Jiongli Zhu

According to our database, Jiongli Zhu authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Residual Skill Optimization for Text-to-SQL Ensembles.

Jiongli Zhu, Haoquan Guan, Parjanya Prajakta Prashant, Nikki Lijing Kuang, Seyedeh Baharan Khatami, Canwen Xu, Xiaodong Yu, Yingyu Lin, Zhewei Yao, Yuxiong He, Babak Salimi

CoRR, May, 2026

Fine-Tuning Without Forgetting via Loss-Adaptive Learning Rates.

Parjanya Prajakta Prashant, Jiongli Zhu, Aldan Creo, Babak Salimi

CoRR, May, 2026

2025

Stress-Testing ML Pipelines with Adversarial Data Corruption.

Jiongli Zhu, Geyang Xu, Felipe Lorenzi, Boris Glavic, Babak Salimi

Proc. VLDB Endow., July, 2025

KAIROS: Scalable Model-Agnostic Data Valuation.

Jiongli Zhu, Parjanya Prajakta Prashant, Alex Cloninger, Babak Salimi

CoRR, June, 2025

MINT: Multi-Vector Search Index Tuning.

Jiongli Zhu, Yue Wang, Bailu Ding, Philip A. Bernstein, Vivek R. Narasayya, Surajit Chaudhuri

CoRR, April, 2025

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

Kaiyuan Hu, Jiongli Zhu, Boris Glavic, Babak Salimi

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

KAIROS: Scalable Model-Agnostic Data Valuation.

Jiongli Zhu, Parjanya Prashant, Alex Cloninger, Babak Salimi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

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

Jiongli Zhu, Babak Salimi

IEEE Data Eng. Bull., 2024

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

Jiongli Zhu, Su Feng, Boris Glavic, Babak Salimi

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Sensitive region-aware black-box adversarial attacks.

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

Inf. Sci., August, 2023

Consistent Range Approximation for Fair Predictive Modeling.

Jiongli Zhu, Sainyam Galhotra, Nazanin Sabri, Babak Salimi

Proc. VLDB Endow., 2023

2022

Crab: Learning Certifiably Fair Predictive Models in the Presence of Selection Bias.

Jiongli Zhu, Nazanin Sabri, Sainyam Galhotra, Babak Salimi

CoRR, 2022

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

Jiongli Zhu, Romila Pradhan, Boris Glavic, Babak Salimi

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Interpretable Data-Based Explanations for Fairness Debugging.

Romila Pradhan, Jiongli Zhu, Boris Glavic, Babak Salimi

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

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

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021