Yuyu Luo

Orcid: 0000-0001-9530-3327

Affiliations:
  • Tsinghua University, China


According to our database1, Yuyu Luo authored at least 54 papers between 2016 and 2024.

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Bibliography

2024
HAIChart: Human and AI Paired Visualization System.
Proc. VLDB Endow., July, 2024

The Dawn of Natural Language to SQL: Are We Fully Ready? [Experiment, Analysis & Benchmark ].
Proc. VLDB Endow., July, 2024

CoInsight: Visual Storytelling for Hierarchical Tables With Connected Insights.
IEEE Trans. Vis. Comput. Graph., June, 2024

Generative AI for visualization: State of the art and future directions.
Vis. Informatics, 2024

Navi: Data Analysis System Powered by Natural Language Interaction.
Int. J. Softw. Informatics, 2024

DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models.
CoRR, 2024

AFlow: Automating Agentic Workflow Generation.
CoRR, 2024

Data Playwright: Authoring Data Videos with Annotated Narration.
CoRR, 2024

A Survey of NL2SQL with Large Language Models: Where are we, and where are we going?
CoRR, 2024

Are Large Language Models Good Statisticians?
CoRR, 2024

VisLTR: Visualization-in-the-Loop Table Reasoning.
CoRR, 2024

The Dawn of Natural Language to SQL: Are We Fully Ready?
CoRR, 2024

Designing self-organizing systems using surrogate models and the compromise decision support problem construct.
Adv. Eng. Informatics, 2024

Fast, Robust and Interpretable Participant Contribution Estimation for Federated Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Mitigating Data Scarcity in Supervised Machine Learning Through Reinforcement Learning Guided Data Generation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

VerifAI: Verified Generative AI.
Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023
Towards Natural Language Interfaces for Data Visualization: A Survey.
IEEE Trans. Vis. Comput. Graph., June, 2023

Data Management for Machine Learning: A Survey.
IEEE Trans. Knowl. Data Eng., May, 2023

Learned Data-aware Image Representations of Line Charts for Similarity Search.
Proc. ACM Manag. Data, 2023

GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data.
Proc. ACM Manag. Data, 2023

Demystifying Artificial Intelligence for Data Preparation.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

A User Intent Recognition Model for Medical Queries Based on Attentional Interaction and Focal Loss Boost.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

2022
Interactively discovering and ranking desired tuples by data exploration.
VLDB J., 2022

Natural Language to Visualization by Neural Machine Translation.
IEEE Trans. Vis. Comput. Graph., 2022

Steerable Self-Driving Data Visualization.
IEEE Trans. Knowl. Data Eng., 2022

Selective Data Acquisition in the Wild for Model Charging.
Proc. VLDB Endow., 2022

Sevi: Speech-to-Visualization through Neural Machine Translation.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

An Early Prediction and Label Smoothing Alignment Strategy for User Intent Classification of Medical Queries.
Proceedings of the Neural Computing for Advanced Applications, 2022

Synthesizing Privacy Preserving Entity Resolution Datasets.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Feature Augmentation with Reinforcement Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

RW-Tree: A Learned Workload-aware Framework for R-tree Construction.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

GALVIS: Visualization Construction through Example-Powered Declarative Programming.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
CrowdChart: Crowdsourced Data Extraction From Visualization Charts.
IEEE Trans. Knowl. Data Eng., 2021

Automatic Data Acquisition for Deep Learning.
Proc. VLDB Endow., 2021

nvBench: A Large-Scale Synthesized Dataset for Cross-Domain Natural Language to Visualization Task.
CoRR, 2021

Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Ranking Desired Tuples by Database Exploration.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Making data visualization more efficient and effective: a survey.
VLDB J., 2020

DeepTrack: Monitoring and Exploring Spatio-Temporal Data - A Case of Tracking COVID-19 -.
Proc. VLDB Endow., 2020

VisClean: Interactive Cleaning for Progressive Visualization.
Proc. VLDB Endow., 2020

DeepEye: A Data Science System for Monitoring and Exploring COVID-19 Data.
IEEE Data Eng. Bull., 2020

Interactively Discovering and Ranking Desired Tuples without Writing SQL Queries.
Proceedings of the 2020 International Conference on Management of Data, 2020

Human-in-the-loop Outlier Detection.
Proceedings of the 2020 International Conference on Management of Data, 2020

Interactive Cleaning for Progressive Visualization through Composite Questions.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Crowdsourcing-based Data Extraction from Visualization Charts.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Towards Automatic Mathematical Exercise Solving.
Data Sci. Eng., 2019

MathGraph: A Knowledge Graph for Automatically Solving Mathematical Exercises.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
DeepEye: An automatic big data visualization framework.
Big Data Min. Anal., 2018

DeepEye: Creating Good Data Visualizations by Keyword Search.
Proceedings of the 2018 International Conference on Management of Data, 2018

DeepEye: Towards Automatic Data Visualization.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

DeepEye: Visualizing Your Data by Keyword Search.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

2016
Optimization for Accelerating Large Scale Agent Based Simulation.
Proceedings of the Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems, 2016


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