Learning deep representations for graph clustering F Tian, B Gao, Q Cui, E Chen, TY Liu Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 671 | 2014 |
Co-learning of word representations and morpheme representations S Qiu, Q Cui, J Bian, B Gao, TY Liu Proceedings of COLING 2014, the 25th International Conference on …, 2014 | 110 | 2014 |
Kunpeng: Parameter server based distributed learning systems and its applications in alibaba and ant financial J Zhou, X Li, P Zhao, C Chen, L Li, X Yang, Q Cui, J Yu, X Chen, Y Ding, ... Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 46 | 2017 |
Value-aware recommendation based on reinforcement profit maximization C Pei, X Yang, Q Cui, X Lin, F Sun, P Jiang, W Ou, Y Zhang The World Wide Web Conference, 3123-3129, 2019 | 35 | 2019 |
Multi-interactive attention network for fine-grained feature learning in ctr prediction K Zhang, H Qian, Q Cui, Q Liu, L Li, J Zhou, J Ma, E Chen Proceedings of the 14th ACM international conference on web search and data …, 2021 | 28 | 2021 |
KNET: A general framework for learning word embedding using morphological knowledge Q Cui, B Gao, J Bian, S Qiu, H Dai, TY Liu ACM Transactions on Information Systems (TOIS) 34 (1), 1-25, 2015 | 23 | 2015 |
Global optimization for advertisement selection in sponsored search Q Cui, FS Bai, B Gao, TY Liu Journal of Computer Science and Technology 30 (2), 295, 2015 | 22 | 2015 |
PSMART: parameter server based multiple additive regression trees system J Zhou, Q Cui, X Li, P Zhao, S Qu, J Huang Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 19 | 2017 |
Eatn: An efficient adaptive transfer network for aspect-level sentiment analysis K Zhang, Q Liu, H Qian, B Xiang, Q Cui, J Zhou, E Chen IEEE Transactions on Knowledge and Data Engineering 35 (1), 377-389, 2021 | 16 | 2021 |
Value-aware recommendation based on reinforced profit maximization in e-commerce systems C Pei, X Yang, Q Cui, X Lin, F Sun, P Jiang, W Ou, Y Zhang arXiv preprint arXiv:1902.00851, 2019 | 12 | 2019 |
Learning effective word embedding using morphological word similarity Q Cui, B Gao, J Bian, S Qiu, TY Liu arXiv preprint arXiv:1407.1687, 2014 | 9 | 2014 |
Constraint-adaptive rule mining in large databases M Li, YL Zhang, Q Shi, X Yang, Q Cui, L Li, J Zhou Database Systems for Advanced Applications: 26th International Conference …, 2021 | 5 | 2021 |
An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset M Li, L Yu, YL Zhang, X Huang, Q Shi, Q Cui, X Yang, L Li, W Zhu, Y Fang, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 3 | 2022 |
Interpreting Model Predictions with Constrained Perturbation and Counterfactual Instances JP Fang, J Zhou, Q Cui, CZ Tang, LF Li International Journal of Pattern Recognition and Artificial Intelligence 36 …, 2022 | 3 | 2022 |
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding C Tang, H Wang, X Li, Q Cui, YL Zhang, F Zhu, L Li, J Zhou, L Jiang Advances in Neural Information Processing Systems, 2022 | 3 | 2022 |
A Framework for Learning Knowledge-Powered Word Embedding Q Cui, B Gao, J Bian, S Qiu, TY Liu A Framework for Learning Knowledge-Powered Word Embedding, 2014 | 2 | 2014 |
Robust direct learning for causal data fusion X Li, Y Li, Q Cui, L Li, J Zhou Asian Conference on Machine Learning, 611-626, 2023 | 1 | 2023 |
DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay J Zhou, C Tang, Q Cui, Y Ding, L Li, F Wu Companion Proceedings of the ACM Web Conference 2023, 447-451, 2023 | | 2023 |
DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network Y Ding, J Zhou, Q Cui, L Wang, M Zhang, Y Dong Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | | 2023 |
Semi-Supervised Learning with Data Augmentation for Tabular Data J Fang, C Tang, Q Cui, F Zhu, L Li, J Zhou, W Zhu Proceedings of the 31st ACM International Conference on Information …, 2022 | | 2022 |