activity
20192023
most citedA Survey on ML4VIS: Applying Machine Learning Advances to Data Visualization

120 citations · 729 across the 28 of their papers we have counts for

collaborators

28 papers

cs.HC2023★ 23 cited

Anchorage: Visual Analysis of Satisfaction in Customer Service Videos via Anchor Events

Kam Kwai Wong, Xingbo Wang, Yong Wang +3

Delivering customer services through video communications has brought new opportunities to analyze customer satisfaction for quality management. However, due to the lack of reliabl…

cs.HC2022★ 11 cited

VAID: Indexing View Designs in Visual Analytics System

Lu Ying, Aoyu Wu, Haotian Li +7

Visual analytics (VA) systems have been widely used in various application domains. However, VA systems are complex in design, which imposes a serious problem: although the academi…

cs.HC2022★ 29 cited

DMiner: Dashboard Design Mining and Recommendation

Yanna Lin, Haotian Li, Aoyu Wu +2

Dashboards, which comprise multiple views on a single display, help analyze and communicate multiple perspectives of data simultaneously. However, creating effective and elegant da…

cs.HC2022★ 20 cited

GestureLens: Visual Analysis of Gestures in Presentation Videos

Haipeng Zeng, Xingbo Wang, Yong Wang +3

Appropriate gestures can enhance message delivery and audience engagement in both daily communication and public presentations. In this paper, we contribute a visual analytic appro…

cs.HC2022

ComputableViz: Mathematical Operators as a Formalism for Visualization Processing and Analysis

Aoyu Wu, Wai Tong, Haotian Li +3

Data visualizations are created and shared on the web at an unprecedented speed, raising new needs and questions for processing and analyzing visualizations after they have been ge…

cs.HC2022★ 34 cited

Structure-aware Visualization Retrieval

Haotian Li, Yong Wang, Aoyu Wu +2

With the wide usage of data visualizations, a huge number of Scalable Vector Graphic (SVG)-based visualizations have been created and shared online. Accordingly, there has been an…

cs.HC2022★ 7 cited

Beyond Interestingness: Semantic and Context-Aware Natural Language Query Recommendations for Visual Data Analysis

Xingbo Wang, Siyuan Li, Furui Cheng +5

Recent advances in large language models (LLMs) have made natural language interfaces (NLIs) widely accessible for data exploration, yet analysts who have a broad analytical object…

cs.CL2021★ 11 cited

NumGPT: Improving Numeracy Ability of Generative Pre-trained Models

Zhihua Jin, Xin Jiang, Xingbo Wang +4

Existing generative pre-trained language models (e.g., GPT) focus on modeling the language structure and semantics of general texts. However, those models do not consider the numer…

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

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★ 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.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★ 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…

cs.HC2020★ 1 cited

TradAO: A Visual Analytics System for Trading Algorithm Optimization

Ka Wing Tsang, Haotian Li, Fuk Ming Lam +3

With the wide applications of algorithmic trading, it has become critical for traders to build a winning trading algorithm to beat the market. However, due to the lack of efficient…

cs.LG2020★ 32 cited

Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network

Haotian Li, Huan Wei, Yong Wang +2

Student performance prediction is critical to online education. It can benefit many downstream tasks on online learning platforms, such as estimating dropout rates, facilitating st…

cs.HC2020★ 56 cited

Visual Analysis of Discrimination in Machine Learning

Qianwen Wang, Zhenhua Xu, Zhutian Chen +3

The growing use of automated decision-making in critical applications, such as crime prediction and college admission, has raised questions about fairness in machine learning. How…

cs.HC2020★ 25 cited

DFSeer: A Visual Analytics Approach to Facilitate Model Selection for Demand Forecasting

Dong Sun, Zezheng Feng, Yuanzhe Chen +5

Selecting an appropriate model to forecast product demand is critical to the manufacturing industry. However, due to the data complexity, market uncertainty and users' demanding re…

cs.HC2020

RankBooster: Visual Analysis of Ranking Predictions

Abishek Puri, Bon Kyung Ku, Yong Wang +1

Ranking is a natural and ubiquitous way to facilitate decision-making in various applications. However, different rankings are often used for the same set of entities, with each ra…

cs.HC2020★ 33 cited

VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking

Xingbo Wang, Haipeng Zeng, Yong Wang +4

The modulation of voice properties, such as pitch, volume, and speed, is crucial for delivering a successful public speech. However, it is challenging to master different voice mod…

cs.HC2020★ 4 cited

Predicting Student Performance in Interactive Online Question Pools Using Mouse Interaction Features

Huan Wei, Haotian Li, Meng Xia +2

Modeling student learning and further predicting the performance is a well-established task in online learning and is crucial to personalized education by recommending different le…

cs.HC2019★ 9 cited

Visual Analytics of Student Learning Behaviors on K-12 Mathematics E-learning Platforms

Meng Xia, Huan Wei, Min Xu +4

With increasing popularity in online learning, a surge of E-learning platforms have emerged to facilitate education opportunities for k-12 (from kindergarten to 12th grade) student…