| Efficiently measuring the cognitive ability of llms: An adaptive testing perspective Y Zhuang, Q Liu, Y Ning, W Huang, R Lv, Z Huang, G Zhao, Z Zhang, ... arXiv preprint arXiv:2306.10512, 2023 | 38 | 2023 |
| 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 |
| 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 |
| Understanding and improving fairness in cognitive diagnosis Z Zhang, L Wu, Q Liu, J Liu, Z Huang, Y Yin, Y Zhuang, W Gao, E Chen Science China Information Sciences 67 (5), 152106, 2024 | 11 | 2024 |
| Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling Z Zhang, Q Liu, Z Hu, Y Zhan, Z Huang, W Gao, Q Mao Proceedings of the ACM on Web Conference 2024, 3241-3252, 2024 | 4 | 2024 |
| CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework R Li, L He, Q Liu, Y Zhao, Z Zhang, Z Huang, Y Su, S Wang Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8679-8687, 2024 | 4 | 2024 |
| Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation Q Mao, Q Liu, Z Li, L Wu, B Lv, Z Zhang Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 1 | 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 |
| Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives W Gao, Q Liu, H Wang, L Yue, H Bi, Y Gu, F Yao, Z Zhang, X Li, Y He arXiv preprint arXiv:2312.13434, 2023 | 1 | 2023 |
| Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling W Gao, Q Liu, L Yue, F Yao, H Wang, Y Gu, Z Zhang arXiv preprint arXiv:2411.02066, 2024 | | 2024 |
| Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models R Li, Q Liu, L He, Z Zhang, H Zhang, S Ye, J Lu, Z Huang Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | | 2024 |
| Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective Z Hu, Z Zhang, W Feng, Q Liu International Conference on Knowledge Science, Engineering and Management …, 2024 | | 2024 |
| Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework Z Hu, Z Zhang, Q Liu, H Bi, Z Huang, Q Mao, W Gao, W Feng International Conference on Database Systems for Advanced Applications, 139-155, 2024 | | 2024 |
| Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation Z Zhang, W Song, Q Liu, Q Mao, Y Wang, W Gao, Z Huang, S Wang, ... The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
Weibo GaoUniversity of Science and Technology of China在 mail.ustc.edu.cn 的电子邮件经过验证
