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ORCIDYuqing Zhu 0005
Person information
- affiliation: University of California at Santa Barbara, Department of Computer Science, CA, USA
Other persons with the same name
- Yuqing Zhu — disambiguation page
- Yuqing Zhu 0001
![[0000-0001-5431-8581]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5431-8581")
— Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 1 more) - Yuqing Zhu 0002 — California State University Los Angeles, Los Angeles, CA, USA (and 1 more)
- Yuqing Zhu 0003 — Beijing Jiaotong University, School of Computer and Information Technology, China (and 2 more)
- Yuqing Zhu 0004 — Northwestern Polytechnical University, Xi'an, China
- Yuqing Zhu 0006 — Nanyang Technological University, Singapore
- Yuqing Zhu 0007 — University of Chicago, Committee on Computational Neuroscience, IL, USA
- Yuqing Zhu 0008 — Anhui University, School of Electrical Engineering and Automation, Hefei, China
- Yuqing Zhu 0009 — University of Bristol, UK
- Yuqing Zhu 0010 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
- Yuqing Zhu 0011 — Tsinghua University, Beijing, China
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2020 – today
- 2024
[c10]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 2024- [i8]Chendi Wang, Yuqing Zhu, Weijie J. Su, Yu-Xiang Wang:
Neural Collapse Meets Differential Privacy: Curious Behaviors of NoisyGD with Near-perfect Representation Learning. CoRR abs/2405.08920 (2024) - 2023
- [b1]Yuqing Zhu:
Making Differential Privacy Practical via Modern Privacy Accountings and Data-adaptive Analysis. University of California, Santa Barbara, USA, 2023 - [c9]Rachel Redberg, Yuqing Zhu, Yu-Xiang Wang:
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy. AISTATS 2023: 3977-4005 - [c8]Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal:
A Privacy-Friendly Approach to Data Valuation. NeurIPS 2023 - [c7]Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang:
Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter. UAI 2023: 2586-2596 - [i7]Rachel Redberg, Yuqing Zhu, Yu-Xiang Wang:
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy. CoRR abs/2301.00301 (2023) - [i6]Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang:
"Private Prediction Strikes Back!" Private Kernelized Nearest Neighbors with Individual Renyi Filter. CoRR abs/2306.07381 (2023) - [i5]Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal:
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation. CoRR abs/2308.15709 (2023) - 2022
- [c6]Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang:
Optimal Accounting of Differential Privacy via Characteristic Function. AISTATS 2022: 4782-4817 - [c5]Yuqing Zhu, Yu-Xiang Wang:
Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE. AISTATS 2022: 5622-5635 - [i4]Yuqing Zhu, Yu-Xiang Wang:
Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE. CoRR abs/2203.16100 (2022) - 2021
- [j1]Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang:
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning. J. Mach. Learn. Res. 22: 262:1-262:44 (2021) - [c4]Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang:
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning. AISTATS 2021: 838-846 - [i3]Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang:
Optimal Accounting of Differential Privacy via Characteristic Function. CoRR abs/2106.08567 (2021) - 2020
- [c3]Yuqing Zhu, Xiang Yu, Manmohan Chandraker, Yu-Xiang Wang:
Private-kNN: Practical Differential Privacy for Computer Vision. CVPR 2020: 11851-11859 - [c2]Yuqing Zhu, Yu-Xiang Wang:
Improving Sparse Vector Technique with Renyi Differential Privacy. NeurIPS 2020 - [i2]Yuqing Zhu, Xiang Yu, Yi-Hsuan Tsai, Francesco Pittaluga, Masoud Faraki, Manmohan Chandraker, Yu-Xiang Wang:
Voting-based Approaches For Differentially Private Federated Learning. CoRR abs/2010.04851 (2020) - [i1]Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang:
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning. CoRR abs/2011.03186 (2020)
2010 – 2019
- 2019
- [c1]Yuqing Zhu, Yu-Xiang Wang:
Poission Subsampled Rényi Differential Privacy. ICML 2019: 7634-7642
Coauthor Index
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