Publications

Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data.

Kaiyuan Hu, Jiongli Zhu, Boris Glavic, Babak Salimi

Published in SIGMOD (Demo), 2025

Learning from Uncertain Data: From Possible Worlds to Possible Models.

Jiongli Zhu, Su Feng, Boris Glavic, Babak Salimi

Published in NeurIPS, 2024

Overcoming Data Biases: Towards Enhanced Accuracy and Reliability in Machine Learning.

Jiongli Zhu, Babak Salimi

Published in IEEE Data Engineering Bulletin, 2024

Consistent Range Approximation for Fair Predictive Modeling.

Jiongli Zhu, Sainyam Galhotra, Nazanin Sabri, Babak Salimi

Published in VLDB, 2023

Sensitive Region-Aware Black-Box Adversarial Attacks.

Chenhao Lin, Sicong Han, Jiongli Zhu, Qian Li, Chao Shen, Youwei Zhang, Xiaohong Guan

Published in Information Sciences, 2023

Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher.

Jiongli Zhu, Romila Pradhan, Boris Glavic, Babak Salimi

Published in SIGMOD (Demo), 2022

Interpretable Data-Based Explanations for Fairness Debugging.

Romila Pradhan, Jiongli Zhu, Boris Glavic, Babak Salimi

Published in SIGMOD, 2022

Building Fast and Compact Sketches for Approximately Multi-Set Multi-Membership Querying.

Rundong Li, Pinghui Wang, Jiongli Zhu, Junzhou Zhao, Jia Di, Xiaofei Yang, Kai Ye

Published in SIGMOD, 2021

ELLG: Explainable Lesion Learning and Generation for Diabetic Retinopathy Detection.

Chenhao Lin, Jiongli Zhu, Chao Shen, Pengwei Hu, Qian Wang

Published in IJCAI Workshop on Disease Computational Modeling, 2020

(Best Paper Award)