Publications

To test LLM’s ability to collaborate, we design a blocks-world environment, where two agents, each having unique goals and skills, build a target structure together…

We propose a visual analytics system that allows users to compare performance during multiple task sessions, focusing on non-linear tasks where different step sequences can lead to success…

We propose ARTiST, an automatic text simplification system that uses a few-shot prompt and GPT-3 models to specifically optimize the text length and semantic content for AR.

We present a novel data story generation workflow that leverages adaptive machine-guided elicitation of user feedback to customize the story …

Graph or network data are widely studied in both data mining and visualization communities to review the relationship among different entities and groups. The data facts derived from graph visual analysis are important to help understand the social structures of complex data, especially for data journalism. However, it is challenging …

The concept of an augmented reality (AR) assistant has captured the human imagination for decades, becoming a staple of modern science fiction. In pursuing this goal, it is necessary to develop artificial intelligence (AI)-based methods that …

Video summarization aims to simplify large scale video browsing by generating concise, short summaries that diver from but well represent the original video…

The target of automatic Video summarization is to create a short skim of the original long video while preserving the major content/events…