Selective Image Matting with Scalable Variance and Model Rectification. - Xiao Chen; Fazhi He; Yiteng Pan; Haojun Ai (ICPCSEE (1), 2017)

Trust-aware Top-N Recommender Systems with Correlative Denoising Autoencoder. - Yiteng Pan; Fazhi He; Haiping Yu (CoRR, 2017)

An Adaptive Method to Learn Directive Trust Strength for Trust-aware Recommender Systems. - Yiteng Pan; Fazhi He; Haiping Yu (CSCWD, 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)

A novel Enhanced Collaborative Autoencoder with knowledge distillation for top-N recommender systems. - Yiteng Pan; Fazhi He; Haiping Yu (Neurocomputing, 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)

Learning adaptive trust strength with user roles of truster and trustee for trust-aware recommender systems. - Yiteng Pan; Fazhi He; Haiping Yu; Haoran Li 008 (Appl. Intell., 2020)

A correlative denoising autoencoder to model social influence for top-N recommender system. - Yiteng Pan; Fazhi He; Haiping Yu (Frontiers Comput. Sci., 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 survey of level set method for image segmentation with intensity inhomogeneity. - Haiping Yu; Fazhi He; Yiteng Pan (Multim. Tools Appl., 2020)

Learning social representations with deep autoencoder for recommender system. - Yiteng Pan; Fazhi He; Haiping Yu (World Wide Web, 2020)

A synchronized heterogeneous autoencoder with feature-level and label-level knowledge distillation for the recommendation. - Yiteng Pan; Fazhi He; Xiaohu Yan; Haoran Li 008 (Eng. Appl. Artif. Intell., 2021)

MLFS-CCDE: multi-objective large-scale feature selection by cooperative coevolutionary differential evolution. - Haoran Li 008; Fazhi He; Yilin Chen 001; Yiteng Pan (Memetic Comput., 2021)

Multi-objective dynamic distribution adaptation with instance reweighting for transfer feature learning. - Haoran Li 008; Fazhi He; Yiteng Pan (Knowl. Based Syst., 2023)

Enhancing Meeting Summarization Models via Large Language Model Data Generation and Weighted Sampling. - Ganbin Qiu; Yiteng Pan (ICCEIC, 2024)

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)