Tongliang Liu

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	总计	2018 年至今
引用	11390	10691
h 指数	60	56
i10 指数	140	140

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Dacheng TaoThe University of Sydney在 sydney.edu.au 的电子邮件经过验证
Bo HanHKBU / RIKEN在 comp.hkbu.edu.hk 的电子邮件经过验证
Mingming GongUniversity of Melbourne在 unimelb.edu.au 的电子邮件经过验证
Gang NiuRIKEN Center for Advanced Intelligence Project在 postman.riken.jp 的电子邮件经过验证
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of Tokyo在 k.u-tokyo.ac.jp 的电子邮件经过验证
Xiaobo XiaPh.D. student, The University of Sydney在 uni.sydney.edu.au 的电子邮件经过验证
Nannan WangProfessor, Xidian University在 xidian.edu.cn 的电子邮件经过验证
Chen GongProfessor@Nanjing University of Science and Technology在 njust.edu.cn 的电子邮件经过验证
Yuxuan DuUniversity of Sydney; JD Explore Academy在 uni.sydney.edu.au 的电子邮件经过验证
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)在 cmu.edu 的电子邮件经过验证
Erkun Yang（杨二昆）Xidian University在 xidian.edu.cn 的电子邮件经过验证
Cheng Deng （邓成）School of Electronic Engineering, Xi'an 710071, Xidian University在 mail.xidian.edu.cn 的电子邮件经过验证
Jiankang DengHonorary Lecturer, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
Yong LuoWuhan University在 whu.edu.cn 的电子邮件经过验证
Yang LiuComputer Science and Engineering, UC Santa Cruz在 ucsc.edu 的电子邮件经过验证
Li ShenJD; Tencent; SCUT在 jd.com 的电子邮件经过验证
Yonggang ZHANGHKBU在 comp.hkbu.edu.hk 的电子邮件经过验证
Dawei ZhouXidian University在 stu.xidian.edu.cn 的电子邮件经过验证
Kede MaAssistant Professor of Computer Science, City University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH在 tuebingen.mpg.de 的电子邮件经过验证

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Tongliang Liu

Director, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AI

在 sydney.edu.au 的电子邮件经过验证 - 首页

Machine Learning Artificial Intelligence


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Classification with noisy labels by importance reweighting T Liu, D Tao IEEE Transactions on pattern analysis and machine intelligence 38 (3), 447-461, 2015	800	2015
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	558	2018
On compressing deep models by low rank and sparse decomposition X Yu, T Liu, X Wang, D Tao CVPR 2017, 7370-7379, 2017	404	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	346	2019
Domain adaptation with conditional transferable components M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf ICML 2016, 2839-2848, 2016	344	2016
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	298	2017
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	275	2019
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	246	2017
Expressive power of parametrized quantum circuits Y Du, MH Hsieh, T Liu, D Tao Physical Review Research 2 (3), 033125, 2020	209	2020
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	186	2017
Part-dependent label noise: Towards instance-dependent label noise X Xia, T Liu, B Han, N Wang, M Gong, H Liu, G Niu, D Tao, M Sugiyama NeurIPS 2020 33, 2020	183	2020
Domain generalization via entropy regularization S Zhao, M Gong, T Liu, H Fu, D Tao NeurIPS 2020 33, 2020	169	2020
Sub-center ArcFace: Boosting Face Recognition by Large-scale Noisy Web Faces J Deng, J Guo, T Liu, M Gong, S Zafeiriou ECCV 2020, 2020	169	2020
Robust early-learning: Hindering the memorization of noisy labels X Xia, T Liu, B Han, C Gong, N Wang, Z Ge, Y Chang ICLR 2020, 2020	168	2020
Learning with biased complementary labels X Yu, T Liu, M Gong, D Tao ECCV 2018, 68-83, 2018	167	2018
Dual T: Reducing estimation error for transition matrix in label-noise learning Y Yao, T Liu, B Han, M Gong, J Deng, G Niu, M Sugiyama NeurIPS 2020 33, 2020	162	2020
Domain generalization via conditional invariant representation Y Li, M Gong, X Tian, T Liu, D Tao AAAI 2018, 2018	159	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	154	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	149	2019
Spectral ensemble clustering H Liu, T Liu, J Wu, D Tao, Y Fu KDD 2015, 715-724, 2015	148	2015

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