no code implementations • 28 Apr 2024 • Yilin Ye, Jianing Hao, Yihan Hou, Zhan Wang, Shishi Xiao, Yuyu Luo, Wei Zeng
From a technical perspective, this paper looks back on previous visualization studies leveraging GenAI and discusses the challenges and opportunities for future research.
no code implementations • 20 Jan 2024 • Shishi Xiao, Liangwei Wang, Xiaojuan Ma, Wei Zeng
Semantic typographic logos harmoniously blend typeface and imagery to represent semantic concepts while maintaining legibility.
no code implementations • 4 Dec 2023 • Yilin Ye, Qian Zhu, Shishi Xiao, Kang Zhang, Wei Zeng
Moreover, the intent expansion framework enables users to perform flexible contextualized interactions with the search results to further specify or adjust their detailed search intents iteratively.
1 code implementation • 28 Apr 2023 • Shishi Xiao, Suizi Huang, Yue Lin, Yilin Ye, Wei Zeng
Pictorial visualization seamlessly integrates data and semantic context into visual representation, conveying complex information in a manner that is both engaging and informative.
1 code implementation • 14 Apr 2023 • Shishi Xiao, Yihan Hou, Cheng Jin, Wei Zeng
Retrieving charts from a large corpus is a fundamental task that can benefit numerous applications such as visualization recommendations. The retrieved results are expected to conform to both explicit visual attributes (e. g., chart type, colormap) and implicit user intents (e. g., design style, context information) that vary upon application scenarios.
no code implementations • 19 Mar 2023 • Yixun Liang, Hao He, Shishi Xiao, Hao Lu, Yingcong Chen
In this paper, we propose a principled approach that supports learning from heterogeneous datasets with different label sets.