| 3d deep shape descriptor Y Fang, J Xie, G Dai, M Wang, F Zhu, T Xu, E Wong Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 260 | 2015 |
| Deepshape: Deep-learned shape descriptor for 3d shape retrieval J Xie, G Dai, F Zhu, EK Wong, Y Fang IEEE transactions on pattern analysis and machine intelligence 39 (7), 1335-1345, 2016 | 158 | 2016 |
| Learning barycentric representations of 3D shapes for sketch-based 3D shape retrieval J Xie, G Dai, F Zhu, Y Fang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 91 | 2017 |
| Deep correlated holistic metric learning for sketch-based 3D shape retrieval G Dai, J Xie, Y Fang IEEE Transactions on Image Processing 27 (7), 3374-3386, 2018 | 89 | 2018 |
| Deep correlated metric learning for sketch-based 3d shape retrieval G Dai, J Xie, F Zhu, Y Fang Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 86 | 2017 |
| Siamese cnn-bilstm architecture for 3D shape representation learning. G Dai, J Xie, Y Fang IJCAI, 670-676, 2018 | 54 | 2018 |
| Deep multimetric learning for shape-based 3D model retrieval J Xie, G Dai, Y Fang IEEE Transactions on Multimedia 19 (11), 2463-2474, 2017 | 50 | 2017 |
| Deep nonlinear metric learning for 3-D shape retrieval J Xie, G Dai, F Zhu, L Shao, Y Fang IEEE transactions on cybernetics 48 (1), 412-422, 2016 | 26 | 2016 |
| Metric-based generative adversarial network G Dai, J Xie, Y Fang Proceedings of the 25th ACM international conference on Multimedia, 672-680, 2017 | 21 | 2017 |
| Progressive shape-distribution-encoder for learning 3D shape representation J Xie, F Zhu, G Dai, L Shao, Y Fang IEEE Transactions on Image Processing 26 (3), 1231-1242, 2017 | 18 | 2017 |
| Learning a discriminative deformation-invariant 3D shape descriptor via many-to-one encoder G Dai, J Xie, F Zhu, Y Fang Pattern Recognition Letters 83, 330-338, 2016 | 18 | 2016 |
| The intrinsic geometric structure of protein-protein interaction networks for protein interaction prediction Y Fang, M Sun, G Dai, K Ramain IEEE/ACM Transactions on Computational Biology and Bioinformatics 13 (1), 76-85, 2015 | 10 | 2015 |
| A 400-MS/s 8-b 2-b/cycle SAR ADC with shared interpolator and alternative comparators G Dai, C Chen, S Ma, F Ye, J Ren 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2365-2368, 2014 | 7 | 2014 |
| Progressive shape-distribution-encoder for 3d shape retrieval J Xie, F Zhu, G Dai, Y Fang Proceedings of the 23rd ACM international conference on Multimedia, 1167-1170, 2015 | 5 | 2015 |
| Polarization enhancement and suppression of four-wave mixing in multi-Zeeman levels Z Wang, Y Fu, Y Song, G Dai, F Wen, J Zhao, Y Zhang Chinese Optics Letters 9 (7), 072701-072701, 2011 | 5 | 2011 |
| Enhanced or suppressed six-wave mixing in a five-level atomic system Y Song, GX Dai, YX Fu, JY Zhao, ZG Wang, YP Zhang Chinese Physics B 20 (7), 074206, 2011 | 4 | 2011 |
| 3D Shape Descriptor Learning G Dai New York University Tandon School of Engineering, 2019 | 1 | 2019 |
| Global Voting Model for Protein Function Prediction from Protein-Protein Interaction Networks Y Fang, M Sun, G Dai, K Ramani Intelligent Computing in Bioinformatics: 10th International Conference, ICIC …, 2014 | 1 | 2014 |
| Polarized Spatial Splitting of Four-Wave Mixing Signal in Multi-Level Atomic Systems YX Fu, JY Zhao, Y Song, GX Dai, SL Huo, YP Zhang Chinese Physics Letters 28 (4), 044208, 2011 | | 2011 |
| FUNDAMENTAL AREAS OF PHENOMENOLOGY (INCLUDING APPLICATIONS): Polarized Spatial Splitting of Four-Wave Mixing Signal in Multi-Level Atomic Systems YX Fu, JY Zhao, Y Song, GX Dai, SL Huo, YP Zhang Chinese Physics Letters 28 (4), 044208, 2011 | | 2011 |
