Yuhao Zhou

papers

9,943

total citations

papers (15)

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

NEURIPS 2020arXiv

7,576

citations

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

NEURIPS 2022arXiv

2,036

citations

Learning to Simulate Dynamic Environments With GameGAN

CVPR 2020arXiv

117

citations

The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing

ICLR 2024arXiv

citations

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning

ICML 2024arXiv

citations

Gradient Estimation with Discrete Stein Operators

NEURIPS 2022arXiv

citations

Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

ICML 2024arXiv

citations

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.

NEURIPS 2023arXiv

citations

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence

ICCV 2023arXiv

citations

REPA Works Until It Doesn’t: Early-Stopped, Holistic Alignment Supercharges Diffusion Training

NEURIPS 2025

citations

Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints

CVPR 2025arXiv

citations

Scalable Quasi-Bayesian Inference for Instrumental Variable Regression

NEURIPS 2021

citations

Yuhao Zhou

papers (15)

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Learning to Simulate Dynamic Environments With GameGAN

The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning

Gradient Estimation with Discrete Stein Operators

Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence

REPA Works Until It Doesn’t: Early-Stopped, Holistic Alignment Supercharges Diffusion Training

Fast Instrument Learning with Faster Rates

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

EA-Vit: Efficient Adaptation for Elastic Vision Transformer

Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints

Scalable Quasi-Bayesian Inference for Instrumental Variable Regression

papers (15)

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Learning to Simulate Dynamic Environments With GameGAN

The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning

Gradient Estimation with Discrete Stein Operators

Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence

REPA Works Until It Doesn’t: Early-Stopped, Holistic Alignment Supercharges Diffusion Training

Fast Instrument Learning with Faster Rates

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

EA-Vit: Efficient Adaptation for Elastic Vision Transformer

Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints

Scalable Quasi-Bayesian Inference for Instrumental Variable Regression