Yuzhang Shang
23 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🐝 Cross-Pollinator (4) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🌈 Renaissance Researcher (6)
🌍
Conference Polyglot
(6)
🤝
Dynamic Duo
(16)
🔥
Unstoppable
(5)
💎
Century Club
(23)
⚡
Prolific Year
(6)
🗃️
Keyword Collector
(88)
Conferences
ICCV (8)
CVPR (6)
ECCV (3)
NIPS (3)
ACL (2)
ICLR (1)
Top co-authors
Research topics
Keywords
model compression
(11)
diffusion model
(5)
knowledge distillation
(4)
post-training quantization
(4)
model quantization
(3)
dataset distillation
(3)
low-bit quantization
(3)
large language model
(2)
diffusion transformer
(2)
mutual information
(2)
image generation
(2)
contrastive learning
(2)
vision-language model
(2)
generative model
(2)
data-free learning
(2)
neural network quantization
(2)
neural network optimization
(2)
sampling strategy
(1)
curriculum learning
(1)
information bottleneck
(1)
Papers
EA-Vit: Efficient Adaptation for Elastic Vision Transformer
ICCV 2025
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
ICCV 2025
CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation
ICCV 2025
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
ACL 2025
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning
ACL 2025
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
CVPR 2025
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
CVPR 2025
Distilling Long-tailed Datasets
CVPR 2025
Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning
ICCV 2025
QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning
ICCV 2025
DLFR-Gen: Diffusion-based Video Generation with Dynamic Latent Frame Rate
ICCV 2025
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning
NIPS 2024
Efficient Multitask Dense Predictor via Binarization
CVPR 2024
Enhancing Post-training Quantization Calibration through Contrastive Learning
CVPR 2024
PB-LLM: Partially Binarized Large Language Models
ICLR 2024
PTQ4DiT: Post-training Quantization for Diffusion Transformers
NIPS 2024
Dataset Quantization with Active Learning based Adaptive Sampling
ECCV 2024
MIM4DD: Mutual Information Maximization for Dataset Distillation
NIPS 2023
Post-Training Quantization on Diffusion Models
CVPR 2023
Causal-DFQ: Causality Guided Data-Free Network Quantization
ICCV 2023
Lipschitz Continuity Retained Binary Neural Network
ECCV 2022
Network Binarization via Contrastive Learning
ECCV 2022
Lipschitz Continuity Guided Knowledge Distillation
ICCV 2021