HAIChart: Human and AI Paired Visualization System
Summary: HAIChart: an RL-based human–AI visualization system leveraging Monte Carlo Graph Search and a composite reward to auto-generate high-quality chart candidates. Adds an active “visualization hints” mechanism—top-k hint selection proven NP-hard with an efficient solver—to iteratively incorporate user feedback and significantly boost recall and hit@k versus prior human- and AI-driven tools. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yupeng Xie (Hong Kong University of Science and Technology)
- 2. Yuyu Luo (Hong Kong University of Science and Technology)
- 3. Guoliang Li (Tsinghua University)
- 4. Nan Tang (Hong Kong University of Science and Technology)
BibTeX Citation
@article{xie_vldb24,
title = {{HAIChart: Human and AI Paired Visualization System}},
author = {Xie, Yupeng and Luo, Yuyu and Li, Guoliang and Tang, Nan},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {11},
pages = {3178--3191},
doi = {10.14778/3681954.3681992},
url = {https://doi.org/10.14778/3681954.3681992},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,852 | The Dawn of Natural Language to SQL: Are We Fully Ready? | 2024 | VLDB | 8.0455088e-05 |
| 9,550 | Data Imputation with Limited Data Redundancy Using Data Lakes | 2025 | VLDB | 5.2528121e-05 |
| 10,217 | DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework | 2026 | SIGMOD | 5.093636e-05 |
| 10,474 | MultiVis-Agent: A Multi-Agent Framework with Logic Rules for Reliable and Comprehensive Cross-Modal Data Visualization | 2026 | SIGMOD | 5.093636e-05 |
| 11,013 | Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models | 2025 | VLDB | 5.093636e-05 |
| 11,057 | LASEK: LLM-Assisted Style Exploration Kit for Geospatial Data | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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