Yahong Lian

According to our database, Yahong Lian authored at least 17 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GD-GCN: Granular-diversified graph convolutional network for recommendation.

Yahong Lian, Ruijia Ma, Qiong Huang, Chunyao Song

Neurocomputing, 2026

Sign-Aware Multimodal Graph Recommendation.

Yahong Lian, Haotian Tian, Chunyao Song, Tingjian Ge

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

An Exploratory Study on Information Cocoon in Recommender Systems.

Lin Zhang, Yahong Lian, Haixia Wu, Chunyao Song, Xiaojie Yuan

Data Sci. Eng., September, 2025

Valid Coverage Oriented Item Perspective Recommendation.

Ruijia Ma, Yahong Lian, Rongbo Qi, Chunyao Song, Tingjian Ge

IEEE Trans. Knowl. Data Eng., June, 2025

SORCL: Social-Reachability-driven Contrastive Learning for friend recommendation.

Qiong Huang, Yahong Lian, Chunyao Song

Expert Syst. Appl., 2025

ITMPRec: Intention-based Targeted Multi-round Proactive Recommendation.

Yahong Lian, Chunyao Song, Tingjian Ge

Proceedings of the ACM on Web Conference 2025, 2025

Sub-Interest-Aware Representation Uniformity for Recommender System.

Ruijia Ma, Yahong Lian, Chunyao Song

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Target-driven user preference transferring recommendation.

Yahong Lian, Lin Zhang, Chunyao Song

Expert Syst. Appl., March, 2024

2022

Two-stage partial image-text clustering (TPIT-C).

Dongjin Guo, Xiaoming Su, Yahong Lian, Limin Liu, Haibo Wang

IET Comput. Vis., 2022

A Contrastive Learning Based CNN-GRU Model for Time Series and Its Application for Water Quality Prediction.

Yahong Lian, Jing Yun, Yuncheng Wang, Zhiwei Xu

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

Sequential Recommendation for Online Consumption by ACFNN.

Yahong Lian, Jing Yun, Xiaoming Su, Zhiwei Xu

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

2018

Web Items Recommendation Based on Multi-View Clustering.

Hong Yu, Tiantian Zhang, JiaXin Chen, Chen Guo, Yahong Lian

Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

Co-regularized Multi-view Subspace Clustering.

Hong Yu, Tiantian Zhang, Yahong Lian, Yu Cai

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

Self-Paced Learning Based Multi-view Spectral Clustering.

Hong Yu, Yahong Lian, Linlin Zong, Linlin Tian

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

View-Weighted Multi-view K-means Clustering.

Hong Yu, Yahong Lian, Shu Li, JiaXin Chen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Mixture Self-Paced Learning for Multi-view K-Means Clustering.

Hong Yu, Yahong Lian, Xiujuan Xu, Xiaowei Zhao

Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

2016

Recommending Features of Mobile Applications for Developer.

Hong Yu, Yahong Lian, Shuotao Yang, Linlin Tian, Xiaowei Zhao

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016