Tongliang Liu

Cited by

	All	Since 2016
Citations	3637	3575
h-index	34	34
i10-index	61	61

1300

650

325

975

201520162017201820192020202143 270 365 594 791 1296 232

Co-authors

Dacheng TaoThe University of SydneyVerified email at sydney.edu.au
Mingming GongThe University of MelbourneVerified email at unimelb.edu.au
Bo HanHKBU / RIKENVerified email at comp.hkbu.edu.hk
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at postman.riken.jp
Chen GongNanjing University of Science and TechnologyVerified email at sjtu.edu.cn
Yong LuoNanyang Technological UniversityVerified email at ntu.edu.sg
Kun ZhangCarnegie Mellon University & Max-Planck Institute for Intelligent SystemsVerified email at cmu.edu
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Xinmei TianUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
Cheng Deng （邓成）School of Electronic Engineering, Xi'an 710071, Xidian UniversityVerified email at mail.xidian.edu.cn
Xiyu YuBaiduVerified email at uni.sydney.edu.au
Ya LiUSTCVerified email at mail.ustc.edu.cn
Erkun YangUniversity of North Carolina at Chapel HillVerified email at med.unc.edu
Nannan WangProfessor, Xidian UniversityVerified email at xidian.edu.cn
Tieniu TanInstitute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Jie GuiSoutheast UniversityVerified 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 uwaterloo.ca
Wei LiuTencentVerified email at ee.columbia.edu

Tongliang Liu

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, 2015	427	2015
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	179	2016
On compressing deep models by low rank and sparse decomposition X Yu, T Liu, X Wang, D Tao CVPR, 7370-7379, 2017	166	2017
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	144	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	138	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	120	2015
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	108	2016
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	107	2017
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	105	2018
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	103	2014
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	102	2019
Spectral ensemble clustering H Liu, T Liu, J Wu, D Tao, Y Fu KDD, 715-724, 2015	99	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	99	2015
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	82	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	78	2016
Unsupervised semantic-preserving adversarial hashing for image search C Deng, E Yang, T Liu, J Li, W Liu, D Tao IEEE Transactions on Image Processing 28 (8), 4032-4044, 2019	75	2019
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	66	2016
Large-cone nonnegative matrix factorization T Liu, M Gong, D Tao IEEE transactions on neural networks and learning systems 28 (9), 2129-2142, 2016	63	2016
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	58	2017
Learning with biased complementary labels X Yu, T Liu, M Gong, D Tao Proceedings of the European conference on computer vision (ECCV), 68-83, 2018	57	2018

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