Xiaojian Ding

Orcid: 0000-0002-5276-7727

According to our database1, Xiaojian Ding authored at least 31 papers between 2008 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Disperse Asymmetric Subspace Relation Hashing for Cross-Modal Retrieval.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

Maximum margin and global criterion based-recursive feature selection.
Neural Networks, January, 2024

Inter-reflection compensation for immersive projection display.
Multim. Tools Appl., January, 2024

Multi-View Randomized Kernel Classification via Nonconvex Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Semantic preserving asymmetric discrete hashing for cross-modal retrieval.
Appl. Intell., June, 2023

EDMH: Efficient discrete matrix factorization hashing for multi-modal similarity retrieval.
Inf. Process. Manag., May, 2023

A Unified Multi-Class Feature Selection Framework for Microarray Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Efficient discrete cross-modal hashing with semantic correlations and similarity preserving.
Inf. Sci., 2023

Label embedding asymmetric discrete hashing for efficient cross-modal retrieval.
Eng. Appl. Artif. Intell., 2023

2022
A Novel Recursive Gene Selection Method Based on Least Square Kernel Extreme Learning Machine.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Asymmetric cross-modal hashing with high-level semantic similarity.
Pattern Recognit., 2022

Scalable semantic-enhanced supervised hashing for cross-modal retrieval.
Knowl. Based Syst., 2022

A predictor-corrector affine scaling method to train optimized extreme learning machine.
J. Frankl. Inst., 2022

An efficient model selection for linear discriminant function-based recursive feature elimination.
J. Biomed. Informatics, 2022

SEAH: Semantic Preserving Asymmetric Hashing for Efficient Cross-Media retrieval.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021
Random compact Gaussian kernel: Application to ELM classification and regression.
Knowl. Based Syst., 2021

Random radial basis function kernel-based support vector machine.
J. Frankl. Inst., 2021

An efficient alpha seeding method for optimized extreme learning machine-based feature selection algorithm.
Comput. Biol. Medicine, 2021

2020
Stochastic resonance in a delay-controlled dissipative bistable potential for weak signal enhancement.
Commun. Nonlinear Sci. Numer. Simul., 2020

Extreme Learning Regression for nu Regularization.
Appl. Artif. Intell., 2020

A MBSE Based Flight Scenario Identification Approach for Civil Aircraft Certification Test.
Proceedings of the WSSE 2020: The 2nd World Symposium on Software Engineering, 2020

2019
A modified algorithm for computation issues in UAV-enabled wireless communications.
EURASIP J. Wirel. Commun. Netw., 2019

Industrial Robot Rotate Vector Reducer Fault Detection Based on Hidden Markov Models.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

A study on rotate vector reducer performance degradation based on acoustic emission techniques.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

2018
An On-Line Monitoring and Warning System of Multi-Rotor VAV.
Proceedings of the 3rd International Conference on System Reliability and Safety, 2018

2017
Optimization extreme learning machine with ν regularization.
Neurocomputing, 2017

2016
A two-step fault diagnosis framework for rolling element bearings with imbalanced data.
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016

An optimization method of extreme learning machine for regression.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

2012
Extreme Learning Machine for Regression and Multiclass Classification.
IEEE Trans. Syst. Man Cybern. Part B, 2012

2010
Optimization method based extreme learning machine for classification.
Neurocomputing, 2010

2008
A Framework of User Model Based on Semi-Supervised Techniques.
Proceedings of the 2008 IEEE International Conference on e-Business Engineering, 2008


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