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Aiqing Zhu
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Aiqing Zhu12 visible / 12 total nodes / 25 links

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Related contextCo-authorshipCo-authorshipCo-authorshipWorks onAuthorshipAuthorshipAuthorshipAuthorshipWorks onWorks onAuthorshipWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalAiqing ZhuAAiqing ZhuResearcherHypothesis-driven construction of mesoscopic dynamicsWHypothesis-driven const...preprint / 2026Zhuoyuan LiAZhuoyuan LiResearcherQianxiao LiAQianxiao LiResearcherApproximation capabilities of measure-preserving neural networksWApproximation capabilit...preprint / 2022VPNets: Volume-preserving neural networks for learning source-free dynamicsWVPNets: Volume-preservi...preprint / 2022On Numerical Integration in Neural Ordinary Differential EquationsWOn Numerical Integratio...preprint / 2022Deep Hamiltonian networks based on symplectic integratorsWDeep Hamiltonian networ...preprint / 2020Machine LearningTMachine Learning49008 worksmath.DSTmath.DS4970 worksUnit triangular factorization of the matrix symplectic groupWUnit triangular factori...preprint / 2020SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systemsWSympNets: Intrinsic str...preprint / 2020
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Aiqing Zhu

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PaperHypothesis-driven construction of mesoscopic dynamicsAuthorship / preprint / 2026PersonZhuoyuan LiCo-authorship / ResearcherPersonQianxiao LiCo-authorship / ResearcherPaperApproximation capabilities of measure-preserving neural networksAuthorship / preprint / 2022PaperVPNets: Volume-preserving neural networks for learning source-free dynamicsAuthorship / preprint / 2022PaperOn Numerical Integration in Neural Ordinary Differential EquationsAuthorship / preprint / 2022PaperDeep Hamiltonian networks based on symplectic integratorsAuthorship / preprint / 2020TopicMachine LearningWorks on / 49008 works

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