| 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 AAAI Conference on Artificial Intelligence 34 (04), 6153-6161, 2020 | 278 | 2020 |
| NeuralCD: A General Framework for Cognitive Diagnosis F Wang, Q Liu, E Chen, Z Huang, Y Yin, S Wang, Y Su IEEE Transactions on Knowledge and Data Engineering, 2022 | 59 | 2022 |
| Modeling context-aware features for cognitive diagnosis in student learning Y Zhou, Q Liu, J Wu, F Wang, Z Huang, W Tong, H Xiong, E Chen, J Ma Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 52 | 2021 |
| Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer Y Yin, L Dai, Z Huang, S Shen, F Wang, Q Liu, E Chen, X Li Proceedings of the ACM Web Conference 2023, 855-864, 2023 | 34 | 2023 |
| HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework J Li, F Wang, Q Liu, M Zhu, W Huang, Z Huang, E Chen, Y Su, S Wang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 31 | 2022 |
| Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis W Gao, H Wang, Q Liu, F Wang, X Lin, L Yue, Z Zhang, R Lv, S Wang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 26 | 2023 |
| Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective F Wang, Z Huang, Q Liu, E Chen, Y Yin, J Ma, S Wang IEEE Transactions on Learning Technologies, 2023 | 20 | 2023 |
| The sound of silence: end-to-end sign language recognition using smartwatch Q Dai, J Hou, P Yang, X Li, F Wang, X Zhang Proceedings of the 23rd Annual International Conference on Mobile Computing …, 2017 | 16 | 2017 |
| FairLISA: Fair User Modeling with Limited Sensitive Attributes Information Z Zhang, Q Liu, H Jiang, F Wang, Y Zhuang, L Wu, W Gao, E Chen Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 14 | 2023 |
| Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective J Huang, Q Liu, F Wang, Z Huang, S Fang, R Wu, E Chen, Y Su, S Wang 2021 IEEE International Conference on Data Mining (ICDM), 210-219, 2021 | 13 | 2021 |
| Data driven prediction for the difficulty of mathematical items W Tong, F Wang, Q Liu, E Chen Journal of Computer Research and Development 56 (5), 1007-1019, 2019 | 7 | 2019 |
| A generalized multi-skill aggregation method for cognitive diagnosis S Zhang, S Huang, X Yu, E Chen, F Wang, Z Huang World Wide Web 26 (2), 585-614, 2023 | 6 | 2023 |
| Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm J Li, Q Liu, F Wang, J Liu, Z Huang, F Yao, L Zhu, Y Su Proceedings of the ACM on Web Conference 2024, 3420-3431, 2024 | 4 | 2024 |
| Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing L He, Z Huang, J Liu, E Chen, F Wang, J Sha, S Wang arXiv preprint arXiv:2403.06071, 2024 | 4 | 2024 |
| Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering SL Yu, Q Liu, F Wang, Y Yu, E Chen Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 4 | 2023 |
| Target hierarchy-guided knowledge tracing: Fine-grained knowledge state modeling X Sun, K Zhang, S Shen, F Wang, Y Guo, Q Liu Expert Systems with Applications 251, 123898, 2024 | 2 | 2024 |
| A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions F Wang, W Gao, Q Liu, J Li, G Zhao, Z Zhang, Z Huang, M Zhu, S Wang, ... arXiv preprint arXiv:2407.05458, 2024 | 1 | 2024 |
| A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment F Wang, H Liu, H Bi, X Shen, R Zhu, R Wu, M Lin, T Lv, C Fan, Q Liu, ... arXiv preprint arXiv:2403.08826, 2024 | 1 | 2024 |
| Unified Uncertainty Estimation for Cognitive Diagnosis Models F Wang, Q Liu, E Chen, C Liu, Z Huang, J Wu, S Wang arXiv preprint arXiv:2403.14676, 2024 | 1 | 2024 |
| Long-Term and Short-Term Perception in Knowledge Tracing Z Chen, M Zhu, F Wang, S Shen, Z Huang, Q Liu CCF Conference on Big Data, 1-15, 2023 | 1 | 2023 |
