Yuzhang Shang

papers

828

total citations

papers (19)

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

CVPR 2025arXiv

citations

Network Binarization via Contrastive Learning

ECCV 2022arXiv

citations

Lipschitz Continuity Retained Binary Neural Network

ECCV 2022arXiv

citations

MIM4DD: Mutual Information Maximization for Dataset Distillation

NEURIPS 2023arXiv

citations

Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning

ICCV 2025arXiv

citations

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture

CVPR 2025arXiv

citations

Causal-DFQ: Causality Guided Data-Free Network Quantization

ICCV 2023arXiv

citations

Efficient Multitask Dense Predictor via Binarization

CVPR 2024arXiv

citations

CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation

ICCV 2025

citations

Distilling Long-tailed Datasets

CVPR 2025arXiv

citations

EA-Vit: Efficient Adaptation for Elastic Vision Transformer

ICCV 2025arXiv

citations

Efficient Multimodal Dataset Distillation via Generative Models

NEURIPS 2025arXiv

citations

DLFR-Gen: Diffusion-based Video Generation with Dynamic Latent Frame Rate

ICCV 2025

citations

Enhancing Post-training Quantization Calibration through Contrastive Learning

CVPR 2024

citations

Yuzhang Shang

papers (19)

Post-Training Quantization on Diffusion Models

LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models

PB-LLM: Partially Binarized Large Language Models

QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning

Lipschitz Continuity Guided Knowledge Distillation

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

Network Binarization via Contrastive Learning

Lipschitz Continuity Retained Binary Neural Network

MIM4DD: Mutual Information Maximization for Dataset Distillation

Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture

Causal-DFQ: Causality Guided Data-Free Network Quantization

Efficient Multitask Dense Predictor via Binarization

CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation

Distilling Long-tailed Datasets

EA-Vit: Efficient Adaptation for Elastic Vision Transformer

Efficient Multimodal Dataset Distillation via Generative Models

DLFR-Gen: Diffusion-based Video Generation with Dynamic Latent Frame Rate

Enhancing Post-training Quantization Calibration through Contrastive Learning

papers (19)

Post-Training Quantization on Diffusion Models

LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models

PB-LLM: Partially Binarized Large Language Models

QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning

Lipschitz Continuity Guided Knowledge Distillation

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

Network Binarization via Contrastive Learning

Lipschitz Continuity Retained Binary Neural Network

MIM4DD: Mutual Information Maximization for Dataset Distillation

Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture

Causal-DFQ: Causality Guided Data-Free Network Quantization

Efficient Multitask Dense Predictor via Binarization

CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation

Distilling Long-tailed Datasets

EA-Vit: Efficient Adaptation for Elastic Vision Transformer

Efficient Multimodal Dataset Distillation via Generative Models

DLFR-Gen: Diffusion-based Video Generation with Dynamic Latent Frame Rate

Enhancing Post-training Quantization Calibration through Contrastive Learning