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The growing importance of data visualization in business intelligence and data science emphasizes the need for tools that can efficiently generate meaningful visualizations from large datasets.
A Markovian decision process
Richard Bellman. 1957 · 1957
Earlier work this paper cites.
The Budgeted Maximum Coverage Problem
Samir Khuller, Anna Moss, and Joseph Naor. 1999 · 1999
Earlier work this paper cites.
Monte carlo integration
Christian P Robert, George Casella, Christian P Robert, and George Casella. 1999 · 1999
Earlier work this paper cites.
Finite-time analysis of the multiarmed bandit problem
Peter Auer, Nicolo Cesa-Bianchi, and Paul Fischer. 2002 · 2002
Earlier work this paper cites.
Likert scales and data analyses
I Elaine Allen and Christopher A Seaman. 2007 · 2007
Earlier work this paper cites.
Polaris: a system for query, analysis, and visualization of multidimensional databases
Chris Stolte, Diane Tang, and Pat Hanrahan. 2008 · 2008
Earlier work this paper cites.
Ranking, boosting, and model adaptation
Qiang Wu, Chris JC Burges, Krysta M Svore, and Jianfeng Gao. 2008 · 2008
Earlier work this paper cites.
Interactive data visualization: foundations, techniques, and applications
Matthew O Ward, Georges Grinstein, and Daniel Keim. 2010 · 2010
Earlier work this paper cites.
UCD: Upper Confidence bound for rooted Directed acyclic graphs
Abdallah Saffidine, Tristan Cazenave, and Jean Méhat. 2012 · 2012
Earlier work this paper cites.
Lyra: An Interactive Visualization Design Environment
Arvind Satyanarayan and Jeffrey Heer. 2014 · 2014
Earlier work this paper cites.
Voyager: Exploratory analysis via faceted browsing of visualization recommendations
Kanit Wongsuphasawat, Dominik Moritz, Anushka Anand, Jock Mackinlay, Bill Howe, and Jeffrey Heer. 2015 · 2015
Earlier work this paper cites.
Mastering the game of Go with deep neural networks and tree search
David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Vedavyas Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy P. Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, and Demis Hassabis. 2016 · 2016
Earlier work this paper cites.
Mastering the game of Go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy P. Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, and Demis Hassabis. 2017 · 2017
Earlier work this paper cites.
Voyager 2: Augmenting visual analysis with partial view specifications. In Proceedings of the 2017 chi conference on human factors in computing systems . 2648–2659
Kanit Wongsuphasawat, Zening Qu, Dominik Moritz, Riley Chang, Felix Ouk, Anushka Anand, Jock Mackinlay, Bill Howe, and Jeffrey Heer. 2017 · 2017
Earlier work this paper cites.
Combining Design and Performance in a Data Visualization Management System. In CIDR . www.cidrdb.org
Eugene Wu, Fotis Psallidas, Zhengjie Miao, Haoci Zhang, and Laura Rettig. 2017 · 2017
Earlier work this paper cites.
DeepEye: Towards Automatic Data Visualization. In 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018 . IEEE Computer Society, 101–112
Yuyu Luo, Xuedi Qin, Nan Tang, and Guoliang Li. 2018a · 2018
Earlier work this paper cites.
Deepeye: An automatic big data visualization framework
Xuedi Qin, Yuyu Luo, Nan Tang, and Guoliang Li. 2018 · 2018
Earlier work this paper cites.
M-walk: Learning to walk over graphs using monte carlo tree search
Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, and Jianfeng Gao. 2018 · 2018
Earlier work this paper cites.
A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation. In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada . 10734–10745
Xueying Bai, Jian Guan, and Hongning Wang. 2019 · 2019
Earlier work this paper cites.
Data2vis: Automatic generation of data visualizations using sequence-to-sequence recurrent neural networks
Victor Dibia and Çağatay Demiralp. 2019 · 2019
Earlier work this paper cites.
Vizml: A machine learning approach to visualization recommendation. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems . 1–12
Kevin Hu, Michiel A Bakker, Stephen Li, Tim Kraska, and César Hidalgo. 2019 · 2019
Earlier work this paper cites.
Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco
Dominik Moritz, Chenglong Wang, Gregory Nelson, Halden Lin, Adam M. Smith, Bill Howe, and Jeffrey Heer. 2019 · 2019
Earlier work this paper cites.
Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2020 · 2020
Cited alongside, same era.
Monte-Carlo Graph Search: the Value of Merging Similar States. In Proceedings of The 12th Asian Conference on Machine Learning, ACML 2020, 18-20 November 2020, Bangkok, Thailand (Proceedings of Machine Learning Research, Vol. 129) . PMLR, 577–592
Edouard Leurent and Odalric-Ambrym Maillard. 2020 · 2020
Cited alongside, same era.
VisClean: Interactive Cleaning for Progressive Visualization
Yuyu Luo, Chengliang Chai, Xuedi Qin, Nan Tang, and Guoliang Li. 2020b · 2020
Cited alongside, same era.
Making data visualization more efficient and effective: a survey
Xuedi Qin, Yuyu Luo, Nan Tang, and Guoliang Li. 2020 · 2020
Cited alongside, same era.
Mastering Atari, Go, chess and shogi by planning with a learned model
Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy P. Lillicrap, and David Silver. 2020 · 2020
Natural Language to Visualization by Neural Machine Translation
Yuyu Luo, Nan Tang, Guoliang Li, Jiawei Tang, Chengliang Chai, and Xuedi Qin. 2022b · 2022
Later among the works it cites.
Personalized visualization recommendation
Xin Qian, Ryan A Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, and Nesreen K Ahmed. 2022 · 2022
Later among the works it cites.
GALVIS: Visualization Construction through Example-Powered Declarative Programming. In CIKM . ACM, 4975–4979
Leixian Shen, Enya Shen, Zhiwei Tai, Yun Wang, Yuyu Luo, and Jianmin Wang. 2022 · 2022
Later among the works it cites.
Sevi: Speech-to-Visualization through Neural Machine Translation. In SIGMOD Conference . ACM, 2353–2356
Jiawei Tang, Yuyu Luo, Mourad Ouzzani, Guoliang Li, and Hongyang Chen. 2022 · 2022
Later among the works it cites.
Demonstration of PI2: Interactive Visualization Interface Generation for SQL Analysis in Notebook. In SIGMOD Conference . ACM, 2365–2368
Jeffrey Tao, Yiru Chen, and Eugene Wu. 2022 · 2022
Later among the works it cites.
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Cited alongside, same era.
Mobilevisfixer: Tailoring web visualizations for mobile phones leveraging an explainable reinforcement learning framework
Aoyu Wu, Wai Tong, Tim Dwyer, Bongshin Lee, Petra Isenberg, and Huamin Qu. 2020 · 2020
Cited alongside, same era.
Improving AlphaZero Using Monte-Carlo Graph Search. In Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, ICAPS 2021, Guangzhou, China (virtual), August 2-13, 2021 . AAAI Press, 103–111
Johannes Czech, Patrick Korus, and Kristian Kersting. 2021 · 2021
Cited alongside, same era.
VizGRank: A Context-Aware Visualization Recommendation Method Based on Inherent Relations Between Visualizations. In Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021, Proceedings, Part III (Lecture Notes in Computer Science, Vol. 12683) . Springer, 244–261
Qianfeng Gao, Zhenying He, Yinan Jing, Kai Zhang, and X. Sean Wang. 2021 · 2021
Cited alongside, same era.
Lux: always-on visualization recommendations for exploratory dataframe workflows
Doris Jung-Lin Lee, Dixin Tang, Kunal Agarwal, Thyne Boonmark, Caitlyn Chen, Jake Kang, Ujjaini Mukhopadhyay, Jerry Song, Micah Yong, Marti A Hearst, et al · 2021
Cited alongside, same era.
KG4Vis: A knowledge graph-based approach for visualization recommendation
Haotian Li, Yong Wang, Songheng Zhang, Yangqiu Song, and Huamin Qu. 2021 · 2021
Cited alongside, same era.
nvBench: A Large-Scale Synthesized Dataset for Cross-Domain Natural Language to Visualization Task
Yuyu Luo, Jiawei Tang, and Guoliang Li. 2021a · 2021
Cited alongside, same era.
Empowering natural language to visualization neural translation using synthesized benchmarks
Yuyu Luo, Jiawei Tang, Guoliang Li, and Chengliang Chai. 2021b · 2021
Cited alongside, same era.
Turning Zeroes into Non-Zeroes: Sample Efficient Exploration with Monte Carlo Graph Search. In IEEE Conference on Games, CoG 2022, Beijing, China, August 21-24, 2022 . IEEE, 300–306
Marko Tot, Michelangelo Conserva, Diego Perez Liebana, and Sam Devlin. 2022 · 2022
Later among the works it cites.
Interactive data analysis with next-step natural language query recommendation
Xingbo Wang, Furui Cheng, Yong Wang, Ke Xu, Jiang Long, Hong Lu, and Huamin Qu. 2022 · 2022
Later among the works it cites.
Data Management for Machine Learning: A Survey
Chengliang Chai, Jiayi Wang, Yuyu Luo, Zeping Niu, and Guoliang Li. 2023b · 2023
Later among the works it cites.
Liying Cheng, Xingxuan Li, and Lidong Bing. 2023 · 2023
Later among the works it cites.
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, ACL 2023, Toronto, Canada, July 10-12, 2023 . Association for Computational Linguistics, 113–126
Victor Dibia. 2023 · 2023
Later among the works it cites.
How Good is ChatGPT in Giving Advice on Your Visualization Design?
Nam Wook Kim, Grace Myers, and Benjamin Bach. 2023 · 2023
Later among the works it cites.
Learned Data-aware Image Representations of Line Charts for Similarity Search
Yuyu Luo, Yihui Zhou, Nan Tang, Guoliang Li, Chengliang Chai, and Leixian Shen. 2023 · 2023
Later among the works it cites.
Towards Natural Language Interfaces for Data Visualization: A Survey
Leixian Shen, Enya Shen, Yuyu Luo, Xiaocong Yang, Xuming Hu, Xiongshuai Zhang, Zhiwei Tai, and Jianmin Wang. 2023 · 2023
Later among the works it cites.
Chartgpt: Leveraging llms to generate charts from abstract natural language
Yuan Tian, Weiwei Cui, Dazhen Deng, Xinjing Yi, Yurun Yang, Haidong Zhang, and Yingcai Wu. 2023 · 2023
Later among the works it cites.
LLM4Vis: Explainable Visualization Recommendation using ChatGPT. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 - Industry Track, Singapore, December 6-10, 2023 . Association for Computational Linguistics, 675–692
Lei Wang, Songheng Zhang, Yun Wang, Ee-Peng Lim, and Yong Wang. 2023 · 2023
Later among the works it cites.
Leveraging Large Models for Crafting Narrative Visualization: A Survey
Yi He, Shixiong Cao, Yang Shi, Qing Chen, Ke Xu, and Nan Cao. 2024 · 2024
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The Dawn of Natural Language to SQL: Are We Fully Ready?
Boyan Li, Yuyu Luo, Chengliang Chai, Guoliang Li, and Nan Tang. 2024b · 2024
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CoInsight: Visual Storytelling for Hierarchical Tables with Connected Insights
Guozheng Li, Runfei Li, Yunshan Feng, Yu Zhang, Yuyu Luo, and Chi Harold Liu. 2024a · 2024
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VerifAI: Verified Generative AI. In CIDR . www.cidrdb.org
Nan Tang, Chenyu Yang, Ju Fan, Lei Cao, Yuyu Luo, and Alon Y. Halevy. 2024 · 2024
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Generative AI for visualization: State of the art and future directions
Yilin Ye, Jianing Hao, Yihan Hou, Zhan Wang, Shishi Xiao, Yuyu Luo, and Wei Zeng. 2024 · 2024
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Are Large Language Models Good Statisticians?
Yizhang Zhu, Shiyin Du, Boyan Li, Yuyu Luo, and Nan Tang. 2024 · 2024
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