Huangjie Zheng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 50

Top Topics

Variational Inference

Diffusion Models

Diffusion Process

Attack Detection

Top Venues

Publications

Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation. CoRR (2024)
Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang
Long-tailed Diffusion Models with Oriented Calibration. ICLR (2024)
Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. ICLR (2024)
Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie
What If We Recaption Billions of Web Images with LLaMA-3? CoRR (2024)
Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang
Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation. CoRR (2024)
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. CoRR (2023)
Mohammadreza Armandpour, Huangjie Zheng, Ali Sadeghian, Amir Sadeghian, Mingyuan Zhou
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond. CoRR (2023)
Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models. CoRR (2023)
Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou
POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models. ICML (2023)
Zhixin Wang, Xiaoyun Zhang, Ziying Zhang, Huangjie Zheng, Mingyuan Zhou, Ya Zhang, Yanfeng Wang
DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration. CoRR (2023)
Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang
Class-Balancing Diffusion Models. CVPR (2023)
Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang
Class-Balancing Diffusion Models. CoRR (2023)
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. NeurIPS (2023)
Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng
Beta Diffusion. NeurIPS (2023)
Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders. ICLR (2023)
Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng
Beta Diffusion. CoRR (2023)
Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. CoRR (2023)
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
Contrastive Attraction and Contrastive Repulsion for Representation Learning. Trans. Mach. Learn. Res. 2023 (2023)
Xiaotian Han, Quanzeng You, Yongfei Liu, Wentao Chen, Huangjie Zheng, Khalil Mrini, Xudong Lin, Yiqi Wang, Bohan Zhai, Jianbo Yuan, Heng Wang, Hongxia Yang
CORE-MM: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models. CoRR (2023)
Zhixin Wang, Ziying Zhang, Xiaoyun Zhang, Huangjie Zheng, Mingyuan Zhou, Ya Zhang, Yanfeng Wang
DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration. CVPR (2023)
Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Diffusion-GAN: Training GANs with Diffusion. ICLR (2023)
Shentao Yang, Zhendong Wang, Huangjie Zheng, Yihao Feng, Mingyuan Zhou
A Regularized Implicit Policy for Offline Reinforcement Learning. CoRR (2022)
Xizewen Han, Huangjie Zheng, Mingyuan Zhou
CARD: Classification and Regression Diffusion Models. CoRR (2022)
Dongsheng Wang, Dandan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen, Mingyuan Zhou
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings. ICLR (2022)
Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs. CoRR (2022)
Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Diffusion-GAN: Training GANs with Diffusion. CoRR (2022)
Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang
Learning on Attribute-Missing Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Truncated Diffusion Probabilistic Models. CoRR (2022)
Dongsheng Wang, Dandan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen, Mingyuan Zhou
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings. CoRR (2022)
Xizewen Han, Huangjie Zheng, Mingyuan Zhou
CARD: Classification and Regression Diffusion Models. NeurIPS (2022)
Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng, Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou
A Prototype-Oriented Framework for Unsupervised Domain Adaptation. CoRR (2021)
Shujian Zhang, Xinjie Fan, Huangjie Zheng, Korawat Tanwisuth, Mingyuan Zhou
Alignment Attention by Matching Key and Query Distributions. CoRR (2021)
Shujian Zhang, Xinjie Fan, Huangjie Zheng, Korawat Tanwisuth, Mingyuan Zhou
Alignment Attention by Matching Key and Query Distributions. NeurIPS (2021)
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
Contrastive Conditional Transport for Representation Learning. CoRR (2021)
Huangjie Zheng, Mingyuan Zhou
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions. NeurIPS (2021)
Fei Ye, Huangjie Zheng, Chaoqin Huang, Ya Zhang
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework. ICIP (2021)
Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng, Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou
A Prototype-Oriented Framework for Unsupervised Domain Adaptation. NeurIPS (2021)
Fei Ye, Huangjie Zheng, Chaoqing Huang, Ya Zhang
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework. CoRR (2020)
Huangjie Zheng, Mingyuan Zhou
ACT: Asymptotic Conditional Transport. CoRR (2020)
Quan Zhang, Huangjie Zheng, Mingyuan Zhou
MCMC-Interactive Variational Inference. CoRR (2020)
Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang
Learning on Attribute-Missing Graphs. CoRR (2020)
Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille
Elastic Boundary Projection for 3D Medical Image Segmentation. CVPR (2019)
Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang
Node Attribute Generation on Graphs. CoRR (2019)
Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang
Understanding VAEs in Fisher-Shannon Plane. AAAI (2019)
Huangjie Zheng, Yuchen Wang, Chen Han, Fangjie Le, Ruan He, Jialiang Lu
Learning and Applying Ontology for Machine Learning in Cyber Attack Detection. TrustCom/BigDataSE (2018)
Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang
Understanding VAEs in Fisher-Shannon Plane. CoRR (2018)
Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille
Elastic Boundary Projection for 3D Medical Imaging Segmentation. CoRR (2018)
Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang
Degeneration in VAE: in the Light of Fisher Information Loss. CoRR (2018)
Huangjie Zheng, Lingxi Xie, Tianwei Ni, Ya Zhang, Yan-Feng Wang, Qi Tian, Elliot K. Fishman, Alan L. Yuille
Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation. CoRR (2018)
Huangjie Zheng, Jiangchao Yao, Ya Zhang
Describing Geographical Characteristics with Social Images. MMM (1) (2017)