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2020 – today
- 2025
[i8]Hengzhi He, Shirong Xu, Guang Cheng:
Golden Ratio Mixing of Real and Synthetic Data for Stabilizing Generative Model Training. CoRR abs/2502.18049 (2025)- [i7]Shirong Xu, Hengzhi He, Guang Cheng:
A Probabilistic Perspective on Model Collapse. CoRR abs/2505.13947 (2025) - 2024
- [i6]Shirong Xu, Will Wei Sun, Guang Cheng:
Rate-Optimal Rank Aggregation with Private Pairwise Rankings. CoRR abs/2402.16792 (2024) - [i5]Lan Tao, Shirong Xu, Chi-Hua Wang, Namjoon Suh, Guang Cheng:
Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data. CoRR abs/2405.15337 (2024) - [i4]Yaoming Zhen, Shirong Xu, Junhui Wang:
Consistent community detection in multi-layer networks with heterogeneous differential privacy. CoRR abs/2406.14772 (2024) - [i3]Namjoon Suh, Yuning Yang, Din-Yin Hsieh, Qitong Luan, Shirong Xu, Shixiang Zhu, Guang Cheng:
TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing. CoRR abs/2406.16028 (2024) - 2023
- [j1]Shirong Xu, Chendi Wang, Will Wei Sun, Guang Cheng:
Binary Classification under Local Label Differential Privacy Using Randomized Response Mechanisms. Trans. Mach. Learn. Res. 2023 (2023) - [i2]Shirong Xu, Will Wei Sun, Guang Cheng:
Ranking Differential Privacy. CoRR abs/2301.00841 (2023) - [i1]Shirong Xu, Will Wei Sun, Guang Cheng:
Utility Theory of Synthetic Data Generation. CoRR abs/2305.10015 (2023)
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