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Creators/Authors contains: "XU, XIANG"

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  1. ; ; (, Journal of Mathematical Study)
    Free, publicly-accessible full text available December 1, 2025
  2. ; ; ; ; ; ; (, Springer Nature Switzerland)
    Accurate prediction of dissolved oxygen (DO) concentrations in lakes requires a comprehensive study of phenological patterns across ecosystems, highlighting the need for precise selection of interactions amongst external factors and internal physical-chemical-biological variables. This paper presents the Multi-population Cognitive Evolutionary Search (MCES), a novel evolutionary algorithm for complex feature interaction selection problems. MCES allows models within every population to evolve adaptively, selecting relevant feature interactions for different lake types and tasks. Evaluated on diverse lakes in the Midwestern USA, MCES not only consistently produces accurate predictions with few observed labels but also, through gene maps of models, reveals sophisticated phenological patterns of different lake types, embodying the innovative concept of “AI from nature, for nature”. 
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    Free, publicly-accessible full text available September 7, 2025
  3. ; ; ; ; (, Zootaxa)
    Two new species of the genus Putaoa Hormiga and Tu, 2008 from southern China are described, Putaoa annulata n. sp. (♂♀) and Putaoa titanoverpa n. sp. (♂♀), for a total number of five described species in this genus. Detailed descriptions and illustrations of the two new species are provided. A map of collecting localities is also provided for all five Putaoa species. 
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    Full Text Available 
  4. ; ; (, Journal of Nonlinear Science)
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  5. ; ; (, SIAM Journal on Mathematical Analysis)
    null (Ed.)
    Full Text Available 
  6. ; ; ; (, Inverse problems)
    null (Ed.)
    Full Text Available 
  7. ; ; ; ; ; ; ; ; ; ; et al (, The Journal of Physical Chemistry Letters)
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  8. ; ; (, Journal of Nonlinear Science)
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