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Yingnian Wu

10 papers hereh-index 15590 citations46 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author5

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.HC3
  • cs.CV2
  • stat.ML2
  • cs.DB1
  • cs.SE1
  • eess.AS1
same name
  • Yingnian Wu — 5 papers, h 5
  • Yingnian Wu — 2 papers, h 13
  • Yingnian Wu — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedSporthesia: Augmenting Sports Videos Using Natural Language

32 citations · 91 across the 10 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.HC2023

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…

stat.ML2023

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…

cs.DB2023

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…

cs.CV2023

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.