Yuzhang Shang
23 papers · 2021–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (29) 🤝 Dynamic Duo (16) 🗃️ Keyword Collector (90)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Prolific
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(18)
Deep Learning
(14)
Application Areas
(14)
Artificial Intelligence
(8)
Core AI
(8)
Optimization & Theory · Deep Learning
(8)
Optimization & Theory · Machine Learning
(8)
Models
(7)
Learning Types · Machine Learning
(5)
Architectures
(4)
Computer Vision
(3)
Generation
(2)
Learning Types · Deep Learning
(2)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Keywords
model compression
(12)
diffusion model
(5)
post-training quantization
(5)
knowledge distillation
(5)
model quantization
(3)
dataset distillation
(3)
low-bit quantization
(3)
large language model
(2)
contrastive learning
(2)
image generation
(2)
vision-language model
(2)
generative model
(2)
data-free learning
(2)
diffusion transformer
(2)
neural network quantization
(2)
neural network optimization
(2)
weight quantization
(2)
mutual information
(2)
sampling strategy
(1)
curriculum learning
(1)
Papers
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
CVPR 2025
CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation
ICCV 2025
Distilling Long-tailed Datasets
CVPR 2025
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
CVPR 2025
DLFR-Gen: Diffusion-based Video Generation with Dynamic Latent Frame Rate
ICCV 2025
EA-Vit: Efficient Adaptation for Elastic Vision Transformer
ICCV 2025
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning
ACL 2025
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
ICCV 2025
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
ACL 2025
QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning
ICCV 2025
Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning
ICCV 2025
Dataset Quantization with Active Learning based Adaptive Sampling
ECCV 2024
Efficient Multitask Dense Predictor via Binarization
CVPR 2024
Enhancing Post-training Quantization Calibration through Contrastive Learning
CVPR 2024
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning
NeurIPS 2024
PB-LLM: Partially Binarized Large Language Models
ICLR 2024
PTQ4DiT: Post-training Quantization for Diffusion Transformers
NeurIPS 2024
Causal-DFQ: Causality Guided Data-Free Network Quantization
ICCV 2023
MIM4DD: Mutual Information Maximization for Dataset Distillation
NeurIPS 2023
Post-Training Quantization on Diffusion Models
CVPR 2023
Lipschitz Continuity Retained Binary Neural Network
ECCV 2022
Network Binarization via Contrastive Learning
ECCV 2022
Lipschitz Continuity Guided Knowledge Distillation
ICCV 2021