Junkun Yuan

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All published works

Action	Title	Year	Authors
+	Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation	2024	Yue Ma Hongyu Liu Hongfa Wang Hongjian Pan Yingqing He Junkun Yuan Ailing Zeng Chengfei Cai Heung‐Yeung Shum Wei Liu
+ PDF Chat	Universal Domain Adaptation via Compressive Attention Matching	2023	Didi Zhu Yinchuan Li Junkun Yuan Zexi Li Kun Kuang Chao Wu
+	Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization	2023	Yunze Tong Junkun Yuan Min Zhang Didi Zhu Keli Zhang Fei Wu Kun Kuang
+ PDF Chat	Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization	2023	Junkun Yuan Xu Ma Defang Chen Fei Wu Lanfen Lin Kun Kuang
+	Instrumental Variable-Driven Domain Generalization with Unobserved Confounders	2023	Junkun Yuan Xu Ma Ruoxuan Xiong Mingming Gong Xiangyu Liu Fei Wu Lanfen Lin Kun Kuang
+	Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models	2023	Sifan Long Zhen Zhao Junkun Yuan Zichang Tan Jiangjiang Liu Luping Zhou Shengsheng Wang Jingdong Wang
+	Universal Domain Adaptation via Compressive Attention Matching	2023	Didi Zhu Yincuan Li Junkun Yuan Zexi Li Yunfeng Shao Kun Kuang Chao Wu
+	Understanding Prompt Tuning for V-L Models Through the Lens of Neural Collapse	2023	Didi Zhu Yinchuan Li Min Zhang Junkun Yuan Jiashuo Liu Zexi Li Kun Kuang Chao Wu
+	Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization	2023	Yunze Tong Junkun Yuan Min Zhang Didi Zhu Keli Zhang Fei Wu Kun Kuang
+	HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception	2023	Junkun Yuan Xinyu Zhang Hao Zhou Jian Wang Zhongwei Qiu Zhiyin Shao Shaofeng Zhang Sifan Long Kun Kuang Kun Yao
+ PDF Chat	Domain-Specific Bias Filtering for Single Labeled Domain Generalization	2022	Junkun Yuan Xu Ma Defang Chen Kun Kuang Fei Wu Lanfen Lin
+ PDF Chat	Label-Efficient Domain Generalization via Collaborative Exploration and Generalization	2022	Junkun Yuan Xu Ma Defang Chen Kun Kuang Fei Wu Lanfen Lin
+ PDF Chat	Attention-based cross-layer domain alignment for unsupervised domain adaptation	2022	Xu Ma Junkun Yuan Yen‐Wei Chen Ruofeng Tong Lanfen Lin
+ PDF Chat	Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition	2022	Junkun Yuan Anpeng Wu Kun Kuang Bo Li Runze Wu Fei Wu Lanfen Lin
+	Learning Decomposed Representations for Treatment Effect Estimation	2022	Anpeng Wu Junkun Yuan Kun Kuang Bo Li Runze Wu Qiang Zhu Yue Ting Zhuang Fei Wu
+	Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation	2022	Xu Ma Junkun Yuan Yen‐Wei Chen Ruofeng Tong Lanfen Lin
+	Label-Efficient Domain Generalization via Collaborative Exploration and Generalization	2022	Junkun Yuan Xu Ma Defang Chen Kun Kuang Fei Wu Lanfen Lin
+	Domain Generalization via Contrastive Causal Learning	2022	Qiaowei Miao Junkun Yuan Kun Kuang
+	CAE v2: Context Autoencoder with CLIP Target	2022	Xinyu Zhang Jiahui Chen Junkun Yuan Qiang Chen Jian Wang Xiaodi Wang Shumin Han Xiaokang Chen Jimin Pi Kun Yao
+	Do We Need to Directly Access the Source Datasets for Domain Generalization	2021	Junkun Yuan Xu Ma Defang Chen Kun Kuang Fei Wu Lanfen Lin
+	Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization.	2021	Junkun Yuan Xu Ma Kun Kuang Ruoxuan Xiong Mingming Gong Lanfen Lin
+	Domain-Specific Bias Filtering for Single Labeled Domain Generalization	2021	Junkun Yuan Xu Ma Defang Chen Kun Kuang Fei Wu Lanfen Lin
+	Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization	2021	Junkun Yuan Xu Ma Defang Chen Kun Kuang Fei Wu Lanfen Lin
+	Instrumental Variable-Driven Domain Generalization with Unobserved Confounders	2021	Junkun Yuan Xu Ma Ruoxuan Xiong Mingming Gong Xiangyu Liu Fei Wu Lanfen Lin Kun Kuang
+	Learning Decomposed Representation for Counterfactual Inference	2020	Anpeng Wu Kun Kuang Junkun Yuan Bo Li Pan Zhou Jianrong Tao Qiang Zhu Yueting Zhuang Fei Wu
+ PDF Chat	Subgraph Networks With Application to Structural Feature Space Expansion	2019	Qi Xuan Jinhuan Wang Minghao Zhao Junkun Yuan Chenbo Fu Zhongyuan Ruan Guanrong Chen

Common Coauthors

Coauthor	Papers Together
Kun Kuang	18
Lanfen Lin	14
Fei Wu	13
Xu Ma	10
Defang Chen	7
Didi Zhu	5
Mingming Gong	3
Jingdong Wang	3
Zexi Li	3
Ruoxuan Xiong	3
Anpeng Wu	3
Errui Ding	2
Sifan Long	2
Kun Kuang	2
Keli Zhang	2
Ruofeng Tong	2
Yinchuan Li	2
Yunze Tong	2
Xiangyu Liu	2
Yen‐Wei Chen	2
Xu Ma	2
Chengfei Cai	1
Chao Wu	1
Jiangjiang Liu	1
Qiang Zhu	1
Heung‐Yeung Shum	1
Shaofeng Zhang	1
Runze Wu	1
Hongfa Wang	1
Zhen Zhao	1
Chao Wu	1
Ailing Zeng	1
Hongjian Pan	1
Junyu Han	1
Zhongyuan Ruan	1
Shengsheng Wang	1
Qiang Zhu	1
Jian Wang	1
Bo Li	1
Bo Li	1
Jiahui Chen	1
Xinyu Zhang	1
Xinyu Zhang	1
Hao Zhou	1
Min Zhang	1
Wei Liu	1
Qiang Chen	1
Bo Li	1
Luping Zhou	1
Yue Ma	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	11
+ PDF Chat	Deep Hashing Network for Unsupervised Domain Adaptation	2017	Hemanth Venkateswara José Eusébio Shayok Chakraborty Sethuraman Panchanathan	10
+ PDF Chat	Deeper, Broader and Artier Domain Generalization	2017	Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales	9
+ PDF Chat	Learning to Generalize: Meta-Learning for Domain Generalization	2018	Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales	7
+ PDF Chat	Episodic Training for Domain Generalization	2019	Da Li Jianshu Zhang Yongxin Yang Cong Liu Yi-Zhe Song Timothy M. Hospedales	6
+ PDF Chat	Domain Generalization Using a Mixture of Multiple Latent Domains	2020	Toshihiko Matsuura Tatsuya Harada	6
+ PDF Chat	Deep Domain-Adversarial Image Generation for Domain Generalisation	2020	Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang	6
+ PDF Chat	Domain-Specific Bias Filtering for Single Labeled Domain Generalization	2022	Junkun Yuan Xu Ma Defang Chen Kun Kuang Fei Wu Lanfen Lin	6
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	6
+ PDF Chat	Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization	2020	Shujun Wang Lequan Yu Caizi Li Chi‐Wing Fu Pheng‐Ann Heng	6
+ PDF Chat	Self-challenging Improves Cross-Domain Generalization	2020	Zeyi Huang Haohan Wang Eric P. Xing Dong Huang	6
+ PDF Chat	Learning to Learn Single Domain Generalization	2020	Fengchun Qiao L. Zhao Xi Peng	6
+ PDF Chat	Dual Attention Network for Scene Segmentation	2019	Jun Fu Jing Liu Haijie Tian Yong Li Yongjun Bao Zhiwei Fang Hanqing Lu	5
+ PDF Chat	Learning to Balance Specificity and Invariance for In and Out of Domain Generalization	2020	Prithvijit Chattopadhyay Yogesh Balaji Judy Hoffman	5
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	5
+	Domain Generalization via Model-Agnostic Learning of Semantic Features	2019	Qi Dou Daniel C. Castro Konstantinos Kamnitsas Ben Glocker	5
+ PDF Chat	Learning to Generate Novel Domains for Domain Generalization	2020	Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang	5
+ PDF Chat	Moment Matching for Multi-Source Domain Adaptation	2019	Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang	5
+ PDF Chat	Attention-based cross-layer domain alignment for unsupervised domain adaptation	2022	Xu Ma Junkun Yuan Yen‐Wei Chen Ruofeng Tong Lanfen Lin	4
+ PDF Chat	Learning to Optimize Domain Specific Normalization for Domain Generalization	2020	Seonguk Seo Yumin Suh Dong-Wan Kim Geeho Kim Jong‐Woo Han Bohyung Han	4
+ PDF Chat	Label-Efficient Domain Generalization via Collaborative Exploration and Generalization	2022	Junkun Yuan Xu Ma Defang Chen Kun Kuang Fei Wu Lanfen Lin	4
+ PDF Chat	Residual Attention Network for Image Classification	2017	Fei Wang Mengqing Jiang Chen Qian Shuo Yang Cheng Li Honggang Zhang Xiaogang Wang Xiaoou Tang	4
+ PDF Chat	DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization	2023	Zheqi Lv Wenqiao Zhang Shengyu Zhang Kun Kuang Feng Wang Yongwei Wang Zhengyu Chen Tao Shen Hongxia Yang Beng Chin Ooi	4
+	Domain Generalization with MixStyle	2021	Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang	4
+	Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation	2020	Jian Liang Dapeng Hu Jiashi Feng	4
+ PDF Chat	Maximum Classifier Discrepancy for Unsupervised Domain Adaptation	2018	Kuniaki Saito Kohei Watanabe Yoshitaka Ushiku Tatsuya Harada	4
+ PDF Chat	Domain Generalization for Object Recognition with Multi-task Autoencoders	2015	Muhammad Ghifary W. Bastiaan Kleijn Mengjie Zhang David Balduzzi	4
+	Self-Attention Generative Adversarial Networks	2018	Han Zhang Ian Goodfellow Dimitris Metaxas Augustus Odena	4
+ PDF Chat	A Fourier-based Framework for Domain Generalization	2021	Qinwei Xu Ruipeng Zhang Ya Zhang Yanfeng Wang Qi Tian	4
+	Deep Transfer Learning with Joint Adaptation Networks	2016	Mingsheng Long Zhu Han Jianmin Wang Michael I. Jordan	4
+	Causal Inference	2020	Kun Kuang Lian Li Zhi Geng Lei Xu Kun Zhang Beishui Liao Huaxin Huang Peng Ding Wang Miao Zhichao Jiang	3
+	Learning Decomposed Representations for Treatment Effect Estimation	2022	Anpeng Wu Junkun Yuan Kun Kuang Bo Li Runze Wu Qiang Zhu Yue Ting Zhuang Fei Wu	3
+	Feature-Critic Networks for Heterogeneous Domain Generalization	2019	Yiying Li Yongxin Yang Wei Zhou Timothy M. Hospedales	3
+ PDF Chat	Domain Generalization by Solving Jigsaw Puzzles	2019	Fabio Maria Carlucci Antonio D’Innocente Silvia Bucci Barbara Caputo Tatiana Tommasi	3
+	CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information	2020	Pengyu Cheng Weituo Hao Shuyang Dai Jiachang Liu Zhe Gan Lawrence Carin	3
+	When Does Label Smoothing Help?	2019	Rafael Müller Simon Kornblith Geoffrey E. Hinton	3
+ PDF Chat	FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space	2021	Quande Liu Cheng Chen Jing Qin Qi Dou Pheng‐Ann Heng	3
+	Unsupervised Domain Adaptation with Residual Transfer Networks	2016	Mingsheng Long Zhu Han Jianmin Wang Michael I. Jordan	3
+	Treatment Effect Estimation via Differentiated Confounder Balancing and Regression	2019	Kun Kuang Peng Cui Bo Li Meng Jiang Yashen Wang Fei Wu Shiqiang Yang	3
+ PDF Chat	Interpreting CNNs via Decision Trees	2019	Quanshi Zhang Yu Yang Haotian Ma Ying Wu	3
+	Instrumental Variable Estimation of Nonparametric Models	2003	Whitney K. Newey James L. Powell	3
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	3
+	Learning Transferable Features with Deep Adaptation Networks	2015	Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan	2
+ PDF Chat	The central role of the propensity score in observational studies for causal effects	1983	Paul R. Rosenbaum Donald B. Rubin	2
+	An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies	2011	Peter C. Austin	2
+ PDF Chat	Causal inference in statistics: An overview	2009	Judea Pearl	2
+	Model-Based Direct Adjustment	1987	Paul R. Rosenbaum	2
+ PDF Chat	DLOW: Domain Flow for Adaptation and Generalization	2019	Rui Gong Wen Li Yuhua Chen Luc Van Gool	2
+ PDF Chat	A New Criterion for Confounder Selection	2011	Tyler J. VanderWeele Ilya Shpitser	2
+	Doubly Robust Estimation in Missing Data and Causal Inference Models	2005	Heejung Bang James M. Robins	2