Conghao Zhou

Conghao Zhou

Xidian University

Publications

Also accessible on my Google Scholar profile.

Selected Journal Papers

  1. C. Zhou, S. Hu, J. Gao, X. Huang, W. Zhuang, and X. Shen, "User-centric Immersive Communications in 6G: A Data-oriented Framework via Digital Twin," [WCM] IEEE Wireless Communications, to appear.
  2. C. Zhou, J. Gao, M. Li, N. Cheng, X. Shen, and W. Zhuang, "Digital Twin-based 3D Map Management for Edge-assisted Device Pose Tracking in Mobile AR," [IOTJ] IEEE Internet of Things Journal, vol. 11, no. 10, pp. 17812-17826, 2024.
  3. C. Zhou, J. Gao, M. Li, X. Shen, W. Zhuang, X. Li, and W. Shi, "AI-Assisted Slicing-Based Resource Management for Two-Tier Radio Access Networks," [TCCN] IEEE Transactions on Cognitive Communications and Networking, vol. 9, no. 6, pp. 1691-1706, 2023.
  4. C. Zhou, J. Gao, M. Li, X. Shen, and W. Zhuang, "Digital Twin-Empowered Network Planning for Multi-Tier Computing," [JCIN] Journal of Communications and Information Networks, vol. 7, no. 3, pp. 221-238, 2022. [Cover Article]
  5. 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 SAGIN," [TWC] IEEE Transactions on Wireless Communications, vol. 20, no. 2, pp. 911-925, 2021.
  6. S. Hu, J. Gao, X. Qin, C. Zhou, X. Huang, M. Li, M. He, and X. Shen, "Drift-Adaptive Slicing-Based Resource Management for Cooperative ISAC Networks," [TCCN] IEEE IEEE Transactions on Cognitive Communications and Networking, accepted, 2025
  7. M. Li, J. Gao, C. Zhou, L. Zhao, and X. Shen, "Digital Twin-Empowered Resource Allocation for On-Demand Collaborative Sensing," [IOTJ] IEEE Internet of Things Journal, accepted, 2024.
  8. L. Ma, N. Cheng, C. Zhou, X. Wang, N. Lu, N. Zhang, K. Aldubaikhy, and A. Alqasir, "Dynamic Neural Network-Based Resource Management for Mobile Edge Computing in 6G Networks," [TCCN] IEEE Transactions on Cognitive Communications and Networking, vol. 10, no. 3, pp. 953-967, 2024.
  9. 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," [JSAC] IEEE Journal on Selected Areas in Communications, vol. 41, no. 4, pp. 1051-1066, 2023.
  10. X. Shen, J. Gao, M. Li, C. Zhou, S. Hu, M. He, and W. Zhuang, "Towards Immersive Communications in 6G," Frontiers in Computer Science, vol. 4, pp. 168-168, 2022.
  11. W. Wu, C. Zhou, M. Li, H. Wu, H. Zhou, X. Shen, and W. Zhuang, "AI-Native Network Slicing for 6G Networks," [WCM] IEEE Wireless Communications, vol. 29, no. 1, pp. 96-103, 2022.
  12. 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, 2022. [Invited Paper]
  13. 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," [JSAC] IEEE Journal on Selected Areas in Communications, vol. 39, no. 7, pp. 2076-2089, 2021.
  14. W. Wu, P. Yang, W. Zhang, C. Zhou, and X. Shen, "Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning," [TII] IEEE Transactions on Industrial Informatics, vol. 17, no. 7, pp. 4988-4998, 2021.
  15. X. Shen, N. Cheng, H. Zhou, F. Lyu, W. Quan, W. Shi, H. Wu, and C. Zhou, "Space-Air-Ground Integrated Networks: Review and Prospect," Chinese Journal on Internet of Things, vol. 4, no. 3, pp. 3-10, 2020.
  16. 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," [WCM] IEEE Wireless Communications, vol. 27, no. 6, pp. 52-60, 2020.
  17. H. Wu, F. Lyu, C. Zhou, J. Chen, L. Wang, and X. Shen, "Optimal UAV Caching and Trajectory in Aerial-Assisted Vehicular Networks: A Learning-Based Approach," [JSAC] IEEE Journal on Selected Areas in Communications, vol. 38, no. 12, pp. 2783-2797, 2020.
  18. N. Cheng, F. Lyu, W. Quan, C. Zhou, H. He, W. Shi, and X. Shen, "Space/Aerial-Assisted Computing Offloading for IoT Applications: A Learning-Based Approach," [JSAC] IEEE Journal on Selected Areas in Communications, vol. 37, no. 5, pp. 1117-1129, 2019.

Selected Conference Papers

  1. C. Zhou, J. Gao, Y. Liu, S. Hu, N. Cheng, and X. Shen, "User-Centric Service Provision for Edge-Assisted Mobile AR: A Digital Twin-Based Approach," ICCC 2024 --- IEEE/CIC International Conference on Communications in China, Hangzhou, China, 2024.
  2. C. Zhou, J. Gao, M. Li, N. Cheng, X. Shen and W. Zhuang, "Digital Twin-Based 3D Map Management for Edge-Assisted Mobile Augmented Reality," ICCC 2023 --- IEEE/CIC International Conference on Communications in China, Dalian, China, 2023.
  3. C. Zhou, H. Wu, M. He, W. Wu, N. Cheng, and X. Shen, "Adaptive Access Mode Selection in Space-Ground Integrated Vehicular Networks," GLOBECOM 2021 --- IEEE Global Communications Conference, Madrid, Spain, 2021.
  4. 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," GLOBECOM 2019 --- IEEE Global Communications Conference, Waikoloa, HI, USA, 2019.
  5. C. Zhou, H. He, P. Yang, F. Lyu, W. Wu, N. Cheng, and X. Shen, "Deep RL-Based Trajectory Planning for AoI Minimization in UAV-Assisted IoT," WCSP 2019 --- IEEE International Conference on Wireless Communications and Signal Processing, Xi'an, China, 2019.
  6. M. Li, J. Gao, C. Zhou, L. Zhao, and X. Shen, "On-Demand Collaborative Sensing with Digital Twin-Driven Resource Allocation," VTC-Fall 2024 --- IEEE Vehicular Technology Conference, Washington DC, USA, 2024.
  7. S. Hu, J. Gao, X. Huang, C. Zhou, M. He, and X. Shen, "Model Drift-Adaptive Resource Reservation in ISAC Networks: A Digital Twin-Based Approach," ICCC 2024 --- IEEE/CIC International Conference on Communications in China, Hangzhou, China, 2024.
  8. B. Guo, C. Zhou, H. Liu, S. He, J. Chen, and X. Shen, "Attention-based Vision Knowledge Adaptation for Constrained Continual Learning," GLOBECOM 2024 --- IEEE Global Communications Conference, Cape Town, South Africa, 2024.
  9. M. He, H. Wu, C. Zhou, S. Hu, Z. Tang, and W. Zhuang, "Digital Twin-Assisted Robust and Adaptive Resource Slicing in LEO Satellite Networks," GLOBECOM 2024 --- IEEE Global Communications Conference, Cape Town, South Africa, 2024. [Best Paper]
  10. J. He, N. Cheng, Z. Yin, C. Zhou, W. Quan, and H. Zhou, "Joint Service Deployment and Mobile Edge Computing in Space-Air-Ground Integrated Network," GLOBECOM 2024 Workshop --- IEEE Global Communications Conference, Cape Town, South Africa, 2024.
  11. S. Hu, J. Gao, X. Huang, M. Li, K. Qu, C. Zhou, and X. Shen, "Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication," ICC 2024 --- IEEE International Conference on Communications, Denver, CO, USA, 2024.
  12. M. He, H. Wu, C. Zhou, and X. Shen, "Resource Slicing with Cross-Cell Coordination in Satellite-Terrestrial Integrated Networks," ICC 2024 --- IEEE International Conference on Communications, Denver, CO, USA, 2024.
  13. 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," PIMRC 2023 --- IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Toronto, Canada, 2023. [Best Paper]
  14. X. Huang, M Li, W. Wu, C. Zhou, and X. Shen, "Digital Twin-Assisted Collaborative Transcoding for Better User Satisfaction in Live Streaming," ICC 2023 --- IEEE International Conference on Communications, Rome, Italy, 2023.
  15. M. Li, J. Gao, C. Zhou, X. Shen, and W. Zhuang, "Adaptive Mobile VR Content Delivery for Industrial 5.0," AIIOT 2022 --- ACM Proceedings of the Workshop on Digital Twin & Edge AI for Industrial IoT, New York, NY, USA, 2022.
  16. M. Li, J. Gao, C. Zhou, X. Shen, and W. Zhuang, "Digital Twin-Driven Computing Resource Management for Vehicular Networks," GLOBECOM 2022 --- IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022.
  17. H. Wu, J. Chen, C. Zhou, F. Lyu, N. Zhang, L. Wang, and X. Shen, "Load- and Mobility-Aware Cooperative Content Delivery in SAG Integrated Vehicular Networks," ICC 2021 --- IEEE International Conference on Communications, Montreal, Canada, 2021.
  18. W. Wang, C. Zhou, H. He, W. Wu, W. Zhuang, and X. Shen, "Cellular Traffic Load Prediction with LSTM and Gaussian Process Regression," ICC 2020 --- IEEE International Conference on Communications, Dublin, Ireland, 2020.