Qian Li
Qian Li
Lecturer (Assistant Professor), School of Electrical Engineering, Computing and Mathematical
Verified email at - Homepage
Cited by
Cited by
Joint entity linking with deep reinforcement learning
Z Fang, Y Cao, Q Li, D Zhang, Z Zhang, Y Liu
The World Wide Web Conference, 438-447, 2019
Causality Learning: A New Perspective for Interpretable Machine Learning
G Xu, TD Duong, Q Li, S Liu, X Wang
The IEEE Intelligent Informatics Bulletin 20, 2020
RLINK: Deep reinforcement learning for user identity linkage
X Li, Y Cao, Q Li, Y Shang, Y Li, Y Liu, G Xu
World Wide Web 24 (1), 85-103, 2021
Learning with privileged information for photo aesthetic assessment
Y Shu, Q Li, S Liu, G Xu
Neurocomputing 404, 304-316, 2020
Be causal: De-biasing social network confounding in recommendation
Q Li, X Wang, Z Wang, G Xu
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Leveraging multi-level dependency of relational sequences for social spammer detection
J Yin, Q Li, S Liu, Z Wu, G Xu
Neurocomputing 428, 130-141, 2021
Polynomial representation for persistence diagram
Z Wang, Q Li, G Li, G Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Boosting imbalanced data learning with Wiener process oversampling
Q Li, G Li, W Niu, Y Cao, L Chang, J Tan, L Guo
Frontiers of Computer Science 11 (5), 836-851, 2017
Riemannian submanifold tracking on low-rank algebraic variety
Q Li, Z Wang
Thirty-First AAAI Conference on Artificial Intelligence, 2017
Lingo: linearized grassmannian optimization for nuclear norm minimization
Q Li, W Niu, G Li, Y Cao, J Tan, L Guo
Proceedings of the 24th ACM International on Conference on Information and …, 2015
Causal Optimal Transport for Treatment Effect Estimation
Q Li, Z Wang, S Liu, G Li, G Xu
IEEE Transactions on Neural Networks and Learning Systems, 2021
Stochastic Intervention for Causal Effect Estimation
TD Duong, Q Li, G Xu
IJCNN 2021: International Joint Conference on Neural Networks, 2021
A cooperative construction approach for SaaS applications
Q Li, S Liu, Y Pan
Proceedings of the 2012 IEEE 16th International Conference on Computer …, 2012
How does knowledge graph embedding extrapolate to unseen data: a semantic evidence view
R Li, Y Cao, Q Zhu, G Bi, F Fang, Y Liu, Q Li
Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5781-5791, 2022
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation
X Wang, Q Li, D Yu, P Cui, Z Wang, G Xu
IEEE Transactions on Knowledge and Data Engineering, 2022
Hilbert Sinkhorn Divergence for Optimal Transport
Q Li, Z Wang, G Li, J Pang, G Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Prototype-based Counterfactual Explanation for Causal Classification
TD Duong, Q Li, G Xu
arXiv preprint arXiv:2105.00703, 2021
Joint Relational Dependency Learning for Sequential Recommendation
X Wang, Q Li, W Zhang, G Xu, S Liu, W Zhu
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 168-180, 2020
Deep treatment-adaptive network for causal inference
Q Li, Z Wang, S Liu, G Li, G Xu
The VLDB Journal, 1-16, 2022
V-svr+: Support vector regression with variational privileged information
Y Shu, Q Li, C Xu, S Liu, G Xu
IEEE Transactions on Multimedia 24, 876-889, 2021
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