Hao Zhong

According to our database, Hao Zhong authored at least 13 papers between 2019 and 2025.

Collaborative distances:

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

2025

DeHier: decoupled and hierarchical graph neural networks for multi-interest session-based recommendation.

Ronghua Lin, Feiyi Tang, Chengzhe Yuan, Hao Zhong, Weisheng Li, Yong Tang

World Wide Web (WWW), January, 2025

2024

On greedy approximation algorithm for the minimum resolving dominating set problem.

Hao Zhong

J. Comb. Optim., November, 2024

Entity-Relation Guided Random Walk for Link Prediction in Knowledge Graphs.

Weisheng Li, Hao Zhong, Ronghua Lin, Chao Chang, Zhihong Pan, Yong Tang

IEEE Trans. Comput. Soc. Syst., October, 2024

A unified embedding-based relation completion framework for knowledge graph.

Hao Zhong, Weisheng Li, Qi Zhang, Ronghua Lin, Yong Tang

Knowl. Based Syst., 2024

An attention mechanism and residual network based knowledge graph-enhanced recommender system.

Weisheng Li, Hao Zhong, Junming Zhou, Chao Chang, Ronghua Lin, Yong Tang

Knowl. Based Syst., 2024

2023

A unified greedy approximation for several dominating set problems.

Hao Zhong, Yong Tang, Qi Zhang, Ronghua Lin, Weisheng Li

Theor. Comput. Sci., September, 2023

Informative Anchor-Enhanced Heterogeneous Global Graph Neural Networks for Personalized Session-Based Recommendation.

Ronghua Lin, Luyao Teng, Feiyi Tang, Hao Zhong, Chengzhe Yuan, Chengjie Mao

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Efficient Graph Embedding Method for Link Prediction via Incorporating Graph Structure and Node Attributes.

Weisheng Li, Feiyi Tang, Chao Chang, Hao Zhong, Ronghua Lin, Yong Tang

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

2022

A general greedy approximation algorithm for finding minimum positive influence dominating sets in social networks.

Weidong Chen, Hao Zhong, Lidong Wu, Ding-Zhu Du

J. Comb. Optim., 2022

2020

Analysis and improvement of evaluation indexes for clustering results.

Hao Zhong, Huibing Zhang, Fei Jia

EAI Endorsed Trans. Collab. Comput., 2020

2019

基于主题分析的用户评论聚类方法 (User Reviews Clustering Method Based on Topic Analysis).

Huibing Zhang, Hao Zhong, Xiaoli Hu

计算机科学, 2019

Cross-platform rating prediction method based on review topic.

Huibing Zhang, Hao Zhong, Weihua Bai, Fang Pan

Future Gener. Comput. Syst., 2019

Dynamical Rating Prediction with Topic Words of Reviews: A Hierarchical Analysis Approach.

Huibing Zhang, Hao Zhong, Qing Yang, Fei Jia, Ya Zhou, Fang Pan

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019