Li Xiong

First name
Li
Last name
Xiong
Liu, Y., Zhao, S., Xiong, L., Liu, Y., & Chen, H. (2023). Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. In Proceedings of the AAAI Conference on Artificial Intelligence. Retrieved from https://par.nsf.gov/biblio/10391220
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Wang, W., Tang, P., Lou, J., Shao, Y., Waller, L., Ko, Y.- an, & Xiong, L. (2024). IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity. In The 38th Annual AAAI Conference on Artificial Intelligence. AAAI Press. http://doi.org/10.1609/aaai.v38i14.29491
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Da, Y., Ahuja, R., Xiong, L., & Shahabi, C. (2021). REACT:Real-Time Contact Tracing and Risk Monitoring via PrivacyEnhanced Mobile Tracking. In IEEE International Conference on Data Engineering. Retrieved from https://par.nsf.gov/biblio/10225082
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Seyedi, S., Xiong, L., Nemati, S., & Clifford, G. D. (2021). An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms. In Association for the Advancement of Artificial Intelligence Workshop on Privacy Preserving AI. Retrieved from https://par.nsf.gov/biblio/10392681
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Liu, J., Lou, J., Liu, J., Xiong, L., Pei, J., & Sun, J. (2021). Dealer: an end-to-end model marketplace with differential privacy. Proceedings of the VLDB Endowment, 14(6), 13. http://doi.org/10.14778/3447689.3447700
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Liu, J., Lou, J., Xiong, L., Liu, J., & Meng, X. (2021). Projected federated averaging with heterogeneous differential privacy. Proceedings of the VLDB Endowment, 15(4), 13. http://doi.org/10.14778/3503585.3503592
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Xie, H., Ma, J., Xiong, L., & Yang, C. (2021). Federated graph classification over non-iid graphs. In Advances in neural information processing systems. Retrieved from https://par.nsf.gov/biblio/10332813
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Ma, J., Zhang, Q., Lou, J., Xiong, L., Bhavani, S., & Ho, J. C. (2021). Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. In 2021 IEEE International Conference on Data Mining (ICDM) (p. 6). http://doi.org/10.1109/ICDM51629.2021.00147
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Wang, H., Hong, H., Xiong, L., Qin, Z., & Hong, Y. (2022). PrivLBS: Local Differential Privacy for Location-Based Services with Staircase Randomized Response. In Proceedings of the ACM Conference on Computer and Communications Security. Retrieved from https://par.nsf.gov/biblio/10353743
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