Explanipedia

Isolated circularly polarized attosecond pulse generated by extreme birefringence effect in magnetized plasma Open

Chenhao Pan, Jingwei Wang, Renjie Liu, S. G. Rykovanov, Yuxin Leng · 2025

We propose a method to generate isolated and circularly polarized (CP) attosecond pulses through the interaction of a relativistic linearly polarized laser pulse with magnetized subcritical density plasma. When the strength of the magnetic…

Extreme Faraday effect in plasma under relativistic conditions Open

Renjie Liu, Chenhao Pan, S. G. Rykovanov, Jianhui Bin, Jingwei Wang · 2025

The extreme Faraday effect in plasma has been identified as a mechanism capable of generating a pair of circularly polarized pulses with opposite chirality. However, previous studies on this phenomenon have been confined to non-relativisti…

Development and validation of an explainable machine learning model for predicting occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma: A multi-center study Open

Runqiu Zhu, Yan Zhang, Jiayi Zhang, Haonan Yang, Chaobin Pan , et al. · 2025

Introduction: Due to the high propensity for occult lymph node metastasis (OLNM) in early-stage oral tongue squamous cell carcinoma (OTSCC), elective neck dissection has become standard practice for many patients with clinically node-negat…

PolyG: Adaptive Graph Traversal for Diverse GraphRAG Questions Open

Renjie Liu, Haitian Jiang, Xiao Yan, Bo Tang, Jinyang Li · 2025

GraphRAG enhances large language models (LLMs) to generate quality answers for user questions by retrieving related facts from external knowledge graphs. However, current GraphRAG methods are primarily evaluated on and overly tailored for …

Adaptive Parallel Training for Graph Neural Networks Open

Kaihao Ma, Renjie Liu, Xiao Yan, Zhenkun Cai, Xiang Song , et al. · 2025

Binocular Video-Based Automatic Pixel-Level Crack Detection and Quantification Using Deep Convolutional Neural Networks for Concrete Structures Open

Li Liu, Bo Shen, Shuchen Huang, Renjie Liu, Weizhang Liao , et al. · 2025

Crack detection and quantification play crucial roles in assessing the condition of concrete structures. Herein, a novel real-time crack detection and quantification method that leverages binocular vision and a lightweight deep learning mo…

Implementation of a Continuous Learning Model Based on Auxiliary Guiders for Generalized and Adaptive Fault Diagnosis of Industrial Data under Continuously Varying Operating Conditions Open

Haibin Hu, Renjie Liu, Renxin Liu, Jong‐Chen Chen · 2025

Design Parameter Analysis of Round-Window Stimulating Electromagnetic Transducer: A Nonlinear Electromechanical Model Open

Renjie Liu, Xiaojun Ji, Zhaohai Liu, Wenzhao Liu, D. W. Wang , et al. · 2025

Implementation of a Continuous Learning Model Based on Auxiliary Guiders for Generalized and Adaptive Fault Diagnosis of Industrial Data Under Continuously Varying Operating Conditions Open

Haibin Hu, Renjie Liu, Renxin Liu, jinxian chen · 2025

DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training Open

Renjie Liu, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang , et al. · 2024

Graph neural networks (GNNs) are machine learning models specialized for graph data and widely used in many applications. To train GNNs on large graphs that exceed CPU memory, several systems store data on disk and conduct out-of-core proc…

MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy Open

Haitian Jiang, Renjie Liu, Xiao Yan, Zhenkun Cai, Minjie Wang , et al. · 2023

Among the many variants of graph neural network (GNN) architectures capable of modeling data with cross-instance relations, an important subclass involves layers designed such that the forward pass iteratively reduces a graph-regularized e…

gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning Open

Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan , et al. · 2023

Graph sampling prepares training samples for graph learning and can dominate the training time. Due to the increasing algorithm diversity and complexity, existing sampling frameworks are insufficient in the generality of expression and the…

Assigning channel weights using an attention mechanism: an EEG interpolation algorithm Open

Renjie Liu, Zaijun Wang, Jiang Qiu, Xue Wang · 2023

During the acquisition of electroencephalographic (EEG) signals, various factors can influence the data and lead to the presence of one or multiple bad channels. Bad channel interpolation is the use of good channels data to reconstruct bad…

Neural Correlation of EEG and Eye Movement in Natural Grasping Intention Estimation Open

Chengyu Lin, Chengjie Zhang, Jialu Xu, Renjie Liu, Yuquan Leng , et al. · 2023

Decoding the user's natural grasp intent enhances the application of wearable robots, improving the daily lives of individuals with disabilities. Electroencephalogram (EEG) and eye movements are two natural representations when users gener…

Down-regulation of circPTTG1IP induces hepatocellular carcinoma development via miR-16-5p/RNF125/JAK1 axis Open

Rui Peng, Jun Cao, Bing-Bing Su, Xuesong Bai, Xin Jin , et al. · 2022

Circular RNAs are known to regulate the biological processes of hepatocellular carcinoma (HCC), and humans with Down syndrome are at low risk of developing solid tumors due to the amplification of several tumor suppressor genes on human ch…

A prognostic model for hepatocellular carcinoma based on apoptosis-related genes Open

Renjie Liu, Guifu Wang, Chi Zhang, Dousheng Bai · 2021

Background: Dysregulation of the balance between proliferation and apoptosis is the basis for human hepatocarcinogenesis. In many malignant tumors, such as hepatocellular carcinoma (HCC), there is a correlation between apoptotic dysregulat…

Identification of hepatocellular carcinoma risk using a novel prognostic model based on apoptosis-related genes Open

Renjie Liu, Guifu Wang, Chi Zhang, Dousheng Bai · 2021

Background Dysregulation of the balance between proliferation and apoptosis is the basis in human hepatocarcinogenesis. There is a possible association of apoptosis dysregulation with poor prognosis in many malignant tumors, such as hepato…

Cut-Edge Detection Method for Rice Harvesting Based on Machine Vision Open

Zhenqian Zhang, Ruyue Cao, Peng Cheng, Renjie Liu, Yifan Sun , et al. · 2020

A cut-edge detection method based on machine vision was developed for obtaining the navigation path of a combine harvester. First, the Cr component in the YCbCr color model was selected as the grayscale feature factor. Then, by detecting t…

Investigating plasma motion of magnetic clouds at 1 AU through a velocity-modified cylindrical force-free flux rope model Open

Y. Wang, Chendong Shen, Renjie Liu, Zebing Zhou · 2015

Magnetic clouds (MCs) are the interplanetary counterparts of coronal mass ejections (CMEs), and usually modeled by a flux rope. By assuming the quasi-steady evolution and self-similar expansion, we introduce three types of global motion in…

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