Jinlong Hu

Orcid: 0000-0003-3602-7603

Affiliations:
  • South China University of Technology, Guangzhou, Guangdong, China


According to our database1, Jinlong Hu authored at least 42 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An efficient many-objective optimization algorithm for computation offloading in heterogeneous vehicular edge computing network.
Simul. Model. Pract. Theory, February, 2024

DCSim: Computing and Networking Integration based Container Scheduling Simulator for Data Centers.
CoRR, 2024

2023
Multi-objective computation offloading based on Invasive Tumor Growth Optimization for collaborative edge-cloud computing.
Soft Comput., December, 2023

Interpretable Disease Prediction via Path Reasoning over medical knowledge graphs and admission history.
Knowl. Based Syst., December, 2023

Incorporating entity-level knowledge in pretrained language model for biomedical dense retrieval.
Comput. Biol. Medicine, November, 2023

Explainable Natural Language Inference via Identifying Important Rationales.
IEEE Trans. Artif. Intell., June, 2023

A Review of Fusion Methods for Omics and Imaging Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Generating knowledge aware explanation for natural language inference.
Inf. Process. Manag., 2023

BrainNPT: Pre-training of Transformer networks for brain network classification.
CoRR, 2023

Transformer and Snowball Graph Convolution Learning for Biomedical Graph Classification.
CoRR, 2023

Video Noise Removal Using Progressive Decomposition With Conditional Invertibility.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

BrainPST: Pre-training Stacked Transformers for Dynamic Brain Functional Network Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Transformer and Snowball Graph Convolution Learning for Brain Functional Network Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Entity Relation Aware Graph Neural Ranking for Biomedical Information Retrieval.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
A Syntax-enhanced model based on category keywords for biomedical relation extraction.
J. Biomed. Informatics, 2022

A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction.
Artif. Intell. Medicine, 2022

2021
A Hierarchical Graph Convolution Network for Representation Learning of Gene Expression Data.
IEEE J. Biomed. Health Informatics, 2021

GFE: General Knowledge Enhanced Framework for Explainable Sequential Recommendation.
Knowl. Based Syst., 2021

AEFE: Automatic Embedded Feature Engineering for Categorical Features.
CoRR, 2021

MESD: Exploring Optical Flow Assessment on Edge of Motion Objects with Motion Edge Structure Difference.
CoRR, 2021

Optical flow estimation combining with illumination adjustment and edge refinement in livestock UAV videos.
Comput. Electron. Agric., 2021

GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification.
BMC Bioinform., 2021

2020
GFD: A Weighted Heterogeneous Graph Embedding Based Approach for Fraud Detection in Mobile Advertising.
Secur. Commun. Networks, 2020

A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction.
BMC Medical Informatics Decis. Mak., 2020

Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder.
Comput. Math. Methods Medicine, 2020

RACRec: Review Aware Cross-Domain Recommendation for Fully-Cold-Start User.
IEEE Access, 2020

GCN-LRP explanation: exploring latent attention of graph convolutional networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Enriching Pre-trained Language Model with Dependency Syntactic Information for Chemical-Protein Interaction Extraction.
Proceedings of the Information Retrieval - 26th China Conference, 2020

Graph Learning Approaches for Graph with Noise: Application to Disease Prediction in Population Graph.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records.
BMC Medical Informatics Decis. Mak., 2019

A Multichannel 2D Convolutional Neural Network Model for Task-Evoked fMRI Data Classification.
Comput. Intell. Neurosci., 2019

2018
A user similarity-based Top-<i>N</i> recommendation approach for mobile in-application advertising.
Expert Syst. Appl., 2018

Jointly Modeling User and Item Reviews by CNN for Multi-domain Recommendation.
Proceedings of the Information Retrieval - 24th China Conference, 2018

Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

pRNN: A Recurrent Neural Network based Approach for Customer Churn Prediction in Telecommunication Sector.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

DITGOssi: a two-stage invasive tumor growth optimization algorithm for the detection of SNPSNP interactions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection.
Mob. Inf. Syst., 2017

A hybrid bipartite graph based recommendation algorithm for mobile games.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Drug-drug interaction relation extraction with deep convolutional neural networks.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2014
Adaptation of ANN Based Video Stream QoE Prediction Model.
Proceedings of the Advances in Multimedia Information Processing - PCM 2014, 2014

2010
Performance Evaluation of Parallel File System Based on Lustre and Grey Theory.
Proceedings of the GCC 2010, 2010

2006
New Scheme of Implementing Real-Time Linux.
Proceedings of the International Conference on Software Engineering Advances (ICSEA 2006), October 28, 2006


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