Tongliang Liu - Google Scholar

Cited by

	All	Since 2015
Citations	2703	2700
h-index	28	28
i10-index	48	48

820

410

205

615

20152016201720182019202043 264 362 601 820 597

Co-authors

Dacheng TaoThe University of SydneyVerified email at sydney.edu.au
Mingming GongThe University of MelbourneVerified email at unimelb.edu.au
Yong LuoNanyang Technological UniversityVerified email at ntu.edu.sg
Chen GongNanjing University of Science and TechnologyVerified email at sjtu.edu.cn
Xinmei TianUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
Kun ZhangCarnegie Mellon University & Max-Planck Institute for Intelligent SystemsVerified email at cmu.edu
Xiyu YuThe University of SydneyVerified email at uni.sydney.edu.au
Erkun YangUniversity of North Carolina at Chapel HillVerified email at med.unc.edu
Cheng Deng （邓成）School of Electronic Engineering, Xi'an 710071, Xidian UniversityVerified email at mail.xidian.edu.cn
Jie GuiUniversity of MichiganVerified email at ustc.edu
Xinchao WangStevens Institute of TechnologyVerified email at stevens.edu
Kede MaAssistant Professor of Computer Science, City University of Hong KongVerified email at cityu.edu.hk
Zhou WangProfessor, Electrical and Computer Engineering, University of WaterlooVerified email at ece.uwaterloo.ca
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at postman.riken.jp
Bo HanHKBU / RIKENVerified email at comp.hkbu.edu.hk
Hongfu LiuAssistant Professor of Computer Science, Brandeis UniversityVerified email at brandeis.edu
Wei LiuTencentVerified email at ee.columbia.edu
Wen Gao（高文）Professor of Computer Science, Peking UniversityVerified email at pku.edu.cn
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Yonggang WenFIEEE, Professor, Nanyang Technological University SingaporeVerified email at ntu.edu.sg

Tongliang Liu

Lecturer (Assistant Professor) at University of Sydney and Visiting Scientist at RIKEN AIP

Verified email at sydney.edu.au - Homepage

Machine Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Classification with noisy labels by importance reweighting T Liu, D Tao IEEE Transactions on pattern analysis and machine intelligence 38 (3), 447-461, 2016	355	2016
Domain adaptation with conditional transferable components M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf International conference on machine learning, 2839-2848, 2016	133	2016
On compressing deep models by low rank and sparse decomposition X Yu, T Liu, X Wang, D Tao CVPR, 7370-7379, 2017	125	2017
Multiview matrix completion for multilabel image classification Y Luo, T Liu, D Tao, C Xu IEEE Transactions on Image Processing 24 (8), 2355-2368, 2015	114	2015
Fast supervised discrete hashing J Gui, T Liu, Z Sun, D Tao, T Tan IEEE transactions on pattern analysis and machine intelligence 40 (2), 490-496, 2017	110	2017
dipIQ: Blind image quality assessment by learning-to-rank discriminable image pairs K Ma, W Liu, T Liu, Z Wang, D Tao IEEE Transactions on Image Processing 26 (8), 3951-3964, 2017	105	2017
Decomposition-based transfer distance metric learning for image classification Y Luo, T Liu, D Tao, C Xu IEEE Trans. Image Processing 23 (9), 3789-3801, 2014	101	2014
Algorithm-dependent generalization bounds for multi-task learning T Liu, D Tao, M Song, SJ Maybank IEEE transactions on pattern analysis and machine intelligence 39 (2), 227-241, 2016	98	2016
Spectral ensemble clustering H Liu, T Liu, J Wu, D Tao, Y Fu KDD, 715-724, 2015	92	2015
Deformed graph Laplacian for semisupervised learning C Gong, T Liu, D Tao, K Fu, E Tu, J Yang IEEE transactions on neural networks and learning systems 26 (10), 2261-2274, 2015	86	2015
Spectral ensemble clustering via weighted k-means: Theoretical and practical evidence H Liu, J Wu, T Liu, D Tao, Y Fu IEEE transactions on knowledge and data engineering 29 (5), 1129-1143, 2017	78	2017
On the performance of manhattan nonnegative matrix factorization T Liu, D Tao IEEE transactions on neural networks and learning systems 27 (9), 1851-1863, 2015	78	2015
Local rademacher complexity for multi-label learning C Xu, T Liu, D Tao, C Xu IEEE Transactions on Image Processing 25 (3), 1495-1507, 2016	71	2016
Multiple Kernel -Means with Incomplete Kernels X Liu, X Zhu, M Li, L Wang, E Zhu, T Liu, M Kloft, D Shen, J Yin, W Gao IEEE transactions on pattern analysis and machine intelligence 42 (5), 1191-1204, 2019	61	2019
Large-cone nonnegative matrix factorization T Liu, M Gong, D Tao IEEE transactions on neural networks and learning systems 28 (9), 2129-2142, 2016	57	2016
Deep domain generalization via conditional invariant adversarial networks Y Li, X Tian, M Gong, Y Liu, T Liu, K Zhang, D Tao Proceedings of the European Conference on Computer Vision (ECCV), 624-639, 2018	55	2018
Joint sparse representation and multitask learning for hyperspectral target detection Y Zhang, B Du, L Zhang, T Liu IEEE Transactions on Geoscience and Remote Sensing 55 (2), 894-906, 2016	55	2016
Representative vector machines: A unified framework for classical classifiers J Gui, T Liu, D Tao, Z Sun, T Tan IEEE transactions on cybernetics 46 (8), 1877-1888, 2015	48	2015
A regularization approach for instance-based superset label learning C Gong, T Liu, Y Tang, J Yang, J Yang, D Tao IEEE transactions on cybernetics 48 (3), 967-978, 2017	45	2017
Dimensionality-Dependent Generalization Bounds for K-Dimensional Coding Schemes T Liu, D Tao, D Xu Neural Computation 28 (10), 2213-2249, 2016	45	2016

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