| 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 | 790 | 2014 |
| 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 | 345 | 2018 |
| 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 | 316 | 2019 |
| 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 | 277 | 2011 |
| 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 | 271 | 2016 |
| 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 | 261 | 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 | 217 | 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 | 195 | 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 | 181 | 2020 |
| 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 | 159 | 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 |
| 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 |
| 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 | 138 | 2021 |
| 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 | 126 | 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 | 126 | 2018 |
| 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 | 122 | 2017 |
| Influence maximization over large-scale social networks: A bounded linear approach Q Liu, B Xiang, E Chen, H Xiong, F Tang, JX Yu Proceedings of the 23rd ACM international conference on conference on …, 2014 | 116 | 2014 |
| 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 | 111 | 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 | 111 | 2019 |
| Modeling the evolution of users’ preferences and social links in social networking services L Wu, Y Ge, Q Liu, E Chen, R Hong, J Du, M Wang IEEE Transactions on Knowledge and Data Engineering 29 (6), 1240-1253, 2017 | 109 | 2017 |
Enhong ChenUniversity of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
