| Learning locally-adaptive decision functions for person verification Z Li, S Chang, F Liang, TS Huang, L Cao, JR Smith Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 482 | 2013 |
| Heterogeneous network embedding via deep architectures S Chang, W Han, J Tang, GJ Qi, CC Aggarwal, TS Huang Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 335 | 2015 |
| Jointly attentive spatial-temporal pooling networks for video-based person re-identification S Xu, Y Cheng, K Gu, Y Yang, S Chang, P Zhou Proceedings of the IEEE international conference on computer vision, 4733-4742, 2017 | 131 | 2017 |
| Studying very low resolution recognition using deep networks Z Wang, S Chang, Y Yang, D Liu, TS Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 126 | 2016 |
| Negative link prediction in social media J Tang, S Chang, C Aggarwal, H Liu Proceedings of the eighth ACM international conference on web search and …, 2015 | 104 | 2015 |
| R 3: Reinforced ranker-reader for open-domain question answering S Wang, M Yu, X Guo, Z Wang, T Klinger, W Zhang, S Chang, G Tesauro, ... Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 97 | 2018 |
| D3: Deep dual-domain based fast restoration of jpeg-compressed images Z Wang, D Liu, S Chang, Q Ling, Y Yang, TS Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 90 | 2016 |
| Dilated recurrent neural networks S Chang, Y Zhang, W Han, M Yu, X Guo, W Tan, X Cui, M Witbrock, ... Advances in Neural Information Processing Systems, 77-87, 2017 | 77 | 2017 |
| Streaming recommender systems S Chang, Y Zhang, J Tang, D Yin, Y Chang, MA Hasegawa-Johnson, ... Proceedings of the 26th International Conference on World Wide Web, 381-389, 2017 | 69 | 2017 |
| Robust video super-resolution with learned temporal dynamics D Liu, Z Wang, Y Fan, X Liu, Z Wang, S Chang, T Huang Proceedings of the IEEE International Conference on Computer Vision, 2507-2515, 2017 | 68 | 2017 |
| Learning super-resolution jointly from external and internal examples Z Wang, Y Yang, Z Wang, S Chang, J Yang, TS Huang IEEE Transactions on Image Processing 24 (11), 4359-4371, 2015 | 67 | 2015 |
| Self-tuned deep super resolution Z Wang, Y Yang, Z Wang, S Chang, W Han, J Yang, T Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 65 | 2015 |
| Towards cross-category knowledge propagation for learning visual concepts GJ Qi, C Aggarwal, Y Rui, Q Tian, S Chang, T Huang CVPR 2011, 897-904, 2011 | 62 | 2011 |
| Evidence aggregation for answer re-ranking in open-domain question answering S Wang, M Yu, J Jiang, W Zhang, X Guo, S Chang, Z Wang, T Klinger, ... arXiv preprint arXiv:1711.05116, 2017 | 58 | 2017 |
| Image aesthetics assessment using Deep Chatterjee's machine Z Wang, D Liu, S Chang, F Dolcos, D Beck, T Huang 2017 International Joint Conference on Neural Networks (IJCNN), 941-948, 2017 | 55* | 2017 |
| Blind image deblurring using spectral properties of convolution operators G Liu, S Chang, Y Ma IEEE Transactions on image processing 23 (12), 5047-5056, 2014 | 49 | 2014 |
| Image super-resolution via dual-state recurrent networks W Han, S Chang, D Liu, M Yu, M Witbrock, TS Huang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 48 | 2018 |
| Learning a task-specific deep architecture for clustering Z Wang, S Chang, J Zhou, M Wang, TS Huang Proceedings of the 2016 SIAM International Conference on Data Mining, 369-377, 2016 | 46 | 2016 |
| Speech Enhancement Using Bayesian Wavenet. K Qian, Y Zhang, S Chang, X Yang, D Florêncio, M Hasegawa-Johnson Interspeech, 2013-2017, 2017 | 45 | 2017 |
| Factorized similarity learning in networks S Chang, GJ Qi, CC Aggarwal, J Zhou, M Wang, TS Huang 2014 IEEE International Conference on Data Mining, 60-69, 2014 | 44 | 2014 |
Thomas S. HuangUniversity of Illinois, Urbana-ChampaignVerified email at ifp.uiuc.edu
