Wen Wu
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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

  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”. United States, App. 18,884,763, 2024/09/13. Patent Status: Pending.

  2. 发明人: 李靓, 吴稳, 陈小培, “一种基于按需参数激活的大模型协同微调系统与方法.” 美国专利, 202310346644.5, 2023/04/03, 申请中.

  3. 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.

  4. 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.

  5. 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.

  6. 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, 202311665165.6, 20231115, 申请中.

  7. 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, 2024/03/21, 已授权.

  8. 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, 2023/12/25, 已授权.

  9. 发明人: 任志强, 李少锋, 罗霄, 陈珉, 吴稳, 代明军, “基于Kubernetes的车联网资源分配管控软件 V1.0.“ 中国软件著作, 2024SR1553334, 20241018，已授权.

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, 2024 (ISBN-10: 3031573889, ISBN-13: 978-3031573880)

  3. L. Fu, S. Liu, W. Wu, N. Zhang, and W. Zhuang (authors), MAC Protocol Design for Full-duplex Enabled Wireless Networks, Springer Verlag, 2024. (ISBN 978-3031572951)

  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. [WCM] W. Wu, X. Huang, and T. H. Luan, ‘‘AI-Native Network Digital Twin for Intelligent Network Management in 6G," IEEE Wireless Communications, submitted, 2024.

  2. [TMC] S. Zhang, W. Wu, L. Song, and X. Shen, ‘‘Efficient Model Training in Edge Networks with Hierarchical Split Learning," IEEE Transactions on Mobile Computing, submitted, 2024.

  3. [ICC’25] Y. Wang, K. Qu, W. Wu, and X. Shen, ‘‘Edge-Assisted Accelerated Cooperative Sensing for CAVs: Task Placement and Resource Allocation," in Proc. IEEE ICC, Montreal, Canada, 2025

  4. [ICC’25] J. Cong, G. Cheng, C. You, X. Huang, and W. Wu, ‘‘Two-Timescale Digital Twin Assisted Model Interference and Retraining over Wireless Network," in Proc. IEEE ICC, Montreal, Canada, 2025

  5. [ICC’25] L. Li, X. Chen, and W. Wu, ‘‘RingAda: Pipelining Large Model Fine-Tuning on Edge Devices with Scheduled Layer Unfreezing," in Proc. IEEE ICC, Montreal, Canada, 2025

  6. [ICC’25] X. Cheng, Z. Mao, Y. Wang, and W. Wu, ‘‘Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning," in Proc. IEEE ICC, Montreal, Canada, 2025

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] D. Li, S. Wu, Y. Wang, W. Wu, and Q. Zhang, “Intelligent Task Scheduling in Hybrid GEO-LEO Satellite-Assisted Marine IoT Network”, IEEE Internet of Things Journal (JIoT), to appear, 2024.

  11. [JIoT’24] L. Yu, W. Wu, and L. Mei, “A Lightweight Cross-layer Mutual Authentication with Key Agreement Protocol for IIoT,” IEEE Internet of Things Journal (JIoT), to appear, 2024.

  12. [TNSE’24] J. Ren, D. Yang, K. Gong, W. Zhang, W. Chen, W. Wu, and H. Zhang, “PTAS: PIFO-based Time-aware Shaper for Massive Concurrent Flows in Time-sensitive Networks,” Transactions on Network Science and Engineering (TNSE), to appear, 2024.

  13. [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.

  14. [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.

  15. [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.

  16. [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.

  17. [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.

  18. [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.

  19. [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.

  20. [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.

  21. [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.

  22. [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), vol. 11, no. 9, pp. 16227-16242, May 2024. (IEEE ComSoc Best Readings)

  23. [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), vol. 23, no. 8, pp. 8820-8835, Aug. 2024.

  24. [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), vol. 18, no. 1, pp. 50-65, Jan. 2024.

  25. [JIoT’24] 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), vol. 11, no. 3, pp. 4872-4887, Jan. 2024.

  26. [TWC’24] Z. Ma, W. Wu, F. Gao, and X. Shen, “Model-Driven Deep Learning for Massive Machine-Type Communications,” IEEE Transactions on Wireless Communications (TWC), vol. 23, no. 3, pp. 2197 - 2211, Mar. 2024.

  27. [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.

  28. [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), vol. 72, no. 10, pp. 13575 - 13590, Oct. 2023.

  29. [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), vol. 10, np. 17, pp. 15133 - 15146, Sept. 2023.

  30. [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), vol. 10, no. 12, pp. 10131-10145, Jun. 2023.

  31. [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.

  32. [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.

  33. [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.

  34. [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.

  35. [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.

  36. [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]

  37. [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]

  38. [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.

  39. [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]

  40. [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 )

  41. [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)

  42. [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.

  43. [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.

  44. [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)

  45. [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.

  46. [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.

  47. [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.

  48. [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.

  49. [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]

  50. [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]

  51. [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.

  52. [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]

  53. [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)

  54. [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. [Globecom’24] S. Zhang, G. Cheng, Z. Li, and W. Wu, “SplitLLM: Hierarchical Split Learning Scheme for Large Model over Wireless Network,” in Proc. IEEE Globecom Workshop, Cape Town, South Africa, Dec. 8-12, 2024.

  5. [Globecom’24] H. Tu, L. Chen, Z. Li, X. Chen, and W. Wu, “Mobility-Aware Federated Learning: Multi-armed Bandit Based Selection in Vehicular Network,” in Proc. IEEE Globecom Workshop, Cape Town, South Africa, Dec. 8-12, 2024.

  6. [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 Globecom, Cape Town, South Africa, Dec. 8-12, 2024.

  7. [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.

  8. [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.

  9. [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.

  10. [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.

  11. [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), Philadelphia, USA, August 14–16, 2024. ( Distinguished Paper Award )

  12. [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.

  13. [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.

  14. [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.

  15. [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.

  16. [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.

  17. [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.

  18. [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.

  19. [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.

  20. [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.

  21. [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.

  22. [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.

  23. [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.

  24. [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.

  25. [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.

  26. [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.

  27. [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.

  28. [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.

  29. [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.

  30. [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.

  31. [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.

  32. [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.

  33. [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.

  34. [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.

  35. [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]

  36. [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.

  37. [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.

  38. [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.

  39. [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.

  40. [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.

  41. [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.

  42. [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.

  43. [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)

  44. [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.

  45. [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.

  46. [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.

  47. [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.

  48. [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.

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