| Issue Date | Title | Author(s) |
| 2022-12 | Predictive modeling the probability of suffering from metabolic syndrome using machine learning: A population-based study. | Hu, X; Li, X-K; Wen, S; Li, X; Zeng, T-S; Zhang, J-Y; Wang, W; Bi, Y; Zhang, Q; Tian, S-H; Min, J; Wang, Y; Liu, G; Huang, H; Peng, M; Zhang, J; Wu, C; Li, Y-M; Sun, H; Ning, G; Chen, L-L |
| 2023-01-01 | An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters | Jiang, X; Zhang, Q; Shi, C; Wang, S |
| 2022-09-01 | A Hierarchical Attention Network for Cross-Domain Group Recommendation. | Liang, R; Zhang, Q; Wang, J; Lu, J |
| 2022-01-01 | A Deep Dual Adversarial Network for Cross-domain Recommendation | Zhang, Q; Liao, W; Zhang, G; Yuan, B; Lu, J |
| 2022-10-31 | Taming transitive redundancy for context-free language reachability | Lei, Y; Sui, Y; Ding, S; Zhang, Q |
| 2022-01-01 | A Systematical Evaluation for Next-Basket Recommendation Algorithms | Shao, Z; Wang, S; Zhang, Q; Lu, W; Li, Z; Peng, X |
| 2022-08-01 | Meta-ADD: A meta-learning based pre-trained model for concept drift active detection | Yu, H; Zhang, Q; Liu, T; Lu, J; Wen, Y; Zhang, G |
| 2022-01-01 | Modeling User Demand Evolution for Next-basket Prediction | Wang, S; Wang, Y; Hu, L; Zhang, X; Zhang, Q; Sheng, QZ; Orgun, MA; Cao, L; Lian, D |
| 2022-06-01 | DCFGAN: An adversarial deep reinforcement learning framework with improved negative sampling for session-based recommender systems | Zhao, J; Li, H; Qu, L; Zhang, Q; Sun, Q; Huo, H; Gong, M |
| - | Efficient Tree Policy with Attention-Based State Representation for Interactive Recommendation | Shi, L; Zhang, Q; Wang, S; Zhang, Z; Zhou, B; Wu, M; Li, S |
