Junkun Yuan   袁俊坤

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model

Hunyuan Multimodal Model Group at Tencent (as a group member)

arXiv 2025

May 20, 2025   |   Hunyuan-Game

paper   |   code

HunyuanVideo: A Systematic Framework For Large Video Generative Models

Hunyuan Multimodal Model Group at Tencent (as a group member)

arXiv 2024

Dec 03, 2024   |   HunyuanVideo

paper   |   code

It is an open-source large-scale video generation model with 13B parameters. It has over 300 citations and over 11,000 GitHub stars (as of Sep 2025).

Mutual Prompt Learning for Vision Language Models

Sifan Long^✳, Zhen Zhao^✳, Junkun Yuan^✳, Zichang Tan^✳, Jiangjiang Liu, Jingyuan Feng, Shengsheng Wang^✉, and Jingdong Wang

International Journal of Computer Vision (IJCV), 2024

Sep 26, 2024   |   MPL

paper

Follow-Your-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation

Qihua Chen^✳, Yue Ma^✳, Hongfa Wang^✳, Junkun Yuan^✳✉, Wenzhe Zhao, Qi Tian, Hongmei Wang, Shaobo Min, Qifeng Chen^✉, and Wei Liu

AAAI Conference on Artificial Intelligence (AAAI), 2025

Sep 02, 2024   |   Follow-Your-Canvas

paper   |   code

Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation

Yue Ma^✳, Hongyu Liu^✳, Hongfa Wang^✳, Heng Pan^✳, Yingqing He, Junkun Yuan, Ailing Zeng, Chengfei Cai, Heung-Yeung Shum, Wei Liu^✉, and Qifeng Chen^✉

ACM SIGGRAPH Annual Conference in Asia (SIGGRAPH-Asia), 2024

Jun 04, 2024   |   Follow-Your-Emoji

paper   |   code

Domaindiff: Boost Out-of-Distribution Generalization with Synthetic Data

Qiaowei Miao, Junkun Yuan, Shengyu Zhang, Fei Wu, and Kun Kuang^✉

International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

Apr 14, 2024   |   Domaindiff

paper

Knowledge Distillation-Based Domain-Invariant Representation Learning for Domain Generalization

Ziwei Niu, Junkun Yuan, Xu Ma, Yingying Xu, Jing Liu, Yen-Wei Chen, Ruofeng Tong, and Lanfen Lin^✉

IEEE Transactions on Multimedia (TMM), 2023

Jan 01, 2024   |   KDDRL

paper

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception

Junkun Yuan^✳, Xinyu Zhang^✳✉, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, and Kun Kuang^✉, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, and Jingdong Wang^✉

Advances in Neural Information Processing Systems (NeurIPS), 2023

Oct 31, 2023   |   HAP

paper   |   code

MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters

Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, and Kun Kuang^✉

International Conference on Computer Vision (ICCV), 2023

Oct 02, 2023   |   MAP

paper   |   code

Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models

Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Yunfeng Shao, Jiashuo Liu, Kun Kuang^✉, Yinchuan Li, and Chao Wu

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024

Jun 28, 2023   |   NPT

paper

Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization

Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, and Kun Kuang^✉

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023

May 25, 2023   |   HTCL

paper   |   code

Universal Domain Adaptation via Compressive Attention Matching

Didi Zhu^✳, Yincuan Li^✳, Junkun Yuan, Zexi Li, Kun Kuang, and Chao Wu^✉

International Conference on Computer Vision (ICCV), 2023

Apr 24, 2023   |   CAM

paper

Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models

Sifan Long^✳, Zhen Zhao^✳, Junkun Yuan^✳, Zichang Tan, Jiangjiang Liu, Luping Zhou, Shengsheng Wang^✉, and Jingdong Wang^✉

International Conference on Computer Vision (ICCV), 2023

Mar 30, 2023   |   MPL

paper

CAE v2: Context Autoencoder with CLIP Target

Xinyu Zhang^✳, Jiahui Chen^✳, Junkun Yuan, Qiang Chen, Jian Wang, Xiaodi Wang, Shumin Han, Xiaokang Chen, Jimin Pi, Kun Yao, Junyu Han, Errui Ding, and Jingdong Wang^✉

Transactions on Machine Learning Research (TMLR), 2023

Nov 17, 2022   |   CAE v2

paper   |   code

Label-Efficient Domain Generalization via Collaborative Exploration and Generalization

Junkun Yuan^✳, Xu Ma^✳, Defang Chen, Kun Kuang^✉, Fei Wu, and Lanfen Lin

International Conference on Multimedia (MM), 2022

Aug 07, 2022   |   CEG

paper   |   code

Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation

Xu Ma, Junkun Yuan, Yen-Wei Chen, Ruofeng Tong, and Lanfen Lin^✉

Neurocomputing 2022

Feb 27, 2022   |   ACDA

paper

Domain-Specific Bias Filtering for Single Labeled Domain Generalization

Junkun Yuan^✳, Xu Ma^✳, Defang Chen, Kun Kuang^✉, Fei Wu, and Lanfen Lin

International Journal of Computer Vision (IJCV), 2022

Oct 02, 2021   |   DSBF

paper   |   code

Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization

Junkun Yuan^✳, Xu Ma^✳, Defang Chen, Fei Wu, Lanfen Lin, and Kun Kuang^✉

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023

Oct 13, 2021   |   CSAC

paper   |   code

Instrumental Variable-Driven Domain Generalization with Unobserved Confounders

Junkun Yuan, Xu Ma, Kun Kuang^✉, Ruoxuan Xiong, Mingming Gong, and Lanfen Lin

ACM Transactions on Knowledge Discovery from Data (TKDD), 2023

Oct 04, 2021   |   DSBF

paper   |   code

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition

Junkun Yuan^✳, Anpeng Wu^✳, Kun Kuang^✉, Bo Li, Runze Wu, Fei Wu, and Lanfen Lin

ACM Transactions on Knowledge Discovery from Data (TKDD), 2022

Jul 13, 2021   |   AutoIV

paper   |   code

Black-Box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GAN

Junkun Yuan, Shaofang Zhou, Lanfen Lin^✉, Feng Wang, and Jia Cui

European Conference on Artificial Intelligence (ECAI), 2020

Aug 29, 2020   |   GAPGAN

paper

Learning Decomposed Representation for Counterfactual Inference

Anpeng Wu^✳, Junkun Yuan^✳, Kun Kuang^✉, Bo Li^✉, Runze Wu, Qiang Zhu, Yueting Zhuang, and Fei Wu

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023

Jun 12, 2020   |   DeR-CFR

paper   |   code

Subgraph Networks with Application to Structural Feature Space Expansion

Qi Xuan^✉, Jinhuan Wang, Minghao Zhao, Junkun Yuan, Chenbo Fu, Zhongyuan Ruan^✉, Guanrong Chen

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021

Mar 21, 2019   |   SGNs

paper   |   code