Describing Geographical Characteristics with Social Images. - Huangjie Zheng; Jiangchao Yao; Ya Zhang 002 (MMM (1), 2017)

Learning and Applying Ontology for Machine Learning in Cyber Attack Detection. - Huangjie Zheng; Yuchen Wang; Chen Han; Fangjie Le; Ruan He; Jialiang Lu (TrustCom/BigDataSE, 2018)

Degeneration in VAE: in the Light of Fisher Information Loss. - Huangjie Zheng; Jiangchao Yao; Ya Zhang 002; Ivor W. Tsang (CoRR, 2018)

Understanding VAEs in Fisher-Shannon Plane. - Huangjie Zheng; Jiangchao Yao; Ya Zhang 002; Ivor W. Tsang (CoRR, 2018)

Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation. - Huangjie Zheng; Lingxi Xie; Tianwei Ni; Ya Zhang 002; Yanfeng Wang 001; Qi Tian 001; Elliot K. Fishman; Alan L. Yuille (CoRR, 2018)

Elastic Boundary Projection for 3D Medical Imaging Segmentation. - Tianwei Ni; Lingxi Xie; Huangjie Zheng; Elliot K. Fishman; Alan L. Yuille (CoRR, 2018)

Understanding VAEs in Fisher-Shannon Plane. - Huangjie Zheng; Jiangchao Yao; Ya Zhang 002; Ivor W. Tsang; Jia Wang (AAAI, 2019)

Elastic Boundary Projection for 3D Medical Image Segmentation. - Tianwei Ni; Lingxi Xie; Huangjie Zheng; Elliot K. Fishman; Alan L. Yuille (CVPR, 2019)

Node Attribute Generation on Graphs. - Xu Chen 026; Siheng Chen; Huangjie Zheng; Jiangchao Yao; Kenan Cui; Ya Zhang 002; Ivor W. Tsang (CoRR, 2019)

MCMC-Interactive Variational Inference. - Quan Zhang; Huangjie Zheng; Mingyuan Zhou (CoRR, 2020)

Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework. - Fei Ye; Huangjie Zheng; Chaoqing Huang; Ya Zhang 002 (CoRR, 2020)

ACT: Asymptotic Conditional Transport. - Huangjie Zheng; Mingyuan Zhou (CoRR, 2020)

Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework. - Fei Ye; Huangjie Zheng; Chaoqin Huang; Ya Zhang 002 (ICIP, 2021)

A Prototype-Oriented Framework for Unsupervised Domain Adaptation. - Korawat Tanwisuth; Xinjie Fan; Huangjie Zheng; Shujian Zhang; Hao Zhang 050; Bo Chen 001; 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 (NeurIPS, 2021)

Contrastive Conditional Transport for Representation Learning. - Huangjie Zheng; Xu Chen 026; Jiangchao Yao; Hongxia Yang; Chunyuan Li; Ya Zhang 002; Hao Zhang 050; Ivor W. Tsang; Jingren Zhou 001; Mingyuan Zhou (CoRR, 2021)

Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings. - Dongsheng Wang 003; Dandan Guo; He Zhao 001; Huangjie Zheng; Korawat Tanwisuth; Bo Chen 001; Mingyuan Zhou (ICLR, 2022)

CARD: Classification and Regression Diffusion Models. - Xizewen Han; Huangjie Zheng; Mingyuan Zhou (NeurIPS, 2022)

Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs. - Huangjie Zheng; Pengcheng He; Weizhu Chen; Mingyuan Zhou (CoRR, 2022)

Truncated Diffusion Probabilistic Models. - Huangjie Zheng; Pengcheng He; Weizhu Chen; Mingyuan Zhou (CoRR, 2022)

A Regularized Implicit Policy for Offline Reinforcement Learning. - Shentao Yang; Zhendong Wang; Huangjie Zheng; Yihao Feng; Mingyuan Zhou (CoRR, 2022)

Learning on Attribute-Missing Graphs. - Xu Chen 026; Siheng Chen; Jiangchao Yao; Huangjie Zheng; Ya Zhang 002; Ivor W. Tsang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Class-Balancing Diffusion Models. - Yiming Qin; Huangjie Zheng; Jiangchao Yao; Mingyuan Zhou; Ya Zhang 002 (CVPR, 2023)

DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration. - Zhixin Wang; Ziying Zhang; Xiaoyun Zhang 001; Huangjie Zheng; Mingyuan Zhou; Ya Zhang 002; Yanfeng Wang 001 (CVPR, 2023)

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

Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders. - Huangjie Zheng; Pengcheng He; Weizhu Chen; Mingyuan Zhou (ICLR, 2023)

POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models. - Korawat Tanwisuth; Shujian Zhang; Huangjie Zheng; Pengcheng He; Mingyuan Zhou (ICML, 2023)

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. - Zhendong Wang; Yifan Jiang 001; Huangjie Zheng; Peihao Wang; Pengcheng He; Zhangyang Wang; Weizhu Chen; Mingyuan Zhou (NeurIPS, 2023)

Beta Diffusion. - Mingyuan Zhou; Tianqi Chen; Zhendong Wang; Huangjie Zheng (NeurIPS, 2023)

Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond. - Mohammadreza Armandpour; Ali Sadeghian; Huangjie Zheng; Amir Sadeghian; Mingyuan Zhou (CoRR, 2023)

CORE-MM: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models. - Xiaotian Han; Quanzeng You; Yongfei Liu; Wentao Chen; Huangjie Zheng; Khalil Mrini; Xudong Lin 007; Yiqi Wang 004; Bohan Zhai; Jianbo Yuan; Heng Wang; Hongxia Yang (CoRR, 2023)

Contrastive Attraction and Contrastive Repulsion for Representation Learning. - Huangjie Zheng; Xu Chen 026; Jiangchao Yao; Hongxia Yang; Chunyuan Li; Ya Zhang 002; Hao Zhang 050; Ivor W. Tsang; Jingren Zhou 001; Mingyuan Zhou (Trans. Mach. Learn. Res., 2023)

Long-tailed Diffusion Models with Oriented Calibration. - Tianjiao Zhang; Huangjie Zheng; Jiangchao Yao; Xiangfeng Wang; Mingyuan Zhou; Ya Zhang 002; Yanfeng Wang 001 (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)

MVTexGen: Synthesising 3D Textures Using Multi-View Diffusion. - Jinyi Wang; Fei Ben; Huangjie Zheng; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (ICME, 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 (ICML, 2024)

Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation. - Mingyuan Zhou; Zhendong Wang; Huangjie Zheng; Hai Huang (CoRR, 2024)

What If We Recaption Billions of Web Images with LLaMA-3? - Xianhang Li; Haoqin Tu; Mude Hui; Zeyu Wang 008; Bingchen Zhao; Junfei Xiao; Sucheng Ren; Jieru Mei; Qing Liu 017; Huangjie Zheng; Yuyin Zhou; Cihang Xie (CoRR, 2024)

Normalizing Flows are Capable Generative Models. - Shuangfei Zhai; Ruixiang Zhang; Preetum Nakkiran; David Berthelot; Jiatao Gu; Huangjie Zheng; Tianrong Chen; Miguel Ángel Bautista 001; Navdeep Jaitly; Joshua M. Susskind (CoRR, 2024)

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

Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step. - Mingyuan Zhou; Huangjie Zheng; Yi Gu; Zhendong Wang; Hai Huang (ICLR, 2025)

Modality-Consistent Prompt Tuning With Optimal Transport. - Hairui Ren; Fan Tang; Huangjie Zheng; He Zhao 001; Dandan Guo; Yi Chang 001 (IEEE Trans. Circuits Syst. Video Technol., 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 001; Josh M. Susskind; Shuangfei Zhai (CoRR, 2025)

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation. - Shansan Gong; Ruixiang Zhang; Huangjie Zheng; Jiatao Gu; Navdeep Jaitly; Lingpeng Kong; Yizhe Zhang 002 (CoRR, 2025)

TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics. - Tianrong Chen; Huangjie Zheng; David Berthelot; Jiatao Gu; Josh M. Susskind; Shuangfei Zhai (CoRR, 2025)

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows. - Ruixiang Zhang; Shuangfei Zhai; Jiatao Gu; Yizhe Zhang 002; Huangjie Zheng; Tianrong Chen; Miguel Ángel Bautista 001; Joshua M. Susskind; Navdeep Jaitly (CoRR, 2025)

Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs. - Feng Hong 004; Geng Yu; Yushi Ye; Haicheng Huang; Huangjie Zheng; Ya Zhang 002; Yanfeng Wang 001; Jiangchao Yao (CoRR, 2025)