Yuqing Zhu - RankMe

23 papers A* 6A 5Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning. ICML Erchi Wang, Yuqing Zhu, Yu-Xiang Wang
2025	—	`conf`	TokenShapley: Token Level Context Attribution with Shapley Value. ACL (Findings) Yingtai Xiao, Yuqing Zhu, Sirat Samyoun, Wanrong Zhang, Jiachen T. Wang, Jian Du
2025	J	`jnl`	TokenShapley: Token Level Context Attribution with Shapley Value. CoRR Yingtai Xiao, Yuqing Zhu, Sirat Samyoun, Wanrong Zhang, Jiachen T. Wang, Jian Du
2024	J	`jnl`	Neural Collapse Meets Differential Privacy: Curious Behaviors of NoisyGD with Near-perfect Representation Learning. CoRR Chendi Wang, Yuqing Zhu, Weijie J. Su, Yu-Xiang Wang
2024	A*	`conf`	Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning. ICML Chendi Wang, Yuqing Zhu, Weijie J. Su, Yu-Xiang Wang
2023	J	`jnl`	"Private Prediction Strikes Back!" Private Kernelized Nearest Neighbors with Individual Renyi Filter. CoRR Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang
2023	A*	`conf`	A Privacy-Friendly Approach to Data Valuation. NeurIPS Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal
2023	A	`conf`	Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy. AISTATS Rachel Redberg, Yuqing Zhu, Yu-Xiang Wang
2023	J	`jnl`	Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy. CoRR Rachel Redberg, Yuqing Zhu, Yu-Xiang Wang
2023	—	`—`	Making Differential Privacy Practical via Modern Privacy Accountings and Data-adaptive Analysis Yuqing Zhu
2023	A	`conf`	Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter. UAI Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang
2023	J	`jnl`	Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation. CoRR Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal
2022	A	`conf`	Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE. AISTATS Yuqing Zhu, Yu-Xiang Wang
2022	J	`jnl`	Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE. CoRR Yuqing Zhu, Yu-Xiang Wang
2022	A	`conf`	Optimal Accounting of Differential Privacy via Characteristic Function. AISTATS Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang
2021	J	`jnl`	Optimal Accounting of Differential Privacy via Characteristic Function. CoRR Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang
2021	A	`conf`	Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning. AISTATS Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang
2021	J	`jnl`	Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning. J. Mach. Learn. Res. Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang
2020	A*	`conf`	Improving Sparse Vector Technique with Renyi Differential Privacy. NeurIPS Yuqing Zhu, Yu-Xiang Wang
2020	A*	`conf`	Private-kNN: Practical Differential Privacy for Computer Vision. CVPR Yuqing Zhu, Xiang Yu, Manmohan Chandraker, Yu-Xiang Wang
2020	J	`jnl`	Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning. CoRR Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang
2020	J	`jnl`	Voting-based Approaches For Differentially Private Federated Learning. CoRR Yuqing Zhu, Xiang Yu, Yi-Hsuan Tsai, Francesco Pittaluga, Masoud Faraki, Manmohan Chandraker, Yu-Xiang Wang
2019	A*	`conf`	Poission Subsampled Rényi Differential Privacy. ICML Yuqing Zhu, Yu-Xiang Wang