Junkun Yuan 袁俊坤Research Scientist, Hunyuan Multimodal Model Group @ Tencent yuanjk0921@outlook.com work and live in Shenzhen, China Last updated on September 06, 2025 at 12:44 (UTC+8) I am currently on the job market and welcome potential opportunities. Please feel free to reach out to me. |
|
Biography
I have been working as a research scientist in the Foundation Model Team of the Hunyuan Multimodal Model Group at Tencent since Jul 2024, working with Zhao Zhong and Liefeng Bo. I am focusing on multimodal generative foundation models and their various downstream applications.
During Sep 2023 — Jul 2024, I interned in the Hunyuan Multimodal Model Group at Tencent, working with Wei Liu.
During Jul 2022 — Aug 2023, I interned in the Computer Vision Group at Baidu, working with Xinyu Zhang and Jingdong Wang.
I received my Ph.D. degree in Computer Science from Zhejiang University (2019 — 2024), co-supervised by professors of Kun Kuang, Lanfen Lin, and
Fei Wu. I received my B.S. degree in Automation from Zhejiang University of Technology (2015 — 2019), co-supervised by professors of Qi Xuan and Li Yu.
I have been fortunate to work closely with some friends such as Defang Chen and Yue Ma, their insights also profoundly shape my approach to research.
Publications
Hunyuan-Game: Industrial-grade Intelligent Game Creation Model
Hunyuan Multimodal Model Group at Tencent (as a group member)
arXiv preprint (arXiv), 2025
May 20, 2025 | Hunyuan-Game
HunyuanVideo: A Systematic Framework For Large Video Generative Models
Hunyuan Multimodal Model Group at Tencent (as a group member)
arXiv preprint (arXiv), 2024
Dec 03, 2024 | HunyuanVideo
It is an open-source large-scale video generation model with 13B parameters. It has over 300 citations and over 10,000 GitHub stars (as of Aug 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
AAAI Conference on Artificial Intelligence (AAAI), 2025
Sep 02, 2024 | Follow-Your-Canvas
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
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
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
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
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
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
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
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
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
Mar 30, 2023 | MPL
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
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
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
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
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
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
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
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
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
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
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
Professional Service
- Conference Reviewer. CVPR 2021 | ICCV 2023 | AAAI 2023, 2026 | MM 2023
- Journal Reviewer. TNNLS 2022 | TCSVT 2023 | PR 2026 | NN 2023 | TKDD 2023