2026Stress-Testing ML Pipelines with Adversarial Data Corruption.Jiongli Zhu, Geyang Xu, Felipe Lorenzi, Boris Glavic, Babak Salimi VLDB Details Paper
2026MINT: Multi-Vector Search Index Tuning.Jiongli Zhu, Yue Wang, Bailu Ding, Philip A. Bernstein, Vivek Narasayya, Surajit Chaudhuri ICDE Details Paper
2025KAIROS: Scalable Model-Agnostic Data Valuation.Jiongli Zhu*, Parjanya Prajakta Prashant*, Alex Cloninger, Babak Salimi NeurIPS Details Paper
2025Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data.Kaiyuan Hu, Jiongli Zhu, Boris Glavic, Babak Salimi SIGMOD (Demo) Details
2024Learning from Uncertain Data: From Possible Worlds to Possible Models.Jiongli Zhu, Su Feng, Boris Glavic, Babak Salimi NeurIPS Details Paper
2024Overcoming Data Biases: Towards Enhanced Accuracy and Reliability in Machine Learning.Jiongli Zhu, Babak Salimi IEEE Data Engineering Bulletin Details
2023Consistent Range Approximation for Fair Predictive Modeling.Jiongli Zhu, Sainyam Galhotra, Nazanin Sabri, Babak Salimi VLDB Details
2023Sensitive Region-Aware Black-Box Adversarial Attacks.Chenhao Lin, Sicong Han, Jiongli Zhu, Qian Li, Chao Shen, Youwei Zhang, Xiaohong Guan Information Sciences Details
2022Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher.Jiongli Zhu, Romila Pradhan, Boris Glavic, Babak Salimi SIGMOD (Demo) Details
2022Interpretable Data-Based Explanations for Fairness Debugging.Romila Pradhan, Jiongli Zhu, Boris Glavic, Babak Salimi SIGMOD Details
2021 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 SIGMOD Details
2020ELLG: Explainable Lesion Learning and Generation for Diabetic Retinopathy Detection.Chenhao Lin, Jiongli Zhu, Chao Shen, Pengwei Hu, Qian Wang IJCAI Workshop on Disease Computational Modeling (Best Paper Award) Details