Tongliang Liu

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Dacheng TaoThe University of SydneyVerified email at sydney.edu.au
Mingming GongUniversity 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 njust.edu.cn
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at cmu.edu
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Yong LuoWuhan UniversityVerified email at whu.edu.cn
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
Xiaobo XiaPh.D. student, The University of SydneyVerified email at uni.sydney.edu.au
Nannan WangProfessor, Xidian UniversityVerified email at xidian.edu.cn
Ya LiUSTCVerified email at mail.ustc.edu.cn
Erkun YangXidian UniversityVerified email at xidian.edu.cn
Xiyu YuBaiduVerified email at uni.sydney.edu.au
Min-Hsiu HsiehHon Hai Quantum Computing Research CenterVerified email at foxconn.com
Jie GuiSoutheast University, ChinaVerified email at ustc.edu
Kede MaAssistant Professor of Computer Science, City University of Hong KongVerified email at cityu.edu.hk
Jiankang DengImperial College LondonVerified email at imperial.ac.uk
Hongfu LiuAssistant Professor of Computer Science, Brandeis UniversityVerified email at brandeis.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	561	2015
On compressing deep models by low rank and sparse decomposition X Yu, T Liu, X Wang, D Tao CVPR 2017, 7370-7379, 2017	251	2017
Domain adaptation with conditional transferable components M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf ICML 2016, 2839-2848, 2016	250	2016
Deep domain generalization via conditional invariant adversarial networks Y Li, X Tian, M Gong, Y Liu, T Liu, K Zhang, D Tao ECCV 2018, 624-639, 2018	226	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	184	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	184	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	183	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	125	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	123	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	123	2016
Spectral ensemble clustering H Liu, T Liu, J Wu, D Tao, Y Fu KDD 2015, 715-724, 2015	116	2015
Are Anchor Points Really Indispensable in Label-Noise Learning? X Xia, T Liu, N Wang, B Han, C Gong, G Niu, M Sugiyama NeurIPS 2019, 6835--6846, 2019	113	2019
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	111	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	109	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	104	2019
Learning with biased complementary labels X Yu, T Liu, M Gong, D Tao ECCV 2018, 68-83, 2018	96	2018
Expressive power of parametrized quantum circuits Y Du, MH Hsieh, T Liu, D Tao Physical Review Research 2 (3), 033125, 2020	93	2020
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	86	2016
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
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	78	2016

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