32 citations · 91 across the 10 of their papers we have counts for
10 papers
NeighViz: Towards Better Understanding of Neighborhood Effects on Social Groups with Spatial Data
Yue Yu, Yifang Wang, Qisen Yang +5
Understanding how local environments influence individual behaviors, such as voting patterns or suicidal tendencies, is crucial in social science to reveal and reduce spatial dispa…
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
Yaxuan Zhu, Jianwen Xie, Yingnian Wu +1
Training energy-based models (EBMs) on high-dimensional data can be both challenging and time-consuming, and there exists a noticeable gap in sample quality between EBMs and other…
Beep: Balancing Effectiveness and Efficiency when Finding Multivariate Patterns in Racket Sports
Jiang Wu, Dongyu Liu, Ziyang Guo +1
Modeling each hit as a multivariate event in racket sports and conducting sequential analysis aids in assessing player/team performance and identifying successful tactics for coach…
Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation
Weinan Song, Yaxuan Zhu, Lei He +2
This paper studies a novel energy-based cooperative learning framework for multi-domain image-to-image translation. The framework consists of four components: descriptor, translato…
Revealing the Semantics of Data Wrangling Scripts With COMANTICS
Kai Xiong, Zhongsu Luo, Siwei Fu +3
Data workers usually seek to understand the semantics of data wrangling scripts in various scenarios, such as code debugging, reusing, and maintaining. However, the understanding i…
Sporthesia: Augmenting Sports Videos Using Natural Language
Chen Zhu-Tian, Qisen Yang, Xiao Xie +4
Augmented sports videos, which combine visualizations and video effects to present data in actual scenes, can communicate insights engagingly and thus have been increasingly popula…
RASIPAM: Interactive Pattern Mining of Multivariate Event Sequences in Racket Sports
Jiang Wu, Dongyu Liu, Ziyang Guo +1
Experts in racket sports like tennis and badminton use tactical analysis to gain insight into competitors' playing styles. Many data-driven methods apply pattern mining to racket s…
VisImages: A Fine-Grained Expert-Annotated Visualization Dataset
Dazhen Deng, Yihong Wu, Xinhuan Shu +4
Images in visualization publications contain rich information, e.g., novel visualization designs and implicit design patterns of visualizations. A systematic collection of these im…
Deep neural network based i-vector mapping for speaker verification using short utterances
Jinxi Guo, Ning Xu, Kailun Qian +4
Text-independent speaker recognition using short utterances is a highly challenging task due to the large variation and content mismatch between short utterances. I-vector based sy…
Layered Logic Classifiers: Exploring the `And' and `Or' Relations
Zhuowen Tu, Piotr Dollar, Yingnian Wu
Designing effective and efficient classifier for pattern analysis is a key problem in machine learning and computer vision. Many the solutions to the problem require to perform log…