Kavli Affiliate: Biao Huang | Summary:In the era of Industry 4.0 and smart manufacturing, process systems engineering must adapt to digital transformation. While reinforcement learning offers a model-free approach to process control, its applications are limited by the dependence on accurate digital twins and well-designed reward functions. To address these limitations, this paper introduces a […]
Kavli Affiliate: Long Zhang | First 5 Authors: Yu Yao, Junhao Zhang, Pu Miao, Long Zhang, Gaojie Chen | Summary: Unlike the conventional fully-passive and fully-active reconfigurable intelligent surfaces (RISs), a hybrid RIS consisting of active and passive reflection units has recently been concerned, which can exploit their integrated advantages to alleviate the RIS-induced path […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Wensi Sun, Yanshuang Chen, Wencheng Ji, Yi Zhou, Hua Tong | Summary: Hierarchical dynamics in glass-forming systems span multiple timescales, from fast vibrations to slow structural rearrangements, appearing in both supercooled fluids and glassy states. Understanding how these diverse processes interact across timescales remains a central challenge. […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Zirui Li, Siwei Wu, Xingyu Wang, Yi Zhou, Yizhi Li | Summary: The rapid advancement of unsupervised representation learning and large-scale pre-trained vision-language models has significantly improved cross-modal retrieval tasks. However, existing multi-modal information retrieval (MMIR) studies lack a comprehensive exploration of document-level retrieval and suffer from […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Zirui Li, Siwei Wu, Xingyu Wang, Yi Zhou, Yizhi Li | Summary: The rapid advancement of unsupervised representation learning and large-scale pre-trained vision-language models has significantly improved cross-modal retrieval tasks. However, existing multi-modal information retrieval (MMIR) studies lack a comprehensive exploration of document-level retrieval and suffer from […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Zirui Li, Zirui Li, , , | Summary: The rapid advancement of unsupervised representation learning and large-scale pre-trained vision-language models has significantly improved cross-modal retrieval tasks. However, existing multi-modal information retrieval (MMIR) studies lack a comprehensive exploration of document-level retrieval and suffer from the absence of cross-domain […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Yihao Zhang, Sai Li, Albert Lee, Zheng Zhu, Lang Zeng | Summary: Physics-inspired computing paradigms, such as Ising machines, are emerging as promising hardware alternatives to traditional von Neumann architectures for tackling computationally intensive combinatorial optimization problems (COPs). While quantum, optical, and electronic devices have garnered significant […]
Kavli Affiliate: Long Zhang | First 5 Authors: Simeng Jin, Shuai Yao, Zhisheng Yang, Zixuan Du, Xiaobin Hong | Summary: Spontaneous Brillouin scattering (SpBS) provides a non-contact tool for probing the mechanical and thermodynamic properties of materials, enabling important applications such as distributed optical fiber sensing and high-resolution Brillouin microscopy. Achieving metrological precision in these […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Kai Zhang, Mengxian Lyu, Hongfang Liu, Lichao Sun | Summary: To advance biomedical vison-language model capabilities through scaling up, fine-tuning, and instruction tuning, develop vision-language models with improved performance in handling long text, explore strategies to efficiently adopt vision language models for diverse multi-modal biomedical […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Kai Zhang, Mengxian Lyu, Hongfang Liu, Lichao Sun | Summary: To advance biomedical vison-language model capabilities through scaling up, fine-tuning, and instruction tuning, develop vision-language models with improved performance in handling long text, explore strategies to efficiently adopt vision language models for diverse multi-modal biomedical […]