Wen Wu
Home
Biography
Research
Publications
Reading List
Services
Supervision
To Students

Publications

IEEE Copyright: Personal use of the materials is permitted, but republication/redistribution requires IEEE permission.

Demos

  1. 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]

  2. 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. [video]

Patents

Canada Patents

  1. 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.

  2. 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.

China Patents

  1. 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.

  2. 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.

  3. 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.

  4. 发明人: 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.” 中国发明专利, 202210819036.7, 2022/07/12, 申请中.

  5. 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.

Books/Book Chapters

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

  2. S. Li, H. Zhu, W. Wu, and X. Shen (authors), Backdoor Attacks against Deep Learning Based Sensing Algorithms, Springer Verlag, proposal approved, 2023.

  3. L. Fu, S. Liu, W. Wu, N. Zhang, and W. Zhuang (authors), MAC Protocol Design for Full-duplex Enabled Wireless Networks,” Springer Verlag, proposal approved, 2023.

  4. 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.

  5. 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.

  6. Y. Tang and W. Wu, “Routing Algorithms for Heterogeneous Vehicular Networks,” Broadband Communications, Computing, and Control for Ubiquitous Intelligence, pp. 17-34. Editors: L. Cai, B. L. Mark, and J. Pan, Springer, 2022.

Preprints

  1. [TCCN] Q. Liu, P. Yang, W. Wu, N. Zhang, and L. Yu, ‘‘Intelligent In-Network Queue Control for Fair and Low-Latency Packet Transmission," IEEE Transactions on Cognitive Communications and Networking (TCCN), major revision, 2021.

  2. [Net] J. Zheng, H. Luan, Y. Zhang, G. Li, Z. Su, and W. Wu, ‘‘Engineering the Comprehensive AI of 6G using Digital Twin," submitted to IEEE Network (Net), 2023.

Journal & Magazine Papers

  1. [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) [bib]

  2. [OJVT’20] 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. (Editor-in-Chief Invited Paper) [bib]

  3. [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) [bib]

  4. [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) [bib]

  5. [JSAC’21] 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]

  6. [TII’21] 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]

  7. [TVT’20] 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]

  8. [TWC’19] 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]

  9. [TVT’19] 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]

  10. [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.

  11. [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, 2024.

  12. [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, 2024.

  13. [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, 2024.

  14. [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.

  15. [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.

  16. [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.

  17. [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.

  18. [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.

  19. [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), vol. 10, no. 20, pp. 18000 - 18015, 2023.

  20. [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.

  21. [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.

  22. [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.

  23. [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.

  24. [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.

  25. [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.

  26. [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.

  27. [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.

  28. [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. [bib]

  29. [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. [bib]

  30. [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.

  31. [JSAC’21] 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. ( Popular Paper) [bib]

  32. [TCC’21] Y. Chen, N. Zhang, Y. Zhang, X. Chen, W. Wu, and X. Shen, ‘‘Energy Efficient Dynamic Offloading in Mobile Edge Computing for Internet of Things," IEEE Transactions on Cloud Computing, vol. 9, no. 3, pp. 1050-1060, 2021. (ESI Hot Paper )

  33. [TCC’21] Y. Chen, N. Zhang, Y. Zhang, X. Chen, W. Wu, and X. Shen, ‘‘TOFFEE: Task Offloading and Frequency Scaling for Energy Efficiency of Mobile Devices in Mobile Edge Computing," IEEE Transactions on Cloud Computing, vol. 9, no. 4, pp. 1634-1644, 2021. (ESI Highly Cited Paper)

  34. [IoTJ’21] C. Yu, W. Quan, D. Gao, Y. Zhang, K. Liu, W. Wu, H. Zhang, and X. Shen, ‘‘Reliable Cybertwin-Driven Concurrent Multipath Transfer with Deep Reinforcement Learning," IEEE Internet of Things Journal, vol. 8, no. 22, pp. 16207-16218, 2021.

  35. [TVT’21] W. Zhang, D. Yang, H. Peng, W. Wu, W. Quan, H. Zhang, and X. Shen, ‘‘Deep Reinforcement Learning Based Resource Management for DNN Inference in Industrial IoT," IEEE Transactions on Vehicular Technology, vol. 70, no. 8, pp. 7605-7618, 2021.

  36. [TWC’21] 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] (ESI Highly Cited Paper)

  37. [TCCN’20] S. Gu, Y. Wang, N. Wang, and W. Wu, ‘‘Intelligent Optimization of Availability and Communication Cost in Satellite-UAV Mobile Edge Caching System with Fault-Tolerant Codes," IEEE Transactions on Cognitive Communications and Networking, vol. 6, no. 4, pp. 1230-1241, 2020.

  38. [TVT’20] M. Gao, B. Ai, Y. Niu, W. Wu, P. Yang, F. Lyu, and X. Shen, ‘‘Efficient Hybrid Beamforming with Anti-Blockage Design for High-Speed Railway Communications," IEEE Transactions on Vehicular Technology, vol. 69, no. 9, pp. 9643-9655, 2020.

  39. [TII’20] P. Yang, F. Lyu, W. Wu, N. Zhang, L. Yu, and X. Shen, ‘‘Edge Coordinated Query Configuration for Low-Latency and Accurate Video Analytics," IEEE Transactions on Industrial Informatics, vol. 16, no. 7, pp. 4855-4864, 2020.

  40. [TCCN’20] Y. Tang, P. Yang, W. Wu, J. W. Mark, and X. Shen, ‘‘Interference Mitigation via Cross-Tier Cooperation in Heterogeneous Cloud Radio Access Networks," IEEE Transactions on Cognitive Communications and Networking, vol. 6, no. 1, pp. 201-213, 2020.

  41. [TWC’20] 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]

  42. [WCM’20] 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]

  43. [NET’20] B. Zheng, M. Wen, S. Lin, W. Wu, F. Chen, F. Ji, and H. Yu, ‘‘Design of Multi-Carrier LBT for LAA&WiFi Coexistence in Unlicensed Spectrum," IEEE Network, vol. 34, no. 1, pp. 76-83, 2020.

  44. [TVT’19] Y. Tang, N. Cheng, W. Wu, Y. Dai, M. Wang, and X. Shen, “Delay-Minimization Routing for Heterogeneous VANETs with Machine Learning based Mobility Prediction,” IEEE Transactions on Vehicular Technology, vol. 68, no. 4, pp. 3967-3979, Apr. 2019. [bib]

  45. [IOTJ’19] X. Liu, Y. Liu, N. Zhang, W. Wu, and A. Liu, ‘‘Trajectory of Unmanned Aerial Vehicles for Efficient Data Acquisition: A Matrix Filling Approach," IEEE Internet of Things Journal, vol. 6, no. 2, pp. 1829-1840, 2019. (ESI Highly Cited Paper)

  46. [ACCESS’19] R. Ding, Y. Xu, F. Gao, X. Shen, and W. Wu, ‘‘Deep Reinforcement Learning for Router Selection in Network with Heavy Traffic," IEEE Access, vol. 7, pp. 37109-37120, 2019.

Conference Papers

  1. [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 )

  2. [WiOpt’18] 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]

  3. [ICC’17] 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]

  4. [INFOCOM’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.

  5. [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.

  6. [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.

  7. [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.

  8. [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.

  9. [ICCC’23] S. Zhang, H. Tu, Z. Li, S. Liu, S. Li, W. Wu, and X. Shen, ‘‘Cluster-HSFL: A Cluster-Based Hybrid Split and Federated Learning", in Proc. IEEE ICCC, Dalian, China, 2023.

  10. [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.

  11. [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.

  12. [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.

  13. [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.

  14. [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.

  15. [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.

  16. [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.

  17. [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.

  18. [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.

  19. [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.

  20. [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.

  21. [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.

  22. [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.

  23. [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.

  24. [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.

  25. [HPCC’21] E. Cui, W. Zhang, D. Yang, W. Wu, and F. Lyu, ‘‘Resource-Efficient DNN Training and Inference for Heterogeneous Edge Intelligence in 6G," in Proc. IEEE HPCC Workshop, Haiko, China, Dec. 20-22, 2021.

  26. [GLOBECOM’21] Z. Mao, F. Hu, Q. Li, W. Wu, and X. Shen, ‘‘Joint Distributed Beamforming and Backscatter Cooperation for UAV-Assisted WPSNs", in Proc. IEEE GLOBECOM, Madrid, Spain, Dec. 7–11, 2021.

  27. [GLOBECOM’21] C. Zhou, H. Wu, M. He, W. Wu, N. Cheng, and X. Shen, ‘‘Adaptive Access Mode Selection in Space-Ground Integrated Vehicular Networks", in Proc. IEEE GLOBECOM, Madrid, Spain, Dec. 7–11, 2021.

  28. [MASS’21] J. Lin, P. Yang, W. Wu, N. Zhang, T. Han, and L. Yu, ‘‘Edge Learning for Low-Latency Video Analytics: Query Scheduling and Resource Allocation", in Proc. IEEE MASS, Auburn, United States, Oct. 4–7, 2021.

  29. [ICCC’21] Z. Huang, P. Yang, N. Zhang, F. Lyu, Q. Li, W. Wu, and X. Shen, ‘‘QoE-driven Mobile 360 Video Streaming: Predictive View Generation and Dynamic Tile Selection", in Proc. IEEECIC ICCC/, Xiamen, China, Jul. 28-30, 2021.

  30. [ICC’21] 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, June 14-23, 2021. [bib]

  31. [ICC’21] W. Zhang, D. Yang, W. Wu, H. Peng, W. Quan, H. Zhang, and X. Shen, ‘‘Spectrum and computing resource management for federated learning in distributed industrial IoT", in Proc. IEEE ICC Workshop, Montreal, Canada, June 14-23, 2021.

  32. [GLOBECOM’20] W. Zhang, D. Yang, H. Peng, W. Wu, W. Quan, H. Zhang, and X. Shen, ‘‘Deep Reinforcement Learning Based Resource Management for DNN Inference in IIoT", in Proc. IEEE GLOBECOM, Taipei, Taiwan, Dec. 7-11, 2020.

  33. [ICC’20] W. Wang, C. Zhou, H. He, W. Wu, W. Zhuang, and X. Shen, ‘‘Cellular Traffic Load Prediction with LSTM and Gaussian Process Regression", in Proc. IEEE ICC, Virtual Conference, Jun. 7-11, 2020.

  34. [GLOBECOM’19] 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.

  35. [GLOBECOM’19] M. Gao, B. Ai, Y. Niu, W. Wu, P. Yang, F. Lyu, and X. Shen, ‘‘Edge Caching and Content Delivery with Minimized Delay for both High-Speed Train and Local Users", in Proc. of IEEE GLOBECOM, Waikoloa, United States, Dec. 9–13, 2019.

  36. [WCSP’19] C. Zhou, H. He, P. Yang, F. Lyu, N. Cheng, W. Wu, and X. Shen, ‘‘Deep RL-based Trajectory Planning for AoI Minimization in UAV-assisted IoT", in Proc. IEEE WCSP, Xi'an, China, Oct. 23–25, 2019.

  37. [ICC’19] M. Gao, B. Ai, Y. Niu, W. Wu, P. Yang, F. Lyu, and X. Shen, ‘‘On Hybrid Beamforming of mmWave MU-MIMO System for High-Speed Railways", in Proc. IEEE ICC, Shanghai, China, May 20–24, 2019.

  38. [ICC’19] Y. Tang, P. Yang, W. Wu, J. W. Mark, and X. Shen, ‘‘Cooperation-based Interference Mitigation in Heterogeneous Cloud Radio Access Networks", in Proc. IEEE ICC, Shanghai, China, May 20–24, 2019. (Invited for fast-track journal publication in IEEE Transactions on Cognitive Communications and Networking)

  39. [ICC’19] F. Lyu, P. Yang, W. Shi, H. Wu, W. Wu, N. Cheng, and X. Shen, ‘‘Online UAV Scheduling Towards Throughput QoS Guarantee for Dynamic IoVs", in Proc. IEEE ICC, Shanghai, China, May 20–24, 2019.

  40. [GLOBECOM’18] 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.

  41. [ICCC’17] K. Aldubaikhy, Q. Shen, M. Wang, W. Wu, X. Shen, O. Aboul-Magd, Y. Xin, R. Sun, and E. Au, ‘‘MAC layer design for concurrent transmissions in millimeter wave WLANs", in emph{Proc. IEEE/CIC International Conference on Communications in China (textbf{ICCC})}, Qingdao, China, Oct. 22–24, 2017.

  42. [ICCCN’14] W. Wu, X. Li, H. Yin, C. Zhang, and G. Wei, “Joint Real Grassmannian Quantization Strategy for MIMO Interference Alignment with Limited Feedback,” in Proc. IEEE ICCCN Workshop, Shanghai, China, Aug. 4-7, 2014.

  43. [PIMRC’14] W. Wu, X. Li, H. Yin, C. Zhang, and G. Wei, ‘‘A Joint Real Grassmannian Quantization Strategy for SISO IA with Limited Feedback," in Proc. IEEE PIMRC, Washington, USA, Sep. 2-5, 2014.

alt text