Chongxuan Li

About Chongxuan Li

Chongxuan Li, With an exceptional h-index of 24 and a recent h-index of 23 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of Machine Learning, Deep Generative Models.

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

MicroDreamer: Zero-shot 3D Generation in 20 Seconds by Score-based Iterative Reconstruction

Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

Progressive Image Synthesis from Semantics to Details with Denoising Diffusion GAN

Crm: Single image to 3d textured mesh with convolutional reconstruction model

Graph Diffusion Policy Optimization

Gaussian Mixture Solvers for Diffusion Models

Toward understanding generative data augmentation

On evaluating adversarial robustness of large vision-language models

Chongxuan Li Information

University

Position

___

Citations(all)

3068

Citations(since 2020)

2812

Cited By

817

hIndex(all)

24

hIndex(since 2020)

23

i10Index(all)

36

i10Index(since 2020)

36

Email

University Profile Page

Google Scholar

Chongxuan Li Skills & Research Interests

Machine Learning

Deep Generative Models

Top articles of Chongxuan Li

MicroDreamer: Zero-shot 3D Generation in 20 Seconds by Score-based Iterative Reconstruction

arXiv preprint arXiv:2404.19525

2024/4/30

Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

arXiv preprint arXiv:2404.15766

2024/4/24

Progressive Image Synthesis from Semantics to Details with Denoising Diffusion GAN

2024

Crm: Single image to 3d textured mesh with convolutional reconstruction model

arXiv preprint arXiv:2403.05034

2024/3/8

Graph Diffusion Policy Optimization

arXiv preprint arXiv:2402.16302

2024/2/26

Gaussian Mixture Solvers for Diffusion Models

Advances in Neural Information Processing Systems

2024/2/13

Toward understanding generative data augmentation

Advances in Neural Information Processing Systems

2024/2/13

On evaluating adversarial robustness of large vision-language models

Advances in Neural Information Processing Systems

2024/2/13

Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation

Advances in Neural Information Processing Systems

2024/2/13

Diffusion models and semi-supervised learners benefit mutually with few labels

Advances in Neural Information Processing Systems

2024/2/13

The blessing of randomness: Sde beats ode in general diffusion-based image editing

arXiv preprint arXiv:2311.01410

2023/11/2

BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference

2024

On memorization in diffusion models

arXiv preprint arXiv:2310.02664

2023/10/4

Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training

arXiv preprint arXiv:2308.07665

2023/8/15

Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning

arXiv preprint arXiv:2304.12824

2023/4/25

Towards understanding generalization of macro-AUC in multi-label learning

2023/7/3

Guoqiang Wu
Guoqiang Wu

H-Index: 3

Chongxuan Li
Chongxuan Li

H-Index: 9

Missdiff: Training diffusion models on tabular data with missing values

arXiv preprint arXiv:2307.00467

2023/7/2

Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning

Nature Machine Intelligence

2023/7

Controlvideo: Adding conditional control for one shot text-to-video editing

arXiv preprint arXiv:2305.17098

2023/5/26

A closer look at parameter-efficient tuning in diffusion models

arXiv preprint arXiv:2303.18181

2023/3/31

See List of Professors in Chongxuan Li University(Tsinghua University)

Co-Authors

academic-engine