Hanshu Yan
15 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (31) 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
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Research topics
Machine Learning
(14)
Deep Learning
(9)
Optimization & Theory · Machine Learning
(8)
Models
(6)
Computer Vision
(5)
Learning Types · Machine Learning
(5)
Generation
(4)
Architectures
(3)
Optimization & Theory · Deep Learning
(3)
Processing
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Core AI
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Keywords
diffusion model
(5)
adversarial robustness
(3)
generalization error
(3)
image generation
(2)
stochastic gradient descent
(2)
adversarial training
(2)
latent optimization
(2)
neural ordinary differential equation
(2)
efficient training
(1)
video generation
(1)
vision transformer
(1)
model robustness
(1)
self-supervised learning
(1)
attention mechanism
(1)
contrastive learning
(1)
feature selection
(1)
conditional generation
(1)
semi-supervised learning
(1)
channel attention
(1)
convergence analysis
(1)
Papers
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
ICLR 2025
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
CVPR 2025
LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
ICML 2025
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
ICLR 2024
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
CVPR 2024
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
CVPR 2024
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
NeurIPS 2024
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
ICLR 2024
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
ICLR 2022
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning
JMLR 2022
Towards Adversarially Robust Deep Image Denoising
IJCAI 2022
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
ICML 2021
Modeling Trajectories with Neural Ordinary Differential Equations
IJCAI 2021
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond
NeurIPS 2021
On Robustness of Neural Ordinary Differential Equations
ICLR 2020