Song Wen
9 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🔥 Unstoppable · Bronze
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Keyword Collector
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Research topics
Deep Learning
(7)
Machine Learning
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Models
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Artificial Intelligence
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Computer Vision
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Architectures
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Processing
(3)
Application Areas
(2)
Core AI
(2)
Core Methods
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Natural Language Processing
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
diffusion model
(2)
image editing
(2)
few-shot learning
(1)
variational inference
(1)
transfer learning
(1)
in-context learning
(1)
autonomous driving
(1)
image denoising
(1)
image reconstruction
(1)
text generation
(1)
model adaptation
(1)
trajectory forecasting
(1)
efficient computing
(1)
orthogonal decomposition
(1)
image generation
(1)
singular value decomposition
(1)
agent interaction
(1)
conjugate prior
(1)
spectral decomposition
(1)
representation learning
(1)
Papers
DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models
WACV 2026
FlowChef: Steering of Rectified Flow Models for Controlled Generations
ICCV 2025
Implicit In-context Learning
ICLR 2025
SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models
WACV 2025
ProxEdit: Improving Tuning-Free Real Image Editing With Proximal Guidance
WACV 2024
Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting
WACV 2024
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
CVPR 2023
Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations
ECCV 2022
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty
AAAI 2021