Li Xiong

Liu, R. ., Zeighami, S. ., Lin, H. ., Shahabi, C. ., Cao, Y. ., Takagi, S. ., … Xiong, L. . (2023). Supporting Pandemic Preparedness with Privacy Enhancing Technology. In (p. 10). IEEE. http://doi.org/10.1109/TPS-ISA58951.2023.00014

Zhang, J. ., Xia, H. ., Sun, Q. ., Liu, J. ., Xiong, L. ., Pei, J. ., & Ren, K. . (2023). Dynamic Shapley Value Computation. In 2023 IEEE 39th International Conference on Data Engineering (ICDE) (p. 14). http://doi.org/10.1109/ICDE55515.2023.00055

Xie, H. ., Xiong, L. ., & Yang, C. . (2023). Federated Node Classification over Graphs with Latent Link-type Heterogeneity. In WWW ’23: Proceedings of the ACM Web Conference 2023 (p. 11). http://doi.org/10.1145/3543507.3583471

Zhang, J. ., Sun, Q. ., Liu, J. ., Xiong, L. ., Pei, J. ., & Ren, K. . (2023). Efficient Sampling Approaches to Shapley Value Approximation. Proceedings of the ACM on Management of Data, 1(1), 24. http://doi.org/10.1145/3588728

Zhang, M. ., Lin, H. ., Takagi, S. ., Cao, Y. ., Shahabi, C. ., & Xiong, L. . (2023). CSGAN: Modality-Aware Trajectory Generation via Clustering-based Sequence GAN. In IEEE International Conference on Mobile Data Management (p. 10). IEEE. http://doi.org/10.1109/MDM58254.2023.00032

Xia, H. ., Liu, J. ., Lou, J. ., Qin, Z. ., Ren, K. ., Cao, Y. ., & Xiong, L. . (2023). Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets. Proceedings of the VLDB Endowment, 16(11), 14. http://doi.org/10.14778/3611479.3611531

Sun, Q. ., Li, X. ., Zhang, J. ., Xiong, L. ., Liu, W. ., Liu, J. ., … Ren, K. . (2023). ShapleyFL: Robust Federated Learning Based on Shapley Value. In KDD ’23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (p. 13). http://doi.org/10.1145/3580305.3599500

Zhang, S. ., Lou, J. ., Xiong, L. ., Zhang, X. ., & Liu, J. . (2023). Closed-form Machine Unlearning for Matrix Factorization. In 32nd ACM International Conference on Information and Knowledge Management. Retrieved from https://par.nsf.gov/biblio/10448802

Liu, J. ., , , Zhang, X. ., Xiong, L. ., & Qin, Z. . (2023). MUter: Machine Unlearning on Adversarial Training Models. In International Conference on Computer Vision. Retrieved from https://par.nsf.gov/biblio/10448795

Liu, J. ., Lou, J. ., Xiong, L. ., & Meng, X. . (2023). Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. In 32nd ACM International Conference on Information and Knowledge Management. Retrieved from https://par.nsf.gov/biblio/10448800