吴稳（English Homepage）

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IEEE高级会员
副研究员, 鹏城实验室
地址：广东省深圳市兴科1街2号，B栋2213室
邮箱: wuw02@pcl.ac.cn, w77wu@uwaterloo.ca
谷歌学术 (1000+引用, h-index: 16)
ResearchGate, 学术简历

博士生招生: 工作室招收招收博士生、访问博士生，研究方向包括：网络智能、网络优化、网络虚拟化、网络安全等。感兴趣的同学请将简历投递到我邮箱。

研究人员招聘 : 工作室常年招收招优秀博士后、研究员序列科研人员、工程师序列科研人员，研究方向包括：网络智能、网络优化、网络虚拟化、网络安全等。感兴趣的请将简历投递到我邮箱。 [招聘链接] [招聘信息]

个人简介

吴稳，男，江西南昌人。2012年6月毕业于华南理工大学信息工程专业，获工学学士学位。2015年6月毕业于中国科学技术大学通信与信息系统专业，获工学硕士学位，导师卫国教授。2019年8月毕业于加拿大滑铁卢大学电子与计算机工程系宽带通信实验室，获博士学位，导师 Xuemin (Sherman) Shen教授（加拿大三院院士）。

主要研究方向包括智能网络、网络虚拟化、车联网。参与加拿大基金委项目2项，国家重点研发计划（战略性国际合作重点专项）1项。在相关领域发表高质量SCI或EI收录论文50余篇，其中IEEE Transaction系列会刊长文22篇，包括IEEE JSAC, IEEE TWC, IEEE TII, IEEE TVT等通信领域顶级期刊，以及IEEE ICC, IEEE Globecom等通信领域旗舰会议；另由施普林格出版社出版的英文专著1部，英文学术专著章节3部，申请美国专利1项。谷歌学术累计引用1,000余次，h-index指数为16。入选鹏城实验室首批特聘岗位、1篇论文入选ESI同领域前千分之一热点论文、1篇论文入选ESI同领域前百分之一高被引论文、6篇论文入选IEEE JSAC等最受欢迎论文、IEEE OJVT和IEEE COMST主编邀稿论文各1篇；担任国际SCI期刊《Peer-to-Peer Networking and Applications》编辑、《Hindawi Wireless Communications and Mobile Computing》首席客座编辑、《China Communications》客座编辑；担任国际会议IEEE INFOCOM’22 Workshop TPC Chair、IEEE IPCCC’21 Workshop Chair、IEEE HPCC’21 Workshop TPC Chair、EAI CollaborateCom’21 Track Chair;曾担任 IEEE ICC’21, IEEE GLOBECOM21 等多个国际会议程序委员会成员，及IEEE JSAC，IEEE/ACM TON，IEEE TMC, IEEE TCOM, IEEE TWC, IEEE TII, IEEE TVT等20多个权威SCI期刊审稿人。

教育经历

工作经历

研究兴趣

学术成果

预印本

  1. [Preprint] W. Wu, M. Li, K. Qu, C. Zhou, X. Shen, W. Zhuang, X. Li, and W. Shi, ‘‘Split Learning over Wireless Networks: Parallel Design and Resource Management," submitted to IEEE Journal on Selected Areas in Communications (JSAC), 2022. (We pioneeringly study the split learning problem over wireless networks)

  1. [Preprint] W. Wu, K. Qu, P. Yang, N. Zhang, X. Shen, and W. Zhuang, ‘‘Cost-Effective Two-Stage Network Slicing for Edge-Cloud Orchestrated Vehicular Networks," submitted to Proc. IEEECIC International Conference on Communications in China (ICCC)/, Foshan, China, 2022.(We investigate the network slicing problem from a two timescale perspective )

  1. [Preprint] Z. Ma, W. Wu, F. Gao, and X. Shen, ‘‘Model-Driven Deep Learning for Massive Machine-Type Communications," ubmitted to IEEE Transactions on Wireless Communications (TWC), 2022. (We pioneeringly propose a model-driven deep learning method for MMTC )

  1. [Preprint] X. Huang, C. Zhou, W. Wu, M. Li, H. Wu, and X. Shen, “Personalized QoE Enhancement for Adaptive Video Streaming: A Digital Twin-Assisted Scheme,” submitted to Proc. IEEE GLOBECOM, Rio de Janeiro, Brazil, 2022. (We leverage digital twin to enhance QoE in video streaming )

英文学术专著

  1. P. Yang, W. Wu, N. Zhang, and X. Shen, “Millimeter-Wave Networks: Beamforming Design and Performance Analysis”, Springer Verlag, 2021 (ISBN-10: 3030886298, ISBN-13: 9783030886295), 169 pages [Amazon Link].

  2. W. Wu, Y. Tang, P. Yang, W. Zhang, and N. Zhang, “Collaborative Deep Neural Network Inference via Mobile Edge Computing”, Broadband Communications, Computing, and Control for Ubiquitous Intelligence, pp. 263-190, Editors: L. Cai, B. L. Mark, and J. Pan, Springer, 2022. (ISBN-10: 3030980634, ISBN-13: 9783030980634) [Book Link]

  3. Q. Ye and W. Wu, “Network Slicing for 5G Networks and Beyond”, Broadband Communications, Computing, and Control for Ubiquitous Intelligence, Springer Book Series on Wireless Networks, pp. 17-34, Editors: L. Cai, B. L. Mark, and J. Pan, Springer, 2022. (ISBN-10: 3030980634, ISBN-13: 9783030980634) [Book Link]

  4. Y. Tang and W. Wu, “Routing Algorithms for Heterogeneous Vehicular Networks”, Broadband Communications, Computing, and Control for Ubiquitous Intelligence, Springer Book Series on Wireless Networks, pp. 17-34, Editors: L. Cai, B. L. Mark, and J. Pan, Springer, 2022. (ISBN-10: 3030980634, ISBN-13: 9783030980634) [Book Link]

美国专利

  1. X. Shen, W. Wu, M. Li, K. Qu, C. Zhou, W. Zhuang, and X. Li, “Systems and Methods for Cluster-Based Parallel Split Learning,” United States, Patent Ref: 92011852PCT01, 2022. Patent Status: Pending.

期刊论文

  1. [COMST] X. Shen, J. Gao, W. Wu, M. Li, C. Zhou, and W. Zhuang, “Holistic Network Virtualization and Pervasive Network Intelligence for 6G,” IEEE Communications Surveys and Tutorials, vol. 24, no. 1, pp. 1-30, 1st. Quart. 2022. (主编邀稿论文) [bib]

  2. [OJVT] X. Shen, J. Gao, W. Wu, K. Lyu, M. Li, W. Zhuang, X. Li, and J. Rao, “AI-assisted Network-slicing based Next-generation Wireless Networks,” IEEE Open Journal of Vehicular Technology, vol. 1, no. 1, pp. 45-66, Jan. 2020. (主编邀稿论文) [bib]

  1. [WCM] W. Wu, C. Zhou, M. Li, H. Wu, H. Zhou, N. Zhang, X. Shen, and W. Zhuang, “AI-Native Network Slicing for 6G Networks,” IEEE Wireless Communications, vol. 29, no. 1, pp. 96–103, Feb. 2022. [bib]

  2. [JSAC] W. Wu, N. Chen, C. Zhou, M. Li, X. Shen, W. Zhuang, and X. Li, “Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning,” IEEE Journal on Selected Areas in Communications, vol. 39 no. 7, pp. 2076–2089, July 2021. [bib]

  3. [TWC] W. Wu, N. Cheng, N. Zhang, P. Yang, W. Zhuang, and X. Shen, “Fast mmwave Beam Alignment via Correlated Bandit Learning,” IEEE Transactions on Wireless Communications, vol. 18, no. 12, pp. 5894-5908, Dec. 2019. [bib]

  4. [TII] W. Wu, P. Yang, W. Zhang, C. Zhou, and X. Shen, “Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning,” IEEE Transactions on Industrial Informatics, vol. 17, no. 7, pp. 4988–4998, July 2021. [bib]

  5. [TVT] W. Wu, N. Cheng, N. Zhang, P. Yang, K. Aldubaikhy, and X. Shen, “Performance Analysis and Enhancement of Beamforming Training in 802.11ad,” IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp. 5293-5306, May 2020. [bib]

  6. [TVT] W. Wu, N. Zhang, N. Cheng, Y. Tang, K. Aldubaikhy, and X. Shen, “Beef up mmWave Dense Cellular Networks with D2D-Assisted Cooperative Edge Caching,” IEEE Transactions on Vehicular Technology, vol. 68, no. 4, pp. 3890-3904, Apr. 2019. [bib]

  7. [TWC] Z. Ma, W. Wu, M. Jian, F. Gao, and X. Shen, “Joint Constellation Design and Multiuser Detection for Grant-Free NOMA,” IEEE Transactions on Wireless Communications, vol. 21, no. 3, pp. 1973–1988, Mar. 2022. [bib]

  8. [JSAC] W. Zhang, D. Yang, W. Wu, H. Peng, N. Zhang, H. Zhang, and X. Shen, “Optimizing Federated Learning in Distributed Industrial IoT: A Multi-Agent Approach,” IEEE Journal on Selected Areas in Communications, vol. 39, no. 12, pp. 3688-3703, Dec. 2021. [bib]

  9. [TWC] C. Zhou, W. Wu, H. He, P. Yang, F. Lyu, N. Cheng, and X. Shen, “Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in Space-Air-Ground Integrated Network,” IEEE Transactions on Wireless Communications, vol. 20, no. 2, pp. 911-925, Feb. 2021. [bib]

  10. [TWC] K. Aldubaikhy, W. Wu, Q. Ye, and X. Shen, “Low-Complexity User Selection Algorithm for Multiuser Transmission in mmWave WLANs,” IEEE Transactions on Wireless Communications, vol. 19, no. 4, pp. 2397-2410, Apr. 2020. [bib]

  11. [WCM] K. Aldubaikhy, W. Wu, N. Zhang, N. Cheng, and X. Shen, “mmWave IEEE 802.11ay for 5G Fixed Wireless Access,” IEEE Wireless Communications Magazine, vol. 27, no. 2, pp. 88-85, Apr. 2020. [bib]

会议论文

  1. [WiOpt] W. Wu, Q. Shen, K. Aldubaikhy, N. Cheng, N. Zhang, and X. Shen, “Enhance the edge with beamforming: Performance analysis of beamforming-enabled WLAN,” in Proc. IEEE WiOpt Workshop, Shanghai, China, 2018. [bib]

  2. [ICC] W. Wu, Q. Shen, M. Wang, and X. Shen, “Performance Analysis of IEEE 802.11.ad Downlink Hybrid Beamforming,” in Proc. IEEE ICC, Paris, France, 2017. [bib]

  3. [ICCCN] W. Wu, X. Li, H. Yin, C. Zhang, and G. Wei, ‘‘A Joint Real Grassmannian Quantization Strategy for MIMO Interference Alignment with Limited Feedback", in Proc. IEEE ICCCN Workshop, Shanghai, China, Aug. 4-7, 2014.

  4. [ICC] J. Chen, R. Ding, W. Wu, J. Liu, F. Gao, and X. Shen, “Multi-Agent Learning Based Packet Routing in Multi-Hop UAV Relay Network”, in Proc. IEEE ICC, Seoul, South Korea, 2022.

  5. [ICC] Z. Ma, W. Wu, F. Gao, and X. Shen, “Multi-Task Learning Aided Joint Constellation Design and Multiuser Detection for GF-NOMA”, in Proc. IEEE ICC, Montreal, Canada, 2021. [bib]

  6. [Globecom] C. Zhou, W. Wu, H. He, P. Yang, F. Lyu, N. Cheng, and X. Shen, “Delay-aware IoT Task Scheduling in Space-air-ground Integrated Network,” in Proc. of IEEE GLOBECOM, Waikoloa, HI, USA, 2019.

  7. [Globecom] K. Aldubaikhy, W. Wu, and X. Shen, “BF-PDVG: Hybrid Beamforming and User Selection for UL MU-MIMO mmWave Systems,” in Proc. IEEE Globecom Workshop, Abu Dhabi, United Arab Emirates, 2018.

社会兼职

期刊编委

会议组织

会议程序委员会成员

分会主席

期刊/会议审稿人

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