Qing Cui
Cited by
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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
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
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
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
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
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
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
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
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
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
Learning effective word embedding using morphological word similarity
Q Cui, B Gao, J Bian, S Qiu, TY Liu
arXiv preprint arXiv:1407.1687, 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
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
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
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
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
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
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
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
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
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