Yihao Zhang

According to our database, Yihao Zhang authored at least 36 papers between 2012 and 2025.

Collaborative distances:

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

2025

MCKP: Multi-aspect contextual knowledge-enhanced prompting for conversational recommender systems.

Yulin Wang, Yihao Zhang, Junlin Zhu, Yao Li, Wei Zhou

Inf. Sci., 2025

2024

Behavior sessions and time-aware for multi-target sequential recommendation.

Ruizhen Chen, Yihao Zhang, Jiahao Hu, Xibin Wang, Junlin Zhu, Weiwen Liao

Appl. Intell., October, 2024

Leveraging Hyperbolic Dynamic Neural Networks for Knowledge-Aware Recommendation.

Yihao Zhang, Kaibei Li, Junlin Zhu, Meng Yuan, Yonghao Huang, Xiaokang Li

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

Meta-path automatically extracted from heterogeneous information network for recommendation.

Yihao Zhang, Weiwen Liao, Yulin Wang, Junlin Zhu, Ruizhen Chen, Yunjia Zhang

World Wide Web (WWW), May, 2024

Conversational recommender based on additive attention and positional encoding.

Yihao Zhang, Yuhao Wang, Pengxiang Lan, Haoran Xiang, Junlin Zhu, Meng Yuan

J. Intell. Fuzzy Syst., March, 2024

Mixed-curvature knowledge-enhanced graph contrastive learning for recommendation.

Yihao Zhang, Junlin Zhu, Ruizhen Chen, Weiwen Liao, Yulin Wang, Wei Zhou

Expert Syst. Appl., March, 2024

Multi-aspect Knowledge-enhanced Hypergraph Attention Network for Conversational Recommendation Systems.

Xiaokang Li, Yihao Zhang, Yonghao Huang, Kaibei Li, Yunjia Zhang, Xibin Wang

Knowl. Based Syst., 2024

Conversational recommender based on graph sparsification and multi-hop attention.

Yihao Zhang, Yuhao Wang, Wei Zhou, Pengxiang Lan, Haoran Xiang, Junlin Zhu, Meng Yuan

Intell. Data Anal., 2024

Multi-space interaction learning for disentangled knowledge-aware recommendation.

Kaibei Li, Yihao Zhang, Junlin Zhu, Xiaokang Li, Xibin Wang

Expert Syst. Appl., 2024

Bayesian attention-based user behaviour modelling for click-through rate prediction.

Yihao Zhang, Mian Chen, Ruizhen Chen, Chu Zhao, Meng Yuan, Zhu Sun

CAAI Trans. Intell. Technol., 2024

Residual Spatio-Temporal Collaborative Networks for Next POI Recommendation.

Yonghao Huang, Pengxiang Lan, Xiaokang Li, Yihao Zhang, Kaibei Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation.

Yihao Zhang, Chu Zhao, Weiwen Liao, Wei Zhou, Meng Yuan

ACM Trans. Intell. Syst. Technol., December, 2023

Enhancing conversational recommender systems via multi-level knowledge modeling with semantic relations.

Yulin Wang, Yihao Zhang, Junlin Zhu, Weiwen Liao, Meng Yuan, Wei Zhou

Knowl. Based Syst., December, 2023

Knowledge-enhanced multi-task recommendation in hyperbolic space.

Junlin Zhu, Yihao Zhang, Yulin Wang, Weiwen Liao, Ruizhen Chen, Meng Yuan

Appl. Intell., December, 2023

Social Network Rumor Detection Method Combining Dual-Attention Mechanism With Graph Convolutional Network.

Xiaoyang Liu, Zhengyang Zhao, Yihao Zhang, Chao Liu, Fan Yang

IEEE Trans. Comput. Soc. Syst., October, 2023

KHDNN-book-crossing.

Yihao Zhang

Dataset, September, 2023

Key nodes identification in complex networks based on subnetwork feature extraction.

Luyuan Gao, Xiaoyang Liu, Chao Liu, Yihao Zhang, Giacomo Fiumara, Pasquale De Meo

J. King Saud Univ. Comput. Inf. Sci., July, 2023

Multi-aspect features of items for time-ordered sequential recommendation.

Yihao Zhang, Ruizhen Chen, Jiahao Hu, Guangjian Zhang, Junlin Zhu, Weiwen Liao

J. Intell. Fuzzy Syst., 2023

Leveraging mixed distribution of multi-head attention for sequential recommendation.

Yihao Zhang, Xiaoyang Liu

Appl. Intell., 2023

2022

Integrating label propagation with graph convolutional networks for recommendation.

Yihao Zhang, Meng Yuan, Chu Zhao, Mian Chen, Xiaoyang Liu

Neural Comput. Appl., 2022

Unifying attentive sparse autoencoder with neural collaborative filtering for recommendation.

Yihao Zhang, Chu Zhao, Meng Yuan, Mian Chen, Xiaoyang Liu

Intell. Data Anal., 2022

Aggregating knowledge-aware graph neural network and adaptive relational attention for recommendation.

Yihao Zhang, Meng Yuan, Chu Zhao, Mian Chen, Xiaoyang Liu

Appl. Intell., 2022

LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation.

Lin Liu, Wei Zhou, Junhao Wen, Yihao Zhang, Yu Wang, Hanwen Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Spatio-Temporal Mogrifier LSTM and Attention Network for Next POI Recommendation.

Yihao Zhang, Pengxiang Lan, Yuhao Wang, Haoran Xiang

Proceedings of the IEEE International Conference on Web Services, 2022

2021

Social network node influence maximization method combined with degree discount and local node optimization.

Xiaoyang Liu, Songyang Wu, Chao Liu, Yihao Zhang

Soc. Netw. Anal. Min., 2021

Learning attention embeddings based on memory networks for neural collaborative recommendation.

Yihao Zhang, Xiaoyang Liu

Expert Syst. Appl., 2021

Unifying paragraph embeddings and neural collaborative filtering for hybrid recommendation.

Yihao Zhang, Zhi Liu, Chunyan Sang

Appl. Soft Comput., 2021

Novel social network community discovery method combined local distance with node rank optimization function.

Xiaoyang Liu, Nan Ding, Chao Liu, Yihao Zhang, Ting Tang

Appl. Intell., 2021

Integrating Stacked Sparse Auto-Encoder Into Matrix Factorization for Rating Prediction.

Yihao Zhang, Chu Zhao, Mian Chen, Meng Yuan

IEEE Access, 2021

2020

Multislice left ventricular ejection fraction prediction from cardiac MRIs without segmentation using shared SptDenNet.

Zhi Liu, Yihao Zhang, Weiwei Li, Shuo Li, Zhiling Zou, Bo Chen

Comput. Medical Imaging Graph., 2020

2016

Modeling the propagation of mobile malware on complex networks.

Wanping Liu, Chao Liu, Zheng Yang, Xiaoyang Liu, Yihao Zhang, Zuxue Wei

Commun. Nonlinear Sci. Numer. Simul., 2016

Hybrid Recommender System Using Semi-supervised Clustering Based on Gaussian Mixture Model.

Yihao Zhang, Xiaoyang Liu, Wanping Liu, Changpeng Zhu

Proceedings of the 2016 International Conference on Cyberworlds, 2016

2015

Semi-supervised hybrid clustering by integrating Gaussian mixture model and distance metric learning.

Yihao Zhang, Junhao Wen, Xibin Wang, Zhuo Jiang

J. Intell. Inf. Syst., 2015

Dynamic Macro-Based Heuristic Planning through Action Relationship Analysis.

Zhuo Jiang, Junhao Wen, Jun Zeng, Yihao Zhang, Xibin Wang, Sachio Hirokawa

IEICE Trans. Inf. Syst., 2015

2014

Semi-supervised learning combining co-training with active learning.

Yihao Zhang, Junhao Wen, Xibin Wang, Zhuo Jiang

Expert Syst. Appl., 2014

2012

Semi-Supervised Learning: Exploiting Unlabeled Data with Symmetrical Distribution and High confidence.

Yihao Zhang, Junhao Wen, Fangfang Tang, Zhuo Jiang

Int. J. Pattern Recognit. Artif. Intell., 2012