120 citations · 729 across the 28 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…