Ranking Differential Privacy. - Shirong Xu; Will Wei Sun; Guang Cheng 003 (CoRR, 2023)

Utility Theory of Synthetic Data Generation. - Shirong Xu; Will Wei Sun; Guang Cheng 003 (CoRR, 2023)

Binary Classification under Local Label Differential Privacy Using Randomized Response Mechanisms. - Shirong Xu; Chendi Wang; Will Wei Sun; Guang Cheng 003 (Trans. Mach. Learn. Res., 2023)

Rate-Optimal Rank Aggregation with Private Pairwise Rankings. - Shirong Xu; Will Wei Sun; Guang Cheng 003 (CoRR, 2024)

Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data. - Lan Tao; Shirong Xu; Chi-Hua Wang; Namjoon Suh; Guang Cheng 003 (CoRR, 2024)

Consistent community detection in multi-layer networks with heterogeneous differential privacy. - Yaoming Zhen; Shirong Xu; Junhui Wang (CoRR, 2024)

TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing. - Namjoon Suh; Yuning Yang; Din-Yin Hsieh; Qitong Luan; Shirong Xu; Shixiang Zhu; Guang Cheng 003 (CoRR, 2024)

Golden Ratio Mixing of Real and Synthetic Data for Stabilizing Generative Model Training. - Hengzhi He; Shirong Xu; Guang Cheng 003 (CoRR, 2025)

A Probabilistic Perspective on Model Collapse. - Shirong Xu; Hengzhi He; Guang Cheng 003 (CoRR, 2025)

When Less Is More: Binary Feedback Can Outperform Ordinal Comparisons in Ranking Recovery. - Shirong Xu; Jingnan Zhang; Junhui Wang (CoRR, 2025)