Wen Wu’s Homepage (吴稳)
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Welcome
I am an Associate Researcher with the Frontier Research Center in the Peng Cheng Laboratory, Shenzhen, China, since 2021. I received the B.E., M.E., and Ph.D. degrees in EE from South China University of Technology, Guangzhou, China in 2012, the University of Science and Technology of China, Hefei, China in 2015, and the University of Waterloo, Waterloo, Canada in 2019, respectively. I worked as a Postdoctoral Research Fellow in the ECE Department in the University of Waterloo from 2019 to 2021. My research interests include 6G networks, network intelligence, and network virtualization.
招聘和招生
博士后: 常年招收博士后，研究方向无线通信、网络智能、网络虚拟化，年薪50万人民币。详见智能网络基础研究室博士后招聘;
博士生: 团队每年招收鹏城实验室和北航、北邮、哈工大、南科大、华工等高校的联培博士生，详见鹏城实验室招生网站、智能网络基础研究室博士生招生简介;
访问学生: 招收访问博士生、访问硕士生，从事智能网络系统平台搭建、大模型构建等工作;
联系方式：邮件发送简历、成绩单、代表性论文等相关材料至wuw02@pcl.ac.cn;
Recent News
[2025.9] Dr. Wu is named as the Stanford University's World’s Top 2% Scientists in 2025 (consecutive since 2023).
[2025.9] Paper ‘‘Collaborative LLM Inference over LEO Satellite Networks: Model Splitting and Pipeline Parallelism" is accepted to IEEE WCSP. Congratulations to Songge.
[2025.9] Paper ‘‘Adaptive RAN Slicing for Diffusion-based AIGC Services in Mobile Edge Networks" is accepted to IEEE ICCT. Congratulations to Keyuan.
[2025.9] Paper ‘‘Memory-Efficient LLM Fine-Tuning on the Mobile Device via Server Assisted Side Tuning" is accepted to ACM Mobicom Workshop. Congratulations to Liang.
[2025.8] Paper ‘‘Demo: Split-and-Pipeline: Collaborative Large Model Inference on Edge Devices" is accepted to ACM Mobicom Demo. Congratulations to Zuguang.
[2025.8] Invited to serve as the Associate Editor of IEEE Transactions on Mobile Computing (CCF A). Please consider submitting your work!
[2025.8] Paper ‘‘Efficient Channel Estimation for Rotatable Antenna-Enabled Wireless Communication" is accepted to IEEE Wireless Communications Letter. Congratulations to Xue.
[2025.8] Paper ‘‘Privacy-Aware SFL for Resource-Efficient LLM Fine-Tuning over IoT Devices" is accepted to IEEE Internet of Things Journal. Congratulations to Xiaopei.
[2025.7] Paper ‘‘Split-LEO: Efficient AI Model Training over LEO Satellite Networks" is accepted to SCIENCE CHINA Information Sciences (CCF A).
[2025.6] Paper ‘‘AI-assisted Network-slicing based Next-generation Wireless Networks" received prestigious IEEE Vehicular Technology Society OJVT Best Paper Award (only 1 per year).
[2025.6] Paper ‘‘Split Fine-Tuning for Large Language Models in Wireless Networks" is accepted to IEEE Journal of Selected Topics in Signal Processing (IF: 13.7). Congratulations to Songge.
[2025.5] Paper ‘‘LLM-Empowered IoT for 6G Networks: Architecture, Challenges, and Solutions" is accepted to IEEE Internet of Things Magazine. Congratulations to Xiaopei.
[2025.5] Paper ‘‘Efficient Model Training in Edge Networks with Hierarchical Split Learning" is accepted to IEEE TMC (CCF A). Congratulations to Songge.
[2025.4] Paper ‘‘VimGeo: Efficient Cross-View Geo-Localization with Vision Mamba Architecture" is accepted to IJCAI 2025 (CCF A). Congratulations to Jinglin.
[2025.4] Paper ‘‘Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions“ is accepted to IEEE Internet of Things Magazine. Congratulations to Zuguang [pdf].
[2025.3] Paper ‘‘面向低空智联网的智能资源管理关键技术" is accepted to 人工智能. Congratulations to Xiang.
[2025.2] Papers ‘‘Data Enhanced Edge Incremental Learning and Resource Allocation over Wireless Network” and ‘‘Memory-Efficient Split Federated Learning for LLM Fine-Tuning on Heterogeneous Mobile Devices" are accepted to IEEE INFOCOM 2025 Workshop. Congratulations to Jiayi and Xiaopei.
[2025.2] Paper ‘‘WiLLGlass: An Open-Source LLM-Powered Smart Glasses Platform over Wireless Networks” is accepted to IEEE INFOCOM 2025 Demo. Congratulations to Boyi and Yongguang.
[2025.1] Papers ‘‘Edge-Assisted Accelerated Cooperative Sensing for CAVs: Task Placement and Resource Allocation” and ‘‘RingAda: Pipelining Large Model Fine-Tuning on Edge Devices with Scheduled Layer Unfreezing” are accepted to IEEE ICC 2025. Congratulations to Yuxuan and Liang.
[2025.1] Paper ‘‘Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks” is accepted to IEEE Networking Letter. Congratulations to Zuguang. [PDF].
Employment
Associate Researcher, since Nov. 2021
INR Lab (鹏城实验室智能网络基础研究室), Peng Cheng Laboratory, Shenzhen, China
Post-Doctoral Research Fellow, Oct. 2019 - Aug. 2021
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada
Supervisor: Prof. Xuemin (Sherman) Shen
Education
Doctor of Philosophy, Department of Electrical and Computer Engineering, 2015 - 2019
Broadband Communications Research (BBCR) Lab, University of Waterloo, Waterloo, Canada.
Supervisor: Prof. Xuemin (Sherman) Shen
Thesis: Design and Analysis of Beamforming in mmWave Networks
Master of Engineering, Communication and Information Systems, 2012 - 2015
University of Science and Technology of China, Hefei, China
Supervisor: Prof. Guo Wei
Thesis: Interference Alignment with Limited Feedback for Multiuser Interference Networks
Bachelor of Engineering, Information Engineering, 2008-2012
South China University of Technology, Guangzhou, China
Final Year Project: Performance Analysis of Monobit Digital Receivers in UWB Communication Systems
Research Interests
Network AI: LLM for networking, split learning, deep reinforcement learning
Network virtualization: digital twin, network slicing
Award and Recognition
Stanford University World’s Top 2% Scientists, 2023-2025
IEEE Vehicular Technology Society OJVT Best Paper Award (only 1 each year), 2025
USENIX Security Distinguished Paper Award (CCF A), 2024
National Excellent Young Scholar Award (国家级青年人才), 2023
CIC VANET Competition Third-Price Award 2023
CIC Young Elite Scientist (科协青托), 2023
IEEE ComSoc TEA Excellence Camp Runner-Up Award, 2023
IEEE HITC Award for Excellence (Early Career Researcher), 2022
Best Paper Award, IEEE/CIC ICCC, 2022
IEEE Senior Member, 2022
CIC Senior Member, 2022
PCL Distinguished Researcher (Level-C), 2022
FoE Graduate Scholarship Award, University of Waterloo, 2019
Graduate Scholarship, University of Waterloo, 2015-2019
International Doctoral Student Award, University of Waterloo, 2015-2019
Best Speaker Award, ECE Graduate Seminar Series, University of Waterloo, 2015
Guorui Scholarship, China Electronics Technology Corporation 14th Research Institute, 2014
Research Grants
PI, Large Models for 6G Edge Networks, PCL, 3M RMB, 2025.7-2027.6
PI, Distributed Collaborative Technology for Large Models in Edge Network, PCL, 2M RMB, 2025.5-2028.5
PI, Large Model for Communication Signal Classification, 3M RMB, 2024.10-2025.12
PI, Holistic Network Virtualization, Ministry of Science and Technology, 2.5M RMB, 2024.1-2026.12
PI, Holistic Network Virtualization for 6G Networks, China Association of Science and Technology, 2023QNRC001, 300K RMB, 2023-2025
PI, Service-Oriented Network Slicing for Vehicular Networks, NSFC, 62201311, 300K RMB, 2023.1-2025.12
PI, Artificial General Intelligence for 6G Networks, PCL, 1.7M RMB, 2023.6-2025.6
Co-PI, Fundamental Research for Intelligent Networks, PCL, 2021-2024
Participant, Intelligent Routing Theory and Device Design, Ministry of Science and Technology of China, 2019-2022
Participant (Rank 4/7), Proactive User-Centric Networking for Next Generation Wireless Communications, Natural Sciences and Engineering Research Council of Canada (NSERC), 600K CAD, 2019-2022
Participant (Rank 2/10), High Efficiency Wireless LAN MAC Layer Design, Natural Sciences and Engineering Research Council of Canada (NSERC), 300K CAD, 2015-2017
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