Semi-Supervised Learning: Exploiting Unlabeled Data with Symmetrical Distribution and High confidence. - Yihao Zhang 002; Junhao Wen 001; Fangfang Tang; Zhuo Jiang (Int. J. Pattern Recognit. Artif. Intell., 2012)

Semi-supervised learning combining co-training with active learning. - Yihao Zhang 002; Junhao Wen 001; Xibin Wang; Zhuo Jiang (Expert Syst. Appl., 2014)

Dynamic Macro-Based Heuristic Planning through Action Relationship Analysis. - Zhuo Jiang; Junhao Wen 001; Jun Zeng 003; Yihao Zhang 002; Xibin Wang; Sachio Hirokawa (IEICE Trans. Inf. Syst., 2015)

Semi-supervised hybrid clustering by integrating Gaussian mixture model and distance metric learning. - Yihao Zhang 002; Junhao Wen 001; Xibin Wang; Zhuo Jiang (J. Intell. Inf. Syst., 2015)

Hybrid Recommender System Using Semi-supervised Clustering Based on Gaussian Mixture Model. - Yihao Zhang 002; Xiaoyang Liu 001; Wanping Liu; Changpeng Zhu (CW, 2016)

Modeling the propagation of mobile malware on complex networks. - Wanping Liu; Chao Liu 026; Zheng Yang 001; Xiaoyang Liu 001; Yihao Zhang 002; Zuxue Wei (Commun. Nonlinear Sci. Numer. Simul., 2016)

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). - Junhao Wen 001; Dawen Dai; Junliang Yu; Min Gao 001; Yihao Zhang 002 (计算机科学, 2018)

A semi-supervised approach of graph-based with local and global consistency. - Yihao Zhang 002; Junhao Wen 001; Zhi Liu 004; Changpeng Zhu (Int. J. Inf. Technol. Manag., 2019)

Multislice left ventricular ejection fraction prediction from cardiac MRIs without segmentation using shared SptDenNet. - Zhi Liu 004; Yihao Zhang 002; Weiwei Li; Shuo Li 001; Zhiling Zou; Bo Chen 013 (Comput. Medical Imaging Graph., 2020)

Integrating Stacked Sparse Auto-Encoder Into Matrix Factorization for Rating Prediction. - Yihao Zhang 002; Chu Zhao; Mian Chen; Meng Yuan (IEEE Access, 2021)

Novel social network community discovery method combined local distance with node rank optimization function. - Xiaoyang Liu 001; Nan Ding; Chao Liu 026; Yihao Zhang 002; Ting Tang (Appl. Intell., 2021)

Unifying paragraph embeddings and neural collaborative filtering for hybrid recommendation. - Yihao Zhang 002; Zhi Liu 004; Chunyan Sang (Appl. Soft Comput., 2021)

Learning attention embeddings based on memory networks for neural collaborative recommendation. - Yihao Zhang 002; Xiaoyang Liu 001 (Expert Syst. Appl., 2021)

Social network node influence maximization method combined with degree discount and local node optimization. - Xiaoyang Liu 001; Songyang Wu; Chao Liu 026; Yihao Zhang 002 (Soc. Netw. Anal. Min., 2021)

Spatio-Temporal Mogrifier LSTM and Attention Network for Next POI Recommendation. - Yihao Zhang 002; Pengxiang Lan; Yuhao Wang; Haoran Xiang (ICWS, 2022)

LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation. - Lin Liu; Wei Zhou 028; Junhao Wen 001; Yihao Zhang 002; Yu Wang 267; Hanwen Zhang (PAKDD (1), 2022)

Aggregating knowledge-aware graph neural network and adaptive relational attention for recommendation. - Yihao Zhang 002; Meng Yuan; Chu Zhao; Mian Chen; Xiaoyang Liu 001 (Appl. Intell., 2022)

Unifying attentive sparse autoencoder with neural collaborative filtering for recommendation. - Yihao Zhang 002; Chu Zhao; Meng Yuan; Mian Chen; Xiaoyang Liu 001 (Intell. Data Anal., 2022)

Integrating label propagation with graph convolutional networks for recommendation. - Yihao Zhang 002; Meng Yuan; Chu Zhao; Mian Chen; Xiaoyang Liu 001 (Neural Comput. Appl., 2022)

Spatio-Temporal Position-Extended and Gated-Deep Network for Next POI Recommendation. - Pengxiang Lan; Yihao Zhang 002; Haoran Xiang; Yuhao Wang; Wei Zhou 028 (DASFAA (2), 2023)

Leveraging mixed distribution of multi-head attention for sequential recommendation. - Yihao Zhang 002; Xiaoyang Liu 001 (Appl. Intell., 2023)

Multi-aspect features of items for time-ordered sequential recommendation. - Yihao Zhang 002; Ruizhen Chen; Jiahao Hu; Guangjian Zhang; Junlin Zhu; Weiwen Liao (J. Intell. Fuzzy Syst., 2023)

Key nodes identification in complex networks based on subnetwork feature extraction. - Luyuan Gao; Xiaoyang Liu 001; Chao Liu 026; Yihao Zhang 002; Giacomo Fiumara; Pasquale De Meo (J. King Saud Univ. Comput. Inf. Sci., 2023)

KHDNN-book-crossing. - Yihao Zhang 002 (IEEE DataPort, 2023)

Social Network Rumor Detection Method Combining Dual-Attention Mechanism With Graph Convolutional Network. - Xiaoyang Liu 001; Zhengyang Zhao; Yihao Zhang 002; Chao Liu 026; Fan Yang (IEEE Trans. Comput. Soc. Syst., 2023)

Knowledge-enhanced multi-task recommendation in hyperbolic space. - Junlin Zhu; Yihao Zhang 002; Yulin Wang; Weiwen Liao; Ruizhen Chen; Meng Yuan (Appl. Intell., 2023)

Enhancing conversational recommender systems via multi-level knowledge modeling with semantic relations. - Yulin Wang; Yihao Zhang 002; Junlin Zhu; Weiwen Liao; Meng Yuan; Wei Zhou 028 (Knowl. Based Syst., 2023)

Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation. - Yihao Zhang 002; Chu Zhao; Weiwen Liao; Wei Zhou 028; Meng Yuan (ACM Trans. Intell. Syst. Technol., 2023)

Residual Spatio-Temporal Collaborative Networks for Next POI Recommendation. - Yonghao Huang; Pengxiang Lan; Xiaokang Li; Yihao Zhang 002; Kaibei Li (PAKDD (5), 2024)

Bayesian attention-based user behaviour modelling for click-through rate prediction. - Yihao Zhang 002; Mian Chen; Ruizhen Chen; Chu Zhao; Meng Yuan; Zhu Sun 001 (CAAI Trans. Intell. Technol., 2024)

Multi-space interaction learning for disentangled knowledge-aware recommendation. - Kaibei Li; Yihao Zhang 002; Junlin Zhu; Xiaokang Li; Xibin Wang (Expert Syst. Appl., 2024)

Conversational recommender based on graph sparsification and multi-hop attention. - Yihao Zhang 002; Yuhao Wang; Wei Zhou 028; Pengxiang Lan; Haoran Xiang; Junlin Zhu; Meng Yuan (Intell. Data Anal., 2024)

Multi-aspect Knowledge-enhanced Hypergraph Attention Network for Conversational Recommendation Systems. - Xiaokang Li; Yihao Zhang 002; Yonghao Huang; Kaibei Li; Yunjia Zhang; Xibin Wang (Knowl. Based Syst., 2024)

Mixed-curvature knowledge-enhanced graph contrastive learning for recommendation. - Yihao Zhang 002; Junlin Zhu; Ruizhen Chen; Weiwen Liao; Yulin Wang; Wei Zhou 028 (Expert Syst. Appl., 2024)

Conversational recommender based on additive attention and positional encoding. - Yihao Zhang 002; Yuhao Wang; Pengxiang Lan; Haoran Xiang; Junlin Zhu; Meng Yuan (J. Intell. Fuzzy Syst., 2024)

Meta-path automatically extracted from heterogeneous information network for recommendation. - Yihao Zhang 002; Weiwen Liao; Yulin Wang; Junlin Zhu; Ruizhen Chen; Yunjia Zhang (World Wide Web (WWW), 2024)

Leveraging Hyperbolic Dynamic Neural Networks for Knowledge-Aware Recommendation. - Yihao Zhang 002; Kaibei Li; Junlin Zhu; Meng Yuan; Yonghao Huang; Xiaokang Li (IEEE Trans. Comput. Soc. Syst., 2024)

Behavior sessions and time-aware for multi-target sequential recommendation. - Ruizhen Chen; Yihao Zhang 002; Jiahao Hu; Xibin Wang; Junlin Zhu; Weiwen Liao (Appl. Intell., 2024)

Multi-view self-supervised learning on heterogeneous graphs for recommendation. - Yunjia Zhang; Yihao Zhang 002; Weiwen Liao; Xiaokang Li; Xibin Wang (Appl. Soft Comput., 2025)

Learning robust travel preferences via check-in masking for next POI recommendation. - Chenghua Duan; Junhao Wen 001; Wei Zhou 028; Jun Zeng 003; Yihao Zhang 002 (Expert Syst. Appl., 2025)

Multi-session transformers and multi-attribute integration of items for sequential recommendation. - Jiahao Hu; Ruizhen Chen; Yihao Zhang 002; Yong Zhou (Expert Syst. Appl., 2025)

MCKP: Multi-aspect contextual knowledge-enhanced prompting for conversational recommender systems. - Yulin Wang; Yihao Zhang 002; Junlin Zhu; Yao Li; Wei Zhou 028 (Inf. Sci., 2025)

Intent-Driven Multi-level Augmentation with Contrastive Learning for Sequential Recommendation. - Shuang Ni; Wei Zhou 028; Fengji Luo; Yihao Zhang 002; Jun Zeng 003; Junhao Wen 001 (Knowl. Based Syst., 2025)

Feature-decorrelation adaptive contrastive learning for knowledge-aware recommendation. - Tong Cai; Yihao Zhang 002; Kaibei Li; Xiaokang Li; Xibin Wang (Neural Networks, 2025)

Adversarial regularized diffusion model for fair recommendations. - Ran Yang; Yihao Zhang 002; Kaibei Li; Qinyang He; Xiaokang Li; Wei Zhou 028 (Neural Networks, 2025)

Intent-Guided Bilateral Long and Short-Term Information Mining With Contrastive Learning for Sequential Recommendation. - Junhui Niu; Wei Zhou 028; Fengji Luo; Yihao Zhang 002; Jun Zeng 003; Junhao Wen 001 (IEEE Trans. Serv. Comput., 2025)

All is attention for multi-label text classification. - Zhi Liu 004; Yunjie Huang; Xincheng Xia; Yihao Zhang 002 (Knowl. Inf. Syst., 2025)

Mask Diffusion-Based Contrastive Learning for Knowledge-Aware Recommendation. - Kaibei Li; Yihao Zhang 002; Xiaokang Li; Meng Yuan; Wei Zhou 028 (IEEE Trans. Knowl. Data Eng., 2025)