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Career

· PhD Student, UCSD, Halıcıoğlu Data Science Institute2023–

Publications (9)

Interpretable Data-Based Explanations for Fairness Debugging
SIGMOD Conference · 2021
66
cited
Consistent Range Approximation for Fair Predictive Modeling
Proceedings of the VLDB Endowment · 2022
13
cited
Overcoming Data Biases: Towards Enhanced Accuracy and Reliability in Machine Learning
IEEE Data Engineering Bulletin · 2024
9
cited
Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher
SIGMOD Conference · 2022
5
cited
Learning from Uncertain Data: From Possible Worlds to Possible Models
Neural Information Processing Systems · 2024
2
cited
Crab: Learning Certifiably Fair Predictive Models in the Presence of Selection Bias
arXiv.org · 2022
1
cited
Stress-Testing ML Pipelines with Adversarial Data Corruption
Proceedings of the VLDB Endowment · 2025
1
cited
KAIROS: Scalable Model-Agnostic Data Valuation
arXiv.org · 2025
Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data
SIGMOD Conference Companion · 2025
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Jiongli Zhu | Researcher Profile | Sotabase | Sotabase