107 citations · 345 across the 25 of their papers we have counts for
26 papers
Auto-Relate: A Unified Approach to Discovering Reliable Functional Relationships Leveraging Statistical Tests
Ziyan Han, Yeye He, Shuyuan Kang +8
Tables in spreadsheets, computational notebooks, and databases often contain rich inter-column relationships. Yet these relationships are typically implicit and are often lost when…
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
Qixu Chen, Yeye He, Raymond Chi-Wing Wong +5
Data cleaning is a long-standing challenge in data management. While powerful logic and statistical algorithms have been developed to detect and repair data errors in tables, exist…
ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs
Yuan Tian, Chuhan Zhang, Xiaotong Wang +5
Creating data reports is a labor-intensive task involving iterative data exploration, insight extraction, and narrative construction. A key challenge lies in composing the analysis…
RCInvestigator: Towards Better Investigation of Anomaly Root Causes in Cloud Computing Systems
Shuhan Liu, Yunfan Zhou, Lu Ying +9
Finding the root causes of anomalies in cloud computing systems quickly is crucial to ensure availability and efficiency since accurate root causes can guide engineers to take appr…
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui +5
Spreadsheets are widely recognized as the most popular end-user programming tools, which blend the power of formula-based computation, with an intuitive table-based interface. Toda…
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries
Wei Zhao, Zhitao Hou, Siyuan Wu +6
Writing formulas on spreadsheets, such as Microsoft Excel and Google Sheets, is a widespread practice among users performing data analysis. However, crafting formulas on spreadshee…
ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language
Yuan Tian, Weiwei Cui, Dazhen Deng +4
The use of natural language interfaces (NLIs) to create charts is becoming increasingly popular due to the intuitiveness of natural language interactions. One key challenge in this…
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar +6
Language models, such as GPT-3.5 and ChatGPT, demonstrate remarkable abilities to follow diverse human instructions and perform a wide range of tasks. However, when probing languag…
Relation-driven Query of Multiple Time Series
Shuhan Liu, Yuan Tian, Zikun Deng +4
Querying time series based on their relations is a crucial part of multiple time series analysis. By retrieving and understanding time series relations, analysts can easily detect…
Reviving Static Charts into Live Charts
Lu Ying, Yun Wang, Haotian Li +5
Data charts are prevalent across various fields due to their efficacy in conveying complex data relationships. However, static charts may sometimes struggle to engage readers and e…
Data Player: Automatic Generation of Data Videos with Narration-Animation Interplay
Leixian Shen, Yizhi Zhang, Haidong Zhang +1
Data visualizations and narratives are often integrated to convey data stories effectively. Among various data storytelling formats, data videos have been garnering increasing atte…
WonderFlow: Narration-Centric Design of Animated Data Videos
Yun Wang, Leixian Shen, Zhengxin You +5
Creating an animated data video enriched with audio narration takes a significant amount of time and effort and requires expertise. Users not only need to design complex animations…
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui +5
Data pipelines are widely employed in modern enterprises to power a variety of Machine-Learning (ML) and Business-Intelligence (BI) applications. Crucially, these pipelines are \em…
Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks
Haotian Li, Lu Ying, Haidong Zhang +3
Computational notebooks are widely used for data analysis. Their interleaved displays of code and execution results (e.g., visualizations) are welcomed since they enable iterative…
GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements
Wenchao Li, Zhan Wang, Yun Wang +5
In geographic data videos, camera movements are frequently used and combined to present information from multiple perspectives. However, creating and editing camera movements requi…
Towards Natural Language-Based Visualization Authoring
Yun Wang, Zhitao Hou, Leixian Shen +5
A key challenge to visualization authoring is the process of getting familiar with the complex user interfaces of authoring tools. Natural Language Interface (NLI) presents promisi…
OneLabeler: A Flexible System for Building Data Labeling Tools
Yu Zhang, Yun Wang, Haidong Zhang +3
Labeled datasets are essential for supervised machine learning. Various data labeling tools have been built to collect labels in different usage scenarios. However, developing labe…
Revisiting the Design Patterns of Composite Visualizations
Dazhen Deng, Weiwei Cui, Xiyu Meng +4
Composite visualization is a popular design strategy that represents complex datasets by integrating multiple visualizations in a meaningful and aesthetic layout, such as juxtaposi…
Reverse-Engineering Information Presentations: Recovering Hierarchical Grouping from Layouts of Visual Elements
Danqing Shi, Weiwei Cui, Danqing Huang +2
Visual elements in an information presentation are often spatially and semantically grouped hierarchically for effective message delivery. Studying the hierarchical grouping inform…
MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation
Aoyu Wu, Yun Wang, Mengyu Zhou +4
We contribute a deep-learning-based method that assists in designing analytical dashboards for analyzing a data table. Given a data table, data workers usually need to experience a…
AniVis: Generating Animated Transitions Between Statistical Charts with a Tree Model
Wenchao Li, Yun Wang, He Huang +4
Animated transitions help viewers understand changes between related visualizations. To clearly present the underlying relations between statistical charts, animation authors need…
AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization
Aoyu Wu, Yun Wang, Xinhuan Shu +5
Visualizations themselves have become a data format. Akin to other data formats such as text and images, visualizations are increasingly created, stored, shared, and (re-)used with…
Improving Engagement of Animated Visualization with Visual Foreshadowing
Wenchao Li, Yun Wang, Haidong Zhang +1
Animated visualization is becoming increasingly popular as a compelling way to illustrate changes in time series data. However, maintaining the viewer's focus throughout the entire…
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui +3
Infographic is a data visualization technique which combines graphic and textual descriptions in an aesthetic and effective manner. Creating infographics is a difficult and time-co…