Ontology Combined Based on the Social Network Information. - Zhengyang Wu 001; Yong Tang 001; Shaowen Hong; Chengzhe Yuan; Huiqiang Mai (HCC, 2014)

A Method for Latent-Friendship Recommendation Based on Community Detection in Social Network. - Yonghang Huang; Yong Tang 001; Chunying Li; Zhengyang Wu 001; Haoye Dong (IEEE WISA, 2015)

一种基于本体语义相似度的协同过滤推荐方法 (Collaborative Filtering Recommendation Algorithm Based on Ontology Semantic Similarity). - Zhengyang Wu 001; Yong Tang 001; Jiaxuan Fang; Haoye Dong (计算机科学, 2015)

VJournaling: Improving the Write Performance of a Virtualized Journaling File System. - Dingding Li; Wande Chen; Zhengyang Wu 001; Hai Liu 006; Yong Tang 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Home appliances classification based on multi-feature using ELM. - Qi Liu 001; Fangpeng Chen; Fenghua Chen; Zhengyang Wu 001; Xiaodong Liu 002; Nigel Linge (Int. J. Sens. Networks, 2018)

Academic Paper Recommendation Method Combining Heterogeneous Network and Temporal Attributes. - Weisheng Li; Chao Chang 002; Chaobo He; Zhengyang Wu 001; Jiongsheng Guo; Bo Peng (ChineseCSCW, 2020)

Exam paper generation based on performance prediction of student group. - Zhengyang Wu 001; Tao He 007; Chenjie Mao; Changqin Huang (Inf. Sci., 2020)

Exercise recommendation based on knowledge concept prediction. - Zhengyang Wu 001; Ming Li 065; Yong Tang 001; Qingyu Liang (Knowl. Based Syst., 2020)

ResConvE: Deeper Convolution-Based Knowledge Graph Embeddings. - Yongxu Long; Zihan Qiu; Dongyang Zheng; Zhengyang Wu 001; Jianguo Li; Yong Tang 001 (ChineseCSCW (2), 2021)

Academic Article Classification Algorithm Based on Pre-trained Model and Keyword Extraction. - Zekai Zhou; Dongyang Zheng; Zihan Qiu; Ronghua Lin; Zhengyang Wu 001; Chengzhe Yuan (ChineseCSCW (2), 2021)

Course Recommendation System Based on SSM Framework. - Qingyu Liang; Zhengyang Wu 001; Ronghua Lin; Li Huang (HCC, 2021)

A Knowledge Tracing Model Based on Graph Attention Mechanism and Incorporating External Features. - Jianwei Cen; Zhengyang Wu 001; Li Huang; Zhanxuan Chen (ChineseCSCW (2), 2022)

SGKT: Session graph-based knowledge tracing for student performance prediction. - Zhengyang Wu 001; Li Huang; Qionghao Huang; Changqin Huang; Yong Tang 001 (Expert Syst. Appl., 2022)

Similarity Metrics and Visualization of Scholars Based on Variational Graph Normalized Auto-Encoders. - Guangtao Zhang; Xiangwei Zeng; Yu Weng; Zhengyang Wu 001 (ChineseCSCW (1), 2023)

A Causality-Based Interpretable Cognitive Diagnosis Model. - Jinwei Zhou; Zhengyang Wu 001; Changzhe Yuan; Lizhang Zeng (ICONIP (3), 2023)

Explainable Multi-type Item Recommendation System Based on Knowledge Graph. - Chao Chang 002; Junming Zhou; Weisheng Li; Zhengyang Wu 001; Jing Gao; Yong Tang 001 (KSEM (3), 2023)

TGKT-Based Personalized Learning Path Recommendation with Reinforcement Learning. - Zhanxuan Chen; Zhengyang Wu 001; Yong Tang 001; Jinwei Zhou (KSEM (3), 2023)

DIRS-KG: a KG-enhanced interactive recommender system based on deep reinforcement learning. - Ronghua Lin; Feiyi Tang; Chaobo He; Zhengyang Wu 001; Chengzhe Yuan; Yong Tang 001 (World Wide Web (WWW), 2023)

KGTN: Knowledge Graph Transformer Network for explainable multi-category item recommendation. - Chao Chang 002; Junming Zhou; Yu Weng; Xiangwei Zeng; Zhengyang Wu 001; Chang-Dong Wang 001; Yong Tang 001 (Knowl. Based Syst., 2023)

ExamGAN and Twin-ExamGAN for Exam Script Generation. - Zhengyang Wu 001; Ke Deng; Judy Qiu; Yong Tang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Popularity-Aware Graph Neural Network with Global Context for Session-Based Recommendation. - Xiangwei Zeng; Chao Chang 002; Feiyi Tang; Zhengyang Wu 001; Yong Tang 001 (WISA, 2024)

Interaction Sequence Temporal Convolutional Based Knowledge Tracing. - Zhanxuan Chen; Zhengyang Wu 001; Qiuying Ye; Yunxuan Lin (ICIC (12), 2024)

MetaGA: Metalearning With Graph-Attention for Improved Long-Tail Item Recommendation. - Bingjun Qin; Zhenhua Huang 001; Zhengyang Wu 001; Cheng Wang 001; Yunwen Chen (IEEE Trans. Comput. Soc. Syst., 2024)

SS4CTR: a semi-supervised framework for enhancing click-through rate prediction in sparse and imbalanced data. - Junming Zhou; Chao Chang 002; Weisheng Li; Ronghua Lin; Zhengyang Wu 001; Yong Tang 001 (World Wide Web (WWW), 2024)

CeKT: Knowledge Tracing for Predicting Collective Performance on Exercise Sequence. - Zetao Zheng; Zhengyang Wu 001; Zahir Tari; Jia Zhu 003; Ke Deng (IEEE Trans. Comput. Soc. Syst., 2024)

Personalized Multi-objective Learning Path Recommendation via Hierarchical Reinforcement Learning and Knowledge Tracing. - Yunxuan Lin; Zhengyang Wu 001; Zetao Zheng (ICIC (12), 2025)

Cross-domain recommendation via knowledge distillation. - Xiuze Li; Zhenhua Huang 001; Zhengyang Wu 001; Chang-Dong Wang 001; Yunwen Chen (Knowl. Based Syst., 2025)

A cross-domain knowledge tracing model based on graph optimal transport. - Zhengyang Wu 001; Yuqi Liu; Jianwei Cen; Zetao Zheng; Guandong Xu (World Wide Web (WWW), 2025)

FedGR: Cross-platform federated group recommendation system with hypergraph neural networks. - Junlong Zeng; Zhenhua Huang 001; Zhengyang Wu 001; Zonggan Chen; Yunwen Chen (J. Intell. Inf. Syst., 2025)