Hao Zhong

22 papers A* 1B 2C 1Misc 1Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
A mutual information-driven submodular optimization approach to covariate selection in causal effect estimation.
Knowl. Based Syst.
Qi Zhang, Hao Zhong
2026 A* conf
Line Graphs Are Here! Unlock a Simple Solution for Data Sparsity and Class Imbalance in Recommender System.
WWW
Junming Zhou, Hao Zhong, Shupeng Li, Zhengyang Wu, Yong Tang, Ronghua Lin
2026 J jnl
On positive influence dominating sets with bi-directional weighted constraint in social networks.
J. Comb. Optim.
Qi Zhang, Hao Zhong
2026 J jnl
Penalty-enhanced quantum approximate optimization algorithm framework for maximization and minimization problems.
Theor. Comput. Sci.
Hao Zhong, Qi Zhang
2025 J jnl
DeHier: decoupled and hierarchical graph neural networks for multi-interest session-based recommendation.
World Wide Web (WWW)
Ronghua Lin, Feiyi Tang, Chengzhe Yuan, Hao Zhong, Weisheng Li, Yong Tang
2025 J jnl
Efficient Approximation Algorithms for Several Positive Influence Dominating Set Problems in Social Networks.
IEEE Trans. Comput. Soc. Syst.
Hao Zhong, Weisheng Li, Qi Zhang, Ronghua Lin, Yong Tang
2025 Misc conf
HGNNIM: A Hypergraph Neural Network-Based Approach to Maximize Influence in Social Networks.
WISA
Runbin Yao, Wenli Fang, Chao Chang, Luyao Teng, Chengzhe Yuan, Hao Zhong, Chengjie Mao
2025 J jnl
KPLLM-STE: Knowledge-enhanced and prompt-aware large language models for short-text expansion.
World Wide Web (WWW)
Hao Zhong, Qi Zhang, Weisheng Li, Ronghua Lin, Yong Tang
2025 J jnl
Motif and supernode-enhanced gated graph neural networks for session-based recommendation.
Neural Networks
Ronghua Lin, Chang Liu, Hao Zhong, Chengzhe Yuan, Guohua Chen, Yuncheng Jiang, Yong Tang
2024 J jnl
A unified embedding-based relation completion framework for knowledge graph.
Knowl. Based Syst.
Hao Zhong, Weisheng Li, Qi Zhang, Ronghua Lin, Yong Tang
2024 J jnl
An attention mechanism and residual network based knowledge graph-enhanced recommender system.
Knowl. Based Syst.
Weisheng Li, Hao Zhong, Junming Zhou, Chao Chang, Ronghua Lin, Yong Tang
2024 J jnl
Entity-Relation Guided Random Walk for Link Prediction in Knowledge Graphs.
IEEE Trans. Comput. Soc. Syst.
Weisheng Li, Hao Zhong, Ronghua Lin, Chao Chang, Zhihong Pan, Yong Tang
2024 J jnl
On greedy approximation algorithm for the minimum resolving dominating set problem.
J. Comb. Optim.
Hao Zhong
2023 J jnl
A unified greedy approximation for several dominating set problems.
Theor. Comput. Sci.
Hao Zhong, Yong Tang, Qi Zhang, Ronghua Lin, Weisheng Li
2023 B conf
Efficient Graph Embedding Method for Link Prediction via Incorporating Graph Structure and Node Attributes.
WISE
Weisheng Li, Feiyi Tang, Chao Chang, Hao Zhong, Ronghua Lin, Yong Tang
2023 B conf
Informative Anchor-Enhanced Heterogeneous Global Graph Neural Networks for Personalized Session-Based Recommendation.
WISE
Ronghua Lin, Luyao Teng, Feiyi Tang, Hao Zhong, Chengzhe Yuan, Chengjie Mao
2022 J jnl
A computing method of predictive value based on fitting function in linear model.
EAI Endorsed Trans. Collab. Comput.
Hao Zhong, Huibing Zhang, Fei Jia
2022 J jnl
A general greedy approximation algorithm for finding minimum positive influence dominating sets in social networks.
J. Comb. Optim.
Weidong Chen, Hao Zhong, Lidong Wu, Ding-Zhu Du
2020 J jnl
Analysis and improvement of evaluation indexes for clustering results.
EAI Endorsed Trans. Collab. Comput.
Hao Zhong, Huibing Zhang, Fei Jia
2019 J jnl
Cross-platform rating prediction method based on review topic.
Future Gener. Comput. Syst.
Huibing Zhang, Hao Zhong, Weihua Bai, Fang Pan
2019 C conf
Dynamical Rating Prediction with Topic Words of Reviews: A Hierarchical Analysis Approach.
CollaborateCom
Huibing Zhang, Hao Zhong, Qing Yang, Fei Jia, Ya Zhou, Fang Pan
2019 J jnl
基于主题分析的用户评论聚类方法 (User Reviews Clustering Method Based on Topic Analysis).
计算机科学
Huibing Zhang, Hao Zhong, Xiaoli Hu