Zhengxin You
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Zhengxin You has a total of 24 co-authors. Here are the top co-authors by number of shared publications:
- Bo Tang
Southern University of Science and Technology, Shenzhen, China
2 shared publications - Qiaomu Shen
Beijing Institute of Technology, Zhuhai, Zhuhai, China
2 shared publications - Bongshin Lee
Yonsei University, Seoul, Republic of Korea
1 shared publication - Dongmei Zhang
Microsoft Research Asia, Beijing, China
1 shared publication - Haidong Zhang
Microsoft, Beijing, China
1 shared publication - Haotian Liu
Southern University of Science and Technology, Shenzhen, Guangdong, China
1 shared publication
Latest Publications
- Open Access
- 22 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 364-377
AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference
- 22 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 364-377
Open AccessAlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference
- Open Access
- 22 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 267-270
VQLens: A Demonstration of Vector Query Execution Analysis
- 22 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 267-270
Open AccessVQLens: A Demonstration of Vector Query Execution Analysis
- 10 June 2024
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Visualization and Computer Graphics
- Vol. 31 (9) , 4638-4654
WonderFlow: Narration-Centric Design of Animated Data Videos
Creating an animated data video with audio narration is a time-consuming and complex task that requires expertise. It involves designing complex animations, turning written scripts into audio narrations, and synchronizing visual changes with the narrations. This paper presents WonderFlow, an interactive authoring tool, that facilitates narration-centric design of animated data videos. WonderFlow allows authors to easily specify semantic links between text and the corresponding chart elements. Then it automatically generates audio narration by leveraging text-to-speech techniques and aligns the narration with an animation. WonderFlow provides a structure-aware animation library designed to ease chart animation creation, enabling authors to apply pre-designed animation effects to common visualization components. Additionally, authors can preview and refine their data videos within the same system, without having to switch between different creation tools. A series of evaluation results confirmed that WonderFlow is easy to use and simplifies the creation of data videos with narration-animation interplay.
- 10 June 2024
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Visualization and Computer Graphics
- Vol. 31 (9) , 4638-4654
WonderFlow: Narration-Centric Design of Animated Data Videos
Creating an animated data video with audio narration is a time-consuming and complex task that requires expertise. It involves designing complex animations, turning written scripts into audio narrations, and synchronizing visual changes with the narrations. This paper presents WonderFlow, an interactive authoring tool, that facilitates narration-centric design of animated data videos. WonderFlow allows authors to easily specify semantic links between text and the corresponding chart elements. Then it automatically generates audio narration by leveraging text-to-speech techniques and aligns the narration with an animation. WonderFlow provides a structure-aware animation library designed to ease chart animation creation, enabling authors to apply pre-designed animation effects to common visualization components. Additionally, authors can preview and refine their data videos within the same system, without having to switch between different creation tools. A series of evaluation results confirmed that WonderFlow is easy to use and simplifies the creation of data videos with narration-animation interplay.