13 citations · 16 across the 6 of their papers we have counts for
7 papers
CompoVista: A Composition-Graph-Based Visual Analytics System for Compositional Analysis of Traditional Chinese Paintings
Dekun Qian, Ruiqi Yu, Li Ye +6
Compositional analysis of Traditional Chinese Paintings (TCPs) reveals how spatial arrangement, narrative structure, and cultural-aesthetic meaning are organized within the pictori…
VisTCP: A Visualization Framework to Construct Knowledge-Graph-Based Representation for Traditional Chinese Painting
Zhiguang Zhou, Fengling Zheng, Miaoxin Hu +9
Structured representation can characterize semantic objects and relationships in images. It provides a possible effective way for the semantic understanding of Traditional Chinese…
COIVis: Eye-tracking-based Visual Exploration of Concept Learning in MOOC Videos
Zhiguang Zhou, Ruiqi Yu, Yuming Ma +7
Massive Open Online Courses (MOOCs) make high-quality instruction accessible. However, the lack of face-to-face interaction makes it difficult for instructors to obtain feedback on…
HyperMOOC: Augmenting MOOC Videos with Concept-based Embedded Visualizations
Li Ye, Lei Wang, Lihong Cai +5
Massive Open Online Courses (MOOCs) have become increasingly popular worldwide. However, learners primarily rely on watching videos, easily losing knowledge context and reducing le…
StoryExplorer: A Visualization Framework for Storyline Generation of Textual Narratives
Li Ye, Lei Wang, Shaolun Ruan +4
In the context of the exponentially increasing volume of narrative texts such as novels and news, readers struggle to extract and consistently remember storyline from these intrica…
ConceptThread: Visualizing Threaded Concepts in MOOC Videos
Zhiguang Zhou, Li Ye, Lihong Cai +5
Massive Open Online Courses (MOOCs) platforms are becoming increasingly popular in recent years. Online learners need to watch the whole course video on MOOC platforms to learn the…
YAYI 2: Multilingual Open-Source Large Language Models
Yin Luo, Qingchao Kong, Nan Xu +50
As the latest advancements in natural language processing, large language models (LLMs) have achieved human-level language understanding and generation abilities in many real-world…