Zhendong Wang
24 papers · 2020–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Deep Learning
(19)
Models
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Machine Learning
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Computer Vision
(10)
Artificial Intelligence
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Core AI
(7)
Generation
(6)
Learning Types Β· Machine Learning
(6)
Application Areas
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Optimization & Theory
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Reinforcement Learning
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Learning Types Β· Deep Learning
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Natural Language Processing
(2)
Keywords
diffusion model
(10)
image generation
(5)
text-to-image generation
(3)
one-step generation
(3)
offline reinforcement learning
(2)
variational inference
(2)
score identity distillation
(2)
knowledge distillation
(2)
policy gradient
(2)
kl divergence
(2)
generative model
(2)
image restoration
(1)
sample efficiency
(1)
motion deblurring
(1)
domain generalization
(1)
semantic segmentation
(1)
transformer architecture
(1)
policy optimization
(1)
in-context learning
(1)
conformal prediction
(1)
Papers
Shanks: Simultaneous Hearing and Thinking for Spoken Language Models
ACL 2026
Unified Multimodal Models as Auto-Encoders
CVPR 2026
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
ICLR 2025
Audio-Aware Large Language Models as Judges for Speaking Styles
EMNLP 2025
DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models
CVPR 2025
DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models
AAAI 2025
Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation
ICLR 2025
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation
ICML 2025
SmartEraser: Remove Anything from Images using Masked-Region Guidance
CVPR 2025
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning
NeurIPS 2024
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
ICLR 2024
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
ICML 2024
AltFreezing for More General Video Face Forgery Detection
CVPR 2023
Beta Diffusion
NeurIPS 2023
Diffusion-GAN: Training GANs with Diffusion
ICLR 2023
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning
ICLR 2023
DIRE for Diffusion-Generated Image Detection
ICCV 2023
In-Context Learning Unlocked for Diffusion Models
NeurIPS 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
NeurIPS 2023
Probabilistic Conformal Prediction Using Conditional Random Samples
AISTATS 2023
Uformer: A General U-Shaped Transformer for Image Restoration
CVPR 2022
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation
ICLR 2020
Implicit Distributional Reinforcement Learning
NeurIPS 2020
Thompson Sampling via Local Uncertainty
ICML 2020