Journal and Conference Papers

  1. X. Xiao, W. Wang and T. Jiang, "Sensor-Assisted Rate Adaptation for UAV MU-MIMO Networks," in IEEE/ACM Transactions on Networking, 2022. doi: 10.1109/TNET.2021.3136911. https://doi.org/10.48550/arXiv.2206.11565   
  2. X. Xiao, J. Zhang, W. Wang, J. He and Q. Zhang, "DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation," IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, 2022, pp. 1888-1897, doi: 10.1109/INFOCOM48880.2022.9796657.  https://doi.org/10.48550/arXiv.2203.14481
  3. M. Noor-A-Rahim, Z. Liu, H. Lee, J. He, et al, "6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities", June 2022. DOI: 10.1109/JPROC.2022.3173031. download link
  4. H. Dong, H. Dong, W. Wang, J. He, "GPSMirror: Expanding Accurate GPS Positioning to Shadowed and Indoor Regions with Backscatter", Mobicom'23, Madrid, Spain, October 2023. download link
  5. Z. Tang, J. He, S. Flanagan, P. Procter, L. Cheng, "Cooperative Connected Smart Road Infrastructure and Autonomous Vehicles for Safe Driving", ICNP'21, 2021. download link
  6. R. Huang, W. Guan, G. Zhai, J. He and X. Chu, "Deep Graph Reinforcement Learning Based Intelligent Traffic Routing Control for Software-Defined Wireless Sensor Networks", Applied Science, Nov. 2022. download link
  7. Gao P, Zhang S, Wang W, et al. Accurate Automotive Radar Based Metric Localization with Explicit Doppler Compensation. IEEE International Conference on Robotics and Automation. arXiv preprint, 2021.  https://doi.org/10.48550/arXiv.2112.14887
  8. R. Huang, Z. Chen, G. Zhai, J. He and X. Chu, "Spatial-temporal correlation graph convolutional networks for traffic forecasting", IET Intelligent Transport Systems, Dec. 2022. download link
  9. H. Yang, D. Gu, J. He, "Towards defending adaptive backdoor attacks in Federated Learning", IEEE ICC'23, May 2023. download link
  10. R. Huang, Z. Chen, G. Zhai, J. He and X. Chu, "A Graph Entropy Measure From Urelement to Higher-Order Graphlets for Network Analysis", IEEE Tran. Network Science and Engineering, Oct. 2022. download link