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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.
Journal Papers
Wei Dong and Ke Yi. "Query Evaluation under Differential Privacy." SIGMOD Record, 52(3):6-17, September 2023.[pdf]
Conference Papers
Wei Dong, Zijun Chen, Qiyao Luo, Elaine Shi, and Ke Yi. “Continual Observation of Joins under Differential Privacy.” ACM SIGMOD International Conference on Management of Data (SIGMOD), June 2024.
Dajun Sun, Wei Dong, and Ke Yi. “Confidence Intervals for Private Query Processing.” International Conference on Very Large Data Bases (VLDB), August 2024.
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
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SIGMOD Jim Gray Doctoral Dissertation Award Runner-up 2024, ACM SIGMOD
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Best PhD Dissertation Award 2023, CSE, HKUST
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SENG PhD Research Excellence Award 2023 (one awardee per year), School of Engineering, HKUST
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ACM SIGMOD Research Highlight Award 2023, ACM SIGMOD
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ACM SIGMOD Best Paper Award 2022, ACM SIGMOD
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RedBird Academic Excellence Award 2018, 2022, 2023, HKUST
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Hong Kong PhD Fellowship 2018-2022, RGC of Hong Kong
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Top Anchor Award 2017 (one awardee in major Information Engineering per year), Department of EE, CityU
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CityU Scholarship 2016-2017, CityU
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Outstanding Student Prize 2015, Department of EE, CityU
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CityU Mainland Entrance Scholarship 2013-2017, CityU
Services
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PC Member:ICDE 2024
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Reviewer: Journal of Privacy and Confidentiality
Internships
| Jun 2019 to Sep 2019 | Alibaba Innovative Research(AIR) Internship in Alibaba, Hangzhou |
| Topic: Materialized view |
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| Jul 2017 to May 2018 | Research Assistant at CityU supervised by Prof. Shuaicheng Li |
| Topic: Bioinfomatics |