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2025 Journal Article From Small to Large: In-Context Learning as a New Paradigm for Domain GeneralizationZhou, Guanglin, Han, Zhongyi, Xie, Shaoan, Chen, Shiming, Huang, Biwei, Zhu, Liming, Gao, Xin, Yao, Lina and Khan, Salman (2025). From Small to Large: In-Context Learning as a New Paradigm for Domain Generalization. International Journal of Computer Vision, 134 (1) 9, 1. doi: 10.1007/s11263-025-02618-w |
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2025 Journal Article Emerging synergies in causality and deep generative models: a surveyZhou, Guanglin, Xie, Shaoan, Hao, Guang-Yuan, Chen, Shiming, Huang, Biwei, Xu, Xiwei, Wang, Chen, Zhu, Liming, Yao, Lina and Zhang, Kun (2025). Emerging synergies in causality and deep generative models: a survey. IEEE Transactions on Artificial Intelligence, 1-18. doi: 10.1109/tai.2025.3646958 |
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2024 Journal Article HCVP: leveraging hierarchical contrastive visual prompt for domain generalizationZhou, Guanglin, Han, Zhongyi, Chen, Shiming, Huang, Biwei, Zhu, Liming, Liu, Tongliang, Yao, Lina and Zhang, Kun (2024). HCVP: leveraging hierarchical contrastive visual prompt for domain generalization. IEEE Transactions on Multimedia, 27, 1142-1152. doi: 10.1109/TMM.2024.3521719 |
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2023 Journal Article Deep reinforcement learning in recommender systems: a survey and new perspectivesChen, Xiaocong, Yao, Lina, McAuley, Julian, Zhou, Guanglin and Wang, Xianzhi (2023). Deep reinforcement learning in recommender systems: a survey and new perspectives. Knowledge-Based Systems, 264 110335. doi: 10.1016/j.knosys.2023.110335 |
