李洋，助理教授，哲学博士学位（电脑科学），毕业于澳门大学智慧城市物联网国家重点实验室。主要从事人工智能专业的科研和教学工作，研究方向主要有云边协同智能、语义通信、强化学习等。在移动计算顶级期刊TMC、无线通信顶级期刊TWC、大数据顶级期刊TBD、网络科学与工程期刊TNSE、可持续计算期刊等国际一流期刊和会议上发表论文15余篇。发表在大数据TBD期刊论文为高被引论文，且获得2023年广东省计算机协会优秀论文奖。发表在国际无线通信与光纤会议论文，获得了2022年第31届Charles Kao最佳会议论文奖。目前，担任多个国际会议的PC成员（Infocom、GlobalCom、MSN、ICC、VTC）和国际期刊的审稿人（TWC、TCOM、TNSE、TVT、IoTJ、ChinaCom等）。谷歌学术主页：https://scholar.google.com.hk/citations?user=TZ9xBoYAAAAJ&hl=zh-CN.代表论文：[1] Yang Li, C. Dou, Y Wu, W. Jia and R. Lu, "NOMA Assisted Two-Tier VR Content Transmission: A Tile-Based Approach for QoE Optimization," IEEE Transactions on Mobile Computing, vol. 23, no. 5, pp. 3769-3784, May 2024. (CCF-A，SCI一区，IF=7.7)[2] Yang Li, Y. Wu, Y. Song, L. Qian and W. Jia, “Dynamic User-Scheduling and Power Allocation for SWIPT Aided Federated Learning: A Deep Learning Approach,” IEEE Transactions on Mobile Computing, vol. 22, no. 7, pp. 4296-4312, 2023. (CCF-A，SCI一区, IF=7.7)[3] Yang Li, Y. Wu, M. Dai, B. Lin, Weijia Jia and Xuemin Shen, “Hybrid NOMA-FDMA Assisted Dual Computation Offloading: A Latency Minimization Approach,” IEEE Transactions on Network Science and Engineering, vol. 9, no. 5, pp.3345-3360, 2022. (SCI一区，IF=6.7)[4] Yang Li, T. Wang, Y. Wu and W. Jia “Optimal dynamic spectrum allocation assisted latency minimization for multiuser mobile edge computing,” Digital Communications and Networks, vol. 8, no.3,pp.274-256, 2022. (SCI一区, IF=7.5)[5] Yang Li, Y. Wu, S. Bi, L. Qian, Tony Q. S. Quek, C. Xu and Z. Shi, “Two-Tier Multi-Access Partial Computation Offloading via NOMA: A Hybrid Deep Learning Approach for Energy Minimization,” 2022 31st Wireless and Optical Communications Conference (WOCC), 2022, pp. 138-143. (EI，最佳论文奖)[6] Yang Li, Y. Wu and W. Jia, “Dynamic Spectrum Allocation Enabled Multiuser Latency Minimization in Mobile Edge Computing,” 2020 16th International Conference on Mobility, Sensing and Networking (MSN), 2020, pp. 161-168. (EI，CCF-C)[7] J. Yu, Yang Li, B. Sun, Y. Wu and D. Tsang, “IRS Assisted NOMA Aided Mobile Edge Computing with Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning,” IEEE Transactions on Wireless Communications, vol. 22, no. 7, pp. 4296-4312, 2023. (CCF-B，SCI一区，IF=8.9)[8] T. Wang, Yang Li, W. Fang, W. Xu, J. Liang, Y. Chen, X. Liu, “A comprehensive trustworthy data collection approach in sensor-cloud systems,” IEEE Transactions on Big Data, vol. 8, no. 1, pp. 140-151, 2022. (SCI一区，ESI高被引，IF=7.5)[9] T. Wang, Yang Li, G. Wang, J. Cao, MZA Bhuiyan, W. Jia, “Sustainable and efficient data collection from WSNs to cloud,” IEEE Transactions on Sustainable Computing, vol. 4, no. 2, pp. 252-262, 2019. (SCI二区，IF=3)[10] 王田, 李洋, 贾维嘉, 等. “传感云安全研究进展,” 通信学报, 2018, 39(3): 1-18. (CCF-T1类，通信学会T1级)[11] T. Wang, Yang Li, Y. Wu and Tony Q. S. Quek, “Secrecy driven Federated Learning via Cooperative Jamming: An Approach of Latency Minimization,” IEEE Transactions on Emerging Topics in Computing, vol. 10, no. 4, pp. 1687-1703, 2022. (SCI一区， IF=5.1)[12] T. Wang, Yang Li, and Y. Wu, “Energy-Efficient UAV Assisted Secure Relay Transmission via Cooperative Computation Offloading,” IEEE Transactions on Green Communications and Networking, vol. 5, no. 4, pp. 1669-1683, 2021. (SCI一区，IF=5.3)招生：欢迎对科研感兴趣的同学加入课题组，可以手把手带入门，咨询请发邮件到liyang23@swjtu.edu.cn.
