Yuqi Yang
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View article: Structural landscape of two-dimensional phases in group II–VI semiconductors
Structural landscape of two-dimensional phases in group II–VI semiconductors Open
Group II–VI semiconductors, renowned for their direct band gaps, high carrier mobilities, and mature synthesis, are essential in optoelectronic applications. While scaling down to the two-dimensional (2D) limit could unlock enhanced and di…
View article: Machine learning for 2D material–based devices
Machine learning for 2D material–based devices Open
View article: Factors Associated With the Level of Trust in Health Information Robots Among the General Population From a Socioecological Model Perspective: Network Analysis
Factors Associated With the Level of Trust in Health Information Robots Among the General Population From a Socioecological Model Perspective: Network Analysis Open
Background Although robots have emerged as a new means of delivering health information, with the advancement of artificial intelligence technology, individuals still face challenges in deciding whether to trust the health information prov…
View article: Canopy extraction of mango trees in hilly and plain orchards using UAV images: Performance of machine learning vs deep learning
Canopy extraction of mango trees in hilly and plain orchards using UAV images: Performance of machine learning vs deep learning Open
Mango is an important fruit widely grown in tropical and subtropical regions. Intelligent and accurate pesticide spraying for mango orchard can significantly improve yield and quality of mango. To obtain the information of mango canopy acc…
View article: Isotropic superconductivity in pressurized trilayer nickelate La4Ni3O10
Isotropic superconductivity in pressurized trilayer nickelate La4Ni3O10 Open
Evidence of superconductivity (SC) has recently been reported in pressurized La3Ni2O7 and La4Ni3O10, providing a new platform to explore high-temperature superconductivity. However, while zero resistance state has been observed, experiment…
View article: Effectiveness of Artificial Intelligence-Based Health Education Accurately Linking System (AI-HEALS) for Type 2 Diabetes Self-Management: A Cluster Randomized Clinical Trial
Effectiveness of Artificial Intelligence-Based Health Education Accurately Linking System (AI-HEALS) for Type 2 Diabetes Self-Management: A Cluster Randomized Clinical Trial Open
View article: Experimental Study on the Droplet Breakup Process in Contracted Pore Throat Microchannels
Experimental Study on the Droplet Breakup Process in Contracted Pore Throat Microchannels Open
View article: Comparisons of phenolic components and anti-metabolic activities during different cultivars and growing conditions of blueberry leaves
Comparisons of phenolic components and anti-metabolic activities during different cultivars and growing conditions of blueberry leaves Open
Blueberry leaves (BBL), the primary byproduct of blueberry processing industry, are rich in polyphenolic compounds with significant nutritional and medicinal potential. This study established and optimized analytical methods to determine t…
View article: Deep Learning Integration of Multi-Model Forecast Precipitation Considering Long Lead Times
Deep Learning Integration of Multi-Model Forecast Precipitation Considering Long Lead Times Open
Reliable forecast precipitation can support disaster prevention and mitigation and sustainable socio-economic development. Improving forecast precipitation accuracy remains a challenge. Therefore, a novel method for multi-model forecast pr…
View article: DNA methylation profile revealed the dynamically epigenetic regulation of the distinct heteromorphic leaf development in Populus euphratica
DNA methylation profile revealed the dynamically epigenetic regulation of the distinct heteromorphic leaf development in Populus euphratica Open
The heteromorphic leaves of Populus euphratica are typically an adaptive trait in reaction to the dry desert surroundings. The involvement of DNA methylation in plant organ development and response to the environment is well-established. N…
View article: Comparative genomic analysis of the Growth-Regulating Factors-Interacting Factors (GIFs) in six Salicaceae species and functional analysis of PeGIF3 reveals their regulatory role in Populus heteromorphic leaves
Comparative genomic analysis of the Growth-Regulating Factors-Interacting Factors (GIFs) in six Salicaceae species and functional analysis of PeGIF3 reveals their regulatory role in Populus heteromorphic leaves Open
View article: Comparative genomic analysis of the Growth Regulating Factors-Interacting Factors (GIFs) in six Salicaceae species and functional analysis of PeGIF3 reveals their regulatory role in Populus heteromorphic leaves
Comparative genomic analysis of the Growth Regulating Factors-Interacting Factors (GIFs) in six Salicaceae species and functional analysis of PeGIF3 reveals their regulatory role in Populus heteromorphic leaves Open
Background The GIF ( Growth-Regulating Factors-Interacting Factors ) gene family plays a vital role in regulating plant growth and development, particularly in controlling leaf, seed, and root meristem homeostasis. As an important adaptati…
View article: Towards an Ontology for Generating Behaviors for Socially Assistive Robots Helping Young Children
Towards an Ontology for Generating Behaviors for Socially Assistive Robots Helping Young Children Open
Socially assistive robots (SARs) have the potential to revolutionize educational experiences by providing safe, non-judgmental, and emotionally supportive environments for children's social development. The success of SARs relies on the sy…
View article: Integrating Multi-Model Forecast Precipitation Using a Novel Method Considering Long Lead Times Based on Deep Learning Models for Improving Accuracy
Integrating Multi-Model Forecast Precipitation Using a Novel Method Considering Long Lead Times Based on Deep Learning Models for Improving Accuracy Open
View article: A Parameter Estimation of Photovoltaic Models Using a Boosting Flower Pollination Algorithm
A Parameter Estimation of Photovoltaic Models Using a Boosting Flower Pollination Algorithm Open
An accurate and reliable estimation of photovoltaic models holds immense significance within the realm of energy systems. In pursuit of this objective, a Boosting Flower Pollination Algorithm (BFPA) was introduced to facilitate the robust …
View article: Optimization of Cascade Reservoir Operation for Power Generation, Based on an Improved Lightning Search Algorithm
Optimization of Cascade Reservoir Operation for Power Generation, Based on an Improved Lightning Search Algorithm Open
Cascade reservoir operation can ensure the optimal use of water and hydro-energy resources and improve the overall efficiency of hydropower stations. A large number of studies have used meta-heuristic algorithms to optimize reservoir opera…
View article: Optimal Scheduling of Cascade Reservoirs Based on an Integrated Multistrategy Particle Swarm Algorithm
Optimal Scheduling of Cascade Reservoirs Based on an Integrated Multistrategy Particle Swarm Algorithm Open
The optimal scheduling of cascade reservoirs is an important water resource management and regulation method. In the actual operation process, its nonlinear, high-dimensional, and coupled characteristics become increasingly apparent under …
View article: Semi-supervised 3D shape segmentation with multilevel consistency and part substitution
Semi-supervised 3D shape segmentation with multilevel consistency and part substitution Open
The lack of fine-grained 3D shape segmentation data is the main obstacle to developing learning-based 3D segmentation techniques. We propose an effective semi-supervised method for learning 3D segmentations from a few labeled 3D shapes and…
View article: Influence of frequency mixing on measurement accuracy of full-field heterodyne dynamic interferometer
Influence of frequency mixing on measurement accuracy of full-field heterodyne dynamic interferometer Open
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View article: Endoscopy Artefact Detection by Deep Transfer Learning of Baseline Models
Endoscopy Artefact Detection by Deep Transfer Learning of Baseline Models Open
View article: A Novel Runoff Forecasting Model Based on the Decomposition-Integration-Prediction Framework
A Novel Runoff Forecasting Model Based on the Decomposition-Integration-Prediction Framework Open
Runoff forecasting is of great importance for flood mitigation and power generation plan preparation. To explore the better application of time-frequency decomposition technology in runoff forecasting and improve the prediction accuracy, t…
View article: Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks
Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks Open
Sparse voxel-based 3D convolutional neural networks (CNNs) are widely used for various 3D vision tasks. Sparse voxel-based 3D CNNs create sparse non-empty voxels from the 3D input and perform 3D convolution operations on them only. We prop…
View article: Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields Open
Multilayer perceptrons (MLPs) have been successfully used to represent 3D shapes implicitly and compactly, by mapping 3D coordinates to the corresponding signed distance values or occupancy values. In this paper, we propose a novel positio…
View article: Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields Open
Multilayer perceptrons (MLPs) have been successfully used to represent 3D shapes implicitly and compactly, by mapping 3D coordinates to the corresponding signed distance values or occupancy values. In this paper, we propose a novel positio…
View article: Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination Open
We propose an unsupervised method for learning a generic and efficient shape encoding network for different shape analysis tasks. Our key idea is to jointly encode and learn shape and point features from unlabeled 3D point clouds. For this…
View article: Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination Open
Although unsupervised feature learning has demonstrated its advantages to reducing the workload of data labeling and network design in many fields, existing unsupervised 3D learning methods still cannot offer a generic network for various …
View article: An improved prediction method of water consumption rate considering aftereffects for short-term dispatching of hydropower station
An improved prediction method of water consumption rate considering aftereffects for short-term dispatching of hydropower station Open
Accurate and rapid output calculation of hydropower station (HS) is an important research item in reservoir dispatching neighborhood. There have existed many methods to calculate output in generation scheduling models with different time s…
View article: Risks Analysis of Discarding Water in Power Generation Process of Hydropower Station
Risks Analysis of Discarding Water in Power Generation Process of Hydropower Station Open
Hydropower, as a kind of clean energy, has the characteristics of rapid response to load changes, and is often used to undertake peak regulation and frequency regulation tasks. However, due to the uncertainties of reservoir inflow and runo…
View article: Quantization of Wind fluctuation based on IV
Quantization of Wind fluctuation based on IV Open
Generally, the hourly average wind speed is used in determining the spare capacity and real-time dispatch in power system, but the actual wind speed on the wind turbine is the actual instantaneous wind speed. An indicator (instantaneous va…
View article: Semi-supervised Power Iteration Clustering
Semi-supervised Power Iteration Clustering Open
Spectral clustering is of significance for many research areas, but high computation complexity restricted its power obviously. Even though Power Iteration Clustering(PIC) algorithm could speed up its process by random selection of the ini…