Zheng, Huangjie

25 publications

ICLR 2025 Adversarial Score Identity Distillation: Rapidly Surpassing the Teacher in One Step Mingyuan Zhou, Huangjie Zheng, Yi Gu, Zhendong Wang, Hai Huang

NeurIPS 2025 Flexible Language Modeling in Continuous Space with Transformer-Based Autoregressive Flows Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Yizhe Zhang, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Joshua M. Susskind, Navdeep Jaitly

NeurIPS 2025 Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting Ruyi An, Haicheng Huang, Huangjie Zheng, Mingyuan Zhou

ICLR 2025 Guided Score Identity Distillation for Data-Free One-Step Text-to-Image Generation Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang

ICML 2025 Normalizing Flows Are Capable Generative Models Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Navdeep Jaitly, Joshua M. Susskind

NeurIPS 2025 STARFlow: Scaling Latent Normalizing Flows for High-Resolution Image Synthesis Jiatao Gu, Tianrong Chen, David Berthelot, Huangjie Zheng, Yuyang Wang, Ruixiang Zhang, Laurent Dinh, Miguel Ángel Bautista, Joshua M. Susskind, Shuangfei Zhai

NeurIPS 2025 TADA: Improved Diffusion Sampling with Training-Free Augmented DynAmics Tianrong Chen, Huangjie Zheng, David Berthelot, Jiatao Gu, Joshua M. Susskind, Shuangfei Zhai

ICML 2025 What if We Recaption Billions of Web Images with Llama-3? Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie

ICLR 2024 Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou

ICLR 2024 Long-Tailed Diffusion Models with Oriented Calibration Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang

ICML 2024 Score Identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang

NeurIPS 2023 Beta Diffusion Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng

CVPR 2023 Class-Balancing Diffusion Models Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang

TMLR 2023 Contrastive Attraction and Contrastive Repulsion for Representation Learning Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor Tsang, Jingren Zhou, Mingyuan Zhou

CVPR 2023 DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration Zhixin Wang, Ziying Zhang, Xiaoyun Zhang, Huangjie Zheng, Mingyuan Zhou, Ya Zhang, Yanfeng Wang

ICLR 2023 Diffusion-GAN: Training GANs with Diffusion Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou

ICML 2023 POUF: Prompt-Oriented Unsupervised Fine-Tuning for Large Pre-Trained Models Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou

NeurIPS 2023 Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang "Atlas" Wang, Weizhu Chen, Mingyuan Zhou

ICLR 2023 Truncated Diffusion Probabilistic Models and Diffusion-Based Adversarial Auto-Encoders Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou

NeurIPS 2022 CARD: Classification and Regression Diffusion Models Xizewen Han, Huangjie Zheng, Mingyuan Zhou

ICLR 2022 Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings Dongsheng Wang, Dan dan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen, Mingyuan Zhou

NeurIPS 2021 A Prototype-Oriented Framework for Unsupervised Domain Adaptation Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng, Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou

NeurIPS 2021 Alignment Attention by Matching Key and Query Distributions Shujian Zhang, Xinjie Fan, Huangjie Zheng, Korawat Tanwisuth, Mingyuan Zhou

NeurIPS 2021 Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions Huangjie Zheng, Mingyuan Zhou

AAAI 2019 Understanding VAEs in Fisher-Shannon Plane Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang