Explanipedia

Effects of silicate rock weathering and agricultural cultivation on carbon sequestration in saline soils: an example from the saline soils of Bayannur, Northwest China Open

Qian Zhou, Shengyin Zhang, Shuncun Zhang, Tao Wang, Zhaoyun Ding , et al. · 2025

Microbial Community Response and Assembly Process of Yellow Sand Matrix in a Desert Marginal Zone Under Morchella Cultivation Open

Cuicui Su, Shengyin Zhang, Yanfang Zhou, Hao Tan, Shuncun Zhang , et al. · 2025

In this study, we investigated the adaptation of yellow-sand-substrate Morchella cultivation in the desert fringe and its effect on soil physicochemical properties and microbial communities. The qPCR and high-throughput sequencing with nul…

The Process of Soil Carbon Sequestration in Different Ecological Zones of Qingtu Lake in the Arid–Semi-Arid Region of Western China Open

Wang Tao, Shengyin Zhang, Shuncun Zhang, Ming Shao, Zhaoyun Ding , et al. · 2024

As a vital component of the global carbon pool, soils in arid and semi-arid regions play a significant role in carbon sequestration. In the context of global warming, increasing temperatures and moisture levels promote the transformation o…

BVTED: A Specialized Bilingual (Chinese–English) Dataset for Vulnerability Triple Extraction Tasks Open

Kai Liu, Yi Wang, Zhaoyun Ding, Aiping Li, Weiming Zhang · 2024

Extracting knowledge from cyber threat intelligence is essential for understanding cyber threats and implementing proactive defense measures. However, there is a lack of open datasets in the Chinese cybersecurity field that support both en…

Multi-Relation Extraction for Cybersecurity Based on Ontology Rule-Enhanced Prompt Learning Open

Fei Wang, Zhaoyun Ding, Kai Liu, Lehai Xin, Yu Zhao , et al. · 2024

In the domain of cybersecurity, available annotated data are often scarce, especially for Chinese cybersecurity datasets, often necessitating the manual construction of datasets. The scarcity of samples is one of the challenges in research…

Improving Mortality Risk Prediction with Routine Clinical Data: A Practical Machine Learning Model Based on eICU Patients Open

Shangping Zhao, Guanxiu Tang, Pan Liu, Qingyong Wang, Guohui Li , et al. · 2023

The findings demonstrate the feasibility of developing a highly accurate and well-calibrated model based on the XGBoost algorithm for short-term mortality risk prediction with easily accessible and interpretative data. These results enhanc…

Approximate Reasoning for Large-Scale ABox in OWL DL Based on Neural-Symbolic Learning Open

Xixi Zhu, Bin Liu, Cheng Zhu, Zhaoyun Ding, Li Yao · 2023

The ontology knowledge base (KB) can be divided into two parts: TBox and ABox, where the former models schema-level knowledge within the domain, and the latter is a set of statements of assertions or facts about instances. ABox reasoning i…

Multiclass imbalanced and concept drift network traffic classification framework based on online active learning Open

Weike Liu, Cheng Zhu, Zhaoyun Ding, Hang Zhang, Qingbao Liu · 2022

The complex problems of multiclass imbalance, virtual or real concept drift, concept evolution, high-speed traffic streams and limited label cost budgets pose severe challenges in network traffic classification tasks. In this paper, we pro…

Recent Progress of Using Knowledge Graph for Cybersecurity Open

Kai Liu, Fei Wang, Zhaoyun Ding, Sheng Liang, Zhengfei Yu , et al. · 2022

In today’s dynamic complex cyber environments, Cyber Threat Intelligence (CTI) and the risk of cyberattacks are both increasing. This means that organizations need to have a strong understanding of both their internal CTI and their externa…

A review of knowledge graph application scenarios in cyber security Open

Kai Liu, Fei Wang, Zhaoyun Ding, Sheng Liang, Zhengfei Yu , et al. · 2022

Facing the dynamic complex cyber environments, internal and external cyber threat intelligence, and the increasing risk of cyber-attack, knowledge graphs show great application potential in the cyber security area because of their capabili…

Multiclass Imbalanced and Concept Drift Network Traffic Classification Framework Based on Online Active Learning Open

Weike Liu, Chen Zhu, Zhaoyun Ding, Hang Zhang, Qingbao Liu · 2022

Multiple weak supervision for short text classification Open

Li-Ming Chen, Baoxin Xiu, Zhaoyun Ding · 2022

For short text classification, insufficient labeled data, data sparsity, and imbalanced classification have become three major challenges. For this, we proposed multiple weak supervision, which can label unlabeled data automatically. Diffe…

Mobile App Start-Up Prediction Based on Federated Learning and Attributed Heterogeneous Network Embedding Open

Shaoyong Li, Liang Lv, Xiaoya Li, Zhaoyun Ding · 2021

At present, most mobile App start-up prediction algorithms are only trained and predicted based on single-user data. They cannot integrate the data of all users to mine the correlation between users, and cannot alleviate the cold start pro…

A comprehensive active learning method for multiclass imbalanced data streams with concept drift Open

Weike Liu, Hang Zhang, Zhaoyun Ding, Qingbao Liu, Cheng Zhu · 2021

A challenge to many real-world applications is multiclass imbalance with concept drift. In this paper, we propose a comprehensive active learning method for multiclass imbalanced streaming data with concept drift (CALMID). First, we design…

Selecting Valuable Mask Topic Stocks through Ontology Reasoning Open

Liming Chen, Baoxin Xiu, Zhaoyun Ding, Xianqiang Zhu · 2020

Due to COVID-19, masks are in short supply. Accordingly, mask topic stocks have surged as well. However, faced with various mask topic stocks, plenty of individual investors can only blindly follow the trend, but lack of objective judgment…

Finding Misstatement Accounts in Financial Statements Through Ontology Reasoning Open

Liming Chen, Baoxin Xiu, Zhaoyun Ding · 2020

Finding misstatement accounts in financial statements, is a key problem of fraud detection. Potential applications include external audit, internal controls, investment decision and securities market regulation. However, most existing inte…

Preface: Structure and Evolution Open

Zhaoyun Ding, Xiaomeng Wang, Bin Wang, Yezheng Liu, Xiaodong Liu , et al. · 2019

Structure and EvolutionIn the twenty-first century, we highly depend on data and are part of the information society, where huge function platforms have been established by online social networks.We state our viewpoints, make friends, and …

Research on Logistics Route Optimization Based on GPS and GIS Technology Open

Zexue Li, Zhaoyun Ding, Qiuhong Qin, Hongwei Huang, Yujin Guo · 2018

There are a lot of places to improve and develop in the management of the logistics industry. This paper that is according to the serious problems and shortcomings of logistics' delivery and management in the logistics industry makes full …

A Parallel Approach for Frequent Subgraph Mining in a Single Large Graph Using Spark Open

Fengcai Qiao, Xin Zhang, Pei Li, Zhaoyun Ding, Shanshan Jia , et al. · 2018

Frequent subgraph mining (FSM) plays an important role in graph mining, attracting a great deal of attention in many areas, such as bioinformatics, web data mining and social networks. In this paper, we propose SSiGraM (Spark based Single …

Relevant Problems and Suggestions in Geomorphology Teaching Open

Yuan-Xin PENG, Zhaoyun Ding · 2017

Geomorphology plays an important role in the teaching of geography and other disciplines, but the teaching status and class time of geomorphology are weakened due to the influence of higher education reform. In this unfavorable situation, …

Predicting the Popularity of Topics based on User Sentiment in Microblogging Websites Open

Xiang Wang, Chen Wang, Zhaoyun Ding, Min Zhu, Jiumin Huang · 2017

Behavioral economics show us that emotions play an important role in individual behavior and decision-making. Does this also affect collective decision making in a community? Here we investigate whether the community sentiment energy of a …

Chinese Medical Question Answer Matching Using End-to-End Character-Level Multi-Scale CNNs Open

Sheng Zhang, Xin Zhang, Hui Wang, Jiajun Cheng, Pei Li , et al. · 2017

This paper focuses mainly on the problem of Chinese medical question answer matching, which is arguably more challenging than open-domain question answer matching in English due to the combination of its domain-restricted nature and the la…

Predicting Social Unrest Events with Hidden Markov Models Using GDELT Open

Fengcai Qiao, Pei Li, Xin Zhang, Zhaoyun Ding, Jiajun Cheng , et al. · 2017

Proactive handling of social unrest events which are common happenings in both democracies and authoritarian regimes requires that the risk of upcoming social unrest event is continuously assessed. Most existing approaches comparatively pa…

FuRongWang at SemEval-2017 Task 3: Deep Neural Networks for Selecting Relevant Answers in Community Question Answering Open

Sheng Zhang, Jiajun Cheng, Hui Wang, Xin Zhang, Pei Li , et al. · 2017

We describes deep neural networks frameworks in this paper to address the community question answering (cQA) ranking task (SemEval-2017 task 3). Convolutional neural networks and bi-directional long-short term memory networks are applied i…

The Discussing about Putting Eco-Agriculture into Practice in Taierzhuang District of Zaozhuang Municipality Open

Zhaoyun Ding · 2016

The condition of developing agriculture has advantageoues in Taierzhuang district of Zaozhuang municipality.But the traditional mode of agricultural production, there are a lot of drawbacks, the development of eco-agriculture is the route …

Zhaoyun Ding YOU? Author Swipe