Xiaoyue Feng

Orcid: 0000-0003-3954-1333

According to our database1, Xiaoyue Feng authored at least 32 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
Improved Graph Contrastive Learning for Short Text Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
LiPTool: A tool for learning-based autonomous index placement in databases.
SoftwareX, December, 2023

Cross-Domain Meta-Learner for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., August, 2023

Local and Global: Temporal Question Answering via Information Fusion.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Optimal Tree-Based Index Placement for Autonomous Database.
Proceedings of the Database and Expert Systems Applications, 2023

2022
Deep Feature-Based Text Clustering and its Explanation.
IEEE Trans. Knowl. Data Eng., 2022

A maturity model for AI-empowered cloud-native databases: from the perspective of resource management.
J. Cloud Comput., 2022

Discovering trends and hotspots of biosafety and biosecurity research via machine learning.
Briefings Bioinform., 2022

PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Few-shot Node Classification on Attributed Networks with Graph Meta-learning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022


2021
Cancer Research Trend Analysis Based on Fusion Feature Representation.
Entropy, 2021

Deep Attention Diffusion Graph Neural Networks for Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

VPALG: Paper-publication Prediction with Graph Neural Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

COVID-19 Knowledge Graph for Drug and Vaccine Development.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Medical Scene Graphs and Reasoning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
BioNMT: A Biomedical Neural Machine Translation System.
Int. J. Comput. Commun. Control, November, 2020

Feature selection may improve deep neural networks for the bioinformatics problems.
Bioinform., 2020

2019
Relation path embedding in knowledge graphs.
Neural Comput. Appl., 2019

Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction.
IEEE Access, 2019

2018
Text classification based on deep belief network and softmax regression.
Neural Comput. Appl., 2018

A content-based recommender system for computer science publications.
Knowl. Based Syst., 2018

Exploring Trends of Lung Cancer Research Based on Word Representation.
Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2018, 2018

2017
Overfitting Reduction of Text Classification Based on AdaBELM.
Entropy, 2017

Protein-Protein Interaction Extraction Using Attention-Based Convolution Neural Networks.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
A Hybrid Algorithm of Extreme Learning Machine and Sparse Auto-Encoder.
Proceedings of the Smart Computing and Communication, 2016

2008
Improved Quantum-Inspired Evolutionary Algorithm and Its Application to 3-SAT Problems.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007
A novel quantum swarm evolutionary algorithm and its applications.
Neurocomputing, 2007

2005
A Novel Quantum Swarm Evolutionary Algorithm for Solving 0-1 Knapsack Problem.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
A Hybrid Algorithm for Combining Forecasting Based on AFTER-PSO.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization.
Proceedings of the Neural Information Processing, 11th International Conference, 2004


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