Explanipedia

Classification of C$^{*}$-algebras of real rank zero and a latticed total K-theory Open

Qingnan An, Chunguang Li, Zhichao Liu · 2025

In this paper, a new invariant was built toward the classification of separable C*-algebras of real rank zero, which we call latticed total K-theory. A classification theorem is given in terms of such an invariant for a large class of sepa…

An Equivalent Bem Model for 2-D Elasticity Problems Open

Lei Zhou, Chunguang Li, Hongxing Zheng · 2025

Trace Element Geochemical Characteristics of Plants and Their Role in Indicating Concealed Ore Bodies outside the Shizhuyuan W–Sn Polymetallic Deposit, Southern Hunan Province, China Open

Le Ou-Yang, Kaixuan Tan, Yongmei Li, Zhenzhong Liu, Hao Zhou , et al. · 2024

To explore the potential of plant trace elements as indicators in the search for concealed deposits within the W–Sn polymetallic mining area of Shizhuyuan, Hunan Province, this study focused on the geochemical characterization of 21 trace …

Asset Management Decision Support System with Blockchain Technology Open

Chunguang Li · 2024

Rapid determination of the migration parameters of nuclides in intact granite rock under the action of electric field Open

Xinyu Wang, Xiaojie Li, Yongmei Li, Longcheng Liu, Shuo Meng , et al. · 2024

Deep geologic disposal has been widely accepted as a strategy for long-term disposal of the high-level radioactive waste. It is principal to obtain the migration parameters of radionuclides in natural barrier, such as granite, of a high-le…

Algorithm Design and Optimization for Knowledge Fusion: A Graph Matching-based Approach Open

Chunguang Li, Haixia Shang, Xiaolei Wu, Yuanyuan Wu, Lei Liu · 2024

Knowledge fusion plays a crucial role in the construction of knowledge graphs, aiming to integrate knowledge from different data sources and improve the accuracy and completeness of the knowledge graph. Knowledge graphs built from differen…

Applying Natural Language Processing to Knowledge Graph Construction: Design and Implementation of a Knowledge Extraction Algorithm Open

Chunguang Li, Haixia Shang, Yan Li, Xingxing Zhang, Yuanyuan Wu · 2024

With the advent of the information age, building a knowledge base for intelligent platforms has become one of the focuses of attention. As a structured representation method for knowledge, knowledge graph can display various domains of kno…

Reconstruction-Based Anomaly Localization via Knowledge-Informed Self-Training Open

Qian Cheng, Xiaoxian Lao, Chunguang Li · 2024

Anomaly localization, which involves localizing anomalous regions within images, is a significant industrial task. Reconstruction-based methods are widely adopted for anomaly localization because of their low complexity and high interpreta…

Rapid Determination of the Migration Parameters of Nuclides in Intact Granite Rock Under the Action of Electric Field Open

Xinyu Wang, Xiaojie Li, Yongmei Li, Shuo Meng, Chunguang Li , et al. · 2024

Research on the Construction of Enterprise Compliance Management System in the Context of Deep Learning Open

Chunguang Li · 2024

Migration learning is a kind of deep learning that plays an important role in risk prediction and warning. In this paper, we use the Triplet-loss representation learning technique to map data samples of the same category to adjacent spatia…

Analysis of Intelligent Risk Rating of Corporate Internal Control Compliance under Information Convergence Technology Open

Chunguang Li · 2024

The alarming problems related to illegal construction in individual enterprises have begun to raise questions about the effectiveness of internal control in these enterprises. In order to better achieve the internal control objectives, a s…

Low-Multi-Rank High-Order Bayesian Robust Tensor Factorization Open

Jia-Nan Liu, Chunguang Li · 2023

The recently proposed tensor robust principal component analysis (TRPCA) methods based on tensor singular value decomposition (t-SVD) have achieved numerous successes in many fields. However, most of these methods are only applicable to th…

TFDet: Target-Aware Fusion for RGB-T Pedestrian Detection Open

Xue Zhang, Xiaohan Zhang, Jiacheng Ying, Zehua Sheng, Heng Yu , et al. · 2023

Pedestrian detection plays a critical role in computer vision as it contributes to ensuring traffic safety. Existing methods that rely solely on RGB images suffer from performance degradation under low-light conditions due to the lack of u…

Sulfonic Acid Functionalized Al-Based Mil-101-Nh2 Modified Separator for Lithium-Sulfur Batteries Open

Shirui Pang, Yuxin Liu, Zhe Zhang, Yuxin Li, Chunguang Li , et al. · 2023

A new conjugate gradient method with a restart direction and its application in image restoration Open

Yixin Li, Chunguang Li, Wei Yang, Wensheng Zhang · 2023

We established a new conjugate gradient method with an efficient restart direction for solving large scale unconstrained optimization problems. The modified method was proposed under the Polak-Ribière-Polyak conjugate gradient method. Unde…

Construction of Ni2p-Nife2o4 Heterostructured Nanosheets Towards Performance-Enhanced Water Oxidation Reaction Open

Yuxin Li, Zhe Zhang, Ziqi Zhang, Jinghan He, Minggang Xie , et al. · 2023

Sulfonic Acid Functionalized Al-Based Mil-101-Nh2 Modified Separator for Lithium-Sulfur Batteries Open

Shirui Pang, Yuxin Liu, Zhe Zhang, Yuxin Li, Chunguang Li , et al. · 2023

Indium-Vacancy-Rich In2s3/Ni@C Photocatalyst with Chemical Bonds for Producing Hydrogen and Benzylamine Oxidation Open

Yuxin Liu, Yiqiang He, Chunguang Li, Shouhua Feng, Zhan Shi · 2023

On the Connection of Generative Models and Discriminative Models for Anomaly Detection Open

Jingxuan Pang, Chunguang Li · 2022

Anomaly detection (AD) has attracted considerable attention in both academia and industry. Due to the lack of anomalous data in many practical cases, AD is usually solved by first modeling the normal data pattern and then determining if da…

Distributed Support Vector Ordinal Regression over Networks Open

Huan Liu, Jiankai Tu, Chunguang Li · 2022

Ordinal regression methods are widely used to predict the ordered labels of data, among which support vector ordinal regression (SVOR) methods are popular because of their good generalization. In many realistic circumstances, data are coll…

Non-equilibrium diffusion characteristics of the particles system and its application Open

Jianqiang Dong, Chunguang Li, Peng Wang, Junxia Liu · 2022

In this paper, we discuss a possible generalization of the social influences of the Langevin equation. Using a functional method of the Kramers–Moyal expansion coefficients, we prove a simple rule for the corresponding Fokker-Planck equati…

A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection Open

Sifeng He, Xudong Yang, Chen Jiang, Gang Liang, Wei Zhang , et al. · 2022

In this paper, we introduce VCSL (Video Copy Segment Localization), a new comprehensive segment-level annotated video copy dataset. Compared with existing copy detection datasets restricted by either video-level annotation or small-scale, …

Engineering the interplanar spacing of K-birnessite for ultra-long cycle Zn-ion battery through “hydrothermal potassium insertion” strategy Open

Denghu Wang, Siqi Zhang, Chunguang Li, Xiaobo Chen, Wenwen Wang , et al. · 2022

Pcnet: A Structure Similarity Enhancement Method for Multispectral and Multimodal Image Registration Open

Si-Yuan Cao, Bei Yu, Lun Luo, Shujie Chen, Chunguang Li , et al. · 2022

An electrochemical modification strategy to fabricate NiFeCuPt polymetallic carbon matrices on nickel foam as stable electrocatalysts for water splitting Open

Ziqi Zhang, Yiduo Li, Zhe Zhang, Zheng He, Yuxin Liu , et al. · 2022

Multiple metal elements immobilized into a carbon matrix to fabricate an ultra-stable water splitting electrocatalyst by one-step electrochemical modification.

Non-Convex Projected Nlms Algorithm for Adaptive Nonlinear Prediction Open

Zhaoting Liu, Yafeng Wang, Chunguang Li · 2022

A class of lattice Boltzmann models for the Burgers equation with variable coefficient in space and time Open

Zongning Zhang, Chunguang Li, Jianqiang Dong · 2021

In this paper, we study the numerical results of the Burgers equation with the variable coefficient in space and time and then put forward a lattice Boltzmann model of backward difference solution of nonlinear system. The macroscopic equat…

PCNet: A Structure Similarity Enhancement Method for Multispectral and Multimodal Image Registration Open

Si-Yuan Cao, Hui‐Liang Shen, Lun Luo, Shujie Chen, Chunguang Li · 2021

Multispectral and multimodal images are of important usage in the field of multi-source visual information fusion. Due to the alternation or movement of image devices, the acquired multispectral and multimodal images are usually misaligned…

Distributed Ordinal Regression Over Networks Open

Huan Liu, Jiankai Tu, Chunguang Li · 2021

Many real-world data are labeled with natural orders, i.e., ordinal labels. Examples can be found in a wide variety of fields. Ordinal regression is a problem to predict ordinal labels for given patterns. There are specially developed ordi…

Online Learning Algorithms for Quaternion ARMA Model Open

Xiaokun Pu, Chunguang Li · 2019

In this paper, we address the problem of adaptive learning for autoregressive moving average (ARMA) model in the quaternion domain. By transforming the original learning problem into a full information optimization task without explicit no…

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