I am Kai Chen, a second-year PhD student at University of Virginia, advised by Dr. Tianhao Wang. I obtained my Bachelor’s degree in Mathematics and Applied Mathematics at Zhejiang University, and earned a double major in Finance. I received my Master’s degree in Statistics with Data Science from the University of Edinburgh. Before starting my PhD studies, I worked as a Data Analyst at ByteDance.
My research interest includes differential privacy, and its application in generative model. I actively welcome any collaborators. If you are interested in differential privacy and its applications in data generation, please don’t hesitate to contact me.
🔥 News
- 2025.08: 🎉🎉 Our work Benchmarking Differentially Private Tabular Data Synthesis is accepted to SIGMOD 2026.
- 2025.04: 🎉🎉 Our work Benchmarking Differentially Private Tabular Data Synthesis is presented at ICLR Workshop 2025.
- 2024.08: I start my research in the University of Virginia, under the supervision of Dr. Tianhao Wang.
📖 Educations
- 2024.09 - (now), University of Virginia
- 2020.09 - 2021.08, University of Edinburgh
- 2016.09 - 2020.06, Zhejiang Univerisity
📝 Publications
Beyond One-Size-Fits-All: Neural Networks for Differentially Private Tabular Data Synthesis (ArXiv Preprint)
K Chen, C Gong, T Wang
Benchmarking Differentially Private Tabular Data Synthesis (SIGMOD 2026; ICLR Workshop 2025)
K Chen, X Li, C Gong, R McKenna, T Wang
Maximizing Time-aware Welfare for Mixed Items (ICDE 2022)
X Miao, H Peng, K Chen, Y Peng, Y Gao, J Yin
📚 Service
- Reviewer @TDSC 2025
- Reviewer @VLDB Journal 2025
- Artifact Reviewer @SIGMOD 2025