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ORCIDZezhou Huang
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2020 – today
- 2024
[c9]Zezhou Huang, Jiaxiang Liu, Haonan Wang, Eugene Wu:
The Fast and the Private: Task-based Dataset Search. CIDR 2024- [c8]Jiaxiang Liu
, Zezhou Huang, Eugene Wu:
SET: Searching Effective Supervised Learning Augmentations in Large Tabular Data Repositories. GUIDE-AI@SIGMOD 2024: 26-31 - [c7]Zezhou Huang:
Disambiguate Entity Matching using Large Language Models through Relation Discovery. GUIDE-AI@SIGMOD 2024: 36-39 - [c6]Zezhou Huang, Eugene Wu:
Cocoon: Semantic Table Profiling Using Large Language Models. HILDA@SIGMOD 2024: 1-7 - [c5]Zezhou Huang, Eugene Wu:
Relationalizing Tables with Large Language Models: The Promise and Challenges. ICDEW 2024: 305-309 - [c4]Zezhou Huang, Jia Guo, Eugene Wu:
Transform Table to Database Using Large Language Models. VLDB Workshops 2024 - [i12]Zezhou Huang:
Disambiguate Entity Matching through Relation Discovery with Large Language Models. CoRR abs/2403.17344 (2024) - [i11]Zezhou Huang, Eugene Wu:
Cocoon: Semantic Table Profiling Using Large Language Models. CoRR abs/2404.12552 (2024) - [i10]Shuo Zhang, Zezhou Huang, Eugene Wu:
Data Cleaning Using Large Language Models. CoRR abs/2410.15547 (2024) - 2023
- [j3]Zezhou Huang, Eugene Wu:
Lightweight Materialization for Fast Dashboards Over Joins. Proc. ACM Manag. Data 1(4): 248:1-248:27 (2023) - [j2]Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu:
Saibot: A Differentially Private Data Search Platform. Proc. VLDB Endow. 16(11): 3057-3070 (2023) - [j1]Zezhou Huang, Rathijit Sen, Jiaxiang Liu, Eugene Wu:
JoinBoost: Grow Trees Over Normalized Data Using Only SQL. Proc. VLDB Endow. 16(11): 3071-3084 (2023) - [c3]Zezhou Huang, Pavan Kalyan Damalapati, Rathijit Sen, Eugene Wu:
Random Forests over normalized data in CPU-GPU DBMSes. DaMoN 2023: 98-101 - [c2]Zezhou Huang, Pavan Kalyan Damalapati, Eugene Wu:
Aggregation Consistency Errors in Semantic Layers and How to Avoid Them. HILDA@SIGMOD 2023: 8:1-8:7 - [i9]Zezhou Huang, Pranav Subramaniam, Raul Castro Fernandez, Eugene Wu:
Kitana: Efficient Data Augmentation Search for AutoML. CoRR abs/2305.10419 (2023) - [i8]Zezhou Huang, Pavan Kalyan Damalapati, Eugene Wu:
Aggregation Consistency Errors in Semantic Layers and How to Avoid Them. CoRR abs/2307.00417 (2023) - [i7]Zezhou Huang, Rathijit Sen, Jiaxiang Liu, Eugene Wu:
JoinBoost: Grow Trees Over Normalized Data Using Only SQL. CoRR abs/2307.00422 (2023) - [i6]Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu:
Saibot: A Differentially Private Data Search Platform. CoRR abs/2307.00432 (2023) - [i5]Zezhou Huang, Jiaxiang Liu, Haonan Wang, Eugene Wu:
The Fast and the Private: Task-based Dataset Search. CoRR abs/2308.05637 (2023) - [i4]Zezhou Huang, Eugene Wu:
Lightweight Materialization for Fast Dashboards Over Joins. CoRR abs/2308.12480 (2023) - [i3]Zezhou Huang, Pavan Kalyan Damalapati, Eugene Wu:
Data Ambiguity Strikes Back: How Documentation Improves GPT's Text-to-SQL. CoRR abs/2310.18742 (2023) - 2022
- [c1]Zezhou Huang, Eugene Wu:
Reptile: Aggregation-level Explanations for Hierarchical Data. SIGMOD Conference 2022: 399-413 - [i2]Zezhou Huang, Eugene Wu:
Calibration: A Simple Trick for Wide-table Delta Analytics. CoRR abs/2210.03851 (2022) - 2021
- [i1]Zezhou Huang, Eugene Wu:
Reptile: Aggregation-level Explanations for Hierarchical Data. CoRR abs/2103.07037 (2021)
Coauthor Index
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