HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation
Summary: HAIPipe fuses HI-pipelines with AI-pipelines to form HAI-pipelines that outperform either. It uses an enumeration-sampling framework and RL-guided AI-pipeline search, with experiments on 1400+ real-world HI-pipelines showing gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sibei Chen
- 2. Nan Tang
- 3. Ju Fan
- 4. Xuemi Yan
- 5. Chengliang Chai
- 6. Guoliang Li
- 7. Xiaoyong Du
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,564 | Automatic Database Configuration Debugging using Retrieval-Augmented Language Models | 2025 | SIGMOD | 5.0037892e-05 |
| 7,933 | In-depth Analysis of Graph-based RAG in a Unified Framework | 2025 | VLDB | 4.6089395e-05 |
| 8,739 | CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning | 2024 | SIGMOD | 4.4520434e-05 |
| 9,381 | Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations | 2024 | SIGMOD | 4.343902e-05 |
| 10,690 | AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework | 2025 | VLDB | 4.1905499e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 917 | Democratizing Data Science through Interactive Curation of ML Pipelines | 2019 | SIGMOD | 0.00015324193 |
| 1,393 | Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads | 2018 | VLDB | 0.00012223372 |
| 1,992 | Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning | 2020 | SIGMOD | 9.8415851e-05 |
| 3,254 | Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks | 2020 | SIGMOD | 7.3172324e-05 |
| 5,389 | Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search | 2021 | VLDB | 5.5339832e-05 |
| 6,570 | Domain Adaptation for Deep Entity Resolution | 2022 | SIGMOD | 5.0017341e-05 |
| 8,401 | DADER: Hands-Off Entity Resolution with Domain Adaptation | 2022 | VLDB | 4.5176737e-05 |
Previous
Page 1 / 1
Next