Jingqiu Ding - RankMe

20 papers A* 7B 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computation-Utility-Privacy Tradeoffs in Bayesian Estimation. CoRR Sitan Chen, Jingqiu Ding, Mahbod Majid, Walter McKelvie
2025	J	`jnl`	Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point. CoRR Hongjie Chen, Jingqiu Ding, Yiding Hua, Stefan Tiegel
2025	J	`jnl`	Low degree conjecture implies sharp computational thresholds in stochastic block model. CoRR Jingqiu Ding, Yiding Hua, Lucas Slot, David Steurer
2025	J	`jnl`	Rate-optimal community detection near the KS threshold via node-robust algorithms. CoRR Jingqiu Ding, Yiding Hua, Kasper Lindberg, David Steurer, Aleksandr Storozhenko
2024	A*	`conf`	Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression. COLT Rares-Darius Buhai, Jingqiu Ding, Stefan Tiegel
2024	J	`jnl`	Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression. CoRR Rares-Darius Buhai, Jingqiu Ding, Stefan Tiegel
2024	A*	`conf`	Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust. NeurIPS Hongjie Chen, Jingqiu Ding, Yiding Hua, David Steurer
2024	J	`jnl`	Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust. CoRR Hongjie Chen, Jingqiu Ding, Yiding Hua, David Steurer
2024	A*	`conf`	Private Graphon Estimation via Sum-of-Squares. STOC Hongjie Chen, Jingqiu Ding, Tommaso d'Orsi, Yiding Hua, Chih-Hung Liu, David Steurer
2024	J	`jnl`	Private graphon estimation via sum-of-squares. CoRR Hongjie Chen, Jingqiu Ding, Tommaso d'Orsi, Yiding Hua, Chih-Hung Liu, David Steurer
2023	A*	`conf`	Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions. COLT Yiding Hua, Jingqiu Ding, Tommaso d'Orsi, David Steurer
2023	J	`jnl`	Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions. CoRR Jingqiu Ding, Tommaso d'Orsi, Yiding Hua, David Steurer
2023	B	`conf`	SQ Lower Bounds for Random Sparse Planted Vector Problem. ALT Jingqiu Ding, Yiding Hua
2023	J	`jnl`	SQ Lower Bounds for Random Sparse Planted Vector Problem. CoRR Jingqiu Ding, Yiding Hua
2022	A*	`conf`	Fast algorithm for overcomplete order-3 tensor decomposition. COLT Jingqiu Ding, Tommaso d'Orsi, Chih-Hung Liu, David Steurer, Stefan Tiegel
2022	J	`jnl`	Fast algorithm for overcomplete order-3 tensor decomposition. CoRR Jingqiu Ding, Tommaso d'Orsi, Chih-Hung Liu, Stefan Tiegel, David Steurer
2021	A*	`conf`	Robust recovery for stochastic block models. FOCS Jingqiu Ding, Tommaso d'Orsi, Rajai Nasser, David Steurer
2021	J	`jnl`	Robust recovery for stochastic block models. CoRR Jingqiu Ding, Tommaso d'Orsi, Rajai Nasser, David Steurer
2020	A*	`conf`	Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks. NeurIPS Jingqiu Ding, Samuel B. Hopkins, David Steurer
2020	J	`jnl`	Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks. CoRR Jingqiu Ding, Samuel B. Hopkins, David Steurer