TRIE++: Towards End-to-End Information Extraction from Visually Rich Documents

Kavli Affiliate: Cheng Peng | First 5 Authors: Zhanzhan Cheng, Peng Zhang, Can Li, Qiao Liang, Yunlu Xu | Summary: Recently, automatically extracting information from visually rich documents (e.g., tickets and resumes) has become a hot and vital research topic due to its widespread commercial value. Most existing methods divide this task into two subparts: […]


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Shape dependence of mutual information in the OPE limit: linear responses

Kavli Affiliate: Huajia Wang | First 5 Authors: Liangyu Chen, Huajia Wang, , , | Summary: Mutual information serves as an important measure of correlation between subsystem components. In the framework of quantum field theories (QFTs) they have better regulated UV behavior than entanglement entropy, and thus provide more direct access to universal aspects of […]


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Two-stage superconductivity in the Hatsugai-Kohomoto-BCS model

Kavli Affiliate: Yi Zhou | First 5 Authors: Yu Li, Vivek Mishra, Yi Zhou, Fu-Chun Zhang, | Summary: Superconductivity in strongly correlated electrons can emerge out from a normal state that is beyond the Landau’s Fermi liquid paradigm, often dubbed as "non-Fermi liquid". While the theory for non-Fermi liquid is still not yet conclusive, a […]


Continue.. Two-stage superconductivity in the Hatsugai-Kohomoto-BCS model

Two-stage superconductivity in the Hatsugai-Kohmoto-BCS model

Kavli Affiliate: Yi Zhou | First 5 Authors: Yu Li, Vivek Mishra, Yi Zhou, Fu-Chun Zhang, | Summary: Superconductivity in strongly correlated electrons can emerge out from a normal state that is beyond the Landau’s Fermi liquid paradigm, often dubbed as "non-Fermi liquid". While the theory for non-Fermi liquid is still not yet conclusive, a […]


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A Generalized Probabilistic Monitoring Model with Both Random and Sequential Data

Kavli Affiliate: Biao Huang | First 5 Authors: Wanke Yu, Min Wu, Biao Huang, Chengda Lu, | Summary: Many multivariate statistical analysis methods and their corresponding probabilistic counterparts have been adopted to develop process monitoring models in recent decades. However, the insightful connections between them have rarely been studied. In this study, a generalized probabilistic […]


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Potential energy surface and formation of superheavy nuclei with the Skyrme energy-density functional

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Zhao-Qing Feng, , , | Summary: Within the framework of Skyrme energy-density functional theory, the nucleus-nucleus potential is calculated and potential energy surface is obtained with different effective forces for accurately estimating the formation cross sections of superheavy nuclei in massive fusion reactions. The width […]


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Bridging quantum many-body scar and quantum integrability in Ising chains with transverse and longitudinal fields

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Xiaoling Cui, , , | Summary: Quantum many-body scar (QMBS) and quantum integrability(QI) have been recognized as two distinct mechanisms for the breakdown of eigenstate thermalization hypothesis(ETH) in an isolated system. In this work, we reveal a smooth route to connect these two ETH-breaking mechanisms […]


Continue.. Bridging quantum many-body scar and quantum integrability in Ising chains with transverse and longitudinal fields

Bridging quantum many-body scar and quantum integrability in Ising chains with transverse and longitudinal fields

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Xiaoling Cui, , , | Summary: Quantum many-body scar (QMBS) and quantum integrability(QI) have been recognized as two distinct mechanisms for the breakdown of eigenstate thermalization hypothesis(ETH) in an isolated system. In this work, we reveal a smooth route to connect these two ETH-breaking mechanisms […]


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Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search

Kavli Affiliate: Zheng Zhu | First 5 Authors: Han Xiao, Ziwei Wang, Zheng Zhu, Jie Zhou, Jiwen Lu | Summary: In this paper, we propose a Shapley value based method to evaluate operation contribution (Shapley-NAS) for neural architecture search. Differentiable architecture search (DARTS) acquires the optimal architectures by optimizing the architecture parameters with gradient descent, […]


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