📝 Full Publications

Publication Index: 1 Monograph, 1 Patent, 66 Journal and 52 Conference papers.

Book

Patent

Journal Papers

  1. Y. Zhang, W. Xu, A. Jin, M. Li, P. Ma, L. Jiang, S. Gao, `Coupling-Informed Data-Driven Scheme for Joint Angle and Frequency Estimation in Uniform Linear Array with Mutual Coupling Present’, IEEE Transactions on Antennas and Propagation, 2024

  2. X. Yuan, N. Li, K. Wei, W. Xu, Q. Chen, H. Chen, S. Guo, `Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence’, IEEE Transactions on Mobile Computing, 2024

  3. Y. Zhang, W. Xu, A. Jin, M. Li, P. Yuan, L. Jiang, S. Gao, `A Tensor-Based Data-Driven Approach for Multidimensional Harmonic Retrieval and Its Application for MIMO Channel Sounding’, IEEE Internet of things journal, 2024

  4. J. Zhu, H. Zheng, W. Xu, H. Wang, Z. He, Y. Liu, S. Wang, Q. Sun, `Harmonizing Global and Local Class Imbalance for Federated Learning’, IEEE Transactions on Mobile Computing, 2024

  5. J. Zhang, S. Guo, X. Ma, W. Xu, Q. Zhou, J. GUo, Z. Hong, J. Shan, `Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning’, IEEE Transactions on Mobile Computing, 2024

  6. M. Zhi, Y. Bi, L. Cai, W. Xu, H. Wang, T. Xiang, Q. He, `Knowledge-Aware Parameter Coaching for Communication-Efficient Personalized Federated Learning in Mobile Edge Computing’, IEEE Transactions on Mobile Computing, 2024

  7. Y. Liu, W. Xu, H. Wang, Y. Qi, R. Li, S. Guo, SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning, IEEE Transactions on Parallel and Distributed Systemsm, 2024

  8. Y. Pan, X. Wang, Z. Xu, N. Cheng, W. Xu, J. Zhang, GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network, IEEE Internet of Things Journal, 2024

  9. Q. Mao, X. Lin, W. Xu, Y. Qi, X. Su, G. Li, J. Li, FeCoGraph: Label-aware Federated Graph Contrastive Learning for Few-shot Network Intrusion Detection, IEEE Transactions on Parallel and Distributed Systems, 2024

  10. S. Li, X. Lin, W. Xu, J. Li, AI-Generated Content-Based Edge Learning for Fast and Efficient Few-Shot Defect Detection in IIoT, IEEE Transactions on Services Computing, 2024

  11. Z. Zhuang, J. Chen, W. Xu, Q. Qi, S. Guo, J. Wang, L. Lu, H. Yang, J. Liao, DECC: Delay-Aware Edge-Cloud Collaboration for Accelerating DNN Inference, IEEE Transactions on Emerging Topics in Computing, 2024

  12. L. Wu, S. Guo, Y. Ding, J. Wang, W. Xu, Y. Zhan, K. Anne-Marie, Rethinking Personalized Client Collaboration in Federated Learning, IEEE Transactions on Mobile Computing, 2024

  13. J. Li, S. Guo, W. Liang, J. Wang, Q. Chen, W. Xu, K. Wei, X. Jia, Mobility-Aware Utility Maximization in Digital Twin-Enabled Serverless Edge Computing, IEEE Transactions on Computers, 2024

  14. J. Guo, H. Wang, Y. Xu, W. Xu, Y. Zhan, Y. Sun, S. Guo, Multi-modal Dual-embedding Networks for Malware Openset Recognition, IEEE Transactions on Neural Networks and Learning Systems, 2024

  15. D. Chen, W. Xu, R. Li, H. Wang, Y. Qi, P. Zhou, S. Guo, Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit, IEEE Transactions on Mobile Computing, 2024

  16. Q. Chen, S. Guo, W. Xu, J. Li, K. Wei, Z. Cai, H. Gao, Peak AoI Minimization with Directional Charging for Data Collection at Wireless-Powered Network Edge, IEEE Transactions on Services Computing, accepted

  17. F. Huo, Z. Liu, J. Guo, W. Xu, S. Guo, UTDNet: A Unified Triplet Decoder Network for Multimodal Salient Object Detection, Elsevier Neural Networks, accepted

  18. X. Xie, C. Hua, J. Hong, W. Xu, Optimal Power Control and CSI Acquisition for Over-the-Air Computation in OFDM System, IEEE Transactions on Wireless Communications, accepted

  19. Q. Chen, S. Guo, K. Wang, W. Xu, J. Li, Z. Cai, H. Gao, A. Zomaya, Towards Real-Time Inference Offloading with Distributed Edge Computing: the Framework and Algorithms, IEEE Transactions on Mobile Computing, accepted

  20. L. Wu, S. Guo, Z. Hong, Y. Liu, W. Xu, Y. Zhan, Long-term Adaptive VCG Auction Mechanism for Sustainable Federated Learning with Periodical Client Shifting, IEEE Transactions on Mobile Computing, Sep. 2023

  21. J. Shen, N. Cheng, X. Wang, F. Lyu, W. Xu, Z. Liu, K. Aldubaikhy, X. Shen, RingSFL:An Adaptive Split Federated Learning Towards Taming Client Heterogeneity, IEEE Transactions on Mobile Computing, accepted

  22. X. Xie, C. Hua, P. Gu, W. Xu, AirCon: Over-the-Air Consensus Protocol for Wireless Blockchain Networks, IEEE Transactions on Mobile Computing, July 2023

  23. W. Xu, H. Wan, H. Wang, N. Cheng, Q. Chen, H. Zhou, S. Guo, Fast Packet Loss Inferring via Personalized Simulation-Reality Distillation, IEEE Transactions on Mobile Computing, to appear

  24. W. Xu, H. Wang, Z. Lu, C. Hua, N. Cheng, S. Guo, Mobile Collaborative Learning over Opportunistic Internet of Vehicles, IEEE Transactions on Mobile Computing, DOI: 10.1109/TMC.2023.3273425, May 2023

  25. T. Guo, S. Guo, J. Wang, X. Tang, W. Xu, PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model, IEEE Transactions on Mobile Computing, to appear

  26. H. Dong, C. Hua, L. Liu, W. Xu, S. Guo, Optimization-Driven DRL Based Joint Beamformer Design for IRS-Aided ITSN Against Smart Jamming Attacks, IEEE Transactions on Wireless Communications, DOI: 10.1109/TWC.2023.3281452

  27. J. Chen, W. Xu, P. Hu, J. Wang, K. Chen, Y. Feng, S. Guo Towards Multi-user Access Fairness in Reconfigurable Intelligent Surface Assisted Wireless Networks, IEEE Wireless Communications Magazine, April, 2023

  28. T. Guo, S. Guo, F. Wu, W. Xu, J. Zhang, Q. Zhou, Q. Chen, W. Zhuang, Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration, IEEE Transactions on Mobile Computing, Mar. 2023

  29. W. Gu, Y. Liu, C. Wang, W. Xu, Y. Yu, W. Lu, H. Zhu, A General 3D Geometry-Based Stochastic Channel Model for B5G mmWave IIoT, IEEE Internet of Things Journal, To appear

  30. H. Dong, C. Hua, L. Liu, W. Xu, S. Guo, R. Tafazolli, Joint Beamformer Design and User Scheduling for Integrated Terrestrial-Satellite Networks,, IEEE Transactions on Wireless Communications, Feb. 2023

  31. A. Jin, W. Xu, S. Guo, B. Hu, L. Yeung, PS+: A Simple yet Effective Framework for Fast Training on Parameter Server, IEEE Transactions on Parallel and Distributed Systems, Aug. 2022

  32. H. Dong, C. Hua, L. Liu, W. Xu, R. Tafazolli, Intelligent Reflecting Surface-Aided Integrated Terrestrial-Satellite Networks, IEEE Transactions on Wireless Communications, Oct. 2022

  33. H. Wang, R. Li, C. Li, P. Zhou, Y. Li, W. Xu, S. Guo, Gradient Scheduling with Global Momentum for Asynchronous Federated Learning in Edge Environment, IEEE Internet of Things Journal, Mar. 2022

  34. T. Yang, M. Qin, N. Cheng, W. Xu, L. Zhao Liquid software-based edge intelligence for future 6G networks, IEEE Network (2022)

  35. D. Hu, J. Chen, H. Zhou, K. Yu, B. Qian, W. Xu, Leveraging Blockchain for Multi-Operator Access Sharing Management in Internet of Vehicles, IEEE Transactions on Vehicular Technology, Dec. 2021.

  36. H. Wang, Z. Qu, Q. Zhou, H. Zhang, B. Luo, W. Xu, S. Guo, R. Li, A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoTs, IEEE Internet of Things Journal, Sep. 2021.

  37. M. He, C. Hua, W. Xu, P. Gu, X. Shen Delay Optimal Concurrent Transmissions with Raptor Codes in Dual Connectivity Networks, IEEE Transactions on Network Science and Engineering (2021)

  38. H. Wu, J. Chen, C. Zhou, W. Shi, N. Cheng, W. Xu, W. Zhuang and X. Shen Resource management in space-air- ground integrated vehicular networks: SDN control and AI algorithm design, IEEE Wireless Communications, 27(6), pp.52-60, 2020

  39. Z. Ke, C. Hua, P. Gu, and W. Xu, User Clustering and Proactive Group Handover Scheduling in LEO Satellite Networks, In 2020 IEEE Computing, Communications and IoT Applications (ComComAp), 2020

  40. X. Wang, Q. Ma, J. Li, H. Zhang, W. Xu, An Improved SC Flip Decoding Algorithm of Polar Codes Based on Genetic Algorithm, IEEE Access, vol. 8, 2020.

  41. M. Qin, N. Cheng, Z. Jing, T. Yang, W. Xu, Q. Yang, RR Rao, Service-Oriented Energy-Latency Tradeoff for IoT Task Partial Offloading in MEC-Enhanced Multi-RAT Networks, IEEE Internet of things journal, August, 2020.

  42. H. Zhou W. Xu, J. Che, W. Wang Evolutionary V2X Technologies Toward Internet of Vehicles: Challenges and Opportunities, Proceedings of IEEE, vol. 108, no.2 (2020), pp. 308–323. (Highly cited paper)

  43. W. Xu, S. Guo, S. Ma, H. Zhou, M. Wu, W. Zhuang Augmenting Drive-thru Internet via Reinforcement Learning based Rate Adaptation, IEEE Internet of Things Journal, vol. 7, no.4 (2020), pp.3114–3123.

  44. W. Xu, H. Zhou, H. Wu, F. Lyu, N. Cheng, X. Shen Intelligent Link Adaptation in 802.11 Vehicular Networks: Challenges and Solutions, IEEE Communications Standards Magazine, vol. 3, no. 1, pp. 12–18, 2019

  45. W. Xu, W. Shi, F. Lyu, H. Zhou, N. Cheng, X. Shen Throughput Analysis of Vehicular Internet Access via Roadside WiFi Hotspot, IEEE Transactions on Vehicular Technology, vol.68, no.4, pp.3980–3991, 2019

  46. W. Xu, H. Zhou, Y. Bi, N. Cheng, X. Shen Exploiting hotspot-2.0 for traffic offloading in mobile networks, IEEE Network, vol.32, no.5, pp.131–137, 2018

  47. W. Xu, H. Zhou, N. Cheng, F. Lyu, W. Shi, J. Chen, X. Shen Internet of vehicles in big data era, IEEE/CAA Journal of Automatica Sinica, vol.5, no.1, pp.19–35, 2017 (Highly cited paper)

  48. W. Xu, O. Ha, W. Zhuang, X. Shen Delay analysis of in-vehicle Internet access via on-road WiFi access points, IEEE access, vol.5, pp.2736–2746, 2017

  49. L. Qian, A. Feng, N, Yu, W. Xu, Y. Wu, Vehicular Networking enabled Vehicle State Prediction via Two-level Quantized Adaptive Kalman Filtering, IEEE Internet of Things Journal (DOI 10.1109/JIOT.2020.2983332)

  50. H. Zhou, X. Peng, B. Qian, F. Lyu, W. Xu, Enabling Security-Aware D2D Spectrum Resource Sharing for Connected Autonomous Vehicles, IEEE Internet of Things Journal, vol. 7, no. 5 (2020), pp.3799–3811

  51. C. Hua, W. Xu, P. Gu, Optimal Power Allocation for Non-orthogonal Multiple Access in Wireless Backhaul Net- works, IET Communications, 2020

  52. P. Gu, C. Hua, W. Xu, R. Khatoun, Y. Wu, A. Serhrouchni, Control Channel Anti-Jamming in Vehicular Networks via Cooperative Relay Beamforming, IEEE Internet of Things Journal, 2020 Feb 13;7(6):5064-77.

  53. H. Wu, J. Chen, W. Xu, N. Cheng, W. Shi, L. Wang, X. Shen Delay-Minimized Edge Caching in Heterogeneous Vehicular Networks: A Matching-Based Approach, IEEE Transactions on Wireless Communication, accepted

  54. F. Lyu, N. Cheng, H. Zhu, H. Zhou, W. Xu, M. Li, X. Shen Towards Rear-End Collision Avoidance: Adaptive Beaconing for Connected Vehicles, IEEE Transactions on Intelligent Transportation Systems, accepted

  55. F. Lyu, H. Zhu, N. Cheng, H. Zhou, W. Xu, M. Li, X. Shen Characterizing Urban Vehicle-to-Vehicle Communica- tions for Reliable Safety Applications, IEEE Transactions on Intelligent Transportation Systems, early access (DOI 10.1109/TITS.2019.2920813)

  56. N. Cheng, W. Xu, W. Shi, Y. Zhou, N. Lu, H. Zhou, X. Shen Air-ground integrated mobile edge networks: Archi- tecture, challenges, and opportunities, IEEE Communications Magazine, vol.56, no.8, pp.26–32, 2018

  57. W. Shi, J. Li, W. Xu, H. Zhou, N. Zhang, S. Zhang, X. Shen Multiple drone-cell deployment analyses and optimization in drone assisted radio access networks, IEEE Access, vol.6, pp.12518–12529, 2018

  58. W. Shi, H. Zhou, J. Li, W. Xu, N. Zhang X. Shen Drone assisted vehicular networks: Architecture, challenges and opportunities, IEEE Network, vol.32, no.3, pp.130–137, 2018

  59. F. Lyu, N. Cheng, H. Zhou, W. Xu, W. Shi, J. Chen, M. Li, X. Shen DBCC: Leveraging Link Perception for Distributed Beacon Congestion Control in VANETs, IEEE Internet of Things Journal, vol.5, no.6, pp.4237–4249, 2018

  60. N. Cheng, W. Xu, W. Shi, Y. Zhou, N. Lu, H. Zhou, X. Shen Big data driven vehicular networks, IEEE Network, vol.32, no.6, pp.160–167, 2018 (Highly cited paper)

  61. F. Lyu, N. Cheng, H. Zhu, H. Zhou, W. Xu, M. Li, X. Shen Intelligent context-aware communication paradigm design for IOVs based on data analytics, IEEE Network, vol.32, no.6, pp.74–82, 2018

  62. F. Lyu, H. Zhu, H. Zhou, L. Qian, W. Xu, M. Li, X. Shen MoMAC: mobility-aware and collision-avoidance MAC for safety applications in VANETs, IEEE Transactions on Vehicular Technology, vol.67, no.11, pp.10590–10602, 2018

  63. H. Zhou, W. Xu, Y. Bi, J. Chen, Y. Quan, X. Shen Toward 5G spectrum sharing for immersive-experience-driven vehicular communications, IEEE Wireless Communications, vol.24, no.6, pp.30–37, 2017

  64. F. Lyu, H. Zhu, H. Zhou, W. Xu, N. Zhang, M. Li, X. Shen SS-MAC: A novel time slot-sharing MAC for safety messages broadcasting in VANETs, IEEE Transactions on Vehicular Technology, vol.67, no.4, pp.3586–3597, 2017

  65. J. Chen, H. Zhou, N. Zhang, W. Xu, Q. Yu, L. Gui, X. Shen Service-oriented dynamic connection management for software-defined internet of vehicles, IEEE Transactions on Intelligent Transportation Systems, vol.18, no.10, pp.2826–2837, 2017

  66. Y. Bi, H. Zhou, W. Xu, X. Shen, H. Zhao, An efficient PMIPv6-based handoff scheme for urban vehicular networks, IEEE transactions on intelligent transportation systems, vol.17, no.12, pp.3613–3628, 2016

Conference Papers

  1. Y. Xiao, H. Wang, Z. Zhu, W. Liu, W. Xu, R. Li, `AWSSS: Adaptive Weighted Statistical Space Smoothing for Regression With Imbalance Data’, IEEE HPCC 2024

  2. Y. Fan, W. Xu, H. Wang, S. Guo, `Cross-modal Representation Flattening for Multi-modal Domain Generalization’, NeurIPS 2024

  3. Y. Quan, N. Cheng, X. Wang, Z. Yin, W. Xu, D. Wang, `ALWNN: Automatic Modulation Classification via Adaptive Lightweight Wavelet Neural Network’, IEEE Globecom 2024

  4. Y. FAN, W. Xu, H. Wang, J. Liu, S. Guo, Detached and Interactive Multimodal Learning, ACM MM 2024

  5. Y. Li, W. Xu, H.Wang, R. Li, Y. Qi, J, Guo, ‘Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching’, European Conference on Computer Vision (ECCV) 2024

  6. Y. Fan, W. Xu, H. Wang, F. Huo, J. Chen, S. Guo, ‘Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection’, European Conference on Computer Vision (ECCV) 2024

  7. H. Wang, P. Zheng, X. Han, W. Xu, R. Li, T. Zhang, FedNLR: Federated Learning with Neuron-wise Learning Rates, SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

  8. S. Li, W. Xu, H. Wang, X. Tang, Y. Qi, S. Xu, W. Luo, Y. Li, X. He, R. Li, FedBAT: Communication-efficient Federated Learning via Learnable Binarization, International Conference on Machine Learning (ICML2024)

  9. J. Zhang, X. Ma, S. Guo, P. Li, W. Xu, X. Tang, Z. Hong, Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models, International Conference on Machine Learning (ICML2024)

  10. W. Lv, Q. Su, H. Wan, H. Xu, W. Xu, Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data, International Conference on Machine Learning (ICML2024)

  11. F. Huo, W. Xu, J. Guo, H. Wang, S. Guo, C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation, IEEE/CVF CVPR 2024

  12. Z. Lu, W. Xu, X. Xie, M. Tu, H. Wang, C. Hua, Physical Layer Overshadowing Attack on Semantic Communication System, IEEE ICC’24

  13. Y. Liu, H. Wang, S. Wang, Z. He, W. Xu, J. Zhu, F. Yang, Disentangle Estimation of Casual Effects from Cross-Silo Data, (ICASSP2024)

  14. M Zhi, Y. Bi, W. Xu, H. Wang, T. Xiang, Knowledge-Aware Parameter Coaching for Personalized Federated Learning, Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI2024)

  15. F. Huo, W. Xu, S. Guo, J. Guo, H. Wang, Z. Liu, X. Lu, ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning, Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI2024)

  16. F. Huo, W. Xu, J. Guo, H. Wang, Y. Fan, Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement, Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI2024)

  17. J. Chen, W. Xu, Z. Hong, S. Guo, H. Wang, J. Zhang, D. Zeng, `OTAS: An Elastic Transformer Serving System via Token Adaptation’, IEEE INFOCOM 2024

  18. X. Ma, J. Zhang, S. Guo, W. Xu, `SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models’, NeurIPS 2023

  19. W. Xu, H. Wan, N. Cheng, H. Zhou, M. Qin, A Practical Fast Model Inference System Over Tiny Wireless Device, accepted in 2023 International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

  20. J. Zhang, X. Ma, S. Guo, W. Xu, Towards Unbiased Training in Federated Open-world Semi-supervised Learning, accepted in International Conference on Machine Learning (ICML), 2023

  21. J. Li, L. Lang, Z. Zhu, H. Wang, R. Li, W. Xu, Decompose, Then Reconstruct: A Framework of Network Structures for Click-Through Rate Prediction, accepted to ECML/PKDD 2023

  22. Q. Chen, S. Guo, W. Xu, J. Li, T. Shi, Z. Cai, H. Gao, Optimizing Average AoI with Directional Charging for Wireless-Powered Network Edge, accepted in The IEEE/ACM International Symposium on Quality of Service 2023 (IWQoS 2023)

  23. H. Wang, Y. Li, W. Xu, R. Li, Y. Zhan, Z. Zeng, DaFKD: Domain-aware Federated Knowledge Distillation, accepted in IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) 2023

  24. Y. Fan, W. Xu, H. Wang, J. Wang, S. Guo, PMR: Prototypical Modal Rebalance for Multimodal Learning, accepted in IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) 2023

  25. J. He, N. Cheng, Z. Yin, H. Zhou, W. Xu, H. Peng, C. Zhou, R. Zhang, Service-Oriented Resource Allocation in SDN Enabled LEO Satellite Networks, accepted in 2023 International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

  26. J. Shen, N. Cheng, Z. Yin, Y. FU, S. Guo, W. Xu, RingSFL: An Adaptive Federated Learning System for Heteroge- neous Clients in IEEE/CIC International Conference on Communications in China (ICCC), 2023

  27. Z. Lu, J. Bao, X. Xie, W. Xu, C. Hua, Non-Inducible RF Fingerprint Hiding via Feature Perturbation, acceted in IEEE ICC, 2023

  28. H. Wang, W. Xu, Y. Fan, R. Li, P. Zhou, AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation, accepted in INFOCOM 2023

  29. Q. Chen, S. Guo, W. Xu, Z. Cai, L. Cheng, H. Gao, AoI Minimization Charging at Wireless-Powered Network Edge, In Proc. IEEE ICDCS, pp. 713-723, 2022

  30. L. Wu, S. Guo, Y. Liu, Z. Hong, Y. Zhan, W. Xu, Sustainable Federated Learning with Long-term Online VCG Auction Mechanism, In Proc. IEEE ICDCS, pp. 895-90, 2022

  31. H. Wan, W. Xu, N. Cheng, Z. Yin, ‘Fusing Onboard Modalities with V2V Information for Autonomous Driving’, VTC 2022 Spring

  32. Z. Ren, N. Cheng, R. Sun, X. Wang, N. Lu, W. Xu, SigT: An Efficient End-To-End MIMO-OFDM Receiver Framework Based on Transformer, accepted in Proc. IEEE ICCSPA”22

  33. Y. Zhu, C. Hua, D. Zhong, W. Xu, Design of Low-latency Overlay Protocol for Blockchain Delivery Networks, In 2022 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1182-1187, 2022.

  34. X. Ma, J. Zhang, S. Guo, W. Xu, Layer-wised Model Aggregation for Personalized Federated Learning, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10092-10101, 2022.

  35. J. Zhang, S. Guo, X. Ma, H. Wang W. Xu, F. Wu, Parameterized Knowledge Transfer for Personalized Federated Learning, Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).

  36. H. Dong, C. Hua, L. Liu, W. Xu, Towards Integrated Terrestrial-Satellite Network via Intelligent Reflecting Surface, In ICC 2021-IEEE International Conference on Communications, pp. 1-6. IEEE, 2021

  37. W. Xu, H. Zhou, N. Cheng, N. Lu, L. Xu, M. Qin, S. Guo, Autonomous Rate Control for Mobile Internet of Things: A Deep Reinforcement Learning Approach, in Proc. VTC-Fall 2020,

  38. W. Xu, H. Zhou, T. Yang, H. Wu, S. Guo, Proactive Link Adaptation for Marine Internet of Things in TV White Space, in Proc. ICC 2020

  39. X. Yang, C. Hua, P. Gu, W. Xu, Joint Power Allocation for Non-orthogonal Multiple Access in Wireless Backhaul Networks, in Proc. ICFC 2020

  40. Z. Xu, Y. Zhang, C. Fu, L. Liu, C. Chen, W. Xu, S. Guo, Back Shape Measurement and Three-Dimensional Reconstruction of Spinal Shape Using One Kinect Sensor, in Proc. ISBI 2020

  41. W. Xu, S. Guo, H. Zhou, S. Ma, M. Wu, A Queueing Analysis of the Opportunistic Vehicle-to-Vehicle Communica- tion, in Proc. Globecom 2019

  42. W. Xu, C. Ma, S. Guo, H. Zhou Efficient Rate Adaptation for 802.11af TVWS Vehicular Access via Deep Learning, in Proc. Globecom 2019

  43. H. Cai, C. Hua, W. Xu Design of Active Learning Framework for Collaborative Anomaly Detection, in Proc. WCSP 2019

  44. W. Xu, H. Wu, J. Chen, H. Zhou, N. Cheng, X. Shen, ViFi: Vehicle-to-Vehicle Assisted Traffic Offloading via Roadside WiFi Networks, in Proc. Globecom 2018, pp.1–6

  45. H. Wu, W. Xu, J. Chen, L. Wang, X. Shen, Matching-Based Content Caching in Heterogeneous Vehicular Networks, in Proc. Globecom 2018, pp.1–6, Best Paper Award

  46. J. Chen, W. Xu, N. Cheng, H. Wu, S. Zhang, X. Shen, Reinforcement Learning Policy for Adaptive Edge Caching in Heterogeneous Vehicular Network, in Proc. Globecom 2018, pp.1–6

  47. W. Shi, J. Li, W. Xu, H. Zhou, N. Zhang X. Shen, 3D drone-cell deployment optimization for drone assisted radio access networks, in Proc. ICCC 2017, pp.1–6

  48. W. Xu, H. Zhou, W. Shi, F. Lyu, X. Shen, Throughput analysis of in-vehicle internet access via on-road wifi access points, in Proc. VTC-Fall 2017, , pp.1–5

  49. W. Xu, Y. Wu, H. Zhou, Y. Bi, N. Cheng, X. Shen, Ti-Fi: Terminal-to-terminal communication incorporated Wi-Fi offloading, in Proc. WCSP 2016, pp.1–5

  50. W. Xu, C. Hua, A. Huang, Channel assignment and user association game in dense 802.11 wireless networks, in Proc. ICC 2011, pp.1–5

  51. W. Xu, C. Hua, A. Huang, A game theoretical approach for load balancing user association in 802.11 wireless networks, in Proc. Globecom 2010, pp.1–5

  52. X. Ding, C. Hua, W. Xu, A. Huang, A measurement study of channel dynamics in wireless mesh networks, in Proc. WCSP 2009