Enshu Liu
8 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
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Trend Setter
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Research topics
Deep Learning
(6)
Machine Learning
(5)
Models
(5)
Computer Vision
(3)
Optimization & Theory · Machine Learning
(3)
Application Areas
(2)
Architectures
(2)
Generation
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Processing
(1)
Keywords
image generation
(3)
diffusion probabilistic model
(2)
image restoration
(1)
ensemble learning
(1)
video generation
(1)
model distillation
(1)
neural architecture search
(1)
model merging
(1)
flow matching
(1)
generative model
(1)
diffusion model
(1)
autoregressive model
(1)
memory efficiency
(1)
memory optimization
(1)
consistency model
(1)
evolutionary search
(1)
structural pruning
(1)
ordinary differential equation
(1)
sampling acceleration
(1)
skip connection
(1)
Papers
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
ICLR 2025
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
ICLR 2025
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
ICLR 2025
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models
ICLR 2024
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
ECCV 2024
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start”
AAAI 2023
Memory-Oriented Structural Pruning for Efficient Image Restoration
AAAI 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
ICML 2023