Huangjie Zheng

Orcid: 0000-0003-0508-5034

According to our database1, Huangjie Zheng authored at least 40 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step.
CoRR, 2024

What If We Recaption Billions of Web Images with LLaMA-3?
CoRR, 2024

Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation.
CoRR, 2024

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MVTexGen: Synthesising 3D Textures Using Multi-View Diffusion.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Long-tailed Diffusion Models with Oriented Calibration.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Contrastive Attraction and Contrastive Repulsion for Representation Learning.
Trans. Mach. Learn. Res., 2023

CORE-MM: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models.
CoRR, 2023

Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond.
CoRR, 2023

Beta Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models.
Proceedings of the International Conference on Machine Learning, 2023

Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Diffusion-GAN: Training GANs with Diffusion.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Class-Balancing Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning on Attribute-Missing Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Regularized Implicit Policy for Offline Reinforcement Learning.
CoRR, 2022

Truncated Diffusion Probabilistic Models.
CoRR, 2022

Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs.
CoRR, 2022

CARD: Classification and Regression Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Contrastive Conditional Transport for Representation Learning.
CoRR, 2021

Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Alignment Attention by Matching Key and Query Distributions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Prototype-Oriented Framework for Unsupervised Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
ACT: Asymptotic Conditional Transport.
CoRR, 2020

Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework.
CoRR, 2020

MCMC-Interactive Variational Inference.
CoRR, 2020

2019
Node Attribute Generation on Graphs.
CoRR, 2019

Elastic Boundary Projection for 3D Medical Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Understanding VAEs in Fisher-Shannon Plane.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Elastic Boundary Projection for 3D Medical Imaging Segmentation.
CoRR, 2018

Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation.
CoRR, 2018

Understanding VAEs in Fisher-Shannon Plane.
CoRR, 2018

Degeneration in VAE: in the Light of Fisher Information Loss.
CoRR, 2018

Learning and Applying Ontology for Machine Learning in Cyber Attack Detection.
Proceedings of the 17th IEEE International Conference On Trust, 2018

2017
Describing Geographical Characteristics with Social Images.
Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017


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