Junkun Yuan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 35

Top Topics

Target Variable

Domain Independent

Top Venues

IEEE Trans. Knowl. Data Eng.

ACM Trans. Knowl. Discov. Data

Publications

Qiaowei Miao, Junkun Yuan, Shengyu Zhang, Fei Wu, Kun Kuang
Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data. ICASSP (2024)
Yue Ma, Hongyu Liu, Hongfa Wang, Heng Pan, Yingqing He, Junkun Yuan, Ailing Zeng, Chengfei Cai, Heung-Yeung Shum, Wei Liu, Qifeng Chen
Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation. CoRR (2024)
Ziwei Niu, Junkun Yuan, Xu Ma, Yingying Xu, Jing Liu, Yen-Wei Chen, Ruofeng Tong, Lanfen Lin
Knowledge Distillation-Based Domain-Invariant Representation Learning for Domain Generalization. IEEE Trans. Multim. 26 (2024)
Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu
Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. KDD (2024)
Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. ACM Trans. Knowl. Discov. Data 17 (8) (2023)
Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters. ICCV (2023)
Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu
Universal Domain Adaptation via Compressive Attention Matching. ICCV (2023)
Sifan Long, Zhen Zhao, Junkun Yuan, Zichang Tan, Jiangjiang Liu, Luping Zhou, Shengsheng Wang, Jingdong Wang
Task-Oriented Multi-Modal Mutual Learning for Vision-Language Models. ICCV (2023)
Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu
Universal Domain Adaptation via Compressive Attention Matching. CoRR (2023)
Junkun Yuan, Xu Ma, Defang Chen, Fei Wu, Lanfen Lin, Kun Kuang
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. KDD (2023)
Sifan Long, Zhen Zhao, Junkun Yuan, Zichang Tan, Jiangjiang Liu, Luping Zhou, Shengsheng Wang, Jingdong Wang
Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models. CoRR (2023)
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
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. NeurIPS (2023)
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
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. CoRR (2023)
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
Domain-Specific Bias Filtering for Single Labeled Domain Generalization. Int. J. Comput. Vis. 131 (2) (2023)
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
CAE v2: Context Autoencoder with CLIP Latent Alignment. Trans. Mach. Learn. Res. 2023 (2023)
Anpeng Wu, Junkun Yuan, Kun Kuang, Bo Li, Runze Wu, Qiang Zhu, Yueting Zhuang, Fei Wu
Learning Decomposed Representations for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu
Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. CoRR (2023)
Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. CoRR (2023)
Xu Ma, Junkun Yuan, Yen-Wei Chen, Ruofeng Tong, Lanfen Lin
Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation. CoRR (2022)
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. CoRR (2022)
Xu Ma, Junkun Yuan, Yen-Wei Chen, Ruofeng Tong, Lanfen Lin
Attention-based cross-layer domain alignment for unsupervised domain adaptation. Neurocomputing 499 (2022)
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. ACM Multimedia (2022)
Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. ACM Trans. Knowl. Discov. Data 16 (4) (2022)
Qiaowei Miao, Junkun Yuan, Kun Kuang
Domain Generalization via Contrastive Causal Learning. CoRR (2022)
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
CAE v2: Context Autoencoder with CLIP Target. CoRR (2022)
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
Do We Need to Directly Access the Source Datasets for Domain Generalization? CoRR (2021)
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
Domain-Specific Bias Filtering for Single Labeled Domain Generalization. CoRR (2021)
Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. CoRR (2021)
Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin
Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization. CoRR (2021)
Qi Xuan, Jinhuan Wang, Minghao Zhao, Junkun Yuan, Chenbo Fu, Zhongyuan Ruan, Guanrong Chen
Subgraph Networks With Application to Structural Feature Space Expansion. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Anpeng Wu, Kun Kuang, Junkun Yuan, Bo Li, Pan Zhou, Jianrong Tao, Qiang Zhu, Yueting Zhuang, Fei Wu
Learning Decomposed Representation for Counterfactual Inference. CoRR (2020)
Junkun Yuan, Shaofang Zhou, Lanfen Lin, Feng Wang, Jia Cui
Black-Box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GAN. ECAI (2020)
Qi Xuan, Jinhuan Wang, Minghao Zhao, Junkun Yuan, Chenbo Fu, Zhongyuan Ruan, Guanrong Chen
Subgraph Networks with Application to Structural Feature Space Expansion. CoRR (2019)
Shaofang Zhou, Lanfen Lin, Junkun Yuan, Feng Wang, Zhaoting Ling, Jia Cui
CNN-based DGA Detection with High Coverage. ISI (2019)