Based Approach”, in Proc. IEEE Globcom 2023. [C11] Q. Li, W. Wu, W. Zhang, X. Shen, “Online Traffic Prediction in Multi-RAT Heterogeneous Network: A User-Cybertwin Asynchronous Learning Approach”, in Proc. IEEE PIMRC 2023.
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