Tongliang Liu

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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
Chen GongProfessor@Nanjing University of Science and TechnologyVerified email at sjtu.edu.cn
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at postman.riken.jp
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
Ya LiUSTCVerified email at mail.ustc.edu.cn
Xiyu YuBaiduVerified 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
Tieniu TanInstitute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Jie GuiSoutheast University, ChinaVerified email at ustc.edu
Wei LiuTencentVerified email at ee.columbia.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
Wen Gao（高文）Professor of Computer Science, Peking UniversityVerified email at pku.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	451	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	187	2016
On compressing deep models by low rank and sparse decomposition X Yu, T Liu, X Wang, D Tao CVPR, 7370-7379, 2017	179	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	156	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	142	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	127	2018
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
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	118	2019
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	114	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	112	2017
Spectral ensemble clustering H Liu, T Liu, J Wu, D Tao, Y Fu KDD, 715-724, 2015	103	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	103	2014
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	102	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	83	2015
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	82	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	82	2016
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	69	2016
Expressive power of parametrized quantum circuits Y Du, MH Hsieh, T Liu, D Tao Physical Review Research 2 (3), 033125, 2020	67	2020
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	64	2018
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	63	2019

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