Mingming Gong - Google Scholar Citations

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	All	Since 2015
Citations	1111	1090
h-index	16	16
i10-index	24	22

560

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420

2012201320142015201620172018201920205 6 8 22 42 100 232 541 146

Co-authors

Dacheng TaoThe University of SydneyVerified email at sydney.edu.au
Kun ZhangCarnegie Mellon University & Max-Planck Institute for Intelligent SystemsVerified email at cmu.edu
Nematollah (Kayhan) BatmanghelichAssistant Professor, University of PittsburghVerified email at pitt.edu
Tongliang LiuThe University of SydneyVerified email at sydney.edu.au
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Chaohui WangLaboratoire d'Informatique Gaspard Monge, Université Paris-EstVerified email at u-pem.fr
Xinge YouProfessor of School of Electronics Information and Communications, Huazhong University of ScienceVerified email at mail.hust.edu.cn
Xiyu YuThe University of SydneyVerified email at uni.sydney.edu.au
Philipp GeigerBosch Center for Artificial IntelligenceVerified email at tuebingen.mpg.de
Biwei HuangCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Qiang LiAlgorithm Engineer, Y-tech, KwaiVerified email at comp.polyu.edu.hk
Marius PedersenNorwegian University of Science and Technology (NTNU)Verified email at ntnu.no
Joseph RamseyCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Dominik JanzingAmazon Development Center, TuebingenVerified email at tuebingen.mpg.de
Shaoli HuangThe University of SydneyVerified email at sydney.edu.au
Shanshan ZhaoThe University of SydneyVerified email at uni.sydney.edu.au
Jaime CarbonellProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Yanwu XuUniversity of PittsburghVerified email at pitt.edu
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at postman.riken.jp
Bo HanHKBU / RIKENVerified email at comp.hkbu.edu.hk

Mingming Gong

University of Melbourne

Verified email at unimelb.edu.au - Homepage

Causality Machine Learning Computer Vision Biomedical Informatics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep Ordinal Regression Network for Monocular Depth Estimation H Fu, M Gong, C Wang, K Batmanghelich, D Tao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	232	2018
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018	133	2018
Domain Adaptation with Conditional Transferable Components M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf Proceedings of The 33rd International Conference on Machine Learning, 2839-2848, 2016	120	2016
Multi-source domain adaptation: A causal view K Zhang, M Gong, B Schölkopf Twenty-ninth AAAI conference on artificial intelligence, 2015	62	2015
Local metric learning for exemplar-based object detection X You, Q Li, D Tao, W Ou, M Gong IEEE Transactions on Circuits and Systems for Video Technology 24 (8), 1265-1276, 2014	57	2014
Large-cone nonnegative matrix factorization T Liu, M Gong, D Tao IEEE transactions on neural networks and learning systems 28 (9), 2129-2142, 2016	52	2016
Causal inference by identification of vector autoregressive processes with hidden components P Geiger, K Zhang, B Schoelkopf, M Gong, D Janzing International Conference on Machine Learning, 1917-1925, 2015	48	2015
A coarse-fine network for keypoint localization S Huang, M Gong, D Tao Proceedings of the IEEE International Conference on Computer Vision, 3028-3037, 2017	44	2017
Discovering Temporal Causal Relations from Subsampled Data. M Gong, K Zhang, B Schoelkopf, D Tao, P Geiger ICML, 1898-1906, 2015	42	2015
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	34	2018
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	26	2018
DERF: Distinctive Efficient Robust Features From the Biological Modeling of the P Ganglion Cells D Weng, Y Wang, M Gong, D Tao, H Wei, D Huang IEEE Transactions on Image Processing 24 (8), 2287-2302, 2015	22	2015
Correcting the Triplet Selection Bias for Triplet Loss B Yu, T Liu, M Gong, C Ding, D Tao Proceedings of the European Conference on Computer Vision (ECCV), 71-87, 2018	20	2018
Domain generalization via conditional invariant representations Y Li, M Gong, X Tian, T Liu, D Tao Thirty-Second AAAI Conference on Artificial Intelligence, 2018	19	2018
A method using long digital straight segments for fingerprint recognition X Jiang, X You, Y Yuan, M Gong Neurocomputing 77 (1), 28-35, 2012	19	2012
Causal Discovery in the Presence of Measurement Error: Identifiability Conditions K Zhang, M Gong, J Ramsey, K Batmanghelich, P Spirtes, C Glymour arXiv preprint arXiv:1706.03768, 2017	17	2017
Causal discovery from temporally aggregated time series M Gong, K Zhang, B Schölkopf, C Glymour, D Tao Uncertainty in artificial intelligence: proceedings of the... conference …, 2017	16	2017
Transfer learning with label noise X Yu, T Liu, M Gong, K Zhang, K Batmanghelich, D Tao arXiv preprint arXiv:1707.09724, 2017	16	2017
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption X Yu, T Liu, M Gong, K Batmanghelich, D Tao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	14	2018
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation S Zhao, H Fu, M Gong, D Tao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	13	2019

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