Jialin Ding

According to our database, Jialin Ding authored at least 22 papers between 2018 and 2025.

Collaborative distances:

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

2025

Parachute: Single-Pass Bi-Directional Information Passing.

Mihail Stoian, Andreas Zimmerer, Skander Krid, Amadou Latyr Ngom, Jialin Ding, Tim Kraska, Andreas Kipf

CoRR, June, 2025

KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes.

Eugenie Lai, Gerardo Vitagliano, Ziyu Zhang, Sivaprasad Sudhir, Om Chabra, Anna Zeng, Anton A. Zabreyko, Chenning Li, Ferdi Kossmann, Jialin Ding, Jun Chen, Markos Markakis, Matthew Russo, Weiyang Wang, Ziniu Wu, Michael J. Cafarella, Lei Cao, Samuel Madden, Tim Kraska

CoRR, June, 2025

TailorSQL: An NL2SQL System Tailored to Your Query Workload.

Kapil Vaidya, Jialin Ding, Sebastian Kosak, David Kernert, Chuan Lei, Xiao Qin, Abhinav Tripathy, Ramesh Balan, Balakrishnan Narayanaswamy, Tim Kraska

CoRR, May, 2025

ODIN: A NL2SQL Recommender to Handle Schema Ambiguity.

Kapil Vaidya, Abishek Sankararaman, Jialin Ding, Chuan Lei, Xiao Qin, Balakrishnan Narayanaswamy, Tim Kraska

CoRR, May, 2025

Utilizing Past User Feedback for More Accurate Text-to-SQL.

Matthias Urban, Jialin Ding, David Kernert, Kapil Vaidya, Tim Kraska

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2025

Enhancing In-Memory Spatial Indexing with Learned Search.

Varun Pandey, Alexander van Renen, Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Jialin Ding, Volker Markl, Alfons Kemper

Proceedings of the Datenbanksysteme für Business, 2025

2024

Automated Multidimensional Data Layouts in Amazon Redshift.

Jialin Ding, Matt Abrams, Sanghita Bandyopadhyay, Luciano Di Palma, Yanzhu Ji, Davide Pagano, Gopal Paliwal, Panos Parchas, Pascal Pfeil, Orestis Polychroniou, Gaurav Saxena, Aamer Shah, Amina Voloder, Sherry Xiao, Davis Zhang, Tim Kraska

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Learning Bit Allocations for Z-Order Layouts in Analytic Data Systems.

Jenny Gao, Jialin Ding, Sivaprasad Sudhir, Samuel Madden

Proceedings of the Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2024

2022

Instance-Optimized Database Indexes and Storage Layouts

Jialin Ding

PhD thesis, 2022

SageDB: An Instance-Optimized Data Analytics System.

Jialin Ding, Ryan Marcus, Andreas Kipf, Vikram Nathan, Aniruddha Nrusimha, Kapil Vaidya, Alexander van Renen, Tim Kraska

Proc. VLDB Endow., 2022

Self-Organizing Data Containers.

Samuel Madden, Jialin Ding, Tim Kraska, Sivaprasad Sudhir, David E. Cohen, Timothy G. Mattson, Nesime Tatbul

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

APEX: A High-Performance Learned Index on Persistent Memory.

Baotong Lu, Jialin Ding, Eric Lo, Umar Farooq Minhas, Tianzheng Wang

Proc. VLDB Endow., 2021

Instance-Optimized Data Layouts for Cloud Analytics Workloads.

Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska

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

2020

Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads.

Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska

Proc. VLDB Endow., 2020

Cortex: Harnessing Correlations to Boost Query Performance.

Vikram Nathan, Jialin Ding, Tim Kraska, Mohammad Alizadeh

CoRR, 2020

The Case for Learned Spatial Indexes.

Varun Pandey, Alexander van Renen, Andreas Kipf, Jialin Ding, Ibrahim Sabek, Alfons Kemper

Proceedings of the AIDB@VLDB 2020, 2020

Learning Multi-Dimensional Indexes.

Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska

Proceedings of the 2020 International Conference on Management of Data, 2020

ALEX: An Updatable Adaptive Learned Index.

Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David B. Lomet, Tim Kraska

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

LISA: Towards Learned DNA Sequence Search.

Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Md. Vasimuddin, Tim Kraska

CoRR, 2019

ALEX: An Updatable Adaptive Learned Index.

Jialin Ding, Umar Farooq Minhas, Hantian Zhang, Yinan Li, Chi Wang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David B. Lomet

CoRR, 2019

2018

MacroBase: Prioritizing Attention in Fast Data.

Firas Abuzaid, Peter Bailis, Jialin Ding, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, Sahaana Suri

ACM Trans. Database Syst., 2018

Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries.

Edward Gan, Jialin Ding, Kai Sheng Tai, Vatsal Sharan, Peter Bailis

Proc. VLDB Endow., 2018