Publications by authors named "Yuheng Fan"

Presently, excessive carbon dioxide emissions represent a critical environmental challenge. Thus, urgent efforts are required to develop environmentally friendly and low-energy technologies for carbon dioxide treatment. In this case, membrane separation technology stands out as a promising avenue for CO separation, with selective membrane materials of high permeability playing a pivotal role in this process.

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Article Synopsis
  • - The text discusses challenges in acquiring medical samples for healthcare research, emphasizing the need for synthesized images to enhance data availability and improve model training despite current limitations in existing methods.
  • - Recent advancements using diffusion models show promise in synthesizing images efficiently, but they often focus on metrics like FID and IS rather than directly improving applications like disease diagnosis and grading.
  • - The authors propose a novel uncertainty-guided diffusion model to better synthesize samples that aid downstream tasks, backed by experiments on medical datasets and a theoretical framework for future explorations in generative model guidance.
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The sustainable management of wastewater through recycling and utilization stands as a pressing concern in the trajectory of societal advancement. Prioritizing the elimination of diverse organic contaminants is paramount in wastewater treatment, garnering significant attention from researchers worldwide. Emerging metal-organic framework materials (MOFs), bridging organic and inorganic attributes, have surfaced as novel adsorbents, showcasing pivotal potential in wastewater remediation.

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Spectrometric oil analysis is an important method to study the running state of Power-Shift Steering Transmission (PSST). A method of multiple out least squares support vector regression was developed using spectrometric oil analysis data and SVM (Support Vector Machine). The spectrometric oil analysis data were studied using multiple out least squares support vector regression.

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Spectrometric oil analysis is an important method to study the running state of power-shift steering transmission (PSST). An evaluation model of PSST health state was developed on the basis of the theories of principal component analysis (PCA) and analytic hierarchy process (AHP) using spectrometric oil analysis data. Considering the concept of mechanical equipment and wear elements in spectrometric oil analysis data, the health value was employed to quantitatively describe the running state degree of PSST, and the grades of health state were classified based on the health values.

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