Junkun Yuan

According to our database, Junkun Yuan authored at least 30 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Lanfen Lin

IEEE Trans. Multim., 2024

HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Weijie Kong, Qi Tian, Zijian Zhang, Rox Min, Zuozhuo Dai, Jin Zhou, Jiangfeng Xiong, Xin Li, Bo Wu, Jianwei Zhang, Kathrina Wu, Qin Lin, Junkun Yuan, Yanxin Long, Aladdin Wang, Andong Wang, Changlin Li, Duojun Huang, Fang Yang, Hao Tan, Hongmei Wang, Jacob Song, Jiawang Bai, Jianbing Wu, Jinbao Xue, Joey Wang, Kai Wang, Mengyang Liu, Pengyu Li, Shuai Li, Weiyan Wang, Wenqing Yu, Xinchi Deng, Yang Li, Yi Chen, Yutao Cui, Yuanbo Peng, Zhentao Yu, Zhiyu He, Zhiyong Xu, Zixiang Zhou, Zunnan Xu, Yangyu Tao, Qinglin Lu, Songtao Liu, Daquan Zhou, Hongfa Wang, Yong Yang, Di Wang, Yuhong Liu, Jie Jiang, Caesar Zhong

CoRR, 2024

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, Wei Liu

CoRR, 2024

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, Qifeng Chen

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models.

Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data.

Qiaowei Miao, Junkun Yuan, Shengyu Zhang, Fei Wu, Kun Kuang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization.

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

IEEE Trans. Knowl. Data Eng., December, 2023

Learning Decomposed Representations for Treatment Effect Estimation.

Anpeng Wu, Junkun Yuan, Kun Kuang, Bo Li, Runze Wu, Qiang Zhu, Yueting Zhuang, Fei Wu

IEEE Trans. Knowl. Data Eng., May, 2023

CAE v2: Context Autoencoder with CLIP Latent Alignment.

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

Trans. Mach. Learn. Res., 2023

Instrumental Variable-Driven Domain Generalization with Unobserved Confounders.

Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang

ACM Trans. Knowl. Discov. Data, 2023

Domain-Specific Bias Filtering for Single Labeled Domain Generalization.

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

Int. J. Comput. Vis., 2023

Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance.

Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu

CoRR, 2023

Universal Domain Adaptation via Compressive Attention Matching.

Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu

CoRR, 2023

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

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

CoRR, 2023

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, Jingdong Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization.

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Universal Domain Adaptation via Compressive Attention Matching.

Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Task-Oriented Multi-Modal Mutual Learning for Vision-Language Models.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition.

Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin

ACM Trans. Knowl. Discov. Data, 2022

Attention-based cross-layer domain alignment for unsupervised domain adaptation.

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

Neurocomputing, 2022

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, Jingdong Wang

CoRR, 2022

Domain Generalization via Contrastive Causal Learning.

Qiaowei Miao, Junkun Yuan, Kun Kuang

CoRR, 2022

Label-Efficient Domain Generalization via Collaborative Exploration and Generalization.

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

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Subgraph Networks With Application to Structural Feature Space Expansion.

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

IEEE Trans. Knowl. Data Eng., 2021

Do We Need to Directly Access the Source Datasets for Domain Generalization?

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

CoRR, 2021

Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization.

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

CoRR, 2021

2020

Learning Decomposed Representation for Counterfactual Inference.

Anpeng Wu, Kun Kuang, Junkun Yuan, Bo Li, Pan Zhou, Jianrong Tao, Qiang Zhu, Yueting Zhuang, Fei Wu

CoRR, 2020

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

Junkun Yuan, Shaofang Zhou, Lanfen Lin, Feng Wang, Jia Cui

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

CNN-based DGA Detection with High Coverage.

Shaofang Zhou, Lanfen Lin, Junkun Yuan, Feng Wang, Zhaoting Ling, Jia Cui

Proceedings of the 2019 IEEE International Conference on Intelligence and Security Informatics, 2019