| A semi-supervised model for knowledge graph embedding J Zhu, Z Zheng, M Yang, GPC Fung, Y Tang Data Mining and Knowledge Discovery 34, 1-20, 2020 | 15 | 2020 |
| Protein complexes detection based on semi-supervised network embedding model J Zhu, Z Zheng, M Yang, GPC Fung, C Huang IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (2 …, 2019 | 14 | 2019 |
| Learning from interpretable analysis: Attention-based knowledge tracing J Zhu, W Yu, Z Zheng, C Huang, Y Tang, GPC Fung International Conference on Artificial Intelligence in Education, 364-368, 2020 | 12 | 2020 |
| What is wrong with deep knowledge tracing? Attention-based knowledge tracing X Wang, Z Zheng, J Zhu, W Yu Applied Intelligence 53 (3), 2850-2861, 2023 | 11 | 2023 |
| A keyword-based scholar recommendation framework for biomedical literature F Yang, J Zhu, J Lun, Z Zheng, Y Tang, J Wu 2018 IEEE 22nd International Conference on Computer Supported Cooperative …, 2018 | 10 | 2018 |
| Who is the abnormal user: Anomaly detection framework based on the graph convolutional networks Z Zheng, J Zhu, Y Tang, J Du Web and Big Data: Third International Joint Conference, APWeb-WAIM 2019 …, 2019 | 3 | 2019 |
| Deep Reinforcement Learning for Stock Trading with Behavioral Finance Strategy S Deng, Z Zheng, H He, J Shao International Conference on Advanced Data Mining and Applications, 535-549, 2023 | | 2023 |
| Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction Z Zheng, J Shao, J Zhu, HT Shen 2023 IEEE 39th International Conference on Data Engineering (ICDE), 123-136, 2023 | | 2023 |
