Welcome to BBCR-INR

The lab is dedicated to advancing the general field of information science, network theory, artificial intelligence, information security, carring out research on basic theories and key technologies for intelligent 6G networks, and designing scalable, highly reliable, and highly secure intelligent networks.

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Research Interests

Our mission is to conduct impactful research in new broadband communication networks, space-air-ground integrated networks, industrial internet, vehicular networks and others, and play a key role in intelligent manufacturing, smart cities and other important fields, supporting technological innovation in corresponding vertical industries.

About us

6G network virtualization

Network digital twin and network slicing

6G network intelligence

Networking for AI and AI for networking

6G network security

Network security and privacy protection

     

Position Opening

Qualifications

For details, please click here
  • Communication and Information Systems Engineering/Computer/Information Security and other related majors in key universities. Researchers engaged in network communication, artificial intelligence, Internet of Vehicles, digital twins, network security and other fields are preferred.
  • Experience in participating in important national strategic scientific research projects and publishing high-level papers in international important journals and top conferences in the field is preferred. Able to track the cutting-edge development of the discipline at home and abroad, and the ability to complete scientific research projects independently is preferred.
  • Experience in participating in important national strategic scientific research projects and publishing high-level papers in international important journals and top conferences in the field is preferred. Able to track the cutting-edge development of the discipline at home and abroad, and the ability to complete scientific research projects independently is preferred.

Ph.D Student Program

For details, please click here
  • Application method: The program admits a "application-assessment" system.
  • Mode of study: The basic study period is 4 years. The course study is carried out in Lianpei University, and the thesis research is carried out in Pengcheng Laboratory Research topics are selected from major national scientific research tasks.
  • Research direction: for 6G network, develop basic theories and key technologies such as network virtualization, network intelligence, and network security.
  • Mentoring: Each doctoral student is equipped with a joint steering group composed of university supervisors, laboratory supervisors and enterprise supervisors.

Visiting Student Program

We are constantly looking for excellent visiting PhD and master students.

Please contact this email

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Publication

  • Journal Paper
    [WCM’24] J. Zheng, H. Luan, Y. Zhang, G. Li, Z. Su, and W. Wu, “Digital Twin in 6G: Embracing Comprehensive Network Intelligence,” IEEE Wireless Communications (WCM), to appear, 2024.
    [Net’24] S. Zou, M. Liwang, B. Wu, W. Wu, Y. Sun, and W. Ni, ‘‘Intent-Oriented Network Slicing with Hypergraphs," IEEE Network (Network), to appear, 2024.
    [WCM’24] J. Cong, C. You, L. Chen, B. Zheng, Y. Liu, W. Wu, Y. Gong, S. Jin, and R. Zhang, ‘‘Near-field Integrated Sensing and Communication: Opportunities and Challenges," IEEE Wireless Communications (WCM), to appear, 2024.
    [JIoT’24] Z. Huang, P. Yang, C. Zhou, W. Wu, and N. Zhang, “Joint Sensing and Communication for mmWave VR in Metaverse: A Meta-Learning Approach,” IEEE Internet of Things Journal (JIoT), to appear, 2024.
    [WCL’24] X. Xiong, B. Zheng, L. Swindlehurst, J. Tang, and W. Wu, “A New Intelligent Reflecting Surface-Aided Electromagnetic Stealth Strategy,” IEEE Wireless Communications Letters (WCL), to appear, 2024.
    [JIoT’24] H. Jia, Y. Wang, and W. Wu, “Dynamic Resource Allocation for Remote IoT Data Collection in SAGIN,” IEEE Internet of Things Journal (JIoT), to appear, 2024.
    [JIoT’24] W. Jiang, B. Ai, M. Li, W. Wu, Y. Pei, and X. Shen, “Aerial IRSs Assisted Energy-Efficient Task Offloading and Computing,” IEEE Internet of Things Journal (JIoT), to appear.
    [JIoT’24] J. Xue, Y. Xu, W. Wu, T. Zhang, Q. Shen, H. Zhou, and W. Zhuang, “Sparse Mobile Crowdsensing for Cost- Effective Traffic State Estimation with Spatio-Temporal Transformer Graph Neural Network,” IEEE Internet of Things Journal (JIoT), to appear.
    [TWC’24] K. Qu, W. Zhuang, Q. Ye, W. Wu, and X. Shen, ‘‘Model-Assisted Learning for Adaptive Cooperative Perception of Connected Autonomous Vehicles," IEEE Transactions on Wireless Communications (TWC), to appear.
    Conference Paper
    [Globecom’24] K. Shang, S. Liu, J. Tang, X. Cheng, W. Wu, and L. Song, “Joint Slice Switching and Resource Allocation for Energy-Efficient Network Slicing,” in Proc. IEEE Global Communications Conference (Globecom), Cape Town, South Africa, Dec. 8-12, 2024.
    [Globecom’24] X. Shi, G. Li, H. Luan, Z. Su, S. Yu, and W. Wu , “Towards Scalable and Privacy-preserving Data Sharing in Internet of Digital Twins,” in Proc. IEEE Global Communications Conference (Globecom), Cape Town, South Africa, Dec. 8-12, 2024.
    [ICDCS’24] Y. Lu and W. Wu, “Digital Twin Assisted Cross-Layer Resource Scheduling in ORAN System,” in Proc. IEEE ICDCS PhD Student Symposium, New Jersey, USA, July 23-26, 2024.
    [INFOCOM Workshop’24] Z. Li, W. Wu, S. Wu, and W. Wang, “Adaptive Split Learning and Resource Allocation over Energy-Constrained Wireless Edge Networks,” in Proc. IEEE INFOCOM Workshop, Vancouver, Canada, May 20–23, 2024.
    [ICC’24] S. Liu, W. Wu, S. Li, T. Luan, and N. Zhang, “Digital Twin-Assisted Adaptive Preloading for Short Video Streaming,” in Proc. IEEE ICC, Denver, CO, USA, June 9-13, 2024.
    [USENIX Security’24] S. Li, X. Wang, M. Xue, H. Zhu, Z. Zhang, Y. Gao, W. Wu, and X. Shen, “Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with Runtime Code Fault Injection,” in Proc. USENIX Security (Security), 2023.
  • Demo
    【Video】S. Zhang, Z. Li, H. Tu, S. Liu, and W. Wu, “Cluster-HSFL: A Cluster-based Hybrid Split and Federated Learning Architecture”, in Proc. IEEE ComSoc Frontier Networking Symposium, to appear, 2023.
    【Video】X. Wang, S. Li, W. Wu, H. Zhu, and X. Shen, “Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with Runtime Code Fault Injection”, 2023.
    Patents
    发明人: 吴稳, 张颂歌, 刘圣波, 李少锋, “一种基于集群的并行分割学习系统及方法.” 中国发明专利, 202310346644.5, 2023/04/03, 申请中.
    发明人: 任志强, 李少锋, 罗霄, 陈珉, 吴稳, 代明军, “一种基于Kubermetes框架的车联网资源调度系统.“ 中国软件著作, 20231124，申请中.
    发明人: 陈珉, 李少锋, 罗霄, 任志强, 吴稳,“一种基于Kubernetes和强化学习框架的车联网资源调度系统及方法.” 中国发明专利, 20231115, 申请中.
    发明人: 林彬, 胡旭, 卫海超, 吴稳, 吴绍华, 王伟志, “基于低轨卫星星座的端到端通信性能解析模型建立方法.” 中国发明专利, 202310488511.1, 2023/05/04, 申请中.
    Journal Paper
    [JSAC’23] 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, vol. 41, no. 4, pp. 1051-1066, Apr. 2023. ( Popular Paper)
    [JSTSP’23] X. Huang, W. Wu, S. Hu, M. Li, C. Zhou, and X. Shen, “Digital Twin Based User-Centric Resource Management for Multicast Short Video Streaming”, IEEE Journal of Selected Topics in Signal Processing (JSTSP), to appear, 2023.
    [TWC’23] X. Zhuo, W. Wu, L. Tang, F. Qu, and X. Shen, “Value of Information-Based Packet Scheduling Scheme for AUV-Assisted UASNs,” IEEE Transactions on Wireless Communications (TWC), to appear, 2023. 2023.
    [TMC’23] Z. Feng, X. Chen, Q. Wu, W. Wu, X. Zhang, and Q. Huang, “FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout”, IEEE Transaction on Mobile Computing (TMC), to appear, 2023.
    [JIoT’23] J. Lin, P. Yang, W. Wu, N. Zhang, T. Han, and L. Yu, “Learning-Based Query Scheduling and Resource Allocation for Low-Latency Mobile Edge Video Analytics,“ IEEE Internet of Things Journal (JIoT), to appear, 2023.
    [TWC’23] Z. Ma, W. Wu, F. Gao, and X. Shen, “Model-Driven Deep Learning for Massive Machine-Type Communications,” IEEE Transactions on Wireless Communications (TWC), to appear, 2023.
    [JIoT’23] K. Qu, W. Zhuang, W. Wu, M. Li, X. Shen, X. Li, and W. Shi, “Stochastic Cumulative DNN Inference with RL-Aided Adaptive IoT Device-Edge Collaboration,” IEEE Internet of Things Journal (JIoT), to appear.
    [TVT’23] K. Liu, W. Quan, N. Cheng, W. Wu, Z. Xu, L. Guo, D. Gao, and H. Zhang, “Reliable PPO-based Concurrent Multipath Transfer for Time-Sensitive Applications,” IEEE Transactions on Vehicular Technology (TVT), to appear.
    [JIoT’23] W. Jiang, B. Ai, M. Li, W. Wu, and X. Shen, “Average Age of Information Minimization in Aerial IRS-Assisted Data Delivery,” IEEE Internet of Things Journal (JIoT), to appear.
    [JIoT’23] D. Han, Q. Ye, H. Peng, W. Wu, H. Wu, W. Liao, and X. Shen, “Two-Timescale Learning-Based Task Offloading for Remote IoT in Integrated Satellite-Terrestrial Networks”, IEEE Internet of Things Journal (JIoT), to appear.
    Conference Paper
    [VTC-Fall’23] Y. Hu, L. Tang, X. Zhuo, Z. Li, W. Wu, Y. Zhao, and Z. Bu, ‘‘Imaging Based on Communication-Assisted Sensing for UAV-Enabled ISAC", in Proc. IEEE Vehicular Technology (VTC) Fall, Hong Kong, 2023.
    [Globecom’23] X. Zhuo, T. Hu, W. Wu, L. Tang, F. Qu, and X. Shen, ‘‘Multi-AUV Collaborative Data Collection in Integrated Underwater Acoustic Communication and Detection Networks," in Proc. IEEE Global Communications Conference (Globecom), Kuala Lumpur, Malaysia, 2023.
    [ICCC’23] Y. Guo, X. Zhuo, L. Tang, W. Wu, Y. Wei, and F. Qu, ‘‘Neighbor Discovery with Directional Transmission in Integrated Underwater Acoustic Communication and Detection Networks," in Proc. IEEE/CIC International Conference on Communications in China (ICCC) Workshop, Dalian, China, 2023.
    [ICCC’23] Y. Wu, X. Zhuo, L. Tang, W. Wu, and F. Qu, ‘‘Cooperative Coverage Path Planning for AUVs in Integrated Underwater Acoustic Communication and Detection Networks," in Proc. IEEE/CIC International Conference on Communications in China (ICCC), Dalian, China, 2023.
    [PIMRC’23] Z. Huang, P. Yang, W. Wu, and N. Zhang, “Predictive and Robust Field-Of-View Selection for Virtual Reality Video Streaming,” in Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Toronto, Canada, 2023.
    [PIMRC’23] Q. Li, W. Wu, W. Zhang, and X. Shen, “Traffic Prediction in Multi-RAT Heterogeneous Network: A User-Cybertwin Asychronized Learning Approach,” in Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Toronto, Canada, 2023.
    [BSC’23] S. Liu, W. Wu, L. Fu, K. Qu, Q. Ye, W. Zhuang, and X. Shen, “Millimeter Wave Full-Duplex Networks: MAC Design and Throughput Optimization,” in Proc. IEEE Biennial Symposium on Communications (BSC), Montreal, Canada, July 4-7, 2023.
    [BSC’23] J. Hou, P. Yang, T. Qin, and W. Wu, “Edge-Coordinated Collaborative Perception for Connected Autonomous Vehicles Using Point Cloud,” in Proc. IEEE Biennial Symposium on Communications (BSC), Montreal, Canada, July 4-7, 2023.
    [ICDCS’23] X. Huang, W. Wu, and X. Shen, “Digital Twin-Assisted Resource Demand Prediction for Multicast Short Video Streaming,” in Proc. IEEE International Conference on Distributed Computing Systems (ICDCS) PhD Student Symposium, Hong Kong, China, July 18-21, 2023.
    [ICDCS’23] S. Zhang, W. Wu, P. Hu, S. Li, and N. Zhang, “Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks,” in Proc. IEEE International Conference on Distributed Computing Systems (ICDCS) PhD Student Symposium, Hong Kong, China, July 18-21, 2023.
    [ICC’23] S. Li, W. Wu, Y. Meng, J. Li, H. Zhu, and X. Shen, “Data Poisoning Attack against Anomaly Detectorsin Digital Twin-Based Networks,” in Proc. IEEE International Conference on Communications (ICC), Rome, Italy, May 28- June 1, 2023.
    [ICC’23] X. Zhuo, W. Wu, L. Tang, F. Qu, and X. Shen, “Value of Information-Based Packet Scheduling forAUV-Assisted UASNs,” in Proc. IEEE International Conference on Communications (ICC), Rome, Italy, May 28- June 1, 2023.
    [ICC’23] X. Huang, M. Li, W. Wu, C. Zhou, and X. Shen, “Digital Twin-Assisted Collaborative Transcoding forBetter User Satisfaction in Live Streaming,” in Proc. IEEE International Conference on Communications (ICC), Rome, Italy, May 28- June 1, 2023.
  • Patents
    Inventors: 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, International application number: PCT/CA2022/050487, 2022/03/30. Patent Status: Pending.
    Inventors: W. Zhuang, K. Qu, W. Wu, M. Li, X. Shen, and X. Li, ‘‘Systems and Methods for AI Inference". Canada, International Application Number: PCT/CA2022/051493, 2022/10/12. Patent Status: Pending.
    Inventors: 杨鹏, 黄芷璇, 吴稳, “一种基于 VR 用户视点轨迹的毫米波接入点选择方法及系统.” China, 202210819036.7, 2022/07/12, Patent Status: Pending.
    Journal Paper
    [COMST’22] 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. (Editor-in-Chief Invited Paper, 2022 Cover Paper, ESI Highly Cited Paper)
    [WCM’22] 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. (ESI Highly Cited Paper)
    [TWC’22] Z. Mao, F. Hu, W. Wu, H. Wu, and X. Shen, ‘‘Joint Distributed Beamforming and Backscattering for UAV-Assisted WPSNs," IEEE Transactions on Wireless Communications, vol. 22, no. 3, pp. 1510-1522, Mar. 2023.
    [TVT’22] R. Ding, J. Chen, W. Wu, J. Liu, F. Gao, and X. Shen, ‘‘Packet Routing in Dynamic Multi-Hop UAV Relay Network: A Multi-Agent Learning Approach," IEEE Transactions on Vehicular Technology, vol. 71, no. 9, pp. 10059-10072, Sep. 2022.
    [CC’22] Y. Zhang, F. Lyu, P. Yang, W. Wu, and J. Gao (guest editors), “IoT Intelligence Empowered by End-Edge-Cloud Orchestration,” China Communications, vol. 19, no. 7, pp. 152-156, July 2022.
    [IoTJ’22] Y. Wang, S. Wu, J. Jiao, W. Wu, Y. Wang, and Q. Zhang, ‘‘Age-Optimal Transmission Policy with HARQ for Freshness-Critical Vehicular Status Updates in Space-Air-Ground Integrated Networks," IEEE Internet of Things Journal, vol. 9, no. 8, pp. 5719-5729, Apr. 2022.
    [NET’22] D. Yang, K. Gong, J, Ren, W. Zhang, W. Wu, and H. Zhang, ‘‘TC-Flow: Chain Flow Scheduling for Advanced Industrial Applications in Time-Sensitive Networks," IEEE Network Magazine, vol. 36, no. 2, pp. 16-24, Mar. 2022.
    [TVT’22] D. Han, W. Liao, H. Peng, H. Wu, W. Wu, and X. Shen, ‘‘Joint Cache Placement and Cooperative Multicast Beamforming in Integrated Satellite-Terrestrial Networks,“ IEEE Transactions on Vehicular Technology, vol. 71, no. 3, pp. 3131–3143, Mar. 2022.
    [TWC’22] 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.
    [TITS’22] D. Wang, P. Qi, Y. Zhao, C. Li, W. Wu, and Zan Li, ‘‘Covert Wireless Communication with Noise Uncertainty in Space-Air-Ground Integrated Vehicular Networks," IEEE Intelligent Transportation Systems Transactions, vol. 23, no. 3, pp. 2784-2797, Mar. 2022.
    [NET’22] D. Yang, K. Gong, J, Ren, W. Zhang, W. Wu, and H. Zhang, ‘‘TC-Flow: Chain Flow Scheduling for Advanced Industrial Applications in Time-Sensitive Networks," IEEE Network Magazine, vol. 36, no. 2, pp. 16-24, Mar. 2022.
    [NET’22] D. Yang, K. Gong, J, Ren, W. Zhang, W. Wu, and H. Zhang, ‘‘TC-Flow: Chain Flow Scheduling for Advanced Industrial Applications in Time-Sensitive Networks," IEEE Network Magazine, vol. 36, no. 2, pp. 16-24, Mar. 2022.
    Conference Paper
    [ICCC’22] 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,” in Proc. IEEE/CIC International Conference on Communications in China (ICCC), Foshan, China, 2022. (Best Paper Award )
    [GLOBECOM’22] 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,” in Proc. IEEE GLOBECOM, Rio de Janeiro, Brazil, Dec. 4-8, 2022.
    [GLOBECOM’22] J. Xue, T. Zhang, W. Wu, H. Zhou, and X. Shen, ‘‘Sparse Big Data for Vehicular Network Traffic Flow Estimation: A Machine Learning Approach," in Proc. IEEE GLOBECOM, Rio de Janeiro, Brazil, Dec. 4-8, 2022.
    [GLOBECOM’22] C. Wang, P. Yang, J. Lin, W. Wu, and N. Zhang, ‘‘Object-Based Resolution Selection for Efficient Edge-Assisted Multi-Task Video Analytics," in Proc. IEEE GLOBECOM, Rio de Janeiro, Brazil, Dec. 4-8, 2022.
    [ICC’22] 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, May 16–20, 2022.

Team

Wen Wu

Associate Researcher

The co-director of Intelligent Networking Research (INR) Lab

Shaofeng Li

Postdoctoral Fellow

Shengbo Liu

Postdoctoral Fellow

Songge Zhang（Since 2022）

Ph.D

Yuxuan Wang（Since 2022）

Ph.D

Haoyu TU（Since 2022）

Ph.D

Keyuan Shang（Since 2022）

Ph.D

Zhiqiang Ren（Since 2023）

Ph.D

Yongguang Lu（Since 2023）

Ph.D

Zuguang Li（Since 2023）

Ph.D

Xiang Cheng（Since 2023）

Ph.D

Jiayi Cong（Since 2023）

Ph.D

Xue Xiong（Since 2023）

Ph.D

Min Chen

Visiting student

News

Recent news

Paper is accepted

Yongguang Lu

[2024.05] Paper “Digital Twin Assisted Cross-Layer Resource Scheduling in ORAN System" is accepted to IEEE ICDCS 2024. Congratulations to Yongguang.

Book is published

Shaofeng Li

[2024.04] Book “Backdoor Attacks against Deep Learning Based Sensing Algorithms" is published by Springer Verlag. Congratulations to Shaofeng.

Book is published

Shengbo Liu

[2024.04] Book “MAC Protocol Design for Full-duplex Enabled Wireless Networks" is published by Springer Verlag. Congratulations to Shengbo.

Paper is accepted

Zuguang Li

[2024.03] Paper “Adaptive Split Learning and Resource Allocation over Energy-Constrained Wireless Edge Networks” is accepted to IEEE INFOCOM 2024 Workshop. Congratulations to Zuguang.

Paper is accepted

Shengbo Liu

[2024.01] Paper “Digital Twin-Assisted Adaptive Preloading for Short Video Streaming” is accepted to IEEE ICC 2024. Congratulations to Shengbo.

CCF-A paper is accepted

Shaofeng LI

Congratulations to Shaofeng Li on his paper being accepted！（In Proc. of Usenix Security, 2024）

RUNNER-UP AWARD

Songge Zhang, Zuguang Li, Haoyu Tu, Shengbo Liu, and Wen Wu

Congratulations to the team for participating in the IEEE ComSoc Student Project and winning the RUNNER UP AWARD！

Third prize

Songge Zhang, Yuxuan Wang, and Wen Wu

Congratulations to the team to participate in the 2023 China International vehicle Networking Technology Conference vehicle networking contest won the third prize！

Seminar

  • Date Speaker Title Conference
    Feb.22 Jiayi Cong To be determined Group Meeting
    Feb.29 Guoliang Cheng To be determined Group Meeting
    Mar.7 Haoyu Tu To be determined Group Meeting
    Mar.14 Songge Zhang To be determined Group Meeting
    Mar.21 Liang Li To be determined Group Meeting
    Mar.28 Yuxuan Wang To be determined Group Meeting
    Apr.7 Keyuan Shang To be determined Group Meeting
    Apr.11 Zuguang Li To be determined Group Meeting
    Apr.18 Shaofeng Li To be determined Group Meeting
    Apr.25 Shengbo Liu To be determined Group Meeting
    May.9 Qiaohua Ling To be determined Group Meeting
    May.16 Yongguang Lu To be determined Group Meeting
    May.23 Xiang Cheng To be determined Group Meeting
    May.30 Xue Xiong To be determined Group Meeting
    Jun.6 Zhiqiang Ren To be determined Group Meeting
    Jun.13 Jiayi Cong To be determined Group Meeting
    Jun.20 Guoliang Cheng To be determined Group Meeting
    Jun.27 Haoyu Tu To be determined Group Meeting
    Jul.4 Songge Zhang To be determined Group Meeting
    Jul.11 Liang Li To be determined Group Meeting
    Jul.18 Yuxuan Wang To be determined Group Meeting
    Jul.25 Keyuan Shang To be determined Group Meeting
    Aug.1 Zuguang Li To be determined Group Meeting
    Aug.8 Shaofeng Li To be determined Group Meeting
    Aug.15 Shengbo Liu To be determined Group Meeting
    Aug.22 Qiaohua Ling To be determined Group Meeting
  • Date Speaker Title Conference
    Aug.12 Zuguang Li Adaptive Split Learning for Training Acceleration over Dynamic Wireless Networks Group Meeting
    Aug.05 Keyuan Shang Two Timescale Slicing Configuration and Resource Allocation for Energy-Efficient Network Slicing Group Meeting
    Jul.29 Yuxuan Wang Edge-Assisted Cooperative Sensing and Computing for Multiple Connected Autonomous Vehicles Group Meeting
    Jul.19 Liang Li RingAda: Accelerating Large Model Adapter Fine-Tuning on Edge Devices via Pipelined Collaboration and Scheduled Unfreezing Group Meeting
    Jul.11 Songge Zhang Accelerating Model Training for CV Tasks through Parallelization and Pipeline Split Learning Group Meeting
    Jul.04 Haoyu Tu Mobility-Aware Relay Assisted Federated Learning in Vehicular Networks Group Meeting
    Jun.27 Guoliang Cheng Environment-Aware Communications via Channel Knowledge Map Group Meeting
    Jun.20 Zhiqiang Ren Digital Twin Enabled Vehicle Networking: Research status of autonomous driving with collaborative perception as the core Group Meeting
    Jun.13 Jiayi Cong Network Virtualization: Enabling Technologies and Application Scenario Group Meeting
    Jun.06 Xiong Xue Integrated Sensing-Communication-Computation for Edge Artificial Intelligence Group Meeting
    May.30 Qiaohua Ling AoI Aware Radio Resource Management of Autonomous Platoons via Multi Agent Reinforcement Learning Group Meeting
    May.23 Xiang Cheng A Two Time-Scale Joint Optimization Approach for UAV-assisted MEC Group Meeting
    May.16 Yongguang Lu Digital twin, reinforcement learning, and the progress of resource scheduling platforms. Group Meeting
    May.09 Xiaopei chen Energy-Efficient Cooperative Task Offloading in NOMA-Enabled Vehicular Fog Computing Group Meeting
    Apr.25 Shengbo Liu Enhancing Personalized Short Video Streaming via Digital Twin-Assisted Adaptive Preloading Group Meeting
    Apr.18 Shaofeng Li Efficient Handover Authentication in Digital Twin-Based IoT Networks Group Meeting
    Apr.11 Zuguang Li Adaptive Split Learning over Energy-Constrained Wireless Edge Networks Group Meeting
    Apr.07 Keyuan Shang Two-tier Slicing Switch and Resource Allocation for Energy Efficient Network Slicing Group Meeting
    Mar.28 Yuxuan Wang Digital Twin-Based Resource Management and Scheduling in Vehicular Network Group Meeting
    Mar.21 Songge Zhang Hybrid Split Federated Learning: Speed up Model Training in Wireless Networks Group Meeting
    Mar.14 Liang Li FLOOD: Accelerating Federated Learning over Heterogeneous Mobile Devices via Oort and DGA Integration Group Meeting
    Mar.7 Haoyu Tu Client Selection and Bandwidth Allocation in Data-heterogeneity Vehicle Federated Learning Group Meeting
    Feb.29 Guoliang Cheng Generative Artificial Intelligence: What Everyone Needs to Know? Group Meeting
    Feb.22 Jiayi Cong Digital Twin Edge Networks: One or Two-Time Scale Method Group Meeting
    Feb.1 Zhiqiang Ren Deep Learning Research and Development Platform: Characterizing and Scheduling with QoS Guarantees on GPU Clusters Group Meeting
    Jan.25 Xue Xiong Signal Processing Techniques for Intelligent reflecting surface (IRS)-aided Wireless Sensing systemg Group Meeting
    Jan.18 Xiang Cheng Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Network（Optimization Problem and Lyapunov Optimization） Group Meeting
    Jan.17 Yuxuan Wang Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks Subgroup Meeting
    Jan.12 Yongguang Lu Digital Twin-Enabled Service Provisioning in Edge Computing via Continual Learning Group Meeting
    Jan.4 Shengbo Liu Digital Twin-Assisted Adaptive Preloading for Short Video Streaming Group Meeting
    Jan.3 Keyuan Shang Slice Sandwich: Jagged Slicing Multi-tier Dynamic Resources for Diversified V2X Services Subgroup Meeting
  • Date Speaker Title Conference
    Dec.25 Shaofeng Li Efficient handover authentication with user anonymity and untraceability for Mobile Cloud Computing Group Meeting
    Dec.21 Zuguang Li Optimizing Split Learning over Wireless Networks: Adaptive Split Point Selection Group Meeting
    Dec.20 Xue Xiong Aerial Intelligent Reflecting Surface: Joint Placement and Passive Beamforming Design With 3D Beam Flattening Subgroup Meeting
    Dec.11 Keyuan Shang Energy Efficient Network Slicing for Wireless Networks Group Meeting
    Dec.6 Xiang Cheng Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks Subgroup Meeting
    Dec.4 Yuxuan Wang Digital Twin-Based User Association for Load Balancing and Transmission Delay minimization in 6G HetNets Group Meeting
    Nov.27 Liang Li Joint Optimization of Transmission and Computation for Intelligent Emergency Networks Group Meeting
    Nov.23 Songge Zhang Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks Group Meeting
    Nov.22 Yongguang Lu Learning for Robust Combinatorial Optimization: Algorithm and Application Subgroup Meeting
    Nov.13 Haoyu Tu V2V: D2D communication in Vehicular Network Group Meeting
    Nov.8 Zhiqiang Ren Adaptive Computation Offloading With Edge for 5G-Envisioned Internet of Connected Vehicles Subgroup Meeting
    Nov.6 Shengbo Liu Digital Twin-Assisted Adaptive Preloading for Short Video Streaming Group Meeting
    Nov.6 Shengbo Liu Digital Twin-Assisted Adaptive Preloading for Short Video Streaming Group Meeting
    Oct.30 Shaofeng Li TFL-DT: A Trust Evaluation Scheme for Federated Learning in Digital Twin for Mobile Networks Group Meeting
    Oct.25 Jiayi Cong RIS-Aided Ground-Aerial NOMA Communications: A Distributionally Robust DRL Approach Subgroup Meeting
    Oct.23 Wen Wu How to research Group Meeting
    Oct.16 Zuguang Li Redundant Clustered Scheme Based on Weighted Cluster Head Selection for Damaged S-UAV Group Meeting
    Oct.11 Jiayi Cong, Zhiqiang Ren, Xiang Cheng, Yongguang Lu, Xiong Xue Holistic Network Virtualization and Pervasive Network Intelligence for 6G Subgroup Meeting
    Oct.9 Min Chen A Kubernetes-Based Framework Design & A Reinforcement Learning-based Resource Allocator Group Meeting
    Sep.25 Keyuan Shang Energy Efficient Network Slicing for Wireless Networks Group Meeting
    Sep.21 Xue Xiong Robust Beamforming Design for the Dual-function Radar-communication system Group Meeting
    Sep.20 Zuguang Li Lead federated neuromorphic learning for wireless edge artificial intelligence Subgroup Meeting
    Sep.14 Jiayi Cong Throughput Maximization in UAV-enabled Two-way Relaying System & UAV Position and Channel Estimation Platform Group Meeting
    Sep.7 Min Chen MIRAS: Model-based Reinforcement Learning for Microservice Resource Allocation over Scientific Workflows Subgroup Meeting
    Aug.31 Zhiqiang Ren Design and Research of structural health monitoring for prefabricated wall panels & Report on other research projects during the master period Group Meeting
    Aug.24 Yongguang Lu Tradeoff Analysis between UAV Communication Rate and Interference & UAV Universal Simulation Platform & Parallel Simulation System Group Meeting
    Aug.7 Yuxuan Wang Digital Twin-Assisted Video Streaming Management and Optimization Group Meeting
    Jul.27 Haoyu Tu ClusterFL: A Clustering-based Federated Learning System for Human Activity Recognition Subgroup Meeting
    Jul.27 Min Chen Towards Autonomous Driving, A K8S-Based Framework Design Group Meeting
    Jul.20 Haoyu Tu An Introduction of One-Shot Federated Learning Group Meeting
    Jul.13 Zuguang Li An Aerial “Anti-Black” Intelligent Spectrum Monitoring System Subgroup Meeting
    Jul.13 Songge Zhang Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks Group Meeting
    Jul.6 Zuguang Li Machine Learning: Concept, Model and Case Study Group Meeting
    Jun.29 Shengbo Liu Millimeter Wave Full-Duplex Networks: MAC Design and Throughput Optimization Group Meeting
    Jun.29 Songge Zhang RingSFL: An Adaptive Split Federated Learning Towards R Taming Client Heterogeneity Subgroup Meeting
    Jun.15 Songge Zhang DAccelerated Performance in Hybrid Distributed Learning: Real-world Validation of Group-Based Split Federated Learning Group Meeting
    Jun.8 Xiao Luo Designs of End-to-End Autonomous Driving Systems Group Meeting
    Jun.8 Sheng Lan Vehicular Named Data Networking Framework Subgroup Meeting
    Jun.1 Haoyu Tu The Intro to Cluster-based Federated Learning for Vehicular Ad Hoc Networks (VANET) Group Meeting
    May.26 Tom H. Luan Digital Twin and Microverse：Motivation and Challenges Presentation
    May.25 Zuguang Li Holistic Network Virtualization and Pervasive Network Intelligence for 6G Subgroup Meeting
    May.25 Shengbo Liu Digital Twin-Assisted Adaptive Preloading for Short Video Streaming Group Meeting
    May.18 Sheng Lan Research on Key Techniques in Content Routing Group Meeting
    May.11 Yuxuan Wang Joint Configuration Adaptation and Bandwidth Allocation for Edge-based Real-time Video Analytics Subgroup Meeting
    May.11 Zuguang Li Blockchain-based Dynamic Spectrum Sharing and Access Technology Group Meeting
    Apr.27 Haoyu Tu ClusterFL: A Clustering-based Federated Learning System for Human Activity Recognition Subgroup Meeting
    Apr.27 Shaofeng Li The Architectural Implications of Autonomous Driving: Constraints and Acceleration Group Meeting
    Apr.27 Xiao Luo Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms Group Meeting
    Apr.13 Songge Zhang Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks Group Meeting
    Apr.13 Min Chen FairMOT: On the Fairness of Detection and Re-Identifification in Multiple Object Tracking Subgroup Meeting
    Apr.6 Haoyu Tu The Intro to Optimizing Federated Learning with Vehicle Mobility in Vehicular Edge Computing Group Meeting
    Mar.30 Sheng Lan Graph neural networks: A review of methods and applications Group Meeting
    Mar.30 Xiao Luo Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms Subgroup Meeting
    Mar.30 Xiao Luo Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms Subgroup Meeting
    Mar.23 Shaofeng Li An Overview of Model Compression Techniques for Deep Neural Networks Group Meeting
    Mar.16 Sheng Lan A Graph Neural Network Approach for Caching Performance Optimization in NDN Networks Subgroup Meeting
    Mar.16 Keyuan Shang Inter-Slice Mobility Management in 5G Group Meeting
    Mar.9 Xiao Luo An Introduction to DQN Group Meeting
    Mar.1 Shengbo Liu An Introduction to Digital Twin for Wireless Networks Group Meeting
    Mar.1 Haoyu Tu Optimizing Federated Learning on Non-IID Data with Reinforcement Learning Subgroup Meeting
    Feb.22 Songge Zhang Distributed and collaborative learning methods: federated learning and split learning Group Meeting
    Feb.15 Songge Zhang Split Learning over Wireless Networks: Parallel Design and Resource Management Subgroup Meeting
    Feb.15 Haoyu Tu Deliverable D5.2 Analysis of 6G architectural enablers' applicability and initial technological solutions Group Meeting
    Feb.8 Sheng Lan SDN/NFV-Empowered Future IoV With Enhanced Communication, Computing, and Caching Group Meeting
    Jan.11 Xiao Luo A Survey on Application Profiling in Big Datacenters Group Meeting
  • Date Speaker Title Conference
    Dec.28 Keyuan Shang Resource Allocation In Radio Access Network Slicing Group Meeting
    Dec.21 Prof. Pan To Talk or to Work: Efficient Federated Learning over Mobile Devices Group Meeting
    Dec.7 Songge Zhang Digital Twin Network: A New Paradigm for Wireless System Group Meeting
    Nov.30 Haoyu Tu Federated Learning Challenges, Methods, and Future Directions Group Meeting
    Nov.30 Sheng Lan Dynamic Flow Migration for Embedded Services in SDN/NFV-Enabled 5G Core Networks Subgroup meeting
    Nov.23 Shaofeng Li Spatial-Temporal Graph Neural Networks in Transportation Traffic Forecasting Group Meeting
    Nov.16 Shaofeng Li An Introduciton of Graph Neural Network and Its Applications in Fog Computing Group Meeting
    Nov.16 Yuxuan Wang Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing Subgroup Meeting
    Nov.9 Shengbo Liu Hidden-node Problem in Full-duplex Enabled CSMA Networks Group Meeting
    Nov.2 Sheng Lan Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks Group Meeting
    Nov.2 Songge Zhang EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks Subgroup Meeting
    Oct.26 Keyuan Shang Intelligent Radio Access Network Slicing for Service Provisioning in 6G: A Hierarchical Deep Reinforcement Learning Approach Group Meeting
    Oct.19 Yuxuan Wang A Survey on Digital Twins Group Meeting
    Oct.19 Shengbo Liu Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities Subgroup Meeting
    Oct.12 Songge Zhang Robust Cooperative Communication Optimization for Multi-UAV-Aided Vehicular Networks Group Meeting
    Sep.28 Haoyu Tu Efficient Coded Distributed Computing via Joint Cellular and D2D Communications Group Meeting
    Sep.28 Keyuan Shang AI-assisted network-slicing based next-generation wireless networks Subgroup Meeting
    Sep.21 Shaofeng Li Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations Group Meeting
    Sep.21 Everyon Holistic Netework Virtualization and Pervasive Network Intelligence for 6G Subgroup Meeting
    Sep.13 Shengbo Liu MAC protocol design for full-duplex enabled CSMA networks Group Meeting
    Sep.7 Xuda Data-driven tumble strength modeling and application for sintering digital twin Group Meeting

Activity

  • Moments of joy

Pizza lunch

1.15.2023

First Dinnner for Research Group

8.25.2022

Contact

Our Address

2 Xingke No. 1 Street, Shenzhen, Guangdong, China

Email Us

wuw02@pcl.ac.cn

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