Daochang Liu
20 papers · 2019–2025 · 8 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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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π¬
Deep Specialist
(11)
π€
Dynamic Duo
(18)
π
Keyword Champion
(2)
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(74)
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Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(15)
Computer Vision
(13)
Machine Learning
(13)
Models
(12)
Generation
(9)
Application Areas
(5)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Core Methods
(3)
Optimization & Theory Β· Machine Learning
(3)
Analysis
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Processing
(2)
Keywords
diffusion model
(9)
image generation
(9)
text-to-image generation
(2)
image quality
(2)
classifier-free guidance
(2)
video understanding
(2)
sampling method
(2)
classifier guidance
(2)
generative model
(2)
sampling trajectory
(2)
computer vision
(1)
image synthesis
(1)
transfer learning
(1)
prompt learning
(1)
contrastive learning
(1)
confidence calibration
(1)
weakly supervised learning
(1)
score estimation
(1)
early stopping
(1)
self-supervised learning
(1)
Papers
Anti-Exposure Bias in Diffusion Models
ICLR 2025
CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V
NAACL 2025
DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents
MICCAI 2025
Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models
CVPR 2025
Exploring Local Memorization in Diffusion Models via Bright Ending Attention
ICLR 2025
Representative Guidance: Diffusion Model Sampling with Coherence
ICLR 2025
Boosting Diffusion Models with an Adaptive Momentum Sampler
IJCAI 2024
Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning
ICML 2024
Residual Learning in Diffusion Models
CVPR 2024
Towards Memorization-Free Diffusion Models
CVPR 2024
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense
NeurIPS 2023
Calibrating a Deep Neural Network with Its Predecessors
IJCAI 2023
Contrastive Sampling Chains in Diffusion Models
NeurIPS 2023
Diffusion Action Segmentation
ICCV 2023
Personalized Image Generation for Color Vision Deficiency Population
ICCV 2023
PixelAsParam: A Gradient View on Diffusion Sampling with Guidance
ICML 2023
Private Image Generation With Dual-Purpose Auxiliary Classifier
CVPR 2023
Rethinking Conditional Diffusion Sampling with Progressive Guidance
NeurIPS 2023
Towards Unified Surgical Skill Assessment
CVPR 2021
Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization
CVPR 2019