温万里，博士，副教授，博士生导师。2019年毕业于东南大学，获工学博士学位，2019至2020年在新加坡科技与设计大学（SUTD）从事博士后工作，2021年1月加入重庆大学微电子与通信工程学院，从事教学科研工作。主要研究方向为全息通信、语义通信、边缘计算、联邦学习等。近5年主持国家自然科学基金（面上、青C）、国家重点研发计划子课题、中国博士后科学基金（一等资助）、中国高等教育学会规划课题（重大课题）等10余项科研和教改项目。发表高水平论文70余篇，申请国家发明专利30项（获权15项），出版技术专著1部，获中国发明协会发明创业创新一等奖、重庆市科技进步一等奖、Wiley威立中国高贡献作者奖。担任多个SCI期刊编委，现指导在读博士/硕士研究生9人，多人获得国家/省部级科研项目资助及竞赛奖励。
Official Homepage:https://faculty.cqu.edu.cn/WanliWen/en/more/377691/jsjjgd/index.htm
ResearchGate:https://www.researchgate.net/profile/Wanli-Wen
Google Scholar:https://scholar.google.com/citations?hl=zh-CN&user=V0zK2_cAAAAJ
博/硕士招生
博士生：信息与通信工程（081000，学术博士）
硕士生：信息与通信工程（081000，学术硕士）；电子信息（085400，专业硕士）
研究方向：
（1）语义通信
研究内容：面向6G海量多模态数据与低时延业务需求，本方向研究“以任务效果为目标”的语义传输与生成式编解码：从语义表示与语义信息度量出发，构建任务驱动的率失真与语义可靠性建模，设计基于Transformer等架构的端到端联合源信道编码与鲁棒传输机制，并在带宽受限、误码/丢包、分布漂移等条件下，对识别、检索、理解、生成等下游任务性能进行可控优化与可复现实证评测，形成面向真实网络环境可验证的算法与系统原型。
（2）联邦大模型
研究内容：本方向聚焦基础模型走向边缘的关键瓶颈，研究在隐私与系统约束下的联邦化持续学习与协同推理：围绕非IID数据、设备异构、通信受限与掉线延迟等现实条件，探索LoRA/Adapter等参数高效微调的联邦优化与个性化机制，结合分层/拆分训练与推理（端-边-云协同）实现可部署、可扩展的训练与推理加速，同时引入安全聚合、差分隐私、鲁棒聚合与异常检测等可信机制，应对投毒/后门等对抗风险，最终以“精度-收敛-通信-时延-隐私/安全”多指标的统一评测为牵引，给出可落地的算法与系统方案。
（3）全息通信
研究内容：面向全息/沉浸式业务（多视角视频、光场/3D表示等）超大数据量与超低交互时延的矛盾，本方向研究“压缩—传输—资源调度—边缘协同渲染/推理”的一体化设计：以几何一致性、视差一致性与时间一致性等物理约束保证重建真实感与舒适度，同时引入语义显著性与QoE感知实现非均匀压缩与自适应传输，在多用户无线场景下通过优化与强化学习方法完成动态资源分配与可靠性保障，并在端到端链路上用带宽、时延、卡顿率与主客观QoE等指标验证系统级收益，支撑沉浸式通信的可用性与可扩展性。
课题组常年欢迎对以上研究方向感兴趣的同学与我联系！请直接发邮件至wanli_wen@cqu.edu.cn，邮件标题请注明：“博士/硕士申请-姓名-本科/硕士学校”。注意附上个人简历、成绩单及其他你认为能展示你能力的材料。期待你的来信！
福利待遇
学术平台一流： 与新加坡科技设计大学（SUTD）、东南大学等国内外顶尖团队保持紧密合作，提供丰富的学术交流甚至海外访问机会。
科研经费充足： 依托国家自然科学基金、国家重点研发计划等项目支持，课题组科研设备先进、算力资源充裕。全力支持学生参加国内外高水平学术会议。
个性化一对一指导： 课题组一般不召开集中式组会，我会提供一对一的学术指导，亲自参与每位研究生课题的各个环节，从选题、方案设计到论文写作与投稿，提供手把手全方位指导。
团队氛围和谐：课题组氛围融洽，不定期组织团建活动，鼓励互助与合作。此外，课题组支持并鼓励学生前往头部企业实习，拓展行业视野。
有竞争力的生活补助： 在学校规定的津贴基础上，课题组将根据个人的科研表现提供额外科研补助。
招生要求
基本要求：具备通信、电子、计算机、自动化、数学等相关专业。具备扎实的数学基础（线性代数、概率论、最优化理论）。熟练掌握至少一种编程语言（MATLAB/Python）。具备良好的英语读写能力，能熟练阅读英文文献。态度端正，懂礼貌，对科研有浓厚兴趣，具备强大的自驱力和探索精神！
加分项：有较强的编程能力，熟悉PyTorch/TensorFlow等深度学习框架。在相关领域发表过学术论文或有科研项目经历。
期刊编委
Journal of Communications and Networks, Editor, 2023-2025.
IET Signal Processing, Academic Editor, since 2023.
IET Information Security, Academic Editor, since 2024.
IET Computers & Digital Techniques, Academic Editor, since 2024.
Journal of Computer Networks and Communications, Academic Editor, since 2023.
Sensors, Guest Editor for Special Issue on "Advanced Mobile Edge Computing in 5G Networks", Nov. 2023 to Aug. 2024.
科研项目
[1] 国家自然科学基金委员会,面上项目, 光场-语义双驱动的全息数据压缩传输与资源调度协同优化, 2026-01-01至2029-12-31, 50万元,在研,主持
[2] 国家自然科学基金委员会,青年科学基金项目（C类）[原青年科学基金项目], 基于位姿和信道预测的全息视频自适应传输机制研究, 2023-01-01至2025-12-31, 30万元,在研,主持
[3] 重庆市人社局,重庆市留学人员回国创业创新支持计划, QoE驱动的全息视频自适应传输技术, 2024-12至2026-11, 5万元,在研,主持
[4] 科技部,国家重点研发计划青年科学家项目, 语义驱动的多模态网络全息通信关键技术, 2023-12至2026-11,300万元,在研,主研（任务负责人，负责经费147万）
[5] 重庆市科学技术局,重庆市技术创新与应用发展专项重点项目, 面向行业应用的5G低时延专网通信系统研发与应用, 2023-01至2024-12，200万元,资助期满,主研（子课题负责人，负责经费30万）
[6] 中国博士后科学基金会,中国博士后科学基金项目（面上项目）, 基于位姿和信道特征的全息视频自适应传输机制研究, 2023-01至2024-12, 12万元,结题,主持（一等资助）
[7] 重庆市科学技术局,重庆市自然科学基金面上项目, 移动边缘网络面向高性能联邦机器学习的用户调度和资源管理研究, 2021-10至2024-09, 10万元,结题,主持（全额资助）
[8] 移动通信国家重点实验室,重点实验室开放基金, 移动边缘面向高性能联邦学习的用户调度和资源优化技术研究, 2022-01至2023-12, 11万元,结题,主持（B类资助）
[9] 重庆市人社局,重庆市留学人员回国创业创新支持计划, 面向高性能联邦边缘学习的用户调度和资源分配研究, 2021-11至2023-11, 8万元,结题,主持（优秀资助）
教改项目
[1] 中国高等教育学会规划课题，多模态大模型视域下的大规模精准教育与智能教学评价耦合体系研究，2024-2026，2万（省部级，重大课题，主持）
[2] 重庆市高等教育学会课题，人工智能视阈下的多维教学质量评价体系研究，2023-2025，0.5万（校级，重点课题，主持）
[3] 产学合作协同育人项目，面向未来智能通信技术的课程资源建设，2024-2026，1万（省部级，主持）
荣誉奖项
Wiley威立中国高贡献作者奖 (2024)
重庆市科技进步一等奖 (2023)
中国发明协会发明创业奖一等奖(2022)
发明专利（授权）
[1] 温万里，李佳渝，林青巧，严吉平，梁靓，贾云健；一种语义驱动的全息内容自适应传输方法，2025-01-15，中国，ZL202510061506.1
[2] 温万里，罗坤，高璋杰，林青巧，李佳渝，贾云健，梁靓；一种基于莫罗包络的群体个性化联邦学习方法，2024-11-04，中国，ZL202411558115.2
[3] 温万里，高璋杰，罗坤，郭蔚然，何超，贾云健，梁靓；一种多功能无人机辅助的异步集群个性化联邦学习方法，2024-11-04，中国，ZL202411558130.7
[4] 温万里，张毅，贾云健;一种面向高性能分层联邦边缘学习的调度与资源分配方法，2023-07-04，中国，ZL202110896173.6
[5] 温万里，贾云健，冯文婷，蒲旭敏;一种UAV蜂群中面向高性能联邦学习的调度和资源分配方法，2022-06-03，中国，ZL202110896186.3
[6] 温万里，罗坤，彭晓玲，贾云健，张雨璐，严吉平，黄震，高璋杰；一种群体个性化联邦学习方法，2023-09-25，中国，ZL202311239858.9
[7] 蒲旭敏，雷田田，温万里，陈前斌;一种面向6G的文本语义通信资源分配方法，2023-12-22，ZL202310727925.5
[8] 蒲旭敏，温万里，冯文婷，陈前斌；移动边缘计算中协同卸载的激励机制与资源分配方法，2022-06-01，中国，ZL202210617639.9
[9] 蒲旭敏，冯文婷，温万里，陈前斌;基于正交频分多址的并行移动边缘计算网络资源分配方法，2022-04-08，中国，ZL202110165759.5
[10] 赵涛，贾云健，周继华，温万里，袁野；无线传感网络主特征提取方法、系统、装置及存储介质，2024-07-31，中国，ZL202411041143.7
[11] 梁靓，张镨丹，武彦飞，贾云健，陈正川，温万里；一种分布式环境下基于挑战-响应模型的可信评估方法，2022-01-13，中国，ZL202210037620.7
[12] 梁靓，魏亚星，李义鑫，贾云健，陈正川，温万里；基于非线性跨代差分进化的花授粉优化方法及实现系统，2022-01-13，中国，ZL202210037226.3
[13] 贾云健，陈志雄，陈正川，温万里；一种基于任务执行代码缓存的移动边缘计算MEC卸载方法，2021-08-20，中国，ZL202110962428.4
[14] 方能炜，张辉，胡小林，郑屹，蒋文英，侯伯，高信波，朱林全，龙萍，温万里，贾云建，罗坤；一种禁飞区约束下的无人机包裹收集路径优化方法，2022-01-21，中国，ZL202210070394.2
[15] 刘兰徽，方能炜，侯伯，朱林全，郑屹，龙萍，高信波，温万里，贾云健，关婷；一种禁飞区约束下的多无人机包裹协作递送路径优化方法，2022-01-21，中国，ZL202210070393.8
学术专著
[1] 贾云健, 温万里. 联邦边缘学习. 北京: 科学出版社, 2025.11. ISBN: 978-7-03-084089-9
发表论文
期刊论文
[1] W. Wen (corresponding author), W. Guo, L. Liang, and Y. Jia, “Semantic-Driven Multi-UAV Cooperative Communication with Joint Positioning and Resource Allocation,” IEEE Wireless Communications Letters, 2026. (Accepted)
[2] K. Luo, L. Liang, W. Wen (corresponding author), Y. Jia and T. Q. S. Quek, "Joint Cargo Delivery and Federated Learning: A Multi-Functional UAV Framework With Asynchronous Group-Personalized Training," IEEE Transactions on Cognitive Communications and Networking, vol. 12, pp. 2858-2873, 2026.
[3] J. Yan, W. Wen (corresponding author), X. Peng, Z. Huang, L. Liang and Y. Jia, "Enhancing Holographic Video Streaming: An Integrated Approach to Adaptive Transmission in Wireless Networks," IEEE Transactions on Cognitive Communications and Networking, vol. 12, pp. 1466-1480, 2026.
[4] X. Wu, L. Liang, Y. Hui, W. Wen and Y. Jia, "Collaborative Deployment of Dual-Band UAV Networks: A Low-Frequency Coverage and THz Enhancement Approach," IEEE Wireless Communications Letters, vol. 15, pp. 535-539, 2026.
[5] Y. Jia, Z. Liu, W. Wen (corresponding author), Q. Li and L. Liang, "Personalized Federated Learning for Cross-Area Vehicle Trajectory Anomaly Detection," IEEE Internet of Things Journal, vol. 12, no. 24, pp. 55957-55960, 15 Dec.15, 2025.
[6] X. Wu, L. Liang, W. Wen, Z. Huang, X. Liu and Y. Jia, "DRL-Based Trajectory Optimization and Computation-Aware Resource Allocation for UAV-Assisted Edge Computing Networks," IEEE Internet of Things Journal, vol. 12, no. 20, pp. 43540-43558, 15 Oct.15, 2025.
[7] Z. Huang, Y. Jia, J. Yan, W. Wen, L. Liang, X., Liu, "Enhancing the Reliability of Multi-User Image Semantic Communication in Wireless Networks," IEEE Internet of Things Journal, vol. 12, no. 20, pp. 43282-43295, 15 Oct.15, 2025.
[8] Y. Jia, J. Yu, L.Liang, F. Fang, W. Wen, "Efficient security service function chaining based on federated learning in edge networks," Computer Communications, vol. 242. 108285, Oct. 2025, doi: https://doi.org/10.1016/j.comcom.2025.108285.
[9] Z. Huang, Y. Jia, W. Wen (corresponding author), L. Liang, J. Yan and N. Jiang, "A Progressive Approach to Joint Source-Channel Coding for Image Super-resolution Task in Semantic Communications," IEEE Wireless Communications Letters, vol. 14, no. 7, pp. 2099-2103, July 2025, doi: 10.1109/LWC.2025.3563231.
[10] J. Yan, Z. Huang, X. Peng, W. Wen (corresponding author), L. Liang and Y. Jia, "Semantic-Driven Adaptive Holographic Content Transmission over A Wireless Network: A Gradient Projection Method-Assisted DRL Approach," IEEE Wireless Communications Letters, vol. 14, no. 7, pp. 2014-2018, July 2025, doi: 10.1109/LWC.2025.3561298.
[11] Y. Jia, Z. Huang, J. Yan, Y. Zhang, K. Luo and W. Wen (corresponding author), "Joint Optimization of Resource Allocation and Data Selection for Fast and Cost-Efficient Federated Edge Learning," IEEE Transactions on Cognitive Communications and Networking, vol. 11, no. 1, pp. 594-606, Feb. 2025.
[12] L. Liang, F. Fang, P. Zhang, Y. Jia and W. Wen, "A Two-Stage Privacy Preservation Framework for Untrusted Platforms in Mobile Crowdsensing," IEEE Transactions on Vehicular Technology, vol. 74, no. 4, pp. 6586-6598, April 2025, doi: 10.1109/TVT.2024.3517747.
[13] Y. Xu, W. Du, L. Deng, Y. Zhang, W. Wen (corresponding author), “Ship target detection in SAR images ased on SimAM attention YOLOv8,” IET Commun. 18, 1428–1436 (2024). https://doi.org/10.1049/cmu2.12837
[14] Y. Wu, L. Liang, Y. Jia and W. Wen, "HFL-TranWGAN: Knowledge-Driven Cross-Domain Collaborative Anomaly Detection for End-to-End Network Slicing," IEEE Transactions on Network and Service Management, vol. 22, no. 1, pp. 760-776, Feb. 2025, doi: 10.1109/TNSM.2024.3471808.
[15] Z. Huang, Y. Jia, Y. Zhang, X. Liu, H. Shen and W. Wen (corresponding author), "Joint Source-Channel Coding for Image Super-Resolution Tasks in Semantic Communications," IEEE Transactions on Vehicular Technology, vol. 73, no. 12, pp. 19034-19039, Dec. 2024, doi: 10.1109/TVT.2024.3442204.
[16] W. Wen, J. Yan, Y. Zhang, Z. Huang, L. Liang and Y. Jia, "Adaptive Cooperative Streaming of Holographic Video Over Wireless Networks: A Proximal Policy Optimization Solution," IEEE Wireless Communications Letters, vol. 13, no. 9, pp. 2387-2391, Sept. 2024, doi: 10.1109/LWC.2024.3415744.
[17] Y. Li, L. Liang, Y. Jia and W. Wen, "Presync: An Efficient Transaction Synchronization Protocol to Accelerate Block Propagation," IEEE Transactions on Network and Service Management, vol. 21, no. 5, pp. 5582-5596, Oct. 2024, doi: 10.1109/TNSM.2024.3432334.
[18] L. Liang, Y. Hui, W. Wen and Y. Jia, "Interference Coordination With Multi-Dimensional Resource Optimization for Terahertz UAV Communications," IEEE Wireless Communications Letters, vol. 13, no. 9, pp. 2467-2471, Sept. 2024, doi: 10.1109/LWC.2024.3419754.
[19] S. Wang, H. Zhao, W. Wen, W. Xia, B. Wang and H. Zhu, "Contract Theory Based Incentive Mechanism for Clustered Vehicular Federated Learning," IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 7, pp. 8134-8147, July 2024, doi: 10.1109/TITS.2024.3376792.
[20] Y. Li, L. Liang, Y. Jia, W. Wen, C. Tang and Z. Chen, "Blockchain for Data Sharing at the Network Edge: Trade-Off Between Capability and Security," IEEE/ACM Transactions on Networking, vol. 32, no. 3, pp. 2616-2630, June 2024, doi: 10.1109/TNET.2024.3364023.
[21] X. Zhong, C. Chen, W. Wen, M. Liu, H. Y. Fu and H. Haas, "Optimization of Surface Configuration in IRS-Aided MIMO-VLC: A BER Minimization Approach," IEEE Photonics Journal, vol. 16, no. 3, pp. 1-12, June 2024, Art no. 7301712, doi: 10.1109/JPHOT.2024.3395894.
[22] X. Pu, T. Lei, W. Wen (corresponding author), and Q. Chen, "Enhancing Communication Efficiency of Semantic Transmission via Joint Processing Technique," IEEE Communications Letters, vol. 28, no. 3, pp. 657-661, March 2024.
[23] M. Siew, S. Sharma, K. Guo, D. Cai, W. Wen, C. Joe-Wong, T. Q. S. Quek, "Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework", IEEE Transactions on Service Computing, vol. 17, no. 1, pp. 82-97, Jan.-Feb. 2024, doi: 10.1109/TSC.2023.3332349.
[24] Y. Jia, Z. Huang, K. Luo and W. Wen (corresponding author), "Lightweight Joint Source-Channel Coding for Semantic Communications," IEEE Communications Letters, vol. 27, no. 12, pp. 3161-3165, Dec. 2023, doi: 10.1109/LCOMM.2023.3329533.
[25] X. Zhou, W. Xia, J. Zhang, W. Wen and H. Zhu, "Joint Optimization of Frame Structure and Power Allocation for URLLC in Short Blocklength Regime," IEEE Transactions on Communications, vol. 71, no. 12, pp. 7333-7346, Dec. 2023, doi: 10.1109/TCOMM.2023.3311451.
[26] W. Wen, X. Peng, C. Chen, Y. Jia, J. Li and H. Haas, "Joint Optimization of Bitrate Selection and Beamforming for Holographic Video Cooperative Streaming in VLC Systems," IEEE Communications Letters, vol. 27, no. 10, pp. 2608-2612, Oct. 2023.
[27] Y. Wu, L. Liang, Y. Jia, W. Wen and Z. Chen, "Slicing Enabled Flexible Functional Split and Multi-dimensional Resource Provisioning in 5G-and-Beyond RAN," IEEE Transactions on Wireless Communications, vol. 23, no. 2, pp. 1213-1227, Feb. 2024, doi: 10.1109/TWC.2023.3287276. .
[28] X. Pu, T. Lei, W. Wen (corresponding author), W. Feng, Z. Wang, Q. Chen, S. Jin, "Incentive Mechanism and Resource Allocation for Collaborative Task Offloading in Energy-Efficient Mobile Edge Computing," IEEE Transactions on Vehicular Technology, vol. 72, no. 10, pp. 13775-13780, Oct. 2023.
[29] X. Lou, W. Xia, W. Wen (corresponding author), H. Zhao (corresponding author), X. Li, B. Wang, “Deep learning based beamforming for MISO systems with dirty‐paper coding,” Electronics Letters, vol. 59, no. 2, e12718, Jan. 2023, doi: 10.1049/ell2.12718.
[30] Z. Tian, Z. Chen, M. Wang, Y. Jia, W. Wen and S. Jin, "Reconfigurable Intelligent Surface-Assisted Secondary Communication System Coexisting With Multiple Primary Networks," IEEE Transactions on Cognitive Communications and Networking, vol. 9, no. 1, pp. 170-184, Feb. 2023, doi: 10.1109/TCCN.2022.3218789.
[31] W. Wen, K. Luo, L. Liu, Y. Zhang and Y. Jia, "Joint Trajectory and Pick-Up Design for UAV-Assisted Item Delivery Under No-Fly Zone Constraints," IEEE Transactions on Vehicular Technology, vol. 72, no. 2, pp. 2587-2592, Feb. 2023, doi: 10.1109/TVT.2022.3211990.
[32] J. Xie, Y. Jia, W. Wen, Z. Chen and L. Liang, "Dynamic D2D Multihop Offloading in Multi-Access Edge Computing From the Perspective of Learning Theory in Games," IEEE Transactions on Network and Service Management, vol. 20, no. 1, pp. 305-318, Mar. 2023, doi: 10.1109/TNSM.2022.3201470.
[33] C. Chen, R. Zheng, W. Wen, M. Liu, P. Du, Y. Yang, X. Ruan, "Hybrid 3DMA for multi-user MIMO-VLC," Journal of Optical Communications and Networking,” vol. 14, no. 10, pp. 780-791, Oct. 2022, doi: 10.1364/JOCN.468749.
[34] B. Qin, W. Wen (corresponding author), M. Liu, Y. Zhang, C. Chen, “Indoor MIMO-VLC Using Angle Diversity Transmitters,” Sensors, vol. 22, no. 14, pp. 5436, Jul. 2022, doi: 10.3390/s22145436.
[35] W. Wen, Y. Zhang, C. Chen, Y. Jia, L. Luo and L. Tang, "Quality- and Availability-Based Device Scheduling and Resource Allocation for Federated Edge Learning," IEEE Communications Letters, vol. 26, no. 11, pp. 2626-2630, Nov. 2022, doi: 10.1109/LCOMM.2022.3194558.
[36] J. Qian, Y. Lu, W. Wen and S. Wang, "An Efficient Spectrum Sharing Strategy for Radar and Communication With Space-Time Design," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 69, no. 11, pp. 4626-4630, Nov. 2022, doi: 10.1109/TCSII.2022.3194412.
[37] Z. Chen, Z. Chen, Z. Ren, L. Liang, W. Wen and Y. Jia, "Joint optimization of task caching, computation offloading and resource allocation for mobile edge computing," China Communications, vol. 19, no. 12, pp. 142-159, Dec. 2022, doi: 10.23919/JCC.2022.00.002.
[38] W. Wen, Z. Chen, H. H. Yang, W. Xia and T. Q. S. Quek, "Joint Scheduling and Resource Allocation for Hierarchical Federated Edge Learning," IEEE Transactions on Wireless Communications, vol. 21, no. 8, pp. 5857-5872, Aug. 2022, doi: 10.1109/TWC.2022.3144140.
[39] W. Wen, Y. Jia and W. Xia, "Joint scheduling and resource allocation for federated learning in SWIPT-enabled micro UAV swarm networks," China Communications, vol. 19, no. 1, pp. 119-135, Jan. 2022, doi: 10.23919/JCC.2022.01.010.
[40] Y. Jia, Y. Zhang, K. Luo, and W. Wen (corresponding author), “Drone-Fleet-Enabled Logistics: A Joint Design of Flight Trajectory and Package Delivery,” Sensors, vol. 22, no. 8, pp. 3056, Apr. 2022, doi: 10.3390/s22083056.
[41] B. Xu, W. Xia, W. Wen (corresponding author), P. Liu, H. Zhao (corresponding author) and H. Zhu, "Adaptive Hierarchical Federated Learning Over Wireless Networks," IEEE Transactions on Vehicular Technology, vol. 71, no. 2, pp. 2070-2083, Feb. 2022, doi: 10.1109/TVT.2021.3135541.
[42] Y. Nie, J. Chen, W. Wen, M. Liu, X. Deng, and C. Chen, “Orthogonal Subblock Division Multiple Access for OFDM-IM-Based Multi-User VLC Systems,” Photonics, vol. 9, no. 6, pp. 373, May 2022, doi: 10.3390/photonics9060373.
[43] T. Zhang, J. Zhou, Z. Chen, Z. Tian, W. Wen, Y. Jia, “Information freshness optimization of multiple status update streams in Internet of things: Generation rate control and service rate reservation,” Digital Communications and Networks, vol. 9, no. 4, pp. 971-980, May 2022, doi: 10.1016/j.dcan.2022.05.001.
[44] X. Pu, W. Feng, W. Wen (corresponding author) and Q. Chen, "Energy-Efficient Parallel Multi-Access Edge Computing in OFDMA Wireless Networks," IEEE Transactions on Vehicular Technology, vol. 70, no. 9, pp. 9613-9618, Sept. 2021, doi: 10.1109/TVT.2021.3089222.
[45] W. Xia, W. Wen, K. -K. Wong, T. Q. S. Quek, J. Zhang and H. Zhu, "Federated-Learning-Based Client Scheduling for Low-Latency Wireless Communications," IEEE Wireless Communications, vol. 28, no. 2, pp. 32-38, Apr. 2021, doi: 10.1109/MWC.001.2000252.
[46] Y. Fu, L. Salaün, X. Yang, W. Wen and T. Q. S. Quek, "Caching Efficiency Maximization for Device-to-Device Communication Networks: A Recommend to Cache Approach," IEEE Transactions on Wireless Communications, vol. 20, no. 10, pp. 6580-6594, Oct. 2021, doi: 10.1109/TWC.2021.3075278.
[47] X. Yang, Y. Fu, W. Wen, T. Q. S. Quek and Z. Fei, "Mixed-Timescale Caching and Beamforming in Content Recommendation Aware Fog-RAN: A Latency Perspective," IEEE Transactions on Communications, vol. 69, no. 4, pp. 2427-2440, Apr. 2021, doi: 10.1109/TCOMM.2020.3044074.
[48] Y. Fu, Q. Yu, T. Q. S. Quek and W. Wen, "Revenue Maximization for Content-Oriented Wireless Caching Networks (CWCNs) With Repair and Recommendation Considerations," IEEE Transactions on Wireless Communications, vol. 20, no. 1, pp. 284-298, Jan. 2021, doi: 10.1109/TWC.2020.3024644.
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[52] W. Wen, C. Liu, Y. Fu, T. Q. S. Quek, F. -C. Zheng and S. Jin, "Enhancing Physical Layer Security of Random Caching in Large-Scale Multi-Antenna Heterogeneous Wireless Networks," IEEE Transactions on Information Forensics and Security, vol. 15, pp. 2840-2855, Dec. 2020, doi: 10.1109/TIFS.2020.2976961.
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[54] Y. Fu, W. Wen (corresponding author), Z. Zhao, T. Q. S. Quek, S. Jin and F. -C. Zheng, "Dynamic Power Control for NOMA Transmissions in Wireless Caching Networks," IEEE Wireless Communications Letters, vol. 8, no. 5, pp. 1485-1488, Oct. 2019, doi: 10.1109/LWC.2019.2923410.
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会议论文
[57] W. Wen, J. Yan, Y. Zhang, Z. Huang, L. Liang and Y. Jia, "Adaptive Coordinated Multicast for Holographic Video Streaming Over Wireless Networks: A Deep Reinforcement Learning Approach," GLOBECOM 2024 - 2024 IEEE Global Communications Conference, Cape Town, South Africa, 2024, pp. 5447-5452, doi: 10.1109/GLOBECOM52923.2024.10901177.
[58] Z. Huang, W. Wen, Y.; L. Liang, J. Yan, and Q. Lin, "Joint Source-Channel Coding for Image Semantic Communications: A Parallel Processing Approach," 2024 10th International Conference on Computer and Communications (ICCC), Chengdu, China, 2024, pp. 2400-2405, doi: 10.1109/ICCC62609.2024.10941878.
[59] X. Wu, L. Liang, Y. Jia and W. Wen, "Multi-Agent Collaboration for Autonomous Systems Based on Implicit Strategy Prediction and Prioritization," 2024 10th International Conference on Computer and Communications (ICCC), Chengdu, China, 2024, pp. 2047-2052, doi: 10.1109/ICCC62609.2024.10942055.
[60] J. Xie, F. Zheng, W. Wen and Y. Jia, "Price-Based Task Offloading for Load-Imbalance Vehicular Multi -Access Edge Computing," 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), Singapore, Singapore, 2024, pp. 1-6, doi: 10.1109/VTC2024-Spring62846.2024.10683084.
[61] K. Luo, W. Wen, and W. Xia, “Availability-Aware Group-Personalized Federated Learning in Wireless Edge Networks”, 2023 International Conference on Wireless Communications and Signal Processing (WCSP), to appear.
[62] Z. Tian, Z. Chen, M. Wang, Y. Jia and W. Wen, "Reconfigurable Intelligent Surface-Aided Spectrum Sharing Coexisting with Multiple Primary Networks," 2023 IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, United Kingdom, 2023, pp. 1-6, doi: 10.1109/WCNC55385.2023.10118694.
[63] Y. Wu, L. Liang, Y. Jia, Z. Chen and W. Wen, "Slicing Enabled Flexible Functional Split and Resource Provisioning in 5G-and-Beyond RAN," 2023 IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, United Kingdom, 2023, pp. 1-6, doi: 10.1109/WCNC55385.2023.10118844.
[64] L. Lai, F. -C. Zheng, W. Wen, J. Luo and G. Li, "Dynamic Content Caching Based on Actor-Critic Reinforcement Learning for IoT Systems," 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), London, United Kingdom, 2022, pp. 1-6, doi: 10.1109/VTC2022-Fall57202.2022.10013053.
[65] Y. Li, L. Liang, Y. Jia, W. Wen and Z. Chen, "The Capability-Security Trade-Off of Blockchain for Data Sharing at the Network Edge," GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 2188-2193, doi: 10.1109/GLOBECOM48099.2022.10001240.
[66] W. Wen, H. H. Yang, W. Xia and T. Q. S. Quek, "Towards Fast and Energy-Efficient Hierarchical Federated Edge Learning: A Joint Design for Helper Scheduling and Resource Allocation," ICC 2022 - IEEE International Conference on Communications, Seoul, Korea, Republic of, 2022, pp. 5378-5383, doi: 10.1109/ICC45855.2022.9838950.
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