Publications

Publications are listed below by type (journal articles, conference papers, book chapters), followed by conference presentations; BibTeX is provided for most entries. Citation metrics are on my Google Scholar profile.

Selected publications

Journal Articles

  1. X. Wang, Y. Chen, Q. Ye, J. Son, and O. A. Dobre, “DOCAttack: Data-Oriented Community Attack in Decentralized Federated Learning,” IEEE Transactions on Network Science and Engineering, vol. 13, pp. 10270–10288, 2026. [Paper]
    BibTeX
    @article{Wang2026TNSEDOCAttack,
      author={Wang, Xu and Chen, Yuanzhu and Ye, Qiang and Son, Jooyoung and Dobre, Octavia A.},
      title={DOCAttack: Data-Oriented Community Attack in Decentralized Federated Learning},
      journal={IEEE Transactions on Network Science and Engineering},
      volume={13},
      pages={10270--10288},
      year={2026},
      doi={10.1109/TNSE.2026.3702609}
    }
  2. X. Wang, Y. Chen, Q. Ye, and O. A. Dobre, “Teleportation Links: Mitigating Catastrophic Forgetting in Decentralized Federated Learning,” IEEE Transactions on Network Science and Engineering, vol. 13, pp. 2167–2180, 2026. [Paper]
    BibTeX
    @article{Wang2026TNSE,
      author={Wang, Xu and Chen, Yuanzhu and Ye, Qiang and Dobre, Octavia A.},
      title={Teleportation Links: Mitigating Catastrophic Forgetting in Decentralized Federated Learning},
      journal={IEEE Transactions on Network Science and Engineering},
      volume={13},
      pages={2167--2180},
      year={2026},
      doi={10.1109/TNSE.2025.3611109}
    }
  3. C. Shen, H. Xiong, X. Wang, F. Mei, and T. T. Ye, “A Fast Self-Jamming Cancellation Architecture and Algorithm for Passive RFID Sensor System,” IEEE Communications Letters, vol. 25, no. 6, pp. 2009–2013, June 2021. [Paper]
    BibTeX
    @article{Shen2021CL,
      author={Shen, Chuankui and Xiong, Haoqiu and Wang, Xu and Mei, Fengcheng and Ye, Terry Tao},
      title={A Fast Self-Jamming Cancellation Architecture and Algorithm for Passive RFID Sensor System},
      journal={IEEE Communications Letters},
      volume={25},
      number={6},
      pages={2009--2013},
      year={2021},
      doi={10.1109/LCOMM.2021.3066177}
    }
  4. Y. Ma, X. Wang, Z. Quan, and H. V. Poor, “Data-Driven Measurement of Receiver Sensitivity in Wireless Communication Systems,” IEEE Transactions on Communications, vol. 67, no. 5, pp. 3665–3676, May 2019. [Paper]
    BibTeX
    @article{Ma2019TCOM,
      author={Ma, Yuan and Wang, Xu and Quan, Zhi and Poor, H. Vincent},
      title={Data-Driven Measurement of Receiver Sensitivity in Wireless Communication Systems},
      journal={IEEE Transactions on Communications},
      volume={67},
      number={5},
      pages={3665--3676},
      year={2019},
      doi={10.1109/TCOMM.2019.2891708}
    }
  5. X. Wang, Q. Mengke, Z. Zhang, L. Song, D. Jia, and W. Song, “Power Quality Measurement of Wind Turbines Based on MATLAB,” Acta Energiae Solaris Sinica (太阳能学报), vol. 40, no. 5, pp. 1387–1393, May 2019 (in Chinese).

  6. X. Wang, Q. Mengke, Z. Zhang, L. Song, D. Jia, and W. Song, “Voltage Flicker Measurement of Wind Turbines Using Kaiser Window Correction Based on FFT and HHT,” Journal of Electronic Measurement and Instrumentation (电子测量与仪器学报), vol. 31, no. 5, pp. 802–808, May 2017 (in Chinese). [Paper] DOI: 10.13382/j.jemi.2017.05.021

Conference Papers

  1. X. Wang, Y. Chen, Q. Ye, J. Son, and O. A. Dobre, “Disrupting Cross-Community Information Flow in Decentralized Federated Learning,” IEEE International Conference on Computer Communications Workshops (INFOCOM Workshops), Tokyo, Japan, May 2026. [Paper]
    BibTeX
    @inproceedings{Wang2026INFOCOM,
      author={Wang, Xu and Chen, Yuanzhu and Ye, Qiang and Son, Jooyoung and Dobre, Octavia A.},
      title={Disrupting Cross-Community Information Flow in Decentralized Federated Learning},
      booktitle={IEEE INFOCOM Workshops},
      address={Tokyo, Japan},
      pages={1--6},
      year={2026},
      doi={10.1109/INFOCOM59046.2026.11571733}
    }
  2. X. Wang, Y. Chen, Q. Ye, and O. A. Dobre, “Connectivity Enrichment for Decentralized Federated Learning Networks with Teleportation,” IEEE INFOCOM Workshops, London, UK, May 2025. [Paper]
    BibTeX
    @inproceedings{Wang2025INFOCOM,
      author={Wang, Xu and Chen, Yuanzhu and Ye, Qiang and Dobre, Octavia A.},
      title={Connectivity Enrichment for Decentralized Federated Learning Networks with Teleportation},
      booktitle={IEEE INFOCOM Workshops},
      address={London, UK},
      pages={1--6},
      year={2025},
      doi={10.1109/INFOCOMWKSHPS65812.2025.11152750}
    }
  3. X. Wang, Y. Chen, and O. A. Dobre, “Designing Robust 6G Networks with Bimodal Distribution for Decentralized Federated Learning,” IEEE INFOCOM Workshops, Vancouver, Canada, May 2024. [Paper]
    BibTeX
    @inproceedings{Wang2024INFOCOM,
      author={Wang, Xu and Chen, Yuanzhu and Dobre, Octavia A.},
      title={Designing Robust 6G Networks with Bimodal Distribution for Decentralized Federated Learning},
      booktitle={IEEE INFOCOM Workshops},
      address={Vancouver, Canada},
      pages={1--6},
      year={2024},
      doi={10.1109/INFOCOMWKSHPS61880.2024.10620706}
    }
  4. X. Wang, Y. Liang, Y. Chen, and O. A. Dobre, “Robust Federated Learning for Energy Storage Systems,” IEEE Wireless Communications and Networking Conference (WCNC), Dubai, UAE, April 2024. [Paper]
    BibTeX
    @inproceedings{Wang2024WCNC,
      author={Wang, Xu and Liang, Yuanqi and Chen, Yuanzhu and Dobre, Octavia A.},
      title={Robust Federated Learning for Energy Storage Systems},
      booktitle={IEEE WCNC},
      address={Dubai, UAE},
      pages={1--6},
      year={2024},
      doi={10.1109/WCNC57260.2024.10570823}
    }
  5. X. Wang and Y. Qi, “A Communication-Efficient Protocol for Federated Learning in Energy Storage Systems,” Canadian Conference on Artificial Intelligence (CANAI), Montreal, Canada, June 2023. [Paper]
    BibTeX
    @inproceedings{Wang2023CANAI,
      author={Wang, Xu and Qi, Yuehan},
      title={A Communication-Efficient Protocol for Federated Learning in Energy Storage Systems},
      booktitle={CANAI},
      address={Montreal, Canada},
      year={2023},
      doi={10.21428/594757db.622f126e}
    }
  6. X. Wang, Y. Chen, and O. A. Dobre, “Malicious Model Detection for Federated Learning Empowered Energy Storage Systems,” IEEE International Conference on Computing, Networking and Communications (ICNC), Honolulu, USA, February 2023. [Paper]
    BibTeX
    @inproceedings{Wang2023ICNC,
      author={Wang, Xu and Chen, Yuanzhu and Dobre, Octavia A.},
      title={Malicious Model Detection for Federated Learning Empowered Energy Storage Systems},
      booktitle={IEEE ICNC},
      address={Honolulu, USA},
      pages={501--505},
      year={2023},
      doi={10.1109/ICNC57223.2023.10074032}
    }
  7. X. Wang, Y. Chen, and O. A. Dobre, “Federated Learning for Anomaly Detection: A Case of Real-World Energy Storage Deployment,” IEEE International Conference on Communications (ICC), Seoul, South Korea, May 2022. [Paper]
    BibTeX
    @inproceedings{Wang2022ICC,
      author={Wang, Xu and Chen, Yuanzhu and Dobre, Octavia A.},
      title={Federated Learning for Anomaly Detection: A Case of Real-World Energy Storage Deployment},
      booktitle={IEEE ICC},
      address={Seoul, South Korea},
      pages={4312--4317},
      year={2022},
      doi={10.1109/ICC45855.2022.9838875}
    }
  8. X. Wang, Y. Ma, W. Tang, Z. Quan, and H. V. Poor, “Fast Data-Driven Sensitivity Measurement for Wireless Receivers,” IEEE ICC, Shanghai, China, May 2019. [Paper]
    BibTeX
    @inproceedings{Wang2019ICC,
      author={Wang, Xu and Ma, Yuan and Tang, Weisheng and Quan, Zhi and Poor, H. Vincent},
      title={Fast Data-Driven Sensitivity Measurement for Wireless Receivers},
      booktitle={IEEE ICC},
      address={Shanghai, China},
      pages={1--6},
      year={2019},
      doi={10.1109/ICC.2019.8761438}
    }

Book Chapters

  1. X. Wang, Y. Chen, and O. A. Dobre, “Federated Learning in Mesh Networks,” in Artificial Intelligence for Future Networks, M. A. Matin, S. K. Goudos, and G. K. Karagiannidis (Eds.), IEEE Press & Wiley, December 2024, pp. 185–226. [Paper]
    BibTeX
    @incollection{Wang2024Book,
      author={Wang, Xu and Chen, Yuanzhu and Dobre, Octavia A.},
      title={Federated Learning in Mesh Networks},
      booktitle={Artificial Intelligence for Future Networks},
      editor={Matin, M. A. and Goudos, S. K. and Karagiannidis, G. K.},
      publisher={IEEE Press \& Wiley},
      pages={185--226},
      year={2024},
      doi={10.1002/9781394227952.ch6}
    }

Conference Presentations

  1. “Disrupting Cross-Community Information Flow in Decentralized Federated Learning,” IEEE INFOCOM Workshops, Tokyo, Japan, May 2026.
  2. “Connectivity Enrichment for Decentralized Federated Learning Networks with Teleportation,” IEEE INFOCOM Workshops, London, UK, May 2025.
  3. “Designing Robust 6G Networks with Bimodal Distribution for Decentralized Federated Learning,” IEEE INFOCOM Workshops, Vancouver, Canada, May 2024.
  4. “Robust Federated Learning for Energy Storage Systems,” IEEE WCNC, Dubai, UAE, April 2024.
  5. “A Communication-Efficient Protocol for Federated Learning in Energy Storage Systems,” CANAI, Montreal, Canada, June 2023.
  6. “Federated Learning for Anomaly Detection: A Case of Real-World Energy Storage Deployment,” IEEE ICC, Seoul, South Korea, May 2022.
  7. “Fast Data-Driven Sensitivity Measurement for Wireless Receivers,” IEEE ICC, Shanghai, China, May 2019.

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