For a full list of publications, please visit my Google Scholar
​Journals and Book Chapters
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Yuecong Xu, Haozhi Cao, Lihua Xie, Xiao-Li Li, Zhenghua Chen, Jianfei Yang
ACM Computing Surveys, 2024 (IF=23.8, Rank 1/143 in Computer Science Theory and Methods)
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SEA++: Multi-Graph-based Higher-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation [IEEEXplore]
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu; Xiaoli Li; Lihua Xie; Zhenghua Chen
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 (IF=20.8, CCF-A)
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ARID: A New Dataset for Recognizing Action in the Dark [arXiv] [Springer] [Project and Dataset​]
Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See
in International Workshop on Deep Learning for Human Activity Recognition, Springer, 2021
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Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment [arXiv] [Project and Dataset] [IEEEXplore]
Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhengguo Li, Zhenghua Chen
IEEE Transactions on Circuits and Systems for Video Technology, 2023 (IF=5.859)
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Aligning Correlation Information for Domain Adaptation in Action Recognition [arXiv] [Project and Data] [IEEEXplore]
Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See
IEEE Transactions on Neural Networks and Learning Systems, 2022 (IF=14.255)
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Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation [arXiv] [OpenReview]
Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
Transactions on Machine Learning Research, 2024
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Self-Supervised Video Representation Learning by Video Incoherence Detection [arXiv] [IEEEXplore]
Haozhi Cao, Yuecong Xu*, Kezhi Mao, Lihua Xie, Jianxiong Yin, Simon See, Qianwen Xu, Jianfei Yang
IEEE Transactions on Cybernetics, 2023 (IF=19.119)
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Reinforced Reweighting for Self-supervised Partial Domain Adaptation [IEEEXplore]
Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen
IEEE Transactions on Artificial Intelligence, 2024
Haozhi Cao, Yuecong Xu*, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
Pattern Recognition, Elsevier, 2021 (IF=8.518)
Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
Expert Systems with Applications, Elsevier, 2021 (IF=8.665)​​​​
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Conferences
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Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Xingyu Ji, Shenghai Yuan, Lihua Xie
European Conference on Computer Vision (ECCV) 2024
Junqiao Fan, Jianfei Yang, Yuecong Xu, Lihua Xie
European Conference on Computer Vision (ECCV) 2024
Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Shenghai Yuan, Lihua Xie
International Conference on Robotics and Automation (ICRA) 2024
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MM-Fi: Multi-Modal Non-Intrusive 4d Human Dataset for Versatile Wireless Sensing [NeurIPS] [Project] [Toolbox]
Jianfei Yang, He Huang, Yunjiao Zhou, Xinyan Chen, Yuecong Xu, Shenghai Yuan, Han Zou, Chris Xiaoxuan Lu, Lihua Xie
Conference on Neural Information Processing Systems (NeurIPS) 2023 Datasets and Benchmarks Track
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Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation [arXiv] [OpenAccess] [Project]
Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li
International Conference on Computer Vision (ICCV) 2023
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Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition [Project] [Github] [ECVA]
Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen
European Conference on Computer Vision (ECCV) 2022
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Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation [arXiv] [ACM]
Xiyu Wang, Yuecong Xu*, Kezhi Mao, Jianfei Yang
ACM Multimedia (ACM MM) 2022
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Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network [OpenAccess] [Project and DB] [Code]
Yuecong Xu, Jianfei Yang, Haozhi Cao, Zhenghua Chen, Qi Li, Kezhi Mao
International Conference on Computer Vision (ICCV) 2021 (Oral Presentation, Top 3.4%)
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Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation [arXiv] [OpenAccess] [Project]
Haozhi Cao, Yuecong Xu*, Jianfei Yang, Pengyu Yin, Shenghai Yuan, Lihua Xie
International Conference on Computer Vision (ICCV) 2023​​
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Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data [arXiv]
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
The AAAI Conference on Artificial Intelligence (AAAI) 2024
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Graph-Aware Contrasting for Multivariate Time-Series Classification [arXiv]
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
The AAAI Conference on Artificial Intelligence (AAAI) 2024
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SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation [AAAI]
Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie
The AAAI Conference on Artificial Intelligence (AAAI) 2023
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Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation [AAAI]
Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li
The AAAI Conference on Artificial Intelligence (AAAI) 2022​
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* denotes corresponding author/co-first author