Extracting Densest Sub-hypergraph with Convex Edge-weight Functions

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Shan Hu, Zimo Sheng, , | Summary: The densest subgraph problem (DSG) aiming at finding an induced subgraph such that the average edge-weights of the subgraph is maximized, is a well-studied problem. However, when the input graph is a hypergraph, the existing notion of DSG […]


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DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting

Kavli Affiliate: Yi Zhou | First 5 Authors: Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe | Summary: Federated learning has emerged as a privacy-preserving machine learning approach where multiple parties can train a single model without sharing their raw training data. Federated learning typically requires the utilization of multi-party computation techniques to […]


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CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation

Kavli Affiliate: Biao Huang | First 5 Authors: Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin | Summary: Brain tumor segmentation (BTS) in magnetic resonance image (MRI) is crucial for brain tumor diagnosis, cancer management and research purposes. With the great success of the ten-year BraTS challenges as well as the advances of […]


Continue.. CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation

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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