Private estimation algorithms for stochastic block models and mixture models. - Hongjie Chen 004; Vincent Cohen-Addad; Tommaso d'Orsi; Alessandro Epasto; Jacob Imola; David Steurer; Stefan Tiegel (NeurIPS, 2023)

Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust. - Hongjie Chen 004; Jingqiu Ding; Yiding Hua; David Steurer (NeurIPS, 2024)

Private Graphon Estimation via Sum-of-Squares. - Hongjie Chen 004; Jingqiu Ding; Tommaso d'Orsi; Yiding Hua; Chih-Hung Liu 001; David Steurer (STOC, 2024)

Outlier-robust Mean Estimation near the Breakdown Point via Sum-of-Squares. - Hongjie Chen 004; Deepak Narayanan Sridharan; David Steurer (SODA, 2025)

Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point. - Hongjie Chen 004; Jingqiu Ding; Yiding Hua; Stefan Tiegel (CoRR, 2025)