Hanshu Yan
15 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (10)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🤝
Dynamic Duo
(10)
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(53)
💎
Century Club
(15)
Conferences
ICLR (5)
CVPR (3)
ICML (2)
IJCAI (2)
NIPS (2)
JMLR (1)
Top co-authors
Keywords
diffusion model
(4)
adversarial training
(2)
generalization error
(2)
adversarial robustness
(2)
image generation
(2)
channel attention
(1)
knowledge distillation
(1)
stochastic gradient descent
(1)
knowledge transfer
(1)
attention mechanism
(1)
vision transformer
(1)
convergence analysis
(1)
video generation
(1)
image editing
(1)
trajectory modeling
(1)
feature selection
(1)
flow matching
(1)
efficient computing
(1)
computational efficiency
(1)
semi-supervised learning
(1)
Papers
LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
ICML 2025
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
ICLR 2025
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
CVPR 2025
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
NIPS 2024
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
ICLR 2024
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
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
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning
JMLR 2022
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
ICLR 2022
Towards Adversarially Robust Deep Image Denoising
IJCAI 2022
Modeling Trajectories with Neural Ordinary Differential Equations
IJCAI 2021
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond
NIPS 2021
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
ICML 2021
On Robustness of Neural Ordinary Differential Equations
ICLR 2020