Search Results - "DONG, Shoubin"
-
1
HAGERec: Hierarchical Attention Graph Convolutional Network Incorporating Knowledge Graph for Explainable Recommendation
Published in Knowledge-based systems (27-09-2020)“…Knowledge graph (KG) can provide auxiliary information for recommender system to alleviate the sparsity and cold start problems, while graph convolutional…”
Get full text
Journal Article -
2
GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification
Published in BMC bioinformatics (22-07-2021)“…Autism spectrum disorders (ASD) imply a spectrum of symptoms rather than a single phenotype. ASD could affect brain connectivity at different degree based on…”
Get full text
Journal Article -
3
BrainNPT: Pre-training Transformer Networks for Brain Network Classification
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2024)“…Deep learning methods have advanced quickly in brain imaging analysis over the past few years, but they are usually restricted by the limited labeled data…”
Get full text
Journal Article -
4
A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing
Published in IEEE access (01-01-2015)“…For task-scheduling problems in cloud computing, a multi-objective optimization method is proposed here. First, with an aim toward the biodiversity of…”
Get full text
Journal Article -
5
A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records
Published in BMC medical informatics and decision making (09-04-2019)“…The Named Entity Recognition (NER) task as a key step in the extraction of health information, has encountered many challenges in Chinese Electronic Medical…”
Get full text
Journal Article -
6
An energy-aware heuristic framework for virtual machine consolidation in Cloud computing
Published in The Journal of supercomputing (01-07-2014)“…Virtual machine (VM) consolidation in Cloud computing provides a great opportunity for energy saving. However, the obligation of providing suitable quality of…”
Get full text
Journal Article -
7
Spherical search optimizer: a simple yet efficient meta-heuristic approach
Published in Neural computing & applications (01-07-2020)“…In these years, more meta-heuristic approaches have been proposed inspired by nature. However, the search mode has not been researched deeply. In this paper,…”
Get full text
Journal Article -
8
LCQS: an efficient lossless compression tool of quality scores with random access functionality
Published in BMC bioinformatics (18-03-2020)“…Advanced sequencing machines dramatically speed up the generation of genomic data, which makes the demand of efficient compression of sequencing data extremely…”
Get full text
Journal Article -
9
A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction
Published in BMC medical informatics and decision making (09-07-2020)“…With the rapid development of sequencing technologies, collecting diverse types of cancer omics data become more cost-effective. Many computational methods…”
Get full text
Journal Article -
10
ADS-HCSpark: A scalable HaplotypeCaller leveraging adaptive data segmentation to accelerate variant calling on Spark
Published in BMC bioinformatics (14-02-2019)“…The advance of next generation sequencing enables higher throughput with lower price, and as the basic of high-throughput sequencing data analysis, variant…”
Get full text
Journal Article -
11
Memetic quantum evolution algorithm for global optimization
Published in Neural computing & applications (01-07-2020)“…Quantum-inspired heuristic search algorithms have attracted considerable research interest in recent years. However, existing quantum simulation methods are…”
Get full text
Journal Article -
12
A Multichannel 2D Convolutional Neural Network Model for Task-Evoked fMRI Data Classification
Published in Computational intelligence and neuroscience (2019)“…Deep learning models have been successfully applied to the analysis of various functional MRI data. Convolutional neural networks (CNN), a class of deep neural…”
Get full text
Journal Article -
13
RACRec: Review Aware Cross-Domain Recommendation for Fully-Cold-Start User
Published in IEEE access (2020)“…Traditional recommendation algorithms such as matrix factorization, collaborative filtering perform poorly when lack of interactive information of user and…”
Get full text
Journal Article -
14
A linear algorithm for the restricted subtraction games
Published in Frontiers in physics (02-11-2022)“…The subtraction game is a well-known problem in the field of game theory, which is often called a one-heap Nim game. There are two players, a heap of tokens,…”
Get full text
Journal Article -
15
A Vascular Invasive Tumor Growth Optimization Algorithm for Multi-Objective Optimization
Published in IEEE access (2020)“…Multi-objective optimization problems (MOPs) have received much attention in recent years. To deal with these problems, many multi-objective optimization…”
Get full text
Journal Article -
16
A neighbor knowledge and velocity-based broadcast scheme for wireless ad hoc networks
Published in International journal of distributed sensor networks (01-11-2017)“…A neighbor knowledge-based broadcast scheme is proposed to reduce the latency for wireless ad hoc networks, yet keeping the overhead at a reasonably low level…”
Get full text
Journal Article -
17
Heterogeneous parallel computing accelerated iterative subpixel digital image correlation
Published in Science China. Technological sciences (2018)“…Parallel computing techniques have been introduced into digital image correlation (DIC) in recent years and leads to a surge in computation speed. The graphics…”
Get full text
Journal Article -
18
A Multi-Objective Hybrid Cloud Resource Scheduling Method Based on Deadline and Cost Constraints
Published in IEEE access (2017)“…We propose a task-oriented multi-objective scheduling method based on ant colony optimization (MOSACO) to optimize the finite pool of public and private…”
Get full text
Journal Article -
19
Increasing recommended effectiveness with markov chains and purchase intervals
Published in Neural computing & applications (01-10-2014)“…Recommendation system is an important component of many websites and has brought huge economic benefits and challenges for online shoppers and e-commerce…”
Get full text
Journal Article -
20
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community
Published in AI open (2023)“…The research field of Information Retrieval (IR) has evolved significantly, expanding beyond traditional search to meet diverse user information needs…”
Get full text
Journal Article