Zezhou Huang

According to our database, Zezhou Huang authored at least 17 papers between 2022 and 2024.

Collaborative distances:

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

2024

Data Cleaning Using Large Language Models.

Shuo Zhang, Zezhou Huang, Eugene Wu

CoRR, 2024

Disambiguate Entity Matching through Relation Discovery with Large Language Models.

Zezhou Huang

CoRR, 2024

Transform Table to Database Using Large Language Models.

Zezhou Huang, Jia Guo, Eugene Wu

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Relationalizing Tables with Large Language Models: The Promise and Challenges.

Zezhou Huang, Eugene Wu

Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

Cocoon: Semantic Table Profiling Using Large Language Models.

Zezhou Huang, Eugene Wu

Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics, 2024

SET: Searching Effective Supervised Learning Augmentations in Large Tabular Data Repositories.

Jiaxiang Liu, Zezhou Huang, Eugene Wu

Proceedings of the Conference on Governance, 2024

Disambiguate Entity Matching using Large Language Models through Relation Discovery.

Zezhou Huang

Proceedings of the Conference on Governance, 2024

The Fast and the Private: Task-based Dataset Search.

Zezhou Huang, Jiaxiang Liu, Haonan Wang, Eugene Wu

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

Lightweight Materialization for Fast Dashboards Over Joins.

Zezhou Huang, Eugene Wu

Proc. ACM Manag. Data, December, 2023

JoinBoost: Grow Trees Over Normalized Data Using Only SQL.

Zezhou Huang, Rathijit Sen, Jiaxiang Liu, Eugene Wu

Proc. VLDB Endow., 2023

Saibot: A Differentially Private Data Search Platform.

Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu

Proc. VLDB Endow., 2023

Data Ambiguity Strikes Back: How Documentation Improves GPT's Text-to-SQL.

Zezhou Huang, Pavan Kalyan Damalapati, Eugene Wu

CoRR, 2023

Kitana: Efficient Data Augmentation Search for AutoML.

Zezhou Huang, Pranav Subramaniam, Raul Castro Fernandez, Eugene Wu

CoRR, 2023

Aggregation Consistency Errors in Semantic Layers and How to Avoid Them.

Zezhou Huang, Pavan Kalyan Damalapati, Eugene Wu

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2023

Random Forests over normalized data in CPU-GPU DBMSes.

Zezhou Huang, Pavan Kalyan Damalapati, Rathijit Sen, Eugene Wu

Proceedings of the 19th International Workshop on Data Management on New Hardware, 2023

2022

Calibration: A Simple Trick for Wide-table Delta Analytics.

Zezhou Huang, Eugene Wu

CoRR, 2022

Reptile: Aggregation-level Explanations for Hierarchical Data.

Zezhou Huang, Eugene Wu

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