个人主页：http://wuwenustc.github.io/
个人简介：
吴稳博士是尊龙凯时 - 人生就是搏!数学与理论部智能网络基础研究室副研究员、IEEE高级会员、中国通信学会高级会员。2012年6月吴博士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，宽带通信尊龙凯时 - 人生就是搏!（BBCR Lab），获工学博士学位，导师 Xuemin (Sherman) Shen教授（中国工程院外籍院士、加拿大三院院士、IEEE通信学会主席）；加入尊龙凯时 - 人生就是搏!之前，吴博士于加拿大滑铁卢大学电子工程与计算机科学系担任博士后研究员。吴博士于2022年获选尊龙凯时 - 人生就是搏!首批“特聘岗位”。
吴博士的科研集中于智能网络、网络虚拟化和车联网，包括深度强化学习、分布式机器学习、网络优化、网络切片等。参与/负责科研项目3项，负责由加拿大华为研究中心和加拿大基金委联合资助的6G重点项目1项，参与加拿大基金委项目1项和国家重点研发计划（战略性国际合作重点专项）1项。吴博士出版英文学术专著1部，出版英文学术专著章节3章，申请加拿大专利2项，在ACM/IEEE期刊与会议共发表论文50余篇，其中Transaction系列会刊长文23篇，包括IEEE JSAC, IEEE TWC, IEEE TII, IEEE TVT等通信领域顶级期刊。其成果入选ESI热点论文1篇、ESI高被引论文1篇、IEEE JSAC/IEEE COMST等最受欢迎论文6篇、IEEE COMST主编邀稿论文1篇、IEEE OJVT主编邀稿论文1篇。吴博士谷歌学术累计引用1,100余次，h-index指数为17。吴博士担任8个ACM/IEEE期刊/会议的编委/组委，包括：Springer期刊Peer-to-Peer Networking and Applications编委、网络通信领域顶级会议IEEE INFOCOM’22 首席Workshop TPC Chair、Hindawi期刊Wireless Communications and Mobile Computing专刊首席客座编辑、China Communications专刊客座编辑、Frontiers in Internet of Things编委会成员、IEEE IPCCC’21 Workshop Chair、IEEE HPCC’21 Workshop TPC Chair、EAI CollaborateCom’21 Track Chair等。吴博士还担任IEEE JSAC、IEEE JSTSP、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，担任 IEEE ICC’21、IEEE GLOBECOM’21等多个国际会议程序委员会成员。
研究领域：
全网虚拟化：网络切片架构及其管控、网络数字孪生技术、全网虚拟化架构设计研究等。
智能6G网络: 智能高效网络管控、智能网络协议设计、AI服务保障研究等。
智能网络安全：根据隐私保护法规和监管要求，结合人工智能、全网虚拟化开展交叉科学研究。
教育背景：
加拿大滑铁卢大学，电子与计算机工程，博士，2015-2019。导师：Xuemin (Sherman) Shen教授
中国科学技术大学，通信与信息系统，硕士，2012-2015。导师：卫国教授
华南理工大学，信息工程，学士，2008-2012
工作经历：
尊龙凯时 - 人生就是搏!，数学与理论部，副研究员，2021-至今
加拿大滑铁卢大学，电子与计算机工程系，博士后
荣誉与获奖：
IEEE高级会员
中国通信学会高级会员
尊龙凯时 - 人生就是搏!首批特聘岗位
国际期刊Springer Peer-to-Peer Networking and Applications，编委
IEEE INFOCOM 2022 Workshop, Lead Workshop TPC Chair
国际期刊Hindawi Wireless Communications and Mobile Computing, 首席客座编委
China Communications,客座编委
Frontiers in Internet of Things,编委会成员
IEEE HPCC 2022 Workshop, Workshop Co-Chair
EAI CollaborateCom, Track Co-Chair
IEEE IPCCC Workshop, Workshop Chair
IEEE VTC-Fall 2017, Session Chair
代表著作：
预印本：
1. [JSAC] 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,” IEEE Journal on Selected Areas in Communications, submission 2022. (中科院1区，CCF A)
2. [ICCC] 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,” Proc. IEEE/CIC International Conference on Communications in China (ICCC), Foshan, China, submission, 2022.
3. [TWC] Z. Ma, W. Wu, F. Gao, and X. Shen, “Model-Driven Deep Learning for Massive Machine-Type Communications,” IEEE Transactions on Wireless Communications, submission, 2022.
4. [GLOBECOM] 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,” Proc. IEEE GLOBECOM, submission, 2022.
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)
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)
3. Q. Ye and W. Wu, “Network Slicing for 5G Networks and Beyond,” Broadband Communications, Computing, and Control for Ubiquitous Intelligence, pp. 17-34, Editors: L. Cai, B. L. Mark, and J. Pan, Springer, 2022. (ISBN-10: 3030980634, ISBN-13: 9783030980634)
4. Y. Tang and W. Wu, “Routing Algorithms for Heterogeneous Vehicular Networks,” Broadband Communications, Computing, and Control for Ubiquitous Intelligence, pp. 105-124, Editors: L. Cai, B. L. Mark, and J. Pan, Springer, 2022. (ISBN-10: 3030980634, ISBN-13: 9783030980634)
发明专利
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,” Canada, 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, 中科院1区)
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)
3. [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, to appear, 2022.
4. [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.
5. [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.
6. [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.
7. [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.
8. [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.
9. [TVT] R. Ding, J. Chen, W. Wu, J. Liu, F. Gao, and X. Shen, “Packet Routing in UAV Multi-Hop Network: A Multi-agent Deep Reinforcement Learning Approach,” IEEE Transactions on Vehicular Technology, accepted, 2022.
10. [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, Doi: 10.1109/TWC.2021.3108666, 2021.
11. [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.
12. [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.
13. [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.
14. [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.
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.
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.
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.
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.
招聘公告：
1. 博士生/访问博士生招生: 智能网络基础研究室招收招收博士生、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wuw02@watsons-china.com。
2. 研究人员招聘 : 智能网络基础研究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wuw02@watsons-china.com。
