Min Yang
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View article: Preliminary exploration of finite element biomechanical preoperative planning for complex tibial plateau fractures
Preliminary exploration of finite element biomechanical preoperative planning for complex tibial plateau fractures Open
The aim of this study was to compare the clinical outcomes, biomechanical performance, and cost-effectiveness of finite element planning (FEP) with those of traditional (Trad) methods in the treatment of complex tibial plateau fractures in…
View article: Investigation on Thermal Conductivity of Soil Under Freeze–Thaw Action Based on Machine Learning Models
Investigation on Thermal Conductivity of Soil Under Freeze–Thaw Action Based on Machine Learning Models Open
Thermal conductivity is a crucial factor for the soil, which is significantly affected by environmental conditions. Based on the variation in the thermal conductivity and the influencing factors of silty clay obtained by the freeze–thaw cy…
View article: Oscillation of second order non-linear differential equations with a damping term
Oscillation of second order non-linear differential equations with a damping term Open
The objective of this paper is to present novel sufficient conditions for the oscillation of all solutions of a class of second-order non-linear differential equations with a damping term. Our oscillation criteria represent an improvement,…
View article: Safe Text-to-Image Generation: Simply Sanitize the Prompt Embedding
Safe Text-to-Image Generation: Simply Sanitize the Prompt Embedding Open
In recent years, text-to-image (T2I) generation models have made significant progress in generating high-quality images that align with text descriptions. However, these models also face the risk of unsafe generation, potentially producing…
View article: Towards precision medicine: Leading with big data and multidisciplinary collaboration
Towards precision medicine: Leading with big data and multidisciplinary collaboration Open
Precision medicine relies on individuals’ genetic information, omics characteristics, and environmental factors to achieve personalized disease prevention, diagnosis, and treatment. With the successful mapping of the entire human genome an…
View article: [Advances in basic and clinical research of flumatinib].
[Advances in basic and clinical research of flumatinib]. Open
Chronic myelogenous leukemia (CML) is a hematological malignancy originating from the pluripotent hematopoietic stem cells. Imatinib is the first generation of small molecule tyrosine kinase inhibitors (TKI) that revolutionized the treatme…
View article: An integrated analytical approach for multimodal remote sensing data in marine ecosystem damage early warning
An integrated analytical approach for multimodal remote sensing data in marine ecosystem damage early warning Open
With the rapid economic development, the increase of human activities in coastal areas, the continuous discharge of pollutants from land-based sources into the sea, and the increase in the protection of offshore by the sea-related manageme…
View article: Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph Attention Network for UAV Swarms
Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph Attention Network for UAV Swarms Open
Multiple unmanned aerial vehicles (Multi-UAV) systems have recently demonstrated significant advantages in some real-world scenarios, but the limited communication range of UAVs poses great challenges to multi-UAV collaborative decision-ma…
View article: Adversarial Momentum-Contrastive Pre-Training for Robust Feature Extraction.
Adversarial Momentum-Contrastive Pre-Training for Robust Feature Extraction. Open
Recently proposed adversarial self-supervised learning methods usually require big batches and long training epochs to extract robust features, which is not friendly in practical application. In this paper, we present a novel adversarial m…
View article: Missingness Augmentation: A General Approach for Improving Generative Imputation Models
Missingness Augmentation: A General Approach for Improving Generative Imputation Models Open
Missing data imputation is a fundamental problem in data analysis, and many studies have been conducted to improve its performance by exploring model structures and learning procedures. However, data augmentation, as a simple yet effective…
View article: LOCALIZED COLLOCATION TREFFTZ METHOD IN CONJUNCTION WITH THE GENERALIZED RECIPROCITY METHOD FOR TRANSIENT HEAT CONDUCTION ANALYSIS IN HETEROGENEOUS MATERIALS
LOCALIZED COLLOCATION TREFFTZ METHOD IN CONJUNCTION WITH THE GENERALIZED RECIPROCITY METHOD FOR TRANSIENT HEAT CONDUCTION ANALYSIS IN HETEROGENEOUS MATERIALS Open
This paper presents a novel localized collocation Trefftz method (LCTM) in conjunction with Laplace transformation for transient heat conduction analysis in heterogeneous materials under temperature loading.In contrast to the conventional …
View article: Research on the Method of Solving Kinematics Parameters of Three-axis Dynamic Centrifuge
Research on the Method of Solving Kinematics Parameters of Three-axis Dynamic Centrifuge Open
With the development of aerospace technology, the maneuverability of various types of aircraft continues to improve, and these aircraft experience an overload environment with high acceleration and high acceleration rate. Due to the specia…
View article: Collaborative filtering recommendation algorithm based on KNN and Xgboost hybrid
Collaborative filtering recommendation algorithm based on KNN and Xgboost hybrid Open
In the traditional collaborative filtering recommendation algorithm, it is easy to fall into the dilemma of local optimization due to single classification, which affects the recommendation effect of the algorithm. A hybrid collaborative f…
View article: PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data
PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data Open
Datasets with missing values are very common in real world applications. GAIN, a recently proposed deep generative model for missing data imputation, has been proved to outperform many state-of-the-art methods. But GAIN only uses a reconst…
View article: BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover's Distance
BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover's Distance Open
Pre-trained language models (e.g., BERT) have achieved significant success in various natural language processing (NLP) tasks. However, high storage and computational costs obstruct pre-trained language models to be effectively deployed on…
View article: Improve Adversarial Robustness via Weight Penalization on Classification Layer
Improve Adversarial Robustness via Weight Penalization on Classification Layer Open
It is well-known that deep neural networks are vulnerable to adversarial attacks. Recent studies show that well-designed classification parts can lead to better robustness. However, there is still much space for improvement along this line…
View article: A Fast deflation Method for Sparse Principal Component Analysis via Subspace Projections
A Fast deflation Method for Sparse Principal Component Analysis via Subspace Projections Open
The implementation of conventional sparse principal component analysis (SPCA) on high-dimensional data sets has become a time consuming work. In this paper, a series of subspace projections are constructed efficiently by using Household QR…
View article: Research on one-dimensional ubiquitiformal constitutive relations for a bimaterial bar
Research on one-dimensional ubiquitiformal constitutive relations for a bimaterial bar Open
1. Bažant Z.P., Yavari A., 2005, Is the cause of size effect on structural strength fractal or energetic--statistical? Engineering Fracture Mechanics, 72, 1-31. Google Scholar
View article: A hybrid change detection analysis using high-resolution remote sensing image
A hybrid change detection analysis using high-resolution remote sensing image Open
In order to reduce noise and improve the accuracy of the final change results, in this paper, we presented a hybrid change detection method based on combining pixel- and object-schemes, Firstly, the method obtained the orthogonal differenc…