Yihao Zhang

59 papers A 1C 1Journal 54Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bifurcated adversarial networks for intersectional fairness in graph neural network recommendations.
Eng. Appl. Artif. Intell.
Ran Yang, Yihao Zhang, Kaibei Li, Qinyang He, Xiaokang Li, Wei Zhou
2026 J jnl
Cross-modality multiband differential conditional diffusion for multimodal emotion recognition in conversation.
Knowl. Based Syst.
Xiaofei Zhu, Yang Jiang, Xiaoyang Liu, Yihao Zhang
2026 J jnl
Dual intent-aware contrastive learning on heterogeneous information networks for recommendation.
Expert Syst. Appl.
Yuanyuan Tang, Yihao Zhang, Yunjia Zhang, Xibin Wang
2026 J jnl
Feature decorrelation graph contrast learning based on PCA for recommendation.
Knowl. Inf. Syst.
Zhi Liu, Xincheng Xia, Yunjie Huang, Yihao Zhang, Xiaojuan Liu
2026 J jnl
Latent Diffusion Model for Social Recommendation.
IEEE Trans. Syst. Man Cybern. Syst.
Qinyang He, Yihao Zhang, Kaibei Li, Xiaokang Li, Wei Zhou
2026 J jnl
Leveraging hierarchy-aware diffusion model and knowledge-enhanced contrastive learning for recommendation.
Knowl. Inf. Syst.
Kaibei Li, Yihao Zhang, Qinyang He, Xiaokang Li
2026 J jnl
MSCF-net: Multi-scale frequency denoising and co-frequency enhancement network for multimodal recommendation.
Expert Syst. Appl.
Chenghao Li, Wei Zhou, Yihao Zhang, Jiahao Hu, Huayi Shen, Junhao Wen
2026 J jnl
Multi-round self-optimization with large language models for conversational recommendation.
Appl. Intell.
Qinyang He, Yihao Zhang, Kaibei Li, Xiaokang Li, Xibin Wang
2026 J jnl
Prototype learning based hierarchical decoupling for multimodal recommendation.
Expert Syst. Appl.
Jiangchuan Liu, Yihao Zhang, Qinyang He, Ran Yang, Xibin Wang, Wei Zhou
2025 J jnl
Adversarial regularized diffusion model for fair recommendations.
Neural Networks
Ran Yang, Yihao Zhang, Kaibei Li, Qinyang He, Xiaokang Li, Wei Zhou
2025 J jnl
All is attention for multi-label text classification.
Knowl. Inf. Syst.
Zhi Liu, Yunjie Huang, Xincheng Xia, Yihao Zhang
2025 J jnl
CMC-GCN: Consistent multi-granularity cascading graph convolution network for multi-behavior recommendation.
Neurocomputing
Yabo Yin, Xiaofei Zhu, Kunyang Huang, Wenshan Wang, Yihao Zhang, Pengfei Wang, Yixing Fan, Jiafeng Guo
2025 J jnl
Feature-decorrelation adaptive contrastive learning for knowledge-aware recommendation.
Neural Networks
Tong Cai, Yihao Zhang, Kaibei Li, Xiaokang Li, Xibin Wang
2025 J jnl
Intent-Driven Multi-level Augmentation with Contrastive Learning for Sequential Recommendation.
Knowl. Based Syst.
Shuang Ni, Wei Zhou, Fengji Luo, Yihao Zhang, Jun Zeng, Junhao Wen
2025 J jnl
Intent-Guided Bilateral Long and Short-Term Information Mining With Contrastive Learning for Sequential Recommendation.
IEEE Trans. Serv. Comput.
Junhui Niu, Wei Zhou, Fengji Luo, Yihao Zhang, Jun Zeng, Junhao Wen
2025 J jnl
Learning robust travel preferences via check-in masking for next POI recommendation.
Expert Syst. Appl.
Chenghua Duan, Junhao Wen, Wei Zhou, Jun Zeng, Yihao Zhang
2025 J jnl
MCKP: Multi-aspect contextual knowledge-enhanced prompting for conversational recommender systems.
Inf. Sci.
Yulin Wang, Yihao Zhang, Junlin Zhu, Yao Li, Wei Zhou
2025 J jnl
Mask Diffusion-Based Contrastive Learning for Knowledge-Aware Recommendation.
IEEE Trans. Knowl. Data Eng.
Kaibei Li, Yihao Zhang, Xiaokang Li, Meng Yuan, Wei Zhou
2025 J jnl
Multi-session transformers and multi-attribute integration of items for sequential recommendation.
Expert Syst. Appl.
Jiahao Hu, Ruizhen Chen, Yihao Zhang, Yong Zhou
2025 J jnl
Multi-view self-supervised learning on heterogeneous graphs for recommendation.
Appl. Soft Comput.
Yunjia Zhang, Yihao Zhang, Weiwen Liao, Xiaokang Li, Xibin Wang
2025 J jnl
Smooth diffusion model for multimodal recommendation.
Knowl. Based Syst.
Qinyang He, Kaibei Li, Yihao Zhang, Xiaokang Li, Wei Zhou
2024 J jnl
Bayesian attention-based user behaviour modelling for click-through rate prediction.
CAAI Trans. Intell. Technol.
Yihao Zhang, Mian Chen, Ruizhen Chen, Chu Zhao, Meng Yuan, Zhu Sun
2024 J jnl
Behavior sessions and time-aware for multi-target sequential recommendation.
Appl. Intell.
Ruizhen Chen, Yihao Zhang, Jiahao Hu, Xibin Wang, Junlin Zhu, Weiwen Liao
2024 J jnl
Conversational recommender based on additive attention and positional encoding.
J. Intell. Fuzzy Syst.
Yihao Zhang, Yuhao Wang, Pengxiang Lan, Haoran Xiang, Junlin Zhu, Meng Yuan
2024 J jnl
Conversational recommender based on graph sparsification and multi-hop attention.
Intell. Data Anal.
Yihao Zhang, Yuhao Wang, Wei Zhou, Pengxiang Lan, Haoran Xiang, Junlin Zhu, Meng Yuan
2024 J jnl
HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation.
CoRR
Yabo Yin, Xiaofei Zhu, Wenshan Wang, Yihao Zhang, Pengfei Wang, Yixing Fan, Jiafeng Guo
2024 J jnl
Leveraging Hyperbolic Dynamic Neural Networks for Knowledge-Aware Recommendation.
IEEE Trans. Comput. Soc. Syst.
Yihao Zhang, Kaibei Li, Junlin Zhu, Meng Yuan, Yonghao Huang, Xiaokang Li
2024 J jnl
Meta-path automatically extracted from heterogeneous information network for recommendation.
World Wide Web (WWW)
Yihao Zhang, Weiwen Liao, Yulin Wang, Junlin Zhu, Ruizhen Chen, Yunjia Zhang
2024 J jnl
Mixed-curvature knowledge-enhanced graph contrastive learning for recommendation.
Expert Syst. Appl.
Yihao Zhang, Junlin Zhu, Ruizhen Chen, Weiwen Liao, Yulin Wang, Wei Zhou
2024 J jnl
Multi-aspect Knowledge-enhanced Hypergraph Attention Network for Conversational Recommendation Systems.
Knowl. Based Syst.
Xiaokang Li, Yihao Zhang, Yonghao Huang, Kaibei Li, Yunjia Zhang, Xibin Wang
2024 J jnl
Multi-space interaction learning for disentangled knowledge-aware recommendation.
Expert Syst. Appl.
Kaibei Li, Yihao Zhang, Junlin Zhu, Xiaokang Li, Xibin Wang
2024 — conf
Residual Spatio-Temporal Collaborative Networks for Next POI Recommendation.
PAKDD (5)
Yonghao Huang, Pengxiang Lan, Xiaokang Li, Yihao Zhang, Kaibei Li
2023 J jnl
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation.
ACM Trans. Intell. Syst. Technol.
Yihao Zhang, Chu Zhao, Weiwen Liao, Wei Zhou, Meng Yuan
2023 J jnl
Enhancing conversational recommender systems via multi-level knowledge modeling with semantic relations.
Knowl. Based Syst.
Yulin Wang, Yihao Zhang, Junlin Zhu, Weiwen Liao, Meng Yuan, Wei Zhou
2023 J jnl
Key nodes identification in complex networks based on subnetwork feature extraction.
J. King Saud Univ. Comput. Inf. Sci.
Luyuan Gao, Xiaoyang Liu, Chao Liu, Yihao Zhang, Giacomo Fiumara, Pasquale De Meo
2023 J jnl
Knowledge-enhanced multi-task recommendation in hyperbolic space.
Appl. Intell.
Junlin Zhu, Yihao Zhang, Yulin Wang, Weiwen Liao, Ruizhen Chen, Meng Yuan
2023 J jnl
Leveraging mixed distribution of multi-head attention for sequential recommendation.
Appl. Intell.
Yihao Zhang, Xiaoyang Liu
2023 J jnl
Multi-aspect features of items for time-ordered sequential recommendation.
J. Intell. Fuzzy Syst.
Yihao Zhang, Ruizhen Chen, Jiahao Hu, Guangjian Zhang, Junlin Zhu, Weiwen Liao
2023 J jnl
Social Network Rumor Detection Method Combining Dual-Attention Mechanism With Graph Convolutional Network.
IEEE Trans. Comput. Soc. Syst.
Xiaoyang Liu, Zhengyang Zhao, Yihao Zhang, Chao Liu, Fan Yang
2023 — conf
Spatio-Temporal Position-Extended and Gated-Deep Network for Next POI Recommendation.
DASFAA (2)
Pengxiang Lan, Yihao Zhang, Haoran Xiang, Yuhao Wang, Wei Zhou
2022 J jnl
Aggregating knowledge-aware graph neural network and adaptive relational attention for recommendation.
Appl. Intell.
Yihao Zhang, Meng Yuan, Chu Zhao, Mian Chen, Xiaoyang Liu
2022 J jnl
Integrating label propagation with graph convolutional networks for recommendation.
Neural Comput. Appl.
Yihao Zhang, Meng Yuan, Chu Zhao, Mian Chen, Xiaoyang Liu
2022 — conf
LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation.
PAKDD (1)
Lin Liu, Wei Zhou, Junhao Wen, Yihao Zhang, Yu Wang, Hanwen Zhang
2022 A conf
Spatio-Temporal Mogrifier LSTM and Attention Network for Next POI Recommendation.
ICWS
Yihao Zhang, Pengxiang Lan, Yuhao Wang, Haoran Xiang
2022 J jnl
Unifying attentive sparse autoencoder with neural collaborative filtering for recommendation.
Intell. Data Anal.
Yihao Zhang, Chu Zhao, Meng Yuan, Mian Chen, Xiaoyang Liu
2021 J jnl
Integrating Stacked Sparse Auto-Encoder Into Matrix Factorization for Rating Prediction.
IEEE Access
Yihao Zhang, Chu Zhao, Mian Chen, Meng Yuan
2021 J jnl
Learning attention embeddings based on memory networks for neural collaborative recommendation.
Expert Syst. Appl.
Yihao Zhang, Xiaoyang Liu
2021 J jnl
Novel social network community discovery method combined local distance with node rank optimization function.
Appl. Intell.
Xiaoyang Liu, Nan Ding, Chao Liu, Yihao Zhang, Ting Tang
2021 J jnl
Social network node influence maximization method combined with degree discount and local node optimization.
Soc. Netw. Anal. Min.
Xiaoyang Liu, Songyang Wu, Chao Liu, Yihao Zhang
2021 J jnl
Unifying paragraph embeddings and neural collaborative filtering for hybrid recommendation.
Appl. Soft Comput.
Yihao Zhang, Zhi Liu, Chunyan Sang
2020 J jnl
Multislice left ventricular ejection fraction prediction from cardiac MRIs without segmentation using shared SptDenNet.
Comput. Medical Imaging Graph.
Zhi Liu, Yihao Zhang, Weiwei Li, Shuo Li, Zhiling Zou, Bo Chen
2019 J jnl
A semi-supervised approach of graph-based with local and global consistency.
Int. J. Inf. Technol. Manag.
Yihao Zhang, Junhao Wen, Zhi Liu, Changpeng Zhu
2018 J jnl
融合矩阵分解与距离度量学习的社会化推荐算法 (Social Recommendation Method Integrating Matrix Factorization and Distance Metric Learning).
计算机科学
Junhao Wen, Dawen Dai, Junliang Yu, Min Gao, Yihao Zhang
2016 C conf
Hybrid Recommender System Using Semi-supervised Clustering Based on Gaussian Mixture Model.
CW
Yihao Zhang, Xiaoyang Liu, Wanping Liu, Changpeng Zhu
2016 J jnl
Modeling the propagation of mobile malware on complex networks.
Commun. Nonlinear Sci. Numer. Simul.
Wanping Liu, Chao Liu, Zheng Yang, Xiaoyang Liu, Yihao Zhang, Zuxue Wei
2015 J jnl
Dynamic Macro-Based Heuristic Planning through Action Relationship Analysis.
IEICE Trans. Inf. Syst.
Zhuo Jiang, Junhao Wen, Jun Zeng, Yihao Zhang, Xibin Wang, Sachio Hirokawa
2015 J jnl
Semi-supervised hybrid clustering by integrating Gaussian mixture model and distance metric learning.
J. Intell. Inf. Syst.
Yihao Zhang, Junhao Wen, Xibin Wang, Zhuo Jiang
2014 J jnl
Semi-supervised learning combining co-training with active learning.
Expert Syst. Appl.
Yihao Zhang, Junhao Wen, Xibin Wang, Zhuo Jiang
2012 J jnl
Semi-Supervised Learning: Exploiting Unlabeled Data with Symmetrical Distribution and High confidence.
Int. J. Pattern Recognit. Artif. Intell.
Yihao Zhang, Junhao Wen, Fangfang Tang, Zhuo Jiang