9 papers
Beyond Generating Code: Evaluating GPT on a Data Visualization Course
Chen Zhu-Tian, Chenyang Zhang, Qianwen Wang +5
This paper presents an empirical evaluation of the performance of the Generative Pre-trained Transformer (GPT) model in Harvard's CS171 data visualization course. While previous st…
LassoNet: Deep Lasso-Selection of 3D Point Clouds
Chen Zhu-Tian, Wei Zeng, Zhiguang Yang +3
Selection is a fundamental task in exploratory analysis and visualization of 3D point clouds. Prior researches on selection methods were developed mainly based on heuristics such a…
CrossData: Leveraging Text-Data Connections for Authoring Data Documents
Chen Zhu-Tian, Haijun Xia
Data documents play a central role in recording, presenting, and disseminating data. Despite the proliferation of applications and systems designed to support the analysis, visuali…
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…
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…
RL-LABEL: A Deep Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios
Chen Zhu-Tian, Daniele Chiappalupi, Tica Lin +3
Labels are widely used in augmented reality (AR) to display digital information. Ensuring the readability of AR labels requires placing them occlusion-free while keeping visual lin…