Shitong Shao
12 papers · 2022–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (28) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8)
π
Cross-Pollinator
(14)
ποΈ
Keyword Collector
(55)
π
Century Club
(12)
β‘
Prolific Year
(5)
Conferences
CVPR (2)
ICLR (2)
IJCAI (2)
NIPS (2)
ACML (1)
ECCV (1)
ICCV (1)
NAACL (1)
Top co-authors
Research topics
Keywords
knowledge distillation
(3)
model compression
(2)
teacher-student learning
(2)
synthetic datum
(2)
training efficiency
(2)
image classification
(2)
diffusion model
(2)
synthetic dataset
(2)
neural network
(2)
dataset distillation
(2)
image generation
(1)
data augmentation
(1)
image synthesis
(1)
text-to-image generation
(1)
adversarial robustness
(1)
text-to-image synthesis
(1)
generative learning
(1)
attention mechanism
(1)
certified robustness
(1)
data compression
(1)
Papers
Gibberish is All You Need for Membership Inference Detection in Contrastive Language-Audio Pretraining
NAACL 2025
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation
CVPR 2025
Golden Noise for Diffusion Models: A Learning Framework
ICCV 2025
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
ICLR 2025
IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis
ICLR 2025
Elucidating the Design Space of Dataset Condensation
NIPS 2024
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching
CVPR 2024
Diffusion Models are Certifiably Robust Classifiers
NIPS 2024
Rethinking Centered Kernel Alignment in Knowledge Distillation
IJCAI 2024
Auto-DAS: Automated Proxy Discovery for Training-free Distillation-aware Architecture Search
ECCV 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