About Me
I am Yuyu Luo (骆昱宇 in Chinese), currently a PhD student at the Dept. of Computer Science and Technology (CST), Tsinghua University.
I am a member of Database Group of Tsinghua and under the supervision of Prof. Guoliang Li.
Before that, I received my B.Eng. from the University of Electronic Science and Technology of China in 2018.
My research mission is to democratize relational data analytics by developing systems and tools that simplify the data analytics pipeline through the use of visualization, data management, and artificial intelligence techniques.
My focus is on assisting users, particularly novices, to better comprehend and utilize massive data with ease and efficiency.
Specifically, my research interests include intelligent visual analytics, automatic visualization, and data management for data science.
Selected Publications
Year 2023
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Learned Data-aware Image Representations of Line Charts for Similarity Search
Yuyu Luo, Yihui Zhou, Nan Tang, Guoliang Li, Chengliang Chai, Leixian Shen
SIGMOD 2023.
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GoodCore: Coreset Selection over Incomplete Data for Data-effective and Data-efficient Machine Learning
Chengliang Chai, Jiabin Liu, Nan Tang, Ju Fan, Dongjing Miao, Jiayi Wang, Yuyu Luo, Guoliang Li
SIGMOD 2023.
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Demystifying Artificial Intelligence for Data Preparation
Chengliang Chai, Nan Tang, Ju Fan, Yuyu Luo
SIGMOD 2023 (Tutorial Track).
Year 2022
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Steerable Self-driving Data Visualization.
Yuyu Luo, Xuedi Qin, Chengliang Chai, Nan Tang, Guoliang Li, Wenbo Li.
IEEE TKDE 2022.
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Sevi: Speech-to-Visualization through Neural Machine Translation
Jiawei Tang, Yuyu Luo*, Mourad Ouzzani, Guoliang Li, Hongyang Chen.
ACM SIGMOD 2022 (Demo Track).
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Data Management for Machine Learning: A Survey
Chengliang Chai, Jiayi Wang, Yuyu Luo*, Zeping Niu, Guoliang Li.
IEEE TKDE 2022.
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Towards Natural Language Interfaces for Data Visualization: A Survey
Leixian Shen, Enya Shen, Yuyu Luo, Xiaocong Yang, Xuming Hu, Xiongshuai Zhang, Zhiwei Tai, Jianmin Wang.
IEEE TVCG 2022.
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Selective Data Acquisition in the Wild for Model Charging
Chengliang Chai, Jiabin Liu, Nan Tang, Guoliang Li, Yuyu Luo.
VLDB 2022.
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Feature Augmentation with Reinforcement Learning
Jiabin Liu, Chengliang Chai, Yuyu Luo, Yin Lou, Jianhua Feng, Nan Tang.
ICDE 2022.
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RW-Tree: A Learned Workload-aware Framework for R-tree Construction
Haowen Dong, Chengliang Chai, Yuyu Luo, Jiabin Liu, Jianhua Feng, Chaoqun Zhan.
ICDE 2022.
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Interactively Discovering and Ranking Desired Tuples by Data Exploration
Xuedi Qin, Chengliang Chai, Yuyu Luo, Tianyu Zhao, Nan Tang, Guoliang Li, Jianhua Feng, Xiang Yu, Mourad Ouzzani.
The VLDB Journal 2022.
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GALVIS: Visualization Construction through Example-Powered Declarative Programming.
Leixian Shen, Enya Shen, Zhiwei Tai, Yun Wang, Yuyu Luo, Jianmin Wang.
CIKM 2022 (Best Demo Paper Honorable Mention).
Year 2021
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Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks
Yuyu Luo, Nan Tang, Guoliang Li, Chengliang Chai, Wenbo Li, Xuedi Qin
ACM SIGMOD 2021
[Project Page]
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Natural Language to Visualization by Neural Machine Translation
Yuyu Luo, Nan Tang, Guoliang Li, Jiawei Tang, Chengliang Chai, Xuedi Qin
IEEE VIS 2021
[Code] [Poster]
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nvBench: A Large-Scale Synthesized Dataset for Cross-Domain Natural Language to Visualization Task
Yuyu Luo, Jiawei Tang, Guoliang Li
Workshop on NL VIZ 2021 at IEEE VIS 2021
Year 2020
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DeepTrack: Monitoring and Exploring Spatio-Temporal Data
– A Case of Tracking COVID-19 –
Yuyu Luo, Wenbo Li, Guoliang Li, Nan Tang
VLDB 2020.
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VisClean: Interactive Cleaning for Progressive Visualization.
Yuyu Luo, Chengliang Chai, Xuedi Qin, Nan Tang, Guoliang Li.
VLDB 2020.
[Video Demonstration]
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Interactive Cleaning for Progressive Visualization through Composite Questions.
Yuyu Luo, Chengliang Chai, Xuedi Qin, Nan Tang, Guoliang Li.
IEEE ICDE 2020.
[Video]
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Human-in-the-loop Outlier Detection
Chengliang Chai, Lei Cao, Guoliang Li, Jian Li, Yuyu Luo, Samuel Madden.
ACM SIGMOD 2020.
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Interactively Discovering and Ranking Desired Tuples without Writing SQL Queries.
Xuedi Qin, Chengliang Chai, Yuyu Luo, Nan Tang, Guoliang Li.
ACM SIGMOD 2020. [Video Demonstration]
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DEEPEYE: A Data Science System for Monitoring and Exploring COVID-19 Data.
Yuyu Luo, Nan Tang, Guoliang Li, Tianyu Zhao, Wenbo Li, Xiang Yu.
IEEE Data Engineering Bulletin, 2020. (invited)
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CrowdChart: Crowdsourced-based Data Extraction from Visualization Chart.
Chengliang Chai, Guoliang Li, Ju Fan, Yuyu Luo.
IEEE TKDE 2020.
Year 2019
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Making Data Visualization More Efficient and Effective: A Survey.
Xuedi Qin, Yuyu Luo, Nan Tang, Guoliang Li.
The VLDB Journal.
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MathGraph: A Knowledge Graph for Automatically Solving Mathematical Exercises.
Tianyu Zhao, Yan Huang, Songfan Yang, Yuyu Luo, et al.
DASFAA 2019. (Best Paper Award)
Year 2018
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DeepEye: Towards Automatic Data Visualization.
ICDE 2018 Highly Cited Papers Top-2
Yuyu Luo, Xuedi Qin, Nan Tang, Guoliang Li.
IEEE ICDE 2018.
[DeepEye-APIs (Python3.6)]
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DeepEye: Creating Good Data Visualizations by Keyword Search (Demo).
Yuyu Luo, Xuedi Qin, Nan Tang, Guoliang Li, Xinran Wang.
ACM SIGMOD 2018.
[Online Demo]
Selected Awards
- 2022 - CIKM 2022 Best Paper Honorable Mention (Demo Track)
- 2022 - Comprehensive Excellent First-Class Scholarship, Tsinghua.
- 2021 - Zhejiang Lab’s International Talent Fund for Young Professionals
- 2020 - Tsinghua Top Grade Scholarship (清华大学特等奖学金).
(The highest award in the Tsinghua Univ.)
- 2020 - Zhong Shimo Scholarship (钟士模奖学金), Tsinghua University.
(The highest award in the Dept. of CST.)
- 2020 - China National Scholarship, Ministry of Education of China.
- 2019 - Comprehensive Excellent First-Class Scholarship, Tsinghua.
- 2019 - Excellent Paper Award – Big Data Mining and Analytics.
- 2019 - DASFAA 2019 Best Student Paper Award.
Professional Services
- PC Member: VLDB 2023, DASFAA 2023, IEEE BigData 2023
- Conference Reviewer: IEEE VIS 2021-2022, EuroVis 2022, CHI 2022, IEEE BigData
- Journal Reviewer: ACM Transactions on Database Systems, TVCG, ACM/IMS TDS, Data Science and Engineering
- Conference Volunteer: SIGMOD 2021