| Towards Fair Educational Data Mining: A Case Study on Detecting At-Risk Students. Q Hu, H Rangwala International Educational Data Mining Society, 2020 | 89 | 2020 |
| Reliable deep grade prediction with uncertainty estimation Q Hu, H Rangwala Proceedings of the 9th International Conference on Learning Analytics …, 2019 | 53 | 2019 |
| Flirt: Feedback loop in-context red teaming N Mehrabi, P Goyal, C Dupuy, Q Hu, S Ghosh, R Zemel, KW Chang, ... arXiv preprint arXiv:2308.04265, 2023 | 47 | 2023 |
| Evaluating large language models on controlled generation tasks J Sun, Y Tian, W Zhou, N Xu, Q Hu, R Gupta, JF Wieting, N Peng, X Ma arXiv preprint arXiv:2310.14542, 2023 | 46 | 2023 |
| Academic performance estimation with attention-based graph convolutional networks Q Hu, H Rangwala arXiv preprint arXiv:2001.00632, 2019 | 46 | 2019 |
| Course-specific markovian models for grade prediction Q Hu, H Rangwala Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 30 | 2018 |
| Enriching course-specific regression models with content features for grade prediction Q Hu, A Polyzou, G Karypis, H Rangwala 2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017 | 30 | 2017 |
| Metric-free individual fairness with cooperative contextual bandits Q Hu, H Rangwala 2020 IEEE International Conference on Data Mining (ICDM), 182-191, 2020 | 18 | 2020 |
| Resolving ambiguities in text-to-image generative models N Mehrabi, P Goyal, A Verma, J Dhamala, V Kumar, Q Hu, KW Chang, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 10 | 2023 |
| Is the elephant flying? resolving ambiguities in text-to-image generative models N Mehrabi, P Goyal, A Verma, J Dhamala, V Kumar, Q Hu, KW Chang, ... arXiv preprint arXiv:2211.12503, 2022 | 8 | 2022 |
| Contrastive knowledge graph attention network for request-based recipe recommendation X Ma, Z Gao, Q Hu, M Abdelhady ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 8 | 2022 |
| Can small language models help large language models reason better?: LM-guided chain-of-thought J Lee, F Yang, T Tran, Q Hu, E Barut, KW Chang, C Su arXiv preprint arXiv:2404.03414, 2024 | 7 | 2024 |
| 2022 International Joint Conference on Neural Networks (IJCNN) X Ma, Q Hu, Z Gao, M AbdelHady | 6 | 2022 |
| Toward informal language processing: Knowledge of slang in large language models Z Sun, Q Hu, R Gupta, R Zemel, Y Xu arXiv preprint arXiv:2404.02323, 2024 | 5 | 2024 |
| Two-stage voice application recommender system for unhandled utterances in intelligent personal assistant W Xiao, Q Hu, T Mohamed, Z Gao, X Gao, R Arava, M AbdelHady Frontiers in big Data 5, 898050, 2022 | 4 | 2022 |
| Collaborative data relabeling for robust and diverse voice apps recommendation in intelligent personal assistants Q Hu, T Mohamed, W Xiao, Z Gao, X Gao, R Arava, X Ma, M AbdelHady Proceedings of the 3rd Workshop on Natural Language Processing for …, 2021 | 4 | 2021 |
| HCL: Hybrid contrastive learning for graph-based recommendation X Ma, Z Gao, Q Hu, M AbdelHady 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 3 | 2022 |
| Contrastive co-training for diversified recommendation X Ma, Q Hu, Z Gao, M AbdelHady 2022 International Joint Conference on Neural Networks (IJCNN), 1-9, 2022 | 2 | 2022 |
| FROST: Fallback voice apps recommendation for unhandled voice commands in intelligent personal assistants Q Hu, T Mohamed, W Xiao, X Ma, X Gao, Z Gao, R Arava, M AbdelHady Frontiers in big Data 5, 867251, 2022 | 2 | 2022 |
| Graphire: Novel intent discovery with pretraining on prior knowledge using contrastive learning X Gao, R Arava, Q Hu, T Mohamed, W Xiao, Z Gao, M AbdelHady | 2 | 2021 |
