Tongliang Liu

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i10-index	71	71

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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 GongProfessor@Nanjing University of Science and TechnologyVerified email at sjtu.edu.cn
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Kun ZhangCarnegie Mellon University & Max-Planck Institute for Intelligent SystemsVerified email at cmu.edu
Yong LuoNanyang Technological UniversityVerified email at ntu.edu.sg
Xiaobo XiaPh.D. student, The University of SydneyVerified email at uni.sydney.edu.au
Nannan WangProfessor, Xidian UniversityVerified email at xidian.edu.cn
Erkun YangUniversity of North Carolina at Chapel HillVerified email at med.unc.edu
Yuxuan DuUniversity of SydneyVerified email at uni.sydney.edu.au
Cheng Deng （邓成）School of Electronic Engineering, Xi'an 710071, Xidian UniversityVerified email at mail.xidian.edu.cn
Ya LiUSTCVerified email at mail.ustc.edu.cn
Xiyu YuBaiduVerified email at uni.sydney.edu.au
Jie GuiSoutheast University, ChinaVerified email at ustc.edu
Kede MaAssistant Professor of Computer Science, City University of Hong KongVerified email at cityu.edu.hk
Hongfu LiuAssistant Professor of Computer Science, Brandeis UniversityVerified email at brandeis.edu
Jiankang DengImperial College LondonVerified email at imperial.ac.uk
Bo DuSchool of Computer, Wuhan University, Centre for Quantum Computation and Intelligent SystemsVerified email at whu.edu.cn

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	494	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	208	2016
On compressing deep models by low rank and sparse decomposition X Yu, T Liu, X Wang, D Tao CVPR, 7370-7379, 2017	201	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	163	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	160	2018
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	151	2017
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	132	2019
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	122	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	116	2017
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	116	2016
Spectral ensemble clustering H Liu, T Liu, J Wu, D Tao, Y Fu KDD, 715-724, 2015	108	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	107	2015
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	106	2014
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	88	2019
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	84	2016
Are Anchor Points Really Indispensable in Label-Noise Learning? X Xia, T Liu, N Wang, B Han, C Gong, G Niu, M Sugiyama Advances in Neural Information Processing Systems, 6835--6846, 2019	82	2019
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
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	77	2018
Expressive power of parametrized quantum circuits Y Du, MH Hsieh, T Liu, D Tao Physical Review Research 2 (3), 033125, 2020	72	2020
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	71	2016

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