| 2026 | COLT | Rate-optimal community detection near the KS threshold via node-robust algorithms. | Jingqiu Ding, Yiding Hua, Kasper Lindberg, David Steurer, Aleksandr Storozhenko |
| 2026 | STOC | Computation-Utility-Privacy Tradeoffs in Bayesian Estimation. | Sitan Chen, Jingqiu Ding, Mahbod Majid, Walter McKelvie |
| 2024 | COLT | Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression. | Rares-Darius Buhai, Jingqiu Ding, Stefan Tiegel |
| 2024 | STOC | Private Graphon Estimation via Sum-of-Squares. | Hongjie Chen, Jingqiu Ding, Tommaso d'Orsi, Yiding Hua, Chih-Hung Liu, David Steurer |
| 2023 | ALT | SQ Lower Bounds for Random Sparse Planted Vector Problem. | Jingqiu Ding, Yiding Hua |
| 2023 | COLT | Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions. | Yiding Hua, Jingqiu Ding, Tommaso d'Orsi, David Steurer |
| 2022 | COLT | Fast algorithm for overcomplete order-3 tensor decomposition. | Jingqiu Ding, Tommaso d'Orsi, Chih-Hung Liu, David Steurer, Stefan Tiegel |
| 2021 | FOCS | Robust recovery for stochastic block models. | Jingqiu Ding, Tommaso d'Orsi, Rajai Nasser, David Steurer |