Qian Li

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Guandong Xu, PhDProfessor in Data Science, University of Technology SydneyVerified email at uts.edu.au
Shaowu LiuVerified email at cba.com.au
Gang LiProfessor, Deakin UniversityVerified email at deakin.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
Xiangmeng WangUniversity of Technology SydneyVerified email at student.uts.edu.au
Dianer YuUniversity of Technology SydneyVerified email at uts.edu.au
Yangyang ShuPostdoctoral Research Fellow, University of AdelaideVerified email at adelaide.edu.au
Zhenyu Zhang (张振宇)Baidu Inc.Verified email at baidu.com
zheng fangInstitute of Information Engineering, Chinese Academy of SciencesVerified email at iie.ac.cn
Xianzhi WangUniversity of Technology SydneyVerified email at uts.edu.au
Endong TongBeijing Jiaotong UniversityVerified email at bjtu.edu.cn
Jun PangUniversity of LuxembourgVerified email at uni.lu
Wu ZhiangProfessor of Nanjing Audit UniversityVerified email at seu.edu.cn
Ren LiUniversity of Chinese Academy of SciencesVerified email at mails.ucas.edu.cn
Peng CuiDepartment of Computer Science, Tsinghua UniversityVerified email at tsinghua.edu.cn
Chang XuSenior Lecturer, University of SydneyVerified email at sydney.edu.au
Sjouke MauwProfessor in Security and Trust of Software Systems, University of LuxembourgVerified email at uni.lu
Dingxian WangEtsyVerified email at etsy.com
Lingqiao LiuSenior Lecturer of the University of AdelaideVerified email at adelaide.edu.au

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	77	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	31	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	19	2021
Learning with privileged information for photo aesthetic assessment Y Shu, Q Li, S Liu, G Xu Neurocomputing 404, 304-316, 2020	19	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	18	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	16	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	15	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	15	2017
Riemannian submanifold tracking on low-rank algebraic variety Q Li, Z Wang Thirty-First AAAI Conference on Artificial Intelligence, 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
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	10	2021
Stochastic Intervention for Causal Effect Estimation TD Duong, Q Li, G Xu IJCNN 2021: International Joint Conference on Neural Networks, 2021	10	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	10	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	9	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	9	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	8	2021
Prototype-based Counterfactual Explanation for Causal Classification TD Duong, Q Li, G Xu arXiv preprint arXiv:2105.00703, 2021	8	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	8	2020
Deep treatment-adaptive network for causal inference Q Li, Z Wang, S Liu, G Li, G Xu The VLDB Journal, 1-16, 2022	6	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	6	2021

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