activity
20172023
most citedA Survey on ML4VIS: Applying Machine Learning Advances to Data Visualization

120 citations · 1.5k across the 58 of their papers we have counts for

collaborators

58 papers

cs.HC2023★ 69 cited

MARVisT: Authoring Glyph-based Visualization in Mobile Augmented Reality

Chen Zhu-Tian, Yijia Su, Yifang Wang +3

Recent advances in mobile augmented reality (AR) techniques have shed new light on personal visualization for their advantages of fitting visualization within personal routines, si…

cs.HC2023★ 63 cited

Augmenting Static Visualizations with PapARVis Designer

Chen Zhu-Tian, Wai Tong, Qianwen Wang +2

This paper presents an authoring environment for augmenting static visualizations with virtual content in augmented reality. Augmenting static visualizations can leverage the best…

cs.HC2023

ActorLens: Visual Analytics for High-level Actor Identification in MOBA Games

Zhihua Jin, Gaoping Huang, Zixin Chen +5

Multiplayer Online Battle Arenas (MOBAs) have garnered a substantial player base worldwide. Nevertheless, the presence of noxious players, commonly referred to as "actors", can sig…

cs.HC2023★ 61 cited

Augmenting Sports Videos with VisCommentator

Chen Zhu-Tian, Shuainan Ye, Xiangtong Chu +4

Visualizing data in sports videos is gaining traction in sports analytics, given its ability to communicate insights and explicate player strategies engagingly. However, augmenting…

cs.HC2022

CohortVA: A Visual Analytic System for Interactive Exploration of Cohorts based on Historical Data

Wei Zhang, Jason K. Wong, Xumeng Wang +8

In history research, cohort analysis seeks to identify social structures and figure mobilities by studying the group-based behavior of historical figures. Prior works mainly employ…

cs.HC2022★ 35 cited

Persua: A Visual Interactive System to Enhance the Persuasiveness of Arguments in Online Discussion

Meng Xia, Qian Zhu, Xingbo Wang +3

Persuading people to change their opinions is a common practice in online discussion forums on topics ranging from political campaigns to relationship consultation. Enhancing peopl…

cs.LG2021★ 5 cited

M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis

Xingbo Wang, Jianben He, Zhihua Jin +3

Multimodal sentiment analysis aims to recognize people's attitudes from multiple communication channels such as verbal content (i.e., text), voice, and facial expressions. It has b…

cs.HC2021

Seek for Success: A Visualization Approach for Understanding the Dynamics of Academic Careers

Yifang Wang, Tai-Quan Peng, Huihua Lu +4

How to achieve academic career success has been a long-standing research question in social science research. With the growing availability of large-scale well-documented academic…

cs.CL2021★ 15 cited

DeHumor: Visual Analytics for Decomposing Humor

Xingbo Wang, Yao Ming, Tongshuang Wu +3

Despite being a critical communication skill, grasping humor is challenging -- a successful use of humor requires a mixture of both engaging content build-up and an appropriate voc…

cs.HC2021★ 111 cited

KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation

Haotian Li, Yong Wang, Songheng Zhang +2

Visualization recommendation or automatic visualization generation can significantly lower the barriers for general users to rapidly create effective data visualizations, especiall…

cs.HC2021★ 2 cited

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…

cs.HC2021

iQUANT: Interactive Quantitative Investment Using Sparse Regression Factors

Xuanwu Yue, Qiao Gu, Deyun Wang +2

The model-based investing using financial factors is evolving as a principal method for quantitative investment. The main challenge lies in the selection of effective factors towar…

cs.HC2021★ 6 cited

AQEyes: Visual Analytics for Anomaly Detection and Examination of Air Quality Data

Dongyu Liu, Kalyan Veeramachaneni, Alexander Geiger +2

Anomaly detection plays a key role in air quality analysis by enhancing situational awareness and alerting users to potential hazards. However, existing anomaly detection approache…

cs.HC2021★ 2 cited

Deep Colormap Extraction from Visualizations

Lin-Ping Yuan, Wei Zeng, Siwei Fu +4

This work presents a new approach based on deep learning to automatically extract colormaps from visualizations. After summarizing colors in an input visualization image as a Lab c…

cs.HC2021★ 9 cited

InfoColorizer: Interactive Recommendation of Color Palettes for Infographics

Lin-Ping Yuan, Ziqi Zhou, Jian Zhao +3

When designing infographics, general users usually struggle with getting desired color palettes using existing infographic authoring tools, which sometimes sacrifice customizabilit…

cs.HC2021★ 70 cited

A Visual Analytics Approach to Facilitate the Proctoring of Online Exams

Haotian Li, Min Xu, Yong Wang +2

Online exams have become widely used to evaluate students' performance in mastering knowledge in recent years, especially during the pandemic of COVID-19. However, it is challengin…

cs.HC2021★ 2 cited

Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison

Aoyu Wu, Liwenhan Xie, Bongshin Lee +3

We contribute a method to automate parameter configurations for chart layouts by learning from human preferences. Existing charting tools usually determine the layout parameters us…

cs.HC2021★ 9 cited

Causal Perception in Question-Answering Systems

Po-Ming Law, Leo Yu-Ho Lo, Alex Endert +2

Root cause analysis is a common data analysis task. While question-answering systems enable people to easily articulate a why question (e.g., why students in Massachusetts have hig…

cs.HC2020★ 120 cited

A Survey on ML4VIS: Applying Machine Learning Advances to Data Visualization

Qianwen Wang, Zhutian Chen, Yong Wang +1

Inspired by the great success of machine learning (ML), researchers have applied ML techniques to visualizations to achieve a better design, development, and evaluation of visualiz…

cs.HC2020★ 6 cited

GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks

Zhihua Jin, Yong Wang, Qianwen Wang +3

Graph Neural Networks (GNNs) aim to extend deep learning techniques to graph data and have achieved significant progress in graph analysis tasks (e.g., node classification) in rece…

cs.HC2020★ 2 cited

QLens: Visual Analytics of Multi-step Problem-solving Behaviors for Improving Question Design

Meng Xia, Reshika Palaniyappan Velumani, Yong Wang +2

With the rapid development of online education in recent years, there has been an increasing number of learning platforms that provide students with multi-step questions to cultiva…

cs.HC2020★ 4 cited

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…

cs.HC2020★ 1 cited

What Makes a Data-GIF Understandable?

Xinhuan Shu, Aoyu Wu, Junxiu Tang +3

GIFs are enjoying increasing popularity on social media as a format for data-driven storytelling with visualization; simple visual messages are embedded in short animations that us…

cs.HC2020★ 2 cited

TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Group

Yating Lin, Kamkwai Wong, Yong Wang +4

Tax evasion is a serious economic problem for many countries, as it can undermine the government' s tax system and lead to an unfair business competition environment. Recent resear…