| 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 | 560 | 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 | 471 | 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 | 186 | 2016 |
| 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 | 120 | 2018 |
| Multi-source domain adaptation: A causal view K Zhang, M Gong, B Schölkopf Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 108 | 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 | 84 | 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 | 63 | 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 | 63 | 2014 |
| 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 | 61 | 2018 |
| 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 | 56 | 2015 |
| Geometry-aware symmetric domain adaptation for monocular depth estimation S Zhao, H Fu, M Gong, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 54 | 2019 |
| Discovering Temporal Causal Relations from Subsampled Data. M Gong, K Zhang, B Schoelkopf, D Tao, P Geiger ICML, 1898-1906, 2015 | 52 | 2015 |
| Domain generalization via conditional invariant representations Y Li, M Gong, X Tian, T Liu, D Tao Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 42 | 2018 |
| 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/CVF Conference on Computer Vision and Pattern …, 2019 | 37 | 2019 |
| 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 | 36 | 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 | 30 | 2019 |
| Label-noise robust domain adaptation X Yu, T Liu, M Gong, K Zhang, K Batmanghelich, D Tao International Conference on Machine Learning, 10913-10924, 2020 | 27* | 2020 |
| Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results. K Zhang, M Gong, J Ramsey, K Batmanghelich, P Spirtes, C Glymour UAI, 1063-1072, 2018 | 26* | 2018 |
| 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 | 24 | 2017 |
| 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 |
Dacheng TaoThe University of SydneyVerified email at sydney.edu.au
