| EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction Q Liu, Z Huang, Y Yin, E Chen, H Xiong, Y Su, G Hu IEEE Transactions on Knowledge and Data Engineering, 2019 | 454 | 2019 |
| Neural Cognitive Diagnosis for Intelligent Education Systems F Wang, Q Liu, E Chen, Z Huang, Y Chen, Y Yin, Z Huang, S Wang Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020 | 280 | 2020 |
| Exercise-enhanced sequential modeling for student performance prediction Y Su, Q Liu, Q Liu, Z Huang, Y Yin, E Chen, C Ding, S Wei, G Hu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 279 | 2018 |
| Learning from history and present: Next-item recommendation via discriminatively exploiting user behaviors Z Li, H Zhao, Q Liu, Z Huang, T Mei, E Chen Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 234 | 2018 |
| Molecular property prediction: A multilevel quantum interactions modeling perspective C Lu, Q Liu, C Wang, Z Huang, P Lin, L He Proceedings of the AAAI conference on artificial intelligence 33 (01), 1052-1060, 2019 | 214 | 2019 |
| ASGN: An active semi-supervised graph neural network for molecular property prediction Z Hao, C Lu, Z Huang, H Wang, Z Hu, Q Liu, E Chen, C Lee Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 156 | 2020 |
| A survey of knowledge tracing Q Liu, S Shen, Z Huang, E Chen, Y Zheng arXiv preprint arXiv:2105.15106, 2021 | 152 | 2021 |
| Convolutional knowledge tracing: Modeling individualization in student learning process S Shen, Q Liu, E Chen, H Wu, Z Huang, W Zhao, Y Su, H Ma, S Wang Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 150 | 2020 |
| Question Difficulty Prediction for READING Problems in Standard Tests Z Huang, Q Liu, E Chen, H Zhao, M Gao, S Wei, Y Su, G Hu Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 144 | 2017 |
| Exploring multi-objective exercise recommendations in online education systems Z Huang, Q Liu, C Zhai, Y Yin, E Chen, W Gao, G Hu Proceedings of the 28th ACM International Conference on Information and …, 2019 | 128 | 2019 |
| Learning process-consistent knowledge tracing S Shen, Q Liu, E Chen, Z Huang, W Huang, Y Yin, Y Su, S Wang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 120 | 2021 |
| RCD: Relation map driven cognitive diagnosis for intelligent education systems W Gao, Q Liu, Z Huang, Y Yin, H Bi, MC Wang, J Ma, S Wang, Y Su Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 117 | 2021 |
| Dirt: Deep learning enhanced item response theory for cognitive diagnosis S Cheng, Q Liu, E Chen, Z Huang, Z Huang, Y Chen, H Ma, G Hu Proceedings of the 28th ACM international conference on information and …, 2019 | 115 | 2019 |
| Structure-based knowledge tracing: An influence propagation view S Tong, Q Liu, W Huang, Z Hunag, E Chen, C Liu, H Ma, S Wang 2020 IEEE international conference on data mining (ICDM), 541-550, 2020 | 109 | 2020 |
| Learning or forgetting? A dynamic approach for tracking the knowledge proficiency of students Z Huang, Q Liu, Y Chen, L Wu, K Xiao, E Chen, H Ma, G Hu ACM Transactions on Information Systems (TOIS) 38 (2), 1-33, 2020 | 109 | 2020 |
| Tracking knowledge proficiency of students with educational priors Y Chen, Q Liu, Z Huang, L Wu, E Chen, R Wu, Y Su, G Hu Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 96 | 2017 |
| Finding similar exercises in online education systems Q Liu, Z Huang, Z Huang, C Liu, E Chen, Y Su, G Hu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 92 | 2018 |
| Graph convolutional adversarial networks for spatiotemporal anomaly detection L Deng, D Lian, Z Huang, E Chen IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2416-2428, 2022 | 86 | 2022 |
| Hierarchical personalized federated learning for user modeling J Wu, Q Liu, Z Huang, Y Ning, H Wang, E Chen, J Yi, B Zhou Proceedings of the Web Conference 2021, 957-968, 2021 | 86 | 2021 |
| Graphmi: Extracting private graph data from graph neural networks Z Zhang, Q Liu, Z Huang, H Wang, C Lu, C Liu, E Chen arXiv preprint arXiv:2106.02820, 2021 | 74 | 2021 |
Enhong ChenUniversity of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
