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2020 – today
- 2023
[j5]Jihu Wang
, Yuliang Shi, Han Yu, Kun Zhang, Xinjun Wang, Zhongmin Yan, Hui Li:
Temporal Density-aware Sequential Recommendation Networks with Contrastive Learning. Expert Syst. Appl. 211: 118563 (2023)- [j4]Guoqiang Tan, Yuliang Shi, Jihu Wang, Hui Li, Zhiyong Chen, Xinjun Wang:
Guided node graph convolutional networks for repository recommendation. Intell. Data Anal. 27(1): 181-198 (2023) - [j3]Jihu Wang, Yuliang Shi, Han Yu, Zhongmin Yan, Hui Li, Zhenjie Chen:
A novel KG-based recommendation model via relation-aware attentional GCN. Knowl. Based Syst. 275: 110702 (2023) - [c6]Xingfan Shi, Yuliang Shi, Jihu Wang, Hongfeng Sun, Hui Liu, Xinjun Wang, Zhiyong Chen:
Category Enhanced Dual View Contrastive Learning for Session-Based Recommendation. ICANN (7) 2023: 285-297 - [c5]Jihu Wang, Yuliang Shi, Han Yu, Xinjun Wang, Zhongmin Yan, Fanyu Kong:
Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation. SIGIR 2023: 372-382 - 2022
- [j2]Jihu Wang, Yuliang Shi, Dong Li, Kun Zhang, Zhiyong Chen, Hui Li:
McHa: a multistage clustering-based hierarchical attention model for knowledge graph-aware recommendation. World Wide Web 25(3): 1103-1127 (2022) - [c4]Xianshuai Cao, Yuliang Shi, Jihu Wang, Han Yu, Xinjun Wang, Zhongmin Yan:
Cross-modal Knowledge Graph Contrastive Learning for Machine Learning Method Recommendation. ACM Multimedia 2022: 3694-3702 - 2021
- [c3]Jihu Wang, Yuliang Shi, Lin Cheng, Kun Zhang, Zhiyong Chen:
GRE: A GAT-Based Relation Embedding Model of Knowledge Graph for Recommendation. ChineseCSCW (2) 2021: 77-91 - [c2]Xianshuai Cao, Yuliang Shi, Han Yu, Jihu Wang, Xinjun Wang, Zhongmin Yan, Zhiyong Chen:
DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation. SIGIR 2021: 203-212 - 2020
- [c1]Jihu Wang, Xueliang Shi, Lin Cheng, Kun Zhang, Yuliang Shi:
SoftKG: Building A Software Development Knowledge Graph through Wikipedia Taxonomy. SERVICES 2020: 151-156
2010 – 2019
- 2017
- [j1]Heqiang Tian, Xiaoqing Dang, Jihu Wang, Dongmei Wu:
Registration method for three-dimensional point cloud in rough and fine registrations based on principal component analysis and iterative closest point algorithm. Traitement du Signal 34(1-2): 57-75 (2017)
Coauthor Index
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