Yiteng Pan

According to our database1, Yiteng Pan authored at least 14 papers between 2017 and 2023.

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

Timeline

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Links

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Bibliography

2023
Multi-objective dynamic distribution adaptation with instance reweighting for transfer feature learning.
Knowl. Based Syst., March, 2023

2021
MLFS-CCDE: multi-objective large-scale feature selection by cooperative coevolutionary differential evolution.
Memetic Comput., 2021

A synchronized heterogeneous autoencoder with feature-level and label-level knowledge distillation for the recommendation.
Eng. Appl. Artif. Intell., 2021

2020
Learning social representations with deep autoencoder for recommender system.
World Wide Web, 2020

A survey of level set method for image segmentation with intensity inhomogeneity.
Multim. Tools Appl., 2020

A scalable region-based level set method using adaptive bilateral filter for noisy image segmentation.
Multim. Tools Appl., 2020

A correlative denoising autoencoder to model social influence for top-N recommender system.
Frontiers Comput. Sci., 2020

Learning adaptive trust strength with user roles of truster and trustee for trust-aware recommender systems.
Appl. Intell., 2020

2019
A novel segmentation model for medical images with intensity inhomogeneity based on adaptive perturbation.
Multim. Tools Appl., 2019

A novel Enhanced Collaborative Autoencoder with knowledge distillation for top-N recommender systems.
Neurocomputing, 2019

2018
A novel region-based active contour model via local patch similarity measure for image segmentation.
Multim. Tools Appl., 2018

An Adaptive Method to Learn Directive Trust Strength for Trust-aware Recommender Systems.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

2017
Trust-aware Top-N Recommender Systems with Correlative Denoising Autoencoder.
CoRR, 2017

Selective Image Matting with Scalable Variance and Model Rectification.
Proceedings of the Data Science, 2017


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