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Yinghao Zhang on Muck Rack

Yinghao Zhang

As seen in: Nature, Wiley, Wiley Online Library, PLOS ONE, MDPI, ACS Publications, Royal Society of Chemistry, BioRxiv, Psiquiatria.com, Gastrointestinal Endoscopy
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Articles

Microtopographic Hydrological Coupling Drives Soil–Microbe–Plant Interactions in Floodplains: A Case Study in Poyang Lake of China

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By Yinghao Zhang, Environment Liaocheng Liaocheng, Na Zhang
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. References , , , , and . 2015. “Compact Graphical Representation of Phylogenetic Data and Metadata With GraPhlAn.” PeerJ 3: e1029. https://doi.org/10.7717/peerj.1029. , , and . 1999. “Patterns in Nutrient Availability and Plant Diversity of Temperate North American Wetlands.” Ecology 80, no.
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Design of Sustainable and High Strength-Toughness Thermoplastic Elastomer via a Strong Hydrogen Bond-Reinforced Nanostructure Click to copy article link Article link copied!

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By Zhengkai Wei, Yinghao Zhang, Yuan Lei
| dx.doi.org
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Cross-modal latent alignment enables efficient compression of wearable sEMG and accelerometer signals

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By Yongfei Liu, Chengwen Liu, Zhiyou Zhang, Yinghao Zhang, Ruili Chang
| Nature Verified
Abstract Efficient compression of multimodal biosignals is critical for bandwidth-constrained wearable devices. Existing methods compress surface electromyography (sEMG) and accelerometer signals independently, ignoring their inherent coupling where muscle activation drives limb kinematics. We propose a cross-modal alignment framework that explicitly aligns the latent representations of these modalities during training through frame-wise correspondence and temporal-dynamics consistency.
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