Showing results 21 to 40 of 56
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| Issue Date | Title | Author(s) |
| 2021 | Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data | Zhang, Q; Cao, L; Shi, C; Hu, L |
| 2020-09-01 | The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning | Wang, S; Pasi, G; Hu, L; Cao, L |
| 2020-05-30 | Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation | Wang, S; Cao, L; Hu, L; Berkovsky, S; Huang, X; Xiao, L; Lu, W |
| 2020-05 | Enhanced Power Conversion Efficiency via Hybrid Ligand Exchange Treatment of p-Type PbS Quantum Dots. | Teh, ZL; Hu, L; Zhang, Z; Gentle, AR; Chen, Z; Gao, Y; Yuan, L; Hu, Y; Wu, T; Patterson, RJ; Huang, S |
| 2020-04-22 | Graph Learning Approaches to Recommender Systems: A Review | Wang, S; Hu, L; Wang, Y; He, X; Sheng, QZ; Orgun, M; Cao, L; Wang, N; Ricci, F; Yu, PS |
| 2020-04-03 | Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction | Wang, S; Hu, L; Wang, Y; Sheng, QZ; Orgun, M; Cao, L |
| 2020-01-01 | Intention2Basket: A neural intention-driven approach for dynamic next-basket planning | Wang, S; Hu, L; Wang, Y; Sheng, QZ; Orgun, M; Cao, L |
| 2020-01-01 | Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation | Wang, S; Cao, L; Hu, L; Berkovsky, S; Huang, X; Xiao, L; Lu, W |
| 2019-12-28 | Sequential Recommender Systems: Challenges, Progress and Prospects | Wang, S; Hu, L; Wang, Y; Cao, L; Sheng, QZ; Orgun, M |
| 2019 | HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation | Cao, L; Hu, L; Jian, S; Gu, Z; Chen, Q; Amirbekyan, A |
| 2019 | Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content | Cao, L; Jian, S; Hu, L; Lu, K; Gao, H |
| 2019 | Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis | Hu, L; Chen, Q; Cao, L; Jian, S; Zhao, H; Cao, J |
| 2018-11-01 | Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context | Hu, L; Chen, Q; Zhao, H; Jian, S; Cao, L; Cao, J |
| 2018-07-01 | FastPM: An approach to pattern matching via distributed stream processing | Yang, D; Guo, J; Wang, ZJ; Wang, Y; Zhang, J; Hu, L; Yin, J; Cao, J |
| 2018-05-01 | Xueshuantong Injection (Lyophilized) Attenuates Cerebral Ischemia/Reperfusion Injury by the Activation of Nrf2–VEGF Pathway | Guo, H; Adah, D; James, PB; Liu, Q; Li, G; Ahmadu, P; Chai, L; Wang, S; Liu, Y; Hu, L |
| 2018-01-01 | Investigating Effects of Particle Scaling for Cavity Expansion Simulation Using Discrete Element Method | Dong, Y; Fatahi, B; Khabbaz, H; Kamruzzaman, AHM; Zhou, A; Tao, J; Gu, X; Hu, L |
| 2018-01-01 | Attention-based transactional context embedding for next-item recommendation | Wang, S; Hu, L; Cao, L; Huang, X; Lian, D; Liu, W |
| 2018-01-01 | Interpretable recommendation via attraction modeling: Learning multilevel attractiveness over multimodal movie contents | Hu, L; Jian, S; Cao, L; Chen, Q |
| 2018-01-01 | Metric-based auto-instructor for learning mixed data representation | Jian, S; Hu, L; Cao, L; Lu, K |
| 2017-12-15 | Recent advances on state estimation for power grids with unconventional measurements | Hu, L; Wang, Z; Liu, X; Vasilakos, AV; Alsaadi, FE |
