Shitong Shao
15 papers · 2022–2026 · 8 venues · across top CS/AI venues
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (33) 🌍 Conference Polyglot · Silver 🌈 Renaissance Researcher (5) 💎 Century Club · Bronze
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Research topics
Deep Learning
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Learning Types · Deep Learning
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Generation
(4)
Optimization & Theory · Deep Learning
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Artificial Intelligence
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Core AI
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Learning Types · Machine Learning
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Optimization & Theory · Machine Learning
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Reinforcement Learning
(1)
Security & Privacy
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Speech & Audio
(1)
Keywords
diffusion model
(5)
knowledge distillation
(4)
model compression
(3)
image classification
(2)
image generation
(2)
synthetic dataset
(2)
synthetic data
(2)
training efficiency
(2)
teacher-student learning
(2)
neural network
(2)
dataset distillation
(2)
text-to-image generation
(2)
text-to-image synthesis
(1)
adversarial robustness
(1)
attention mechanism
(1)
video synthesis
(1)
certified robustness
(1)
video generation
(1)
speaker verification
(1)
bayesian inference
(1)
Papers
Accelerating Diffusion Model Training under Minimal Budgets: A Condensation-Based Perspective
CVPR 2026
CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think
CVPR 2026
FastLightGen: Fast and Light Video Generation with Fewer Steps and Parameters
CVPR 2026
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation
CVPR 2025
Gibberish is All You Need for Membership Inference Detection in Contrastive Language-Audio Pretraining
NAACL 2025
Golden Noise for Diffusion Models: A Learning Framework
ICCV 2025
IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis
ICLR 2025
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
ICLR 2025
Auto-DAS: Automated Proxy Discovery for Training-free Distillation-aware Architecture Search
ECCV 2024
Diffusion Models are Certifiably Robust Classifiers
NeurIPS 2024
Elucidating the Design Space of Dataset Condensation
NeurIPS 2024
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching
CVPR 2024
Rethinking Centered Kernel Alignment in Knowledge Distillation
IJCAI 2024
Teaching What You Should Teach: A Data-Based Distillation Method
IJCAI 2023
AIIR-MIX: Multi-Agent Reinforcement Learning Meets
Attention Individual Intrinsic Reward Mixing
Network
ACML 2022