Jinyang Li (李锦阳)
Ph.D. candidate
Database Group, Computer Science and Engineering
University of Michigan
Michigan, USA
Email: jinyli(at)umich(dot)edu
Github: JinyangLi01
About me
I am a fourth-year Ph.D. student in the Computer Science and Engineering Department at the University of Michigan, Ann Arbor. I am fortunate to be advised by Prof. H. V. Jagadish. I am a member of the Database group.
My current research focuses on data ethics: fairness, diversity and bias issues in data management systems.
For more details, please refer to my CV.
Publications
Query Refinement for Diversity Constraint Satisfaction [pdf]
Jinyang Li, Yuval Moskovitch, Julia Stoyanovich, H. V. Jagadish.
VLDB 2024
Erica: Query Refinement for Diversity Constraint Satisfaction [pdf]
Jinyang Li, Alon Silberstein, Yuval Moskovitch, Julia Stoyanovich, H. V. Jagadish.
VLDB Demo 2023
Demo Award honorable mention
Dexer: Detecting and Explaining Biased Representation in Ranking [pdf]
Yuval Moskovitch, Jinyang Li, H. V. Jagadish.
SIGMOD Demo 2023
Detection of Groups with Biased Representation in Ranking [pdf]
Jinyang Li, Yuval Moskovitch, H. V. Jagadish.
ICDE 2023
Bias analysis and mitigation in data-driven tools using provenance [pdf]
Yuval Moskovitch, Jinyang Li, H. V. Jagadish.
Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, 2022
DENOUNCER: detection of unfairness in classifiers [pdf]
Jinyang Li, Yuval Moskovitch, H. V. Jagadish.
VLDB Demo 2021
On-Off Sketch: A Fast and Accurate Sketch on Persistence [pdf]
Yinda Zhang, Jinyang Li, Yutian Lei, Tong Yang, Zhetao Li, Gong Zhang, Bin Cui.
VLDB 2021