BUPT-MCPRL at TRECVID 2010. - Xin Guo; Yuanbo Chen; Wei Liu; Yuanhui Mao; Han Zhang 010; Kang Zhou; Lingxi Wang; Hua Yan; Zhi-Cheng Zhao 001; Yanyun Zhao; Anni Cai (TRECVID, 2010)

BUPT-MCPRL at TRECVID 2011. - Zhicheng Zhao 001; Yanyun Zhao; Xin Guo; Yuanbo Chen; Yan Hua; Wen Wang; Cheng Liu; Siyuan Wu; Han Zhang 010; Lingxi Wang; Yuanhui Mao; Anni Cai; et al. (TRECVID, 2011)

Video Browser Showdown by NUS. - Jin Yuan 002; Huan-Bo Luan; Dejun Hou; Han Zhang 010; Yan-Tao Zheng; Zheng-Jun Zha; Tat-Seng Chua (MMM, 2012)

Categorization of Underwater Habitats Using Dynamic Video Textures. - Jun Hu; Han Zhang 010; Anastasia Miliou; Thodoris Tsimpidis; Hazel Thornton; Vladimir Pavlovic 001 (ICCV Workshops, 2013)

Robust shape prior modeling based on Gaussian-Bernoulli restricted Boltzmann Machine. - Han Zhang 010; Shaoting Zhang 001; Kang Li 004; Dimitris N. Metaxas (ISBI, 2014)

SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition. - Han Zhang 010; Tao Xu; Mohamed Elhoseiny; Xiaolei Huang 001; Shaoting Zhang 001; Ahmed M. Elgammal; Dimitris N. Metaxas (CVPR, 2016)

Multimodal Deep Learning for Cervical Dysplasia Diagnosis. - Tao Xu; Han Zhang 010; Xiaolei Huang 001; Shaoting Zhang 001; Dimitris N. Metaxas (MICCAI (2), 2016)

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks. - Han Zhang 010; Tao Xu; Hongsheng Li 001; Shaoting Zhang 001; Xiaolei Huang 001; Xiaogang Wang 001; Dimitris N. Metaxas (CoRR, 2016)

Link the Head to the "Beak": Zero Shot Learning from Noisy Text Description at Part Precision. - Mohamed Elhoseiny; Yizhe Zhu; Han Zhang 010; Ahmed M. Elgammal (CVPR, 2017)

StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks. - Han Zhang 010; Tao Xu; Hongsheng Li 001 (ICCV, 2017)

SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation. - Yuan Xue 002; Tao Xu; Han Zhang 010; L. Rodney Long; Xiaolei Huang 001 (CoRR, 2017)

Multi-feature based benchmark for cervical dysplasia classification evaluation. - Tao Xu; Han Zhang 010; Cheng Xin; Edward Kim; L. Rodney Long; Zhiyun Xue; Sameer K. Antani; Xiaolei Huang 001 (Pattern Recognit., 2017)

AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks. - Tao Xu; Pengchuan Zhang; Qiuyuan Huang; Han Zhang 010; Zhe Gan; Xiaolei Huang 001; Xiaodong He 001 (CVPR, 2018)

Improving GANs Using Optimal Transport. - Tim Salimans; Han Zhang 010; Alec Radford; Dimitris N. Metaxas (ICLR (Poster), 2018)

SegAN: Adversarial Network with Multi-scale L 1 Loss for Medical Image Segmentation. - Yuan Xue 002; Tao Xu; Han Zhang 010; L. Rodney Long; Xiaolei Huang 001 (Neuroinformatics, 2018)

Co-Occurrent Features in Semantic Segmentation. - Hang Zhang 005; Han Zhang 010; Chenguang Wang 001; Junyuan Xie (CVPR, 2019)

Self-Attention Generative Adversarial Networks. - Han Zhang 010; Ian J. Goodfellow; Dimitris N. Metaxas; Augustus Odena (ICML, 2019)

IEG: Robust Neural Network Training to Tackle Severe Label Noise. - Zizhao Zhang; Han Zhang 010; Sercan Ömer Arik; Honglak Lee; Tomas Pfister (CoRR, 2019)

ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring. - David Berthelot; Nicholas Carlini; Ekin D. Cubuk; Alex Kurakin; Kihyuk Sohn; Han Zhang 010; Colin Raffel (CoRR, 2019)

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks. - Han Zhang 010; Tao Xu; Hongsheng Li 001; Shaoting Zhang 001; Xiaogang Wang 001; Xiaolei Huang 001; Dimitris N. Metaxas (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. - Giannis Daras; Augustus Odena; Han Zhang 010; Alexandros G. Dimakis (CVPR, 2020)

Distilling Effective Supervision From Severe Label Noise. - Zizhao Zhang; Han Zhang 010; Sercan Ömer Arik; Honglak Lee; Tomas Pfister (CVPR, 2020)

ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring. - David Berthelot; Nicholas Carlini; Ekin D. Cubuk; Alex Kurakin; Kihyuk Sohn; Han Zhang 010; Colin Raffel (ICLR, 2020)

Consistency Regularization for Generative Adversarial Networks. - Han Zhang 010; Zizhao Zhang; Augustus Odena; Honglak Lee (ICLR, 2020)

Small-GAN: Speeding up GAN Training using Core-Sets. - Samarth Sinha; Han Zhang 010; Anirudh Goyal; Yoshua Bengio; Hugo Larochelle; Augustus Odena (ICML, 2020)

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. - Kihyuk Sohn; David Berthelot; Nicholas Carlini; Zizhao Zhang; Han Zhang 010; Colin Raffel; Ekin Dogus Cubuk; Alexey Kurakin; Chun-Liang Li (NeurIPS, 2020)

A Simple Semi-Supervised Learning Framework for Object Detection. - Kihyuk Sohn; Zizhao Zhang; Chun-Liang Li; Han Zhang 010; Chen-Yu Lee; Tomas Pfister (CoRR, 2020)

Image Augmentations for GAN Training. - Zhengli Zhao; Zizhao Zhang; Ting Chen 001; Sameer Singh 001; Han Zhang 010 (CoRR, 2020)

Improved Consistency Regularization for GANs. - Zhengli Zhao; Sameer Singh 001; Honglak Lee; Zizhao Zhang; Augustus Odena; Han Zhang 010 (AAAI, 2021)

Cross-Modal Contrastive Learning for Text-to-Image Generation. - Han Zhang 010; Jing Yu Koh; Jason Baldridge; Honglak Lee; Yinfei Yang (CVPR, 2021)

Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. - Wonkwang Lee; Whie Jung; Han Zhang 010; Ting Chen 001; Jing Yu Koh; Thomas E. Huang; Hyungsuk Yoon; Honglak Lee; Seunghoon Hong (ICLR, 2021)

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. - Yuliang Zou; Zizhao Zhang; Han Zhang 010; Chun-Liang Li; Xiao Bian; Jia-Bin Huang 001; Tomas Pfister (ICLR, 2021)

Improved Transformer for High-Resolution GANs. - Long Zhao 003; Zizhao Zhang; Ting Chen 001; Dimitris N. Metaxas; Han Zhang 010 (NeurIPS, 2021)

Aggregating Nested Transformers. - Zizhao Zhang; Han Zhang 010; Long Zhao 003; Ting Chen 001; Tomas Pfister (CoRR, 2021)

Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. - Zizhao Zhang; Han Zhang 010; Long Zhao 003; Ting Chen 001; Sercan Ö. Arik; Tomas Pfister (AAAI, 2022)

Learning to Prompt for Continual Learning. - Zifeng Wang 002; Zizhao Zhang; Chen-Yu Lee; Han Zhang 010; Ruoxi Sun 002; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer G. Dy; Tomas Pfister (CVPR, 2022)

MaskGIT: Masked Generative Image Transformer. - Huiwen Chang; Han Zhang 010; Lu Jiang 004; Ce Liu 001; William T. Freeman (CVPR, 2022)

MAXIM: Multi-Axis MLP for Image Processing. - Zhengzhong Tu; Hossein Talebi; Han Zhang 010; Feng Yang 008; Peyman Milanfar; Alan C. Bovik; Yinxiao Li (CVPR, 2022)

DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. - Zifeng Wang 002; Zizhao Zhang; Sayna Ebrahimi; Ruoxi Sun 002; Han Zhang 010; Chen-Yu Lee; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer G. Dy; Tomas Pfister (ECCV (26), 2022)

BLT: Bidirectional Layout Transformer for Controllable Layout Generation. - Xiang Kong; Lu Jiang 004; Huiwen Chang; Han Zhang 010; Yuan Hao; Haifeng Gong; Irfan Essa (ECCV (17), 2022)

MaxViT: Multi-axis Vision Transformer. - Zhengzhong Tu; Hossein Talebi; Han Zhang 010; Feng Yang 008; Peyman Milanfar; Alan C. Bovik; Yinxiao Li (ECCV (24), 2022)

Learning Instance-Specific Adaptation for Cross-Domain Segmentation. - Yuliang Zou; Zizhao Zhang; Chun-Liang Li; Han Zhang 010; Tomas Pfister; Jia-Bin Huang 001 (ECCV (33), 2022)

ViTGAN: Training GANs with Vision Transformers. - Kwonjoon Lee; Huiwen Chang; Lu Jiang 004; Han Zhang 010; Zhuowen Tu; Ce Liu 001 (ICLR, 2022)

Vector-quantized Image Modeling with Improved VQGAN. - Jiahui Yu; Xin Li; Jing Yu Koh; Han Zhang 010; Ruoming Pang; James Qin; Alexander Ku; Yuanzhong Xu; Jason Baldridge; Yonghui Wu (ICLR, 2022)

Phenaki: Variable Length Video Generation From Open Domain Textual Description. - Ruben Villegas; Mohammad Babaeizadeh; Pieter-Jan Kindermans; Hernan Moraldo; Han Zhang 010; Mohammad Taghi Saffar; Santiago Castro; Julius Kunze; Dumitru Erhan (CoRR, 2022)

Deep image synthesis from intuitive user input: A review and perspectives. - Yuan Xue 002; Yuan-Chen Guo; Han Zhang 010; Tao Xu; Song-Hai Zhang; Xiaolei Huang 001 (Comput. Vis. Media, 2022)

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. - Jiahui Yu; Yuanzhong Xu; Jing Yu Koh; Thang Luong; Gunjan Baid; Zirui Wang; Vijay Vasudevan; Alexander Ku; Yinfei Yang; Burcu Karagol Ayan; Ben Hutchinson; Wei Han; et al. (Trans. Mach. Learn. Res., 2022)

MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. - Tianhong Li; Huiwen Chang; Shlok Kumar Mishra; Han Zhang 010; Dina Katabi; Dilip Krishnan (CVPR, 2023)

Visual Prompt Tuning for Generative Transfer Learning. - Kihyuk Sohn; Huiwen Chang; José Lezama; Luisa Polania; Han Zhang 010; Yuan Hao; Irfan Essa; Lu Jiang 004 (CVPR, 2023)

MAGVIT: Masked Generative Video Transformer. - Lijun Yu; Yong Cheng; Kihyuk Sohn; José Lezama; Han Zhang 010; Huiwen Chang; Alexander G. Hauptmann; Ming-Hsuan Yang 001; Yuan Hao; Irfan Essa; Lu Jiang 004 (CVPR, 2023)

Dimensionality-Varying Diffusion Process. - Han Zhang 010; Ruili Feng; Zhantao Yang; Lianghua Huang; Yu Liu 063; Yifei Zhang; Yujun Shen; Deli Zhao; Jingren Zhou 001; Fan Cheng 002 (CVPR, 2023)

SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. - Ligong Han; Yinxiao Li; Han Zhang 010; Peyman Milanfar; Dimitris N. Metaxas; Feng Yang 008 (ICCV, 2023)

VQ3D: Learning a 3D-Aware Generative Model on ImageNet. - Kyle Sargent; Jing Yu Koh; Han Zhang 010; Huiwen Chang; Charles Herrmann; Pratul P. Srinivasan; Jiajun Wu 001; Deqing Sun (ICCV, 2023)

Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions. - Ruben Villegas; Mohammad Babaeizadeh; Pieter-Jan Kindermans; Hernan Moraldo; Han Zhang 010; Mohammad Taghi Saffar; Santiago Castro; Julius Kunze; Dumitru Erhan (ICLR, 2023)

Muse: Text-To-Image Generation via Masked Generative Transformers. - Huiwen Chang; Han Zhang 010; Jarred Barber; Aaron Maschinot; José Lezama; Lu Jiang 004; Ming-Hsuan Yang 001; Kevin Patrick Murphy; William T. Freeman; Michael Rubinstein; Yuanzhen Li; Dilip Krishnan (ICML, 2023)

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. - Emanuele Bugliarello; H. Hernan Moraldo; Ruben Villegas; Mohammad Babaeizadeh; Mohammad Taghi Saffar; Han Zhang 010; Dumitru Erhan; Vittorio Ferrari; Pieter-Jan Kindermans; Paul Voigtlaender (NeurIPS, 2023)

StraIT: Non-autoregressive Generation with Stratified Image Transformer. - Shengju Qian; Huiwen Chang; Yuanzhen Li; Zizhao Zhang; Jiaya Jia; Han Zhang 010 (CoRR, 2023)

Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning. - Zhuowei Li 002; Long Zhao 003; Zizhao Zhang; Han Zhang 010; Di Liu 003; Ting Liu 005; Dimitris N. Metaxas (CoRR, 2023)

Learning Disentangled Prompts for Compositional Image Synthesis. - Kihyuk Sohn; Albert E. Shaw; Yuan Hao; Han Zhang 010; Luisa Polania; Huiwen Chang; Lu Jiang 004; Irfan Essa (CoRR, 2023)

Eliminating Lipschitz Singularities in Diffusion Models. - Zhantao Yang; Ruili Feng; Han Zhang 010; Yujun Shen; Kai Zhu 004; Lianghua Huang; Yifei Zhang; Yu Liu 063; Deli Zhao; Jingren Zhou 001; Fan Cheng 002 (CoRR, 2023)

CCM: Adding Conditional Controls to Text-to-Image Consistency Models. - Jie Xiao 002; Kai Zhu 004; Han Zhang 010; Zhiheng Liu; Yujun Shen; Yu Liu 063; Xueyang Fu; Zheng-Jun Zha (CoRR, 2023)

VideoLCM: Video Latent Consistency Model. - Xiang Wang 012; Shiwei Zhang 001; Han Zhang 010; Yu Liu 063; Yingya Zhang; Changxin Gao; Nong Sang (CoRR, 2023)

Parrot: Pareto-Optimal Multi-reward Reinforcement Learning Framework for Text-to-Image Generation. - Seung Hyun Lee; Yinxiao Li; Junjie Ke; Innfarn Yoo; Han Zhang 010; Jiahui Yu; Qifei Wang; Fei Deng 001; Glenn Entis; Junfeng He; Gang Li 021; Sangpil Kim; et al. (ECCV (38), 2024)

DreamClean: Restoring Clean Image Using Deep Diffusion Prior. - Jie Xiao 002; Ruili Feng; Han Zhang 010; Zhiheng Liu; Zhantao Yang; Yurui Zhu; Xueyang Fu; Kai Zhu 004; Yu Liu 063; Zheng-Jun Zha (ICLR, 2024)

Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency. - Tianhong Li; Sangnie Bhardwaj; Yonglong Tian; Han Zhang 010; Jarred Barber; Dina Katabi; Guillaume Lajoie; Huiwen Chang; Dilip Krishnan (ICLR, 2024)

Lipschitz Singularities in Diffusion Models. - Zhantao Yang; Ruili Feng; Han Zhang 010; Yujun Shen; Kai Zhu 004; Lianghua Huang; Yifei Zhang; Yu Liu 063; Deli Zhao; Jingren Zhou 001; Fan Cheng 002 (ICLR, 2024)

CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models. - Jie Xiao 002; Kai Zhu 004; Han Zhang 010; Zhiheng Liu; Yujun Shen; Zhantao Yang; Ruili Feng; Yu Liu 063; Xueyang Fu; Zheng-Jun Zha (ICML, 2024)

Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. - Zhuowei Li 002; Long Zhao 003; Zizhao Zhang; Han Zhang 010; Di Liu 003; Ting Liu 005; Dimitris N. Metaxas (WACV, 2024)

BACON: Supercharge Your VLM with Bag-of-Concept Graph to Mitigate Hallucinations. - Zhantao Yang; Ruili Feng; Keyu Yan; Huangji Wang; Zhicai Wang; Shangwen Zhu; Han Zhang 010; Jie Xiao 002; Pingyu Wu; Kai Zhu 004; Jixuan Chen; Chen-Wei Xie; et al. (CoRR, 2024)

ε-VAE: Denoising as Visual Decoding. - Long Zhao 003; Sanghyun Woo; Ziyu Wan; Yandong Li; Han Zhang 010; Boqing Gong; Hartwig Adam; Xuhui Jia; Ting Liu 005 (CoRR, 2024)

DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models. - Xiaoxiao He; Ligong Han; Quan Dao; Song Wen 001; Minhao Bai; Di Liu 003; Han Zhang 010; Martin Renqiang Min; Felix Juefei-Xu; Chaowei Tan; Bo Liu 005; Kang Li 004; et al. (CoRR, 2024)

The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control. - Ruili Feng; Han Zhang 010; Zhantao Yang; Jie Xiao 002; Zhilei Shu; Zhiheng Liu; Andy Zheng; Yukun Huang; Yu Liu 063; Hongyang Zhang (CoRR, 2024)

ChatDiT: A Training-Free Baseline for Task-Agnostic Free-Form Chatting with Diffusion Transformers. - Lianghua Huang; Wei Wang 354; Zhi-Fan Wu; Yupeng Shi; Liang Chen; Tong Shen; Han Zhang 010; Huanzhang Dou; Yu Liu 063; Jingren Zhou 001 (CoRR, 2024)

BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs. - Zhantao Yang; Ruili Feng; Keyu Yan; Huangji Wang; Zhicai Wang; Shangwen Zhu; Han Zhang 010; Jie Xiao 002; Pingyu Wu; Kai Zhu 004; Jixuan Chen; Chen-Wei Xie; et al. (CVPR, 2025)

Accelerating Diffusion Sampling via Exploiting Local Transition Coherence. - Shangwen Zhu; Han Zhang 010; Zhantao Yang; Qianyu Peng; Zhao Pu; Huangji Wang; Fan Cheng 002 (CoRR, 2025)

HALO: Human-Aligned End-to-end Image Retargeting with Layered Transformations. - Yiran Xu; Siqi Xie; Zhuofang Li; Harris Shadmany; Yinxiao Li; Luciano Sbaiz; Miaosen Wang; Junjie Ke; José Lezama; Hang Qi; Han Zhang 010; Jesse Berent; et al. (CoRR, 2025)

Instability in Diffusion ODEs: An Explanation for Inaccurate Image Reconstruction. - Han Zhang 010; Jinghong Mao; Shangwen Zhu; Zhantao Yang; Lianghua Huang; Yu Liu 063; Deli Zhao; Ruili Feng; Fan Cheng 002 (CoRR, 2025)

DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model. - Han Zhang 010; Xiangde Luo; Yong Chen; Kang Li 004 (CoRR, 2025)

RAAG: Ratio Aware Adaptive Guidance. - Shangwen Zhu; Qianyu Peng; Yuting Hu; Zhantao Yang; Han Zhang 010; Zhao Pu; Ruili Feng; Fan Cheng 002 (CoRR, 2025)