Conference Publications

• Xiang Li, Buxin Su, Chendi Wang, Qi Long, Weijie J. Su. Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy. NeurIPS (Spotlight). 2025.

• Chendi Wang, Yuqing Zhu, Weijie J. Su, Yu-Xiang Wang. Neural Collapse meets differential privacy: Curious behaviors of NoisyGD with near-perfect representation learning. ICML (Oral Presentation), 2024.

• Chendi Wang, Buxin Su, Jiayuan Ye, Reza Shokri, Weijie J. Su. Unified enhancement of privacy bounds for mixture mechanisms via f-differential privacy. NeurIPS, 2023.

• Ximing Li, Chendi Wang, and Guang Cheng.  Statistical theory of differentially private marginal-based data synthesis algorithms. ICLR , 2023.