Junkun Yuan   袁俊坤

Research Scientist,  Hunyuan Multimodal Generation Team  @  Tencent

yuanjk0921@outlook.com

work and live in Shenzhen, China

Last updated on July 06, 2025 at 23:05 (UTC+8)

Biography

I am a research scientist in Hunyuan Multimodal Generation Team at Tencent, working on multimodal generative foundation models and their applications.

I previously worked/interned in Hunyuan Multimodal Generation Team at Tencent (working with Wei Liu) during Sep 2023 — Jul 2025, and in Computer Vision Group at Baidu (working with Xinyu Zhang and Jingdong Wang) during Jul 2022 — Aug 2023.

I received my PhD degree from Zhejiang University in 2024, co-supervised by professors of Kun Kuang, Lanfen Lin, and Fei Wu.

Publications

Google Scholar Profile

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model

Hunyuan Multimodal Generation Team at Tencent (as a team member)

May 20, 2025   |   arXiv 2025   arXiv preprint

HunyuanVideo: A Systematic Framework For Large Video Generative Models

Hunyuan Multimodal Generation Team at Tencent (as a team member)

Dec 03, 2024   |   code   |   arXiv 2024   arXiv preprint

It is an open-sourced large-scale video generation model with 13B parameters. It has 200+ citations and 10K+ GitHub stars (as of June 2025).

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

Sep 02, 2024   |   code   |   AAAI 2025   AAAI Conference on Artificial Intelligence

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

Jun 04, 2024   |   code   |   SIGGRAPH-Asia 2024   ACM SIGGRAPH Annual Conference in Asia

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Hunyuan Multimodal Generation Team at Tencent (as an intern)

May 14, 2024   |   code   |   arXiv 2024   arXiv preprint

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, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, and Jingdong Wang

Oct 31, 2023   |   code   |   NeurIPS 2023   Advances in Neural Information Processing Systems

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

Oct 02, 2023   |   ICCV 2023   International Conference on Computer Vision

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

Jun 28, 2023   |   KDD 2024   ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization

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

May 25, 2023   |   code   |   KDD 2023   ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Universal Domain Adaptation via Compressive Attention Matching

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

Apr 24, 2023   |   ICCV 2023   International Conference on Computer Vision

Mutual Prompt Leaning for Vision Language Models

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

Mar 30, 2023   |   IJCV 2024   International Journal of Computer Vision

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

Mar 30, 2023   |   ICCV 2023   International Conference on Computer Vision

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

Nov 17, 2022   |   code   |   TMLR 2023   Transactions on Machine Learning Research

Label-Efficient Domain Generalization via Collaborative Exploration and Generalization

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

Aug 07, 2022   |   code   |   MM 2022   International Conference on Multimedia

Domain-Specific Bias Filtering for Single Labeled Domain Generalization

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

Oct 02, 2021   |   code   |   IJCV 2022   International Journal of Computer Vision

Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization

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

Oct 13, 2021   |   code   |   TKDE 2023   IEEE Transactions on Knowledge and Data Engineering