| Fuzzy Bayesian knowledge tracing F Liu, X Hu, C Bu, K Yu IEEE Transactions on Fuzzy Systems 30 (7), 2412-2425, 2021 | 31 | 2021 |
| A Q-learning algorithm for task scheduling based on improved SVM in wireless sensor networks Z Wei, F Liu, Y Zhang, J Xu, J Ji, Z Lyu Computer Networks 161, 138-149, 2019 | 31 | 2019 |
| K-CHRA: A clustering hierarchical routing algorithm for wireless rechargeable sensor networks Z Wei, F Liu, X Ding, L Feng, Z Lyu, L Shi, J Ji IEEE Access 7, 81859-81874, 2018 | 29 | 2018 |
| Reinforcement learning for a novel mobile charging strategy in wireless rechargeable sensor networks Z Wei, F Liu, Z Lyu, X Ding, L Shi, C Xia Wireless Algorithms, Systems, and Applications: 13th International …, 2018 | 28 | 2018 |
| 教育大数据中认知跟踪模型研究进展 胡学钢， 刘菲， 卜晨阳 计算机研究与发展 57 (12), 2523-2546, 2020 | 18* | 2020 |
| Disentangling cognitive diagnosis with limited exercise labels X Chen, L Wu, F Liu, L Chen, K Zhang, R Hong, M Wang Advances in Neural Information Processing Systems 36, 2024 | 16 | 2024 |
| Cognitive diagnostic model made more practical by genetic algorithm C Bu, F Liu, Z Cao, L Li, Y Zhang, X Hu, W Luo IEEE Transactions on Emerging Topics in Computational Intelligence 7 (2 …, 2022 | 11 | 2022 |
| Mmiea: Multi-modal interaction entity alignment model for knowledge graphs B Zhu, M Wu, Y Hong, Y Chen, B Xie, F Liu, C Bu, W Ding Information Fusion 100, 101935, 2023 | 10 | 2023 |
| A multi-grouped ls-svm method for short-term urban traffic flow prediction F Liu, Z Wei, Z Huang, Y Lu, X Hu, L Shi 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 10 | 2019 |
| Meta multi-agent exercise recommendation: A game application perspective F Liu, X Hu, S Liu, C Bu, L Wu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| Automatic graph learning with evolutionary algorithms: An experimental study C Bu, Y Lu, F Liu Pacific Rim International Conference on Artificial Intelligence, 513-526, 2021 | 7 | 2021 |
| Dagkt: Difficulty and attempts boosted graph-based knowledge tracing R Luo, F Liu, W Liang, Y Zhang, C Bu, X Hu International Conference on Neural Information Processing, 255-266, 2022 | 6 | 2022 |
| APGKT: Exploiting associative path on skills graph for knowledge tracing H Zhang, C Bu, F Liu, S Liu, Y Zhang, X Hu Pacific Rim International Conference on Artificial Intelligence, 353-365, 2022 | 6 | 2022 |
| FDKT: Towards an interpretable deep knowledge tracing via fuzzy reasoning F Liu, C Bu, H Zhang, L Wu, K Yu, X Hu ACM Transactions on Information Systems 42 (5), 1-26, 2024 | 4 | 2024 |
| Genetic algorithm for bayesian knowledge tracing: A practical application S Sun, X Hu, C Bu, F Liu, Y Zhang, W Luo International conference on sensing and imaging, 282-293, 2022 | 4 | 2022 |
| A novel mixed-variable fireworks optimization algorithm for path and time sequence optimization in WRSNs C Xia, Z Wei, Z Lyu, L Wang, F Liu, L Feng Communications and Networking: 13th EAI International Conference, ChinaCom …, 2019 | 3 | 2019 |
| Evolutionary algorithms with heuristic gradient-based repair for constrained optimization J Du, C Bu, Y Liu, F Liu, W Luo 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 2 | 2022 |
| EduStudio: towards a unified library for student cognitive modeling L Wu, X Chen, F Liu, J Xie, C Xia, Z Tan, M Tian, J Li, K Zhang, D Lian, ... Frontiers of Computer Science 19 (8), 198342, 2025 | | 2025 |
| LocalDGP: local degree-balanced graph partitioning for lightweight GNNs S Ji, S Li, F Liu, Q Xu Applied Intelligence 55 (2), 1-19, 2025 | | 2025 |
| Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis F Liu, Y Zhang, S Liu, S Ji, K Yu, L Wu arXiv preprint arXiv:2412.05004, 2024 | | 2024 |
