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Browsing by Author Zhang, C.

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  • Hybrid Noise-Oriented Multilabel Learning

    • Authors: Zhang, C.;  Advisor: -;  Participants: Yu, Z.; Fu, H.; Zhu, P.; Chen, L.; Hu, Q. (2019)

  • For real-world applications, multilabel learning usually suffers from unsatisfactory training data. Typically, features may be corrupted or class labels may be noisy or both. Ignoring noise in the learning process tends to result in an unreasonable model and, thus, inaccurate prediction. Most existing methods only consider either feature noise or label noise in multilabel learning. In this paper, we propose a unified robust multilabel learning framework for data with hybrid noise, that is, both feature noise and label noise. The proposed method, hybrid noise-oriented multilabel learning (HNOML), is simple but rather robust for noisy data. HNOML simultaneously addresses feature and la...
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  • Impact of Flow Velocity on Transport of Graphene Oxide Nanoparticles in Saturated Porous Media

    • Authors: Zhang, C.;  Advisor: -;  Participants: Yan, A.; Wang, G.; Jin, C.; Chen, Y.; Shen, C. (2018)

  • In contrast, the presence of nanoscale protruding asperities (NPAs) can cause a decrease in the energy barrier with increasing IS, which facilitates the attachment in primary minima at higher IS. At a given IS, increasing flow velocity increases attachment efficiency on the rough sand surfaces. Torque analysis shows that the maximum hydrodynamic torques are smaller than the adhesive torques, even for GONPs located on the NPAs where the adhesions are the lowest. Consequently, the attachment efficiency cannot be reduced by increasing flow velocity. Additional column experiments confirm that deposited GONPs cannot be detached by increasing flow velocity. Conversely, increase of flow velo...
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  • Spatiotemporal Variability and Related Factors of Soil Organic Carbon in Henan Province

    • Authors: Zhang, C.;  Advisor: -;  Participants: Li, W.; Zhao, Z.; Zhou, Y.; Zhang, J.; Wu, Q. (2018)

  • Spatial variability and influential factors are important to evaluate soil organic C (SOC) and the C pool in large areas. In the present study, sampling was conducted from May to November 2011 in Henan Province, a typical agricultural region of Central China, to study the effects of soil properties and anthropogenic factors on SOC variability in cropland. Physicochemical properties of soil samples collected at 280 sites from the surface layer (at a depth of 0–20 cm) were analyzed, and related data about the sampling sites were also collected from the Second State Soil Survey of China, conducted in 1981. Firstly, we found increasing trends in SOC density (SOCD) and SOC pool (SOCP) were...