Qian Li

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	All	Since 2019
Citations	798	769
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i10-index	27	25

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Guandong Xu, PhDChair Professor EdUHK, Professor UTSVerified email at uts.edu.au
Shaowu LiuTAL AustraliaVerified email at tal.com.au
Xiangmeng Wang(王香蒙)University of Technology SydneyVerified email at student.uts.edu.au
Gang LiProfessor, Deakin UniversityVerified email at deakin.edu.au
Dianer YuUniversity of Technology SydneyVerified email at student.uts.edu.au
Zhichao Wang (王至超)University of New South Wales, School of Electrical Engineering and TelecommunicationsVerified email at unsw.edu.au
Dung DuongUniversity of Technology SydneyVerified email at student.uts.edu.au
Qing LiProfessor of Educational Technology & Literacy, Towson UniversityVerified email at towson.edu
Yangyang ShuPostdoctoral Research Fellow, University of AdelaideVerified email at adelaide.edu.au
Zhenyu ZhangBaidu Inc.Verified email at baidu.com
zheng fangInstitute of Information Engineering, Chinese Academy of SciencesVerified email at iie.ac.cn
Chuan ZhouAcademy of Mathematics and Systems Science, Chinese Academy of SciencesVerified email at amss.ac.cn
Hongxu ChenCommonwealth Bank of Australia, The University of QueenslandVerified email at cba.com.au
Ren LiPhD student, University of California, IrvineVerified email at uci.edu
Fang FangInstitute of Information Engineering, Chinese Academy of SciencesVerified email at iie.ac.cn
Xianzhi WangUniversity of Technology SydneyVerified email at uts.edu.au
Lingqiao LiuAssociate Professor at the University of AdelaideVerified email at adelaide.edu.au
Jun PangUniversity of LuxembourgVerified email at uni.lu
Peng CuiDepartment of Computer Science, Tsinghua UniversityVerified email at tsinghua.edu.cn
Endong TongBeijing Jiaotong UniversityVerified email at bjtu.edu.cn

Qian Li

Lecturer (Assistant Professor), School of Electrical Engineering, Computing and Mathematical

Verified email at curtin.edu.au - Homepage

Machine Learning Data Mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	112	2019
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	62	2023
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	60	2022
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	56	2020
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	37	2022
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	29	2021
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	27	2021
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	26	2021
Learning with privileged information for photo aesthetic assessment Y Shu, Q Li, S Liu, G Xu Neurocomputing 404, 304-316, 2020	26	2020
Reinforced path reasoning for counterfactual explainable recommendation X Wang, Q Li, D Yu, Q Li, G Xu IEEE Transactions on Knowledge and Data Engineering, 2024	21	2024
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	18	2023
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	18	2019
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	17	2023
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	16	2017
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	14	2022
Prototype-based Counterfactual Explanation for Causal Classification TD Duong, Q Li, G Xu arXiv preprint arXiv:2105.00703, 2021	14	2021
Riemannian submanifold tracking on low-rank algebraic variety Q Li, Z Wang Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	14	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	14	2015
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	13	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	13	2020

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