Ying Nian Wu

Ying Nian Wu

University of California, Los Angeles

H-index: 59

North America-United States

About Ying Nian Wu

Ying Nian Wu, With an exceptional h-index of 59 and a recent h-index of 45 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of Generative modeling, Unsupervised learning, Representation learning, Computer vision, Bioinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Yingnian Wu and Weng Kee Wong’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’

LLM^ 3: Large Language Model-based Task and Motion Planning with Motion Failure Reasoning

Learning Energy-Based Prior Model with Diffusion-Amortized MCMC

Chameleon: Plug-and-play compositional reasoning with large language models

Efficient and Scalable Fine-Tune of Language Models for Genome Understanding

Latent Plan Transformer: Planning as Latent Variable Inference

Triple Regression for Camera Agnostic Sim2Real Robot Grasping and Manipulation Tasks

A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation

Ying Nian Wu Information

University

Position

Department of Statistics

Citations(all)

17411

Citations(since 2020)

9180

Cited By

11339

hIndex(all)

59

hIndex(since 2020)

45

i10Index(all)

124

i10Index(since 2020)

104

Email

University Profile Page

University of California, Los Angeles

Google Scholar

View Google Scholar Profile

Ying Nian Wu Skills & Research Interests

Generative modeling

Unsupervised learning

Representation learning

Computer vision

Bioinformatics

Top articles of Ying Nian Wu

Title

Journal

Author(s)

Publication Date

Yingnian Wu and Weng Kee Wong’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’

Journal of the Royal Statistical Society Series B: Statistical Methodology

Ying Nian Wu

Weng Kee Wong

2024/4

LLM^ 3: Large Language Model-based Task and Motion Planning with Motion Failure Reasoning

arXiv preprint arXiv:2403.11552

Shu Wang

Muzhi Han

Ziyuan Jiao

Zeyu Zhang

Ying Nian Wu

...

2024/3/18

Learning Energy-Based Prior Model with Diffusion-Amortized MCMC

Advances in Neural Information Processing Systems

Peiyu Yu

Yaxuan Zhu

Sirui Xie

Xiaojian Shawn Ma

Ruiqi Gao

...

2024/2/13

Chameleon: Plug-and-play compositional reasoning with large language models

Advances in Neural Information Processing Systems

Pan Lu

Baolin Peng

Hao Cheng

Michel Galley

Kai-Wei Chang

...

2024/2/13

Efficient and Scalable Fine-Tune of Language Models for Genome Understanding

arXiv preprint arXiv:2402.08075

Huixin Zhan

Ying Nian Wu

Zijun Zhang

2024/2/12

Latent Plan Transformer: Planning as Latent Variable Inference

arXiv preprint arXiv:2402.04647

Deqian Kong

Dehong Xu

Minglu Zhao

Bo Pang

Jianwen Xie

...

2024/2/7

Triple Regression for Camera Agnostic Sim2Real Robot Grasping and Manipulation Tasks

arXiv preprint arXiv:2309.09017

Yuanhong Zeng

Yizhou Zhao

Ying Nian Wu

2023/9/16

A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation

Junfeng Zuo

Xiao Liu

Yingnian Wu

Si Wu

Wen-Hao Zhang

2023/7/15

Learning hierarchical features with joint latent space energy-based prior

Jiali Cui

Ying Nian Wu

Tian Han

2023

Textures

Chi Chung Ko

Chang Dong Cheng

2009

Information Scaling

Song-Chun Zhu

Ying Nian Wu

2023/3/15

Learning energy-based models by cooperative diffusion recovery likelihood

arXiv preprint arXiv:2309.05153

Yaxuan Zhu

Jianwen Xie

Yingnian Wu

Ruiqi Gao

2023/9/10

Aligner: One Global Token is Worth Millions of Parameters When Aligning Large Language Models

arXiv preprint arXiv:2312.05503

Zhou Ziheng

Yingnian Wu

Song-Chun Zhu

Demetri Terzopoulos

2023/12/9

Understanding Embodied Reference with Touch-Line Transformer.

Yang Li

Xiaoxue Chen

Hao Zhao

Jiangtao Gong

Guyue Zhou

...

2023

Gestalt Laws and Perceptual Organization

Song-Chun Zhu

Ying Nian Wu

2023/3/15

Primal Sketch: Integrating Textures and Textons

Song-Chun Zhu

Ying Nian Wu

2023/3/15

Diverse and faithful knowledge-grounded dialogue generation via sequential posterior inference

Yan Xu

Deqian Kong

Dehong Xu

Ziwei Ji

Bo Pang

...

2023/7/3

Conformal Normalization in Recurrent Neural Network of Grid Cells

arXiv preprint arXiv:2310.19192

Dehong Xu

Ruiqi Gao

Wen-Hao Zhang

Xue-Xin Wei

Ying Nian Wu

2023/10/29

Learning joint latent space ebm prior model for multi-layer generator

Jiali Cui

Ying Nian Wu

Tian Han

2023

1 D Sketch and Layered Representation

Song-Chun Zhu

Ying Nian Wu

2023/3/15

See List of Professors in Ying Nian Wu University(University of California, Los Angeles)

Co-Authors

H-index: 139
Donald B Rubin

Donald B Rubin

Temple University

H-index: 123
Bing Ren, Ph.D.

Bing Ren, Ph.D.

University of California, San Diego

H-index: 95
song-chun zhu

song-chun zhu

University of California, Los Angeles

H-index: 94
Stefano Soatto

Stefano Soatto

University of California, Los Angeles

H-index: 33
Xiuwen Liu

Xiuwen Liu

Florida State University

H-index: 29
Chuanhai Liu

Chuanhai Liu

Purdue University

academic-engine