Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries. - Edward Gan; Jialin Ding 001; Kai Sheng Tai; Vatsal Sharan; Peter Bailis (Proc. VLDB Endow., 2018)

MacroBase: Prioritizing Attention in Fast Data. - Firas Abuzaid; Peter Bailis; Jialin Ding 001; Edward Gan; Samuel Madden 001; Deepak Narayanan; Kexin Rong 001; Sahaana Suri (ACM Trans. Database Syst., 2018)

ALEX: An Updatable Adaptive Learned Index. - Jialin Ding 001; Umar Farooq Minhas; Hantian Zhang; Yinan Li; Chi Wang 001; Badrish Chandramouli; Johannes Gehrke; Donald Kossmann; David B. Lomet (CoRR, 2019)

LISA: Towards Learned DNA Sequence Search. - Darryl Ho; Jialin Ding 001; Sanchit Misra; Nesime Tatbul; Vikram Nathan; Md. Vasimuddin; Tim Kraska (CoRR, 2019)

ALEX: An Updatable Adaptive Learned Index. - Jialin Ding 001; Umar Farooq Minhas; Jia Yu 001; Chi Wang 001; Jaeyoung Do; Yinan Li; Hantian Zhang; Badrish Chandramouli; Johannes Gehrke; Donald Kossmann; David B. Lomet; Tim Kraska (SIGMOD Conference, 2020)

Learning Multi-Dimensional Indexes. - Vikram Nathan; Jialin Ding 001; Mohammad Alizadeh; Tim Kraska (SIGMOD Conference, 2020)

The Case for Learned Spatial Indexes. - Varun Pandey; Alexander van Renen; Andreas Kipf; Jialin Ding 001; Ibrahim Sabek; Alfons Kemper (AIDB@VLDB, 2020)

Cortex: Harnessing Correlations to Boost Query Performance. - Vikram Nathan; Jialin Ding 001; Tim Kraska; Mohammad Alizadeh (CoRR, 2020)

Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. - Jialin Ding 001; Vikram Nathan; Mohammad Alizadeh; Tim Kraska (Proc. VLDB Endow., 2020)

Instance-Optimized Data Layouts for Cloud Analytics Workloads. - Jialin Ding 001; Umar Farooq Minhas; Badrish Chandramouli; Chi Wang 001; Yinan Li; Ying Li; Donald Kossmann; Johannes Gehrke; Tim Kraska (SIGMOD Conference, 2021)

APEX: A High-Performance Learned Index on Persistent Memory. - Baotong Lu; Jialin Ding 001; Eric Lo 001; Umar Farooq Minhas; Tianzheng Wang 001 (Proc. VLDB Endow., 2021)

Self-Organizing Data Containers. - Samuel Madden 001; Jialin Ding 001; Tim Kraska; Sivaprasad Sudhir; David E. Cohen; Timothy G. Mattson; Nesime Tatbul (CIDR, 2022)

SageDB: An Instance-Optimized Data Analytics System. - Jialin Ding 001; Ryan Marcus; Andreas Kipf; Vikram Nathan; Aniruddha Nrusimha; Kapil Vaidya; Alexander van Renen; Tim Kraska (Proc. VLDB Endow., 2022)

Instance-Optimized Database Indexes and Storage Layouts - Jialin Ding 001 (2022)

Learning Bit Allocations for Z-Order Layouts in Analytic Data Systems. - Jenny Gao; Jialin Ding 001; Sivaprasad Sudhir; Samuel Madden 001 (aiDM@SIGMOD, 2024)

Automated Multidimensional Data Layouts in Amazon Redshift. - Jialin Ding 001; Matt Abrams; Sanghita Bandyopadhyay; Luciano Di Palma; Yanzhu Ji; Davide Pagano; Gopal Paliwal; Panos Parchas; Pascal Pfeil; Orestis Polychroniou; Gaurav Saxena; Aamer Shah; et al. (SIGMOD Conference Companion, 2024)

Enhancing In-Memory Spatial Indexing with Learned Search. - Varun Pandey; Alexander van Renen; Eleni Tzirita Zacharatou; Andreas Kipf; Ibrahim Sabek; Jialin Ding 001; Volker Markl; Alfons Kemper (BTW, 2025)

Utilizing Past User Feedback for More Accurate Text-to-SQL. - Matthias Urban; Jialin Ding 001; David Kernert; Kapil Vaidya; Tim Kraska (HILDA@SIGMOD, 2025)

ODIN: A NL2SQL Recommender to Handle Schema Ambiguity. - Kapil Vaidya; Abishek Sankararaman; Jialin Ding 001; Chuan Lei; Xiao Qin; Balakrishnan Narayanaswamy; Tim Kraska (CoRR, 2025)

TailorSQL: An NL2SQL System Tailored to Your Query Workload. - Kapil Vaidya; Jialin Ding 001; Sebastian Kosak; David Kernert; Chuan Lei; Xiao Qin; Abhinav Tripathy; Ramesh Balan; Balakrishnan Narayanaswamy; Tim Kraska (CoRR, 2025)

KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes. - Eugenie Lai; Gerardo Vitagliano; Ziyu Zhang 002; Sivaprasad Sudhir; Om Chabra; Anna Zeng; Anton A. Zabreyko; Chenning Li; Ferdi Kossmann; Jialin Ding 001; Jun Chen; Markos Markakis; et al. (CoRR, 2025)

Parachute: Single-Pass Bi-Directional Information Passing. - Mihail Stoian; Andreas Zimmerer; Skander Krid; Amadou Latyr Ngom; Jialin Ding 001; Tim Kraska; Andreas Kipf (CoRR, 2025)