Mingming Gong

Cited by

	All	Since 2015
Citations	1782	1759
h-index	19	19
i10-index	26	24

780

390

195

585

2012201320142015201620172018201920206 6 8 22 44 102 224 578 779

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
Kayhan BatmanghelichAssistant Professor, University of PittsburghVerified email at pitt.edu
Tongliang LiuUniversity of Sydney and Visiting Scientist at RIKEN AIPVerified email at sydney.edu.au
Chaohui WangLaboratoire d'Informatique Gaspard Monge, Université Paris-EstVerified email at u-pem.fr
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Xinge YouProfessor of School of Electronics Information and Communications, Huazhong University of ScienceVerified email at mail.hust.edu.cn
Xiyu YuBaiduVerified email at uni.sydney.edu.au
Yanwu XuUniversity of PittsburghVerified email at pitt.edu
Philipp GeigerBosch Center for Artificial IntelligenceVerified email at tuebingen.mpg.de
Biwei HuangCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Shanshan ZhaoThe University of SydneyVerified email at uni.sydney.edu.au
Shaoli HuangThe University of SydneyVerified email at sydney.edu.au
Qiang LiY-tech, Kuaishou TechnologyVerified email at comp.polyu.edu.hk
Joseph RamseyCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Peter SpirtesProfessor of Philosophy, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Marius PedersenNorwegian University of Science and Technology (NTNU)Verified email at ntnu.no
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at postman.riken.jp
Bo HanHKBU / RIKENVerified email at comp.hkbu.edu.hk
Dominik JanzingAmazon Development Center, TuebingenVerified email at amazon.com

Mingming Gong

The University of Melbourne

Verified email at unimelb.edu.au - Homepage

Causality Machine Learning Computer Vision Bioinformatics


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	407	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	313	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	153	2016
Multi-Source Domain Adaptation: A Causal View. K Zhang, M Gong, B Schölkopf AAAI 1, 3150-3157, 2015	87	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	76	2018
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	63	2017
Large-cone nonnegative matrix factorization T Liu, M Gong, D Tao IEEE transactions on neural networks and learning systems 28 (9), 2129-2142, 2016	61	2016
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	61	2014
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	51	2015
Discovering Temporal Causal Relations from Subsampled Data. M Gong, K Zhang, B Schoelkopf, D Tao, P Geiger ICML, 1898-1906, 2015	50	2015
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	43	2019
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	40	2018
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	30	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	28	2018
Learning the implicit strain reconstruction in ultrasound elastography using privileged information Z Gao, S Wu, Z Liu, J Luo, H Zhang, M Gong, S Li Medical image analysis 58, 101534, 2019	26	2019
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	24	2015
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping H Fu, M Gong, C Wang, K Batmanghelich, K Zhang, D Tao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	19	2019
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	19	2017
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	19	2017
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

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors