Reptile: Aggregation-level Explanations for Hierarchical Data. - Zezhou Huang; Eugene Wu 002 (SIGMOD Conference, 2022)

Calibration: A Simple Trick for Wide-table Delta Analytics. - Zezhou Huang; Eugene Wu 002 (CoRR, 2022)

Random Forests over normalized data in CPU-GPU DBMSes. - Zezhou Huang; Pavan Kalyan Damalapati; Rathijit Sen; Eugene Wu 002 (DaMoN, 2023)

Aggregation Consistency Errors in Semantic Layers and How to Avoid Them. - Zezhou Huang; Pavan Kalyan Damalapati; Eugene Wu 002 (HILDA@SIGMOD, 2023)

Kitana: Efficient Data Augmentation Search for AutoML. - Zezhou Huang; Pranav Subramaniam; Raul Castro Fernandez; Eugene Wu 002 (CoRR, 2023)

Data Ambiguity Strikes Back: How Documentation Improves GPT's Text-to-SQL. - Zezhou Huang; Pavan Kalyan Damalapati; Eugene Wu 002 (CoRR, 2023)

Saibot: A Differentially Private Data Search Platform. - Zezhou Huang; Jiaxiang Liu; Daniel Alabi; Raul Castro Fernandez; Eugene Wu 002 (Proc. VLDB Endow., 2023)

JoinBoost: Grow Trees Over Normalized Data Using Only SQL. - Zezhou Huang; Rathijit Sen; Jiaxiang Liu; Eugene Wu 002 (Proc. VLDB Endow., 2023)

Lightweight Materialization for Fast Dashboards Over Joins. - Zezhou Huang; Eugene Wu 002 (Proc. ACM Manag. Data, 2023)

The Fast and the Private: Task-based Dataset Search. - Zezhou Huang; Jiaxiang Liu; Haonan Wang; Eugene Wu 002 (CIDR, 2024)

Disambiguate Entity Matching using Large Language Models through Relation Discovery. - Zezhou Huang (GUIDE-AI@SIGMOD, 2024)

SET: Searching Effective Supervised Learning Augmentations in Large Tabular Data Repositories. - Jiaxiang Liu; Zezhou Huang; Eugene Wu 002 (GUIDE-AI@SIGMOD, 2024)

Cocoon: Semantic Table Profiling Using Large Language Models. - Zezhou Huang; Eugene Wu 002 (HILDA@SIGMOD, 2024)

Relationalizing Tables with Large Language Models: The Promise and Challenges. - Zezhou Huang; Eugene Wu 002 (ICDEW, 2024)

Transform Table to Database Using Large Language Models. - Zezhou Huang; Jia Guo; Eugene Wu 002 (VLDB Workshops, 2024)

Disambiguate Entity Matching through Relation Discovery with Large Language Models. - Zezhou Huang (CoRR, 2024)

Data Cleaning Using Large Language Models. - Shuo Zhang; Zezhou Huang; Eugene Wu 002 (ICDEW, 2025)

GPU Acceleration of SQL Analytics on Compressed Data. - Zezhou Huang; Krystian Sakowski; Hans Lehnert; Wei Cui; Carlo Curino; Matteo Interlandi; Marius Dumitru; Rathijit Sen (CoRR, 2025)

Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets. - Gagan Bansal; Wenyue Hua; Zezhou Huang; Adam Fourney; Amanda Swearngin; Will Epperson; Tyler Payne; Jake M. Hofman; Brendan Lucier; Chinmay Singh; Markus Mobius; Akshay Nambi; et al. (CoRR, 2025)