Yiteng Pan

According to our database, Yiteng Pan authored at least 16 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Improving intermediate reasoning in zero-shot chain-of-thought for large language models with filter supervisor-self correction.

Jun Sun, Yiteng Pan, Xiaohu Yan

Neurocomputing, 2025

2024

Enhancing Meeting Summarization Models via Large Language Model Data Generation and Weighted Sampling.

Ganbin Qiu, Yiteng Pan

Proceedings of the 5th International Conference on Computer Engineering and Intelligent Control, 2024

2023

Multi-objective dynamic distribution adaptation with instance reweighting for transfer feature learning.

Haoran Li, Fazhi He, Yiteng Pan

Knowl. Based Syst., March, 2023

2021

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

Haoran Li, Fazhi He, Yilin Chen, Yiteng Pan

Memetic Comput., 2021

A synchronized heterogeneous autoencoder with feature-level and label-level knowledge distillation for the recommendation.

Yiteng Pan, Fazhi He, Xiaohu Yan, Haoran Li

Eng. Appl. Artif. Intell., 2021

2020

Learning social representations with deep autoencoder for recommender system.

Yiteng Pan, Fazhi He, Haiping Yu

World Wide Web, 2020

A survey of level set method for image segmentation with intensity inhomogeneity.

Haiping Yu, Fazhi He, Yiteng Pan

Multim. Tools Appl., 2020

A scalable region-based level set method using adaptive bilateral filter for noisy image segmentation.

Haiping Yu, Fazhi He, Yiteng Pan

Multim. Tools Appl., 2020

A correlative denoising autoencoder to model social influence for top-N recommender system.

Yiteng Pan, Fazhi He, Haiping Yu

Frontiers Comput. Sci., 2020

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

Yiteng Pan, Fazhi He, Haiping Yu, Haoran Li

Appl. Intell., 2020

2019

A novel segmentation model for medical images with intensity inhomogeneity based on adaptive perturbation.

Haiping Yu, Fazhi He, Yiteng Pan

Multim. Tools Appl., 2019

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

Yiteng Pan, Fazhi He, Haiping Yu

Neurocomputing, 2019

2018

A novel region-based active contour model via local patch similarity measure for image segmentation.

Haiping Yu, Fazhi He, Yiteng Pan

Multim. Tools Appl., 2018

An Adaptive Method to Learn Directive Trust Strength for Trust-aware Recommender Systems.

Yiteng Pan, Fazhi He, Haiping Yu

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.

Yiteng Pan, Fazhi He, Haiping Yu

CoRR, 2017

Selective Image Matting with Scalable Variance and Model Rectification.

Xiao Chen, Fazhi He, Yiteng Pan, Haojun Ai

Proceedings of the Data Science, 2017