Huangjie Zheng
21 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (6) πΊοΈ Taxonomy Completionist (35)
πΊοΈ
Taxonomy Completionist
(35)
π
Cross-Pollinator
(15)
π
Conference Polyglot
(5)
π€
Dynamic Duo
(17)
π
Triple Crown
π
Grand Slam
π₯
Unstoppable
(5)
π
Trend Setter
π
Century Club
(21)
π
Conference Pioneer
ποΈ
Keyword Collector
(61)
β‘
Prolific Year
(7)
β
The Questioner
Conferences
ICLR (7)
NIPS (6)
ICML (4)
CVPR (3)
AAAI (1)
Top co-authors
Research topics
Keywords
diffusion model
(4)
denoising diffusion
(2)
uncertainty estimation
(2)
image generation
(2)
generative model
(2)
mode collapse
(2)
variational inference
(1)
kl divergence
(1)
generative modeling
(1)
prototype learning
(1)
uncertainty quantification
(1)
unsupervised domain adaptation
(1)
prompt learning
(1)
language understanding
(1)
adversarial robustness
(1)
probability distribution
(1)
bregman divergence
(1)
image restoration
(1)
boundary detection
(1)
fisher information
(1)
Papers
Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation
ICLR 2025
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
ICLR 2025
What If We Recaption Billions of Web Images with LLaMA-3?
ICML 2025
Normalizing Flows are Capable Generative Models
ICML 2025
Long-tailed Diffusion Models with Oriented Calibration
ICLR 2024
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
ICML 2024
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
ICLR 2024
POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models
ICML 2023
DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration
CVPR 2023
Class-Balancing Diffusion Models
CVPR 2023
Beta Diffusion
NIPS 2023
Diffusion-GAN: Training GANs with Diffusion
ICLR 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
NIPS 2023
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders
ICLR 2023
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings
ICLR 2022
CARD: Classification and Regression Diffusion Models
NIPS 2022
Alignment Attention by Matching Key and Query Distributions
NIPS 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
NIPS 2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions
NIPS 2021
Elastic Boundary Projection for 3D Medical Image Segmentation
CVPR 2019
Understanding VAEs in Fisher-Shannon Plane
AAAI 2019