| Super-resolution through neighbor embedding H Chang, DY Yeung, Y Xiong Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 2298 | 2004 |
| SVC2004: First international signature verification competition DY Yeung, H Chang, Y Xiong, S George, R Kashi, T Matsumoto, G Rigoll International conference on biometric authentication, 16-22, 2004 | 529 | 2004 |
| Robust path-based spectral clustering H Chang, DY Yeung Pattern Recognition 41 (1), 191-203, 2008 | 520 | 2008 |
| Deep network cascade for image super-resolution Z Cui, H Chang, S Shan, B Zhong, X Chen European Conference on Computer Vision, 49-64, 2014 | 285 | 2014 |
| Stacked progressive auto-encoders (spae) for face recognition across poses M Kan, S Shan, H Chang, X Chen Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 225 | 2014 |
| Low-resolution face recognition via coupled locality preserving mappings B Li, H Chang, S Shan, X Chen IEEE Signal processing letters 17 (1), 20-23, 2009 | 207 | 2009 |
| Robust locally linear embedding H Chang, DY Yeung Pattern recognition 39 (6), 1053-1065, 2006 | 203 | 2006 |
| Chinese Academy of Sciences JJ Zhang Status and Perspectives on Trans-Petaflops HPC Development in China …, 2011 | 176* | 2011 |
| A kernel approach for semisupervised metric learning DY Yeung, H Chang IEEE Transactions on Neural Networks 18 (1), 141-149, 2007 | 113 | 2007 |
| Interaction-and-aggregation network for person re-identification R Hou, B Ma, H Chang, X Gu, S Shan, X Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 108 | 2019 |
| Class-balanced grouping and sampling for point cloud 3d object detection B Zhu, Z Jiang, X Zhou, Z Li, G Yu arXiv preprint arXiv:1908.09492, 2019 | 94* | 2019 |
| Locally linear metric adaptation for semi-supervised clustering H Chang, DY Yeung Proceedings of the twenty-first international conference on Machine learning, 20, 2004 | 93 | 2004 |
| Aligning coupled manifolds for face hallucination B Li, H Chang, S Shan, X Chen IEEE Signal Processing Letters 16 (11), 957-960, 2009 | 86 | 2009 |
| Sigma set: A small second order statistical region descriptor X Hong, H Chang, S Shan, X Chen, W Gao 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1802-1809, 2009 | 78 | 2009 |
| Cross attention network for few-shot classification R Hou, H Chang, B Ma, S Shan, X Chen arXiv preprint arXiv:1910.07677, 2019 | 77 | 2019 |
| Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints DY Yeung, H Chang Pattern Recognition 39 (5), 1007-1010, 2006 | 67 | 2006 |
| Multiview metric learning with global consistency and local smoothness D Zhai, H Chang, S Shan, X Chen, W Gao ACM Transactions on Intelligent Systems and Technology (TIST) 3 (3), 1-22, 2012 | 66 | 2012 |
| Locality preserving constraints for super-resolution with neighbor embedding B Li, H Chang, S Shan, X Chen 2009 16th IEEE International Conference on Image Processing (ICIP), 1189-1192, 2009 | 65 | 2009 |
| Kernel-based distance metric learning for content-based image retrieval H Chang, DY Yeung Image and Vision Computing 25 (5), 695-703, 2007 | 65 | 2007 |
| Parametric Local Multimodal Hashing for Cross-View Similarity Search. D Zhai, H Chang, Y Zhen, X Liu, X Chen, W Gao IJCAI, 2754-2760, 2013 | 64 | 2013 |
Dit-Yan YeungChair Professor and Head of CSE Department, HKUST, Hong KongVerified email at cse.ust.hk
