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. I also fortunately have Dr. Nan Tang from Qatar Computing Research Institute (QCRI) as my external advisor. Before that, I received my B.Eng. from the University of Electronic Science and Technology of China in 2018.

My research mission is “Democratizing Relational Data Visualization” by building systems (tools) to simplify the visual data analytics pipeline, i.e., assisting users (especially novices) to leverage and make sense of their datasets more easily and effectively.

Selected Publications

Year 2023
1. 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.
2. 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.
3. Demystifying Artificial Intelligence for Data Preparation
   Chengliang Chai, Nan Tang, Ju Fan, Yuyu Luo
   SIGMOD 2023 (Tutorial Track).

Year 2022
4. Steerable Self-driving Data Visualization.
   Yuyu Luo, Xuedi Qin, Chengliang Chai, Nan Tang, Guoliang Li, Wenbo Li.
   IEEE TKDE 2022.
5. Sevi: Speech-to-Visualization through Neural Machine Translation
   Jiawei Tang, Yuyu Luo, Mourad Ouzzani, Guoliang Li, Hongyang Chen.
   ACM SIGMOD 2022 (Demo Track).
6. Data Management for Machine Learning: A Survey.
   Chengliang Chai, Jiayi Wang, Yuyu Luo, Zeping Niu, Guoliang Li.
   IEEE TKDE 2022.
7. 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.
8. 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

9. 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]


10. 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]


11. 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
12. DeepTrack: Monitoring and Exploring Spatio-Temporal Data
    – A Case of Tracking COVID-19 –
    Yuyu Luo, Wenbo Li, Guoliang Li, Nan Tang
    VLDB 2020.
13. VisClean: Interactive Cleaning for Progressive Visualization.
    Yuyu Luo, Chengliang Chai, Xuedi Qin, Nan Tang, Guoliang Li.
    VLDB 2020. [Video Demonstration]
14. Interactive Cleaning for Progressive Visualization through Composite Questions.
    Yuyu Luo, Chengliang Chai, Xuedi Qin, Nan Tang, Guoliang Li.
    IEEE ICDE 2020. [Video]
15. 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)

Year 2019
16. Making Data Visualization More Efficient and Effective: A Survey.
    Xuedi Qin, Yuyu Luo, Nan Tang, Guoliang Li.
    The VLDB Journal.
17. 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
18. 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)]
19. 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)
• 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
• 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

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