Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs

Kavli Affiliate: Xiang Zhang | Authors: Maolin Luo, Xiang Zhang | Summary: Clinical evidence encompasses the associations and impacts between patients, interventions (such as drugs or physiotherapy), problems, and outcomes. The goal of recommending clinical evidence is to provide medical practitioners with relevant information to support their decision-making processes and to generate new evidence. Our […]


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Action Pick-up in Dynamic Action Space Reinforcement Learning

Kavli Affiliate: Feng Wang | Authors: Jiaqi Ye, Xiaodong Li, Pangjing Wu, Feng Wang | Summary: Most reinforcement learning algorithms are based on a key assumption that Markov decision processes (MDPs) are stationary. However, non-stationary MDPs with dynamic action space are omnipresent in real-world scenarios. Yet problems of dynamic action space reinforcement learning have been […]


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A Hierarchical Multi-Vehicle Coordinated Motion Planning Method based on Interactive Spatio-Temporal Corridors

Kavli Affiliate: Xiang Zhang | Authors: Xiang Zhang, Boyang Wang, Yaomin Lu, Haiou Liu, Jianwei Gong, Huiyan Chen | Summary: Multi-vehicle coordinated motion planning has always been challenged to safely and efficiently resolve conflicts under non-holonomic dynamic constraints. Constructing spatial-temporal corridors for multi-vehicle can decouple the high-dimensional conflicts and further reduce the difficulty of obtaining […]


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Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Taoyue Wang, Xiaotian Li, Huiyuan Yang, Lijun Yin | Summary: Contrastive learning has shown promising potential for learning robust representations by utilizing unlabeled data. However, constructing effective positive-negative pairs for contrastive learning on facial behavior datasets remains challenging. This is because such pairs inevitably encode […]


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Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Taoyue Wang, Xiaotian Li, Huiyuan Yang, Lijun Yin | Summary: Contrastive learning has shown promising potential for learning robust representations by utilizing unlabeled data. However, constructing effective positive-negative pairs for contrastive learning on facial behavior datasets remains challenging. This is because such pairs inevitably encode […]


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Non-classical microwave-optical photon pair generation with a chip-scale transducer

Kavli Affiliate: Oskar Painter | First 5 Authors: Srujan Meesala, Steven Wood, David Lake, Piero Chiappina, Changchun Zhong | Summary: Modern computing and communication technologies such as supercomputers and the internet are based on optically connected networks of microwave frequency information processors. In recent years, an analogous architecture has emerged for quantum networks with optically […]


Continue.. Non-classical microwave-optical photon pair generation with a chip-scale transducer

Non-classical microwave-optical photon pair generation with a chip-scale transducer

Kavli Affiliate: Oskar Painter | First 5 Authors: Srujan Meesala, Steven Wood, David Lake, Piero Chiappina, Changchun Zhong | Summary: Modern computing and communication technologies such as supercomputers and the internet are based on optically connected networks of microwave frequency information processors. In recent years, an analogous architecture has emerged for quantum networks with optically […]


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Designing transparent conductors using forbidden optical transitions

Kavli Affiliate: Kristin A. Persson | Authors: Rachel Woods-Robinson, Yihuang Xiong, Jimmy-Xuan Shen, Nicholas Winner, Matthew K. Horton, Mark Asta, Alex M. Ganose, Geoffroy Hautier, Kristin A. Persson | Summary: Many semiconductors present weak or forbidden transitions at their fundamental band gaps, inducing a widened region of transparency. This occurs in high-performing n-type transparent conductors […]


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