Zhihang Yuan
24 papers · 2020–2026 · 9 venues · across top CS/AI venues
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Research topics
Machine Learning
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Optimization & Theory Β· Deep Learning
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Keywords
model compression
(8)
post-training quantization
(5)
diffusion model
(3)
quantization
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model quantization
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diffusion transformer
(3)
model acceleration
(2)
efficient inference
(2)
video generation
(2)
attention mechanism
(1)
sampling strategy
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curriculum learning
(1)
neural tangent kernel
(1)
transfer learning
(1)
text-to-image generation
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image generation
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neural architecture search
(1)
network pruning
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vision transformer
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autonomous driving
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Papers
MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping
CVPR 2026
OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs
AAAI 2026
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
CVPR 2025
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers
ICCV 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
MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods
ICLR 2025
MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance
ICML 2025
MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design
ICML 2025
OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
ICLR 2025
PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram
CVPR 2025
QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning
ICCV 2025
RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization
ICML 2025
Spec-VLA: Speculative Decoding for Vision-Language-Action Models with Relaxed Acceptance
EMNLP 2025
DiTFastAttn: Attention Compression for Diffusion Transformer Models
NeurIPS 2024
Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding
ICML 2024
PB-LLM: Partially Binarized Large Language Models
ICLR 2024
MIM4DD: Mutual Information Maximization for Dataset Distillation
NeurIPS 2023
PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
CVPR 2023
Post-Training Quantization on Diffusion Models
CVPR 2023
Latency-aware Spatial-wise Dynamic Networks
NeurIPS 2022
PTQ4ViT: Post-Training Quantization for Vision Transformers with Twin Uniform Quantization
ECCV 2022
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search
ECCV 2020