Jiaye Li

Orcid: 0000-0002-6267-8437

Affiliations:
  • Guangxi Normal University, China
  • Central South University, School of Computer Science and Engineering, Changsha, China


According to our database1, Jiaye Li authored at least 30 papers between 2019 and 2026.

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

Timeline

Legend:

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Bibliography

2026
Semi-Supervised Majority Voting for crowdsourcing.
Inf. Fusion, 2026

2025
Robust Quantum Feature Selection With Sparse Optimization Circuit.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2025

Piecewise Weighting Function for Collaborative Filtering Recommendation.
ACM Trans. Auton. Adapt. Syst., March, 2025

Demand-driven kNN classification.
Knowl. Based Syst., 2025

Efficient Adaptive Label Refinement for label noise learning.
Neurocomputing, 2025

2024
Quantum Nearest Neighbor Collaborative Filtering Algorithm for Recommendation System.
ACM Trans. Knowl. Discov. Data, September, 2024

Quantum Support Vector Machine for Classifying Noisy Data.
IEEE Trans. Computers, September, 2024

Quantum KNN Classification With K Value Selection and Neighbor Selection.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2024

Efficient Discriminative Feature Selection with Grouping Relative Comparison.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

2023
Robust Sparse Weighted Classification for Crowdsourcing.
IEEE Trans. Knowl. Data Eng., August, 2023

Reachable Distance Function for KNN Classification.
IEEE Trans. Knowl. Data Eng., July, 2023

KNN Classification With One-Step Computation.
IEEE Trans. Knowl. Data Eng., March, 2023

Anti-Noise Muiti-View Feature Selection With Sample Constraints.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Self-Adaptive Clustering of Dynamic Multi-Graph Learning.
Neural Process. Lett., 2022

Robust SVM for Cost-Sensitive Learning.
Neural Process. Lett., 2022

Two-step learning for crowdsourcing data classification.
Multim. Tools Appl., 2022

Hyper-class representation of data.
Neurocomputing, 2022

Hashing Learning with Hyper-Class Representation.
CoRR, 2022

2021
Z Distance Function for KNN Classification.
CoRR, 2021

2020
Spectral clustering via half-quadratic optimization.
World Wide Web, 2020

Local Structure Preservation for Nonlinear Clustering.
Neural Process. Lett., 2020

Unsupervised nonlinear feature selection algorithm via kernel function.
Neural Comput. Appl., 2020

2019
Nonlinear sparse feature selection algorithm via low matrix rank constraint.
Multim. Tools Appl., 2019

Double weighted K-nearest voting for label aggregation in crowdsourcing learning.
Multim. Tools Appl., 2019

Sparse learning based on clustering by fast search and find of density peaks.
Multim. Tools Appl., 2019

Exclusive feature selection and multi-view learning for Alzheimer's Disease.
J. Vis. Commun. Image Represent., 2019

基于核函数的稀疏属性选择算法 (Sparse Feature Selection Algorithm Based on Kernel Function).
计算机科学, 2019

Multi-View Unsupervised Feature Selection with Dynamic Sample Space Structure.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

An Efficient Feature Selection Algorithm Based on Kernel Function.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Nonlinear Clustering Algorithm via Kernel Function and Locality Structure Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019


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