Songhua Liu
29 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (7) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (50)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(7)
π€
Dynamic Duo
(26)
π§¬
Topic Evolution
β‘
Prolific Year
(7)
π
Century Club
(28)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(100)
Conferences
CVPR (9)
ICCV (7)
NIPS (4)
ECCV (3)
ICML (3)
AAAI (2)
ACL (1)
Top co-authors
Keywords
knowledge distillation
(6)
diffusion model
(5)
dataset distillation
(4)
image generation
(4)
neural network
(4)
transfer learning
(3)
generative model
(3)
synthetic datum
(3)
few-shot learning
(2)
attention mechanism
(2)
model compression
(2)
synthetic dataset
(2)
variational inference
(1)
zero-shot learning
(1)
domain generalization
(1)
self-attention mechanism
(1)
neural decoding
(1)
federated learning
(1)
one-shot learning
(1)
personalized generation
(1)
Papers
FreLay: Frequency-aware Energy Function for Training-free Layout-to-Image Generation
AAAI 2026
POSTA: A Go-to Framework for Customized Artistic Poster Generation
CVPR 2025
Open-World Authorship Attribution
ACL 2025
Diffusion Model is Effectively Its Own Teacher
CVPR 2025
Hash3D: Training-free Acceleration for 3D Generation
CVPR 2025
OminiControl: Minimal and Universal Control for Diffusion Transformer
ICCV 2025
Heavy Labels Out! Dataset Distillation with Label Space Lightening
ICCV 2025
UniversalBooth: Model-Agnostic Personalized Text-to-Image Generation
ICCV 2025
Control and Realism: Best of Both Worlds in Layout-to-Image without Training
ICML 2025
Ultra-Resolution Adaptation with Ease
ICML 2025
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching
ECCV 2024
Distilled Datamodel with Reverse Gradient Matching
CVPR 2024
MindBridge: A Cross-Subject Brain Decoding Framework
CVPR 2024
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
ICML 2024
Mutual-Modality Adversarial Attack with Semantic Perturbation
AAAI 2024
One-shot Federated Learning via Synthetic Distiller-Distillate Communication
NIPS 2024
Partial Network Cloning
CVPR 2023
Few-Shot Dataset Distillation via Translative Pre-Training
ICCV 2023
MGDD: A Meta Generator for Fast Dataset Distillation
NIPS 2023
SG-Former: Self-guided Transformer with Evolving Token Reallocation
ICCV 2023
Distribution Shift Inversion for Out-of-Distribution Prediction
CVPR 2023
Slimmable Dataset Condensation
CVPR 2023
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
CVPR 2023
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation
ECCV 2022
Dataset Distillation via Factorization
NIPS 2022
Deep Model Reassembly
NIPS 2022
Learning with Recoverable Forgetting
ECCV 2022
Paint Transformer: Feed Forward Neural Painting With Stroke Prediction
ICCV 2021
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
ICCV 2021