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Yuan Li

4 papers indexed

semantic_scholarWater Research2026-08-15

Microplastics deplete soil available nutrients: a global meta-analysis with machine learning reveals critical thresholds and interactive controls.

Yangzhou Xiang, J. Peñuelas, M. Rillig, Xuqiang Luo, Luca Nizzetto, J. Akkanen, et al.

Microplastics (MPs) contamination threatens soil nutrient bioavailability, yet quantitative understanding of effect magnitudes and controlling factors remains fragmented across diverse environmental contexts. Here, we synthesized 206 studies (2853 observations) spanning 12 countr…

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arxivcs.HC2026-07-21

BlurDriving: Investigating How Personalized Blur Techniques Impact Drivers' Performance in Virtual Reality

Yuan Li, Mark Colley, Xinyue Gui, Cristian Camilo Rendon Cardona, Pascal Jansen, Christian Sandor, et al.

Distracted driving remains a major safety concern, motivating approaches that aim to reduce visual overload before attention breaks down. However, visual overload varies across individuals, making it difficult to determine appropriate interventions for each driver. We investigate…

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arxivmath.OCeess.SY2026-07-18

Structural Vibration Control of Offshore Wind Turbines Using Tuned Mass Damper Inerter in OpenFAST: Implementation, Validation, and Illustration

Hisham Tariq, Yuan Li, Flavia De Luca, Agathoklis Giaralis

The tuned mass damper inerter (TMDI) is a passive vibration absorber that suppresses structural vibrations by leveraging the inertance property of inerter devices. Previous studies have demonstrated TMDI effectiveness in wind turbines, but relied on simplified structural models.…

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arxivcs.CV2026-06-29

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment

Yuan Li, Youyuan Lin, Zitang Sun, Yung-Hao Yang, Kiyofumi Miyoshi, Chenhui Chu, et al.

Blind image quality assessment (BIQA) is commonly built on two basic learning paradigms: regression and ranking. Regression calibrates absolute scores, whereas ranking recovers quality structure from ordinal relations. Although joint regression-ranking supervision often improves…

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