Yuzhang Shang

19

Papers

118

Total Citations

Papers (19)

PB-LLM: Partially Binarized Large Language Models

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

Efficient Multitask Dense Predictor via Binarization

CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation

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

Post-Training Quantization on Diffusion Models

Lipschitz Continuity Guided Knowledge Distillation

Causal-DFQ: Causality Guided Data-Free Network Quantization

Network Binarization via Contrastive Learning

Lipschitz Continuity Retained Binary Neural Network

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

Distilling Long-tailed Datasets

EA-Vit: Efficient Adaptation for Elastic Vision Transformer

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

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

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

MIM4DD: Mutual Information Maximization for Dataset Distillation