| Time series classification using multi-channels deep convolutional neural networks Y Zheng, Q Liu, E Chen, Y Ge, JL Zhao International conference on web-age information management, 298-310, 2014 | 836 | 2014 |
| 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 33 (1), 100-115, 2019 | 390 | 2019 |
| Shine: Signed heterogeneous information network embedding for sentiment link prediction H Wang, F Zhang, M Hou, X Xie, M Guo, Q Liu Proceedings of the eleventh ACM international conference on web search and …, 2018 | 375 | 2018 |
| Exploiting multi-channels deep convolutional neural networks for multivariate time series classification Y Zheng, Q Liu, E Chen, Y Ge, JL Zhao Frontiers of Computer Science 10, 96-112, 2016 | 300 | 2016 |
| Enhancing collaborative filtering by user interest expansion via personalized ranking Q Liu, E Chen, H Xiong, CHQ Ding, J Chen IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2011 | 278 | 2011 |
| Personalized travel package recommendation Q Liu, Y Ge, Z Li, E Chen, H Xiong 2011 IEEE 11th international conference on data mining, 407-416, 2011 | 271 | 2011 |
| 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 | 247 | 2018 |
| 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 | 226 | 2020 |
| 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 | 211 | 2018 |
| Motif-based graph self-supervised learning for molecular property prediction Z Zhang, Q Liu, H Wang, C Lu, CK Lee Advances in Neural Information Processing Systems 34, 15870-15882, 2021 | 209 | 2021 |
| 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 | 182 | 2019 |
| A cocktail approach for travel package recommendation Q Liu, E Chen, H Xiong, Y Ge, Z Li, X Wu IEEE Transactions on Knowledge and Data Engineering 26 (2), 278-293, 2012 | 159 | 2012 |
| Hierarchical multi-label text classification: An attention-based recurrent network approach W Huang, E Chen, Q Liu, Y Chen, Z Huang, Y Liu, Z Zhao, D Zhang, ... Proceedings of the 28th ACM international conference on information and …, 2019 | 150 | 2019 |
| Fuzzy cognitive diagnosis for modelling examinee performance Q Liu, R Wu, E Chen, G Xu, Y Su, Z Chen, G Hu ACM Transactions on Intelligent Systems and Technology (TIST) 9 (4), 1-26, 2018 | 150 | 2018 |
| Cost-aware travel tour recommendation Y Ge, Q Liu, H Xiong, A Tuzhilin, J Chen Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 150 | 2011 |
| 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 Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 135 | 2017 |
| 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 | 131 | 2020 |
| Exploiting cognitive structure for adaptive learning Q Liu, S Tong, C Liu, H Zhao, E Chen, H Ma, S Wang Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 131 | 2019 |
| A survey on large language models for recommendation L Wu, Z Zheng, Z Qiu, H Wang, H Gu, T Shen, C Qin, C Zhu, H Zhu, Q Liu, ... arXiv preprint arXiv:2305.19860, 2023 | 129 | 2023 |
| 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 | 128 | 2020 |
Enhong ChenUniversity of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
