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Qian Li
Qian Li
Lecturer (Assistant Professor), School of Electrical Engineering, Computing and Mathematical
Подтвержден адрес электронной почты в домене curtin.edu.au - Главная страница
Название
Процитировано
Процитировано
Год
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
1112019
Be causal: De-biasing social network confounding in recommendation
Q Li, X Wang, Z Wang, G Xu
ACM Transactions on Knowledge Discovery from Data 17 (1), 1-23, 2023
742023
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
682022
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
602020
Causal disentanglement for semantic-aware intent learning in recommendation
X Wang, Q Li, D Yu, P Cui, Z Wang, G Xu
IEEE Transactions on Knowledge and Data Engineering 35 (10), 9836-9849, 2022
432022
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 34 (8), 4083-4095, 2021
312021
Learning with privileged information for photo aesthetic assessment
Y Shu, Q Li, S Liu, G Xu
Neurocomputing 404, 304-316, 2020
302020
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, 85-103, 2021
282021
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
262021
Reinforced path reasoning for counterfactual explainable recommendation
X Wang, Q Li, D Yu, Q Li, G Xu
IEEE Transactions on Knowledge and Data Engineering 36 (7), 3443-3459, 2024
232024
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
232019
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning
H Yang, H Chen, S Zhang, X Sun, Q Li, X Zhao, G Xu
Proceedings of the ACM Web Conference 2023, 621-629, 2023
222023
Deconfounded recommendation via causal intervention
D Yu, Q Li, X Wang, G Xu
Neurocomputing 529, 128-139, 2023
182023
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, 836-851, 2017
182017
SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation
B Li, T Guo, X Zhu, Q Li, Y Wang, F Chen
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
172023
Deep treatment-adaptive network for causal inference
Q Li, Z Wang, S Liu, G Li, G Xu
The VLDB Journal 31 (5), 1127-1142, 2022
162022
Semi-supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment
Y Shu, Q Li, L Liu, G Xu
IEEE Transactions on Multimedia, 2021
142021
Prototype-based Counterfactual Explanation for Causal Classification
TD Duong, Q Li, G Xu
arXiv preprint arXiv:2105.00703, 2021
142021
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
142015
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
132021
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