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ORCIDWei Dong 0007
Person information
- affiliation: Hong Kong University of Science and Technology, Hong Kong, SAR, China
Other persons with the same name
- Wei Dong — disambiguation page
- Wei Dong 0001
![[0000-0003-0498-1494]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0498-1494")
— Alibaba-Zhejiang University Joint Institute of Frontier Technologies, China (and 1 more) - Wei Dong 0002 — Texas Instruments Inc., Dallas, TX, USA (and 1 more)
- Wei Dong 0003 — Ann Arbor, MI, USA (and 1 more)
- Wei Dong 0004 — Harbin Institute of Technology, State Key laboratory of Robotics and System, China
- Wei Dong 0005 — Chinese PLA General Hospital, Beijing, China
- Wei Dong 0006 — National University of Defense Technology, School of Computer, Changsha, China
- Wei Dong 0008 — Shanghai Jiao Tong University, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, China
- Wei Dong 0009 — Beijing Institute of Technology, Key Laboratory of Dynamics and Control of Flight Vehicle within Ministry of Education, School of Aerospace Engineering, China
- Wei Dong 0010 — University of Alberta, Canada (and 1 more)
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Journal Articles
- 2024
[j6]Wei Dong, Zijun Chen, Qiyao Luo, Elaine Shi, Ke Yi:
Continual Observation of Joins under Differential Privacy. Proc. ACM Manag. Data 2(3): 128 (2024)- [j5]Jianzhe Yu, Wei Dong, Juanru Fang, Dajun Sun, Ke Yi:
DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System. Proc. VLDB Endow. 17(12): 4385-4388 (2024) - 2023
- [j4]Wei Dong, Dajun Sun, Ke Yi:
Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy. Proc. ACM Manag. Data 1(2): 123:1-123:26 (2023) - [j3]Dajun Sun, Wei Dong, Ke Yi:
Confidence Intervals for Private Query Processing. Proc. VLDB Endow. 17(3): 373-385 (2023) - [j2]Wei Dong, Juanru Fang, Ke Yi, Yuchao Tao, Ashwin Machanavajjhala:
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys. SIGMOD Rec. 52(1): 115-123 (2023) - [j1]Wei Dong, Ke Yi:
Query Evaluation under Differential Privacy. SIGMOD Rec. 52(3): 6-17 (2023)
Conference and Workshop Papers
- 2023
- [c8]Wei Dong, Ke Yi:
Universal Private Estimators. PODS 2023: 195-206 - [c7]Wei Dong, Qiyao Luo, Ke Yi:
Continual Observation under User-level Differential Privacy. SP 2023: 2190-2207 - 2022
- [c6]Juanru Fang, Wei Dong, Ke Yi:
Shifted Inverse: A General Mechanism for Monotonic Functions under User Differential Privacy. CCS 2022: 1009-1022 - [c5]Yuan Qiu, Wei Dong, Ke Yi, Bin Wu, Feifei Li:
Releasing Private Data for Numerical Queries. KDD 2022: 1410-1419 - [c4]Wei Dong, Yuting Liang, Ke Yi:
Differentially Private Covariance Revisited. NeurIPS 2022 - [c3]Wei Dong, Ke Yi:
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries. PODS 2022: 213-225 - [c2]Wei Dong, Juanru Fang, Ke Yi, Yuchao Tao, Ashwin Machanavajjhala:
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys. SIGMOD Conference 2022: 759-772 - 2021
- [c1]Wei Dong, Ke Yi:
Residual Sensitivity for Differentially Private Multi-Way Joins. SIGMOD Conference 2021: 432-444
Informal and Other Publications
- 2024
- [i5]Wei Dong, Qiyao Luo, Giulia Fanti, Elaine Shi, Ke Yi:
Instance-optimal Clipping for Summation Problems in the Shuffle Model of Differential Privacy. CoRR abs/2403.10116 (2024) - [i4]Qiyao Luo, Yilei Wang, Wei Dong, Ke Yi:
Secure Query Processing with Linear Complexity. CoRR abs/2403.13492 (2024) - 2022
- [i3]Wei Dong, Yuting Liang, Ke Yi:
Differentially Private Covariance Revisited. CoRR abs/2205.14324 (2022) - 2021
- [i2]Wei Dong, Ke Yi:
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries. CoRR abs/2105.05443 (2021) - [i1]Wei Dong, Ke Yi:
Universal Private Estimators. CoRR abs/2111.02598 (2021)
Coauthor Index
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