|
|
I am currently a postdoctoral fellow co-supervised by Prof. Elaine Shi and Prof. Giulia Fanti. My research interests includes database theory and algorithms, data security and privacy, and statistics. Previously, I received my PhD at the CSE department of HKUST, where I was very fortunate to work with Prof.Ke Yi. Before that, I obtained my Bachelor Degree from CityU.
Conference Papers
Wei Dong, Dajun Sun, and Ke Yi. “Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy.” ACM SIGMOD International Conference on Management of Data (SIGMOD), June 2023.[pdf]
Wei Dong, Ke Yi. “Universal Private Estimators.” ACM Symposium on Principles of Database Systems (PODS), June 2023.[pdf]
Wei Dong, Qiyao Luo, and Ke Yi. “Continual Observation under User-level Differential Privacy.” IEEE Symposium on Security and Privacy (S&P), May 2023.[pdf]
Wei Dong, Yuting Liang, and Ke Yi. “Differentially Private Covariance Revisited.” Advances in Neural Information Processing Systems (NeurIPS), November 2022. [full version]
Juanru Fang, Wei Dong, and Ke Yi. “Shifted Inverse: A General Mechanism for Monotonic Functions under User Differential Privacy.” ACM Conference on Computer and Communications Security (CCS), November 2022. [pdf]
Yuan Qiu, Wei Dong, Ke Yi, Bin Wu and Feifei Li. “Releasing Private Data for Numerical Queries.” ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), August 2022. [pdf]
Wei Dong, Juanru Fang, Ke Yi, Yuchao Tao, and Ashwin Machanavajjhala. “R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys.” ACM SIGMOD International Conference on Management of Data (SIGMOD), June 2022. [pdf][code] (Best paper award)
Wei Dong, Ke Yi. “A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries.” ACM Symposium on Principles of Database Systems (PODS), June 2022. [full version]
Wei Dong, Ke Yi. “Residual Sensitivity for Differentially Private Multi-Way Joins.” ACM SIGMOD International Conference on Management of Data (SIGMOD), June 2021. [full version][code]
Education
| 2018-2023 | Ph.D. in Computer Science and Engineering, HKUST |
| GPA 4.188/4.3 | |
| 2013-2017 | B.E. in Information Engineering, CityU |
| GPA 4.07/4.3, Rank 1/74 |
Awards
-
SENG PhD Research Excellence Award 2023 (one awardee per year), School of Engineering, HKUST
-
ACM SIGMOD Research Highlight Award 2023, ACM SIGMOD
-
ACM SIGMOD Best Paper Award 2022, ACM SIGMOD
-
RedBird Academic Excellence Award 2018, 2022, 2023, HKUST
-
Hong Kong PhD Fellowship 2018-2022, RGC of Hong Kong
-
Top Anchor Award 2017 (one awardee in major Information Engineering per year), Department of EE, CityU
-
CityU Scholarship 2016-2017, CityU
-
Outstanding Student Prize 2015, Department of EE, CityU
-
CityU Mainland Entrance Scholarship 2013-2017, CityU
Services
-
PC Member:ICDE 2024
-
Reviewer: Journal of Privacy and Confidentiality
Internships
| Jun 2019 to Sep 2019 | Alibaba Innovative Research(AIR) Internship in Alibaba, Hangzhou |
| Topic: Materialized view |
|
| Jul 2017 to May 2018 | Research Assistant at CityU supervised by Prof. Shuaicheng Li |
| Topic: Bioinfomatics |