Unifying Task-Oriented Knowledge Graph Learning and Recommendation. - Qianyu Li 002; Xiaoli Tang 001; Tengyun Wang; Haizhi Yang; Hengjie Song (IEEE Access, 2019)

Timespan-Aware Dynamic Knowledge Graph Embedding by Incorporating Temporal Evolution. - Xiaoli Tang 001; Rui Yuan; Qianyu Li 002; Tengyun Wang; Haizhi Yang; Yundong Cai; Hengjie Song (IEEE Access, 2020)

Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising. - Haizhi Yang; Tengyun Wang; Xiaoli Tang 001; Qianyu Li 002; Yueyue Shi; Siyu Jiang; Han Yu 001; Hengjie Song (CIKM, 2021)

Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising. - Tengyun Wang; Haizhi Yang; Siyu Jiang; Yueyue Shi; Qianyu Li 002; Xiaoli Tang 001; Han Yu 001; Hengjie Song (Knowl. Based Syst., 2022)

Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion. - Qianyu Li 002; Jiale Yao; Xiaoli Tang 001; Han Yu 001; Siyu Jiang; Haizhi Yang; Hengjie Song (Neural Networks, 2023)

FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization. - Qianyu Li 002; Xiaoli Tang 001; Siyao Zhou 004; Han Yu 001; Hengjie Song; Lizhen Cui; Xiaoxiao Li (ICME, 2024)

Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process. - Qianyu Li 002; Jiebin Chen; Xiaoli Tang 001; Han Yu 001; Hengjie Song (IJCNN, 2024)

MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion. - Qianyu Li 002; Bozheng Feng; Xiaoli Tang 001; Han Yu 001; Hengjie Song (Neural Networks, 2024)