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Home/Authors/Yuchen Liu

Yuchen Liu

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 4:44 AM AMS

21

papers

396

total citations

papers (21)

Detecting, Explaining, and Mitigating Memorization in Diffusion Models

SdAE: Self-Distillated Masked Autoencoder

Content-Aware GAN Compression

CalFAT: Calibrated Federated Adversarial Training with Label Skewness

NEURIPS 2022arXiv

3D-FM GAN: Towards 3D-Controllable Face Manipulation

Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models

Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection

X-Fusion: Introducing New Modality to Frozen Large Language Models

Personalized Residuals for Concept-Driven Text-to-Image Generation

DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization

SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning

SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model

METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models

Generating, Fast and Slow: Scalable Parallel Video Generation with Video Interface Networks

Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-Supervised Exploration for Face Anti-Spoofing

Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization

Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition

Personalized Federated Learning under Local Supervision

Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization

Towards Unsupervised Domain Generalization for Face Anti-Spoofing