| 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 | 274 | 2016 |
| 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 | 237 | 2016 |
| 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 | 113 | 2015 |
| 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 | 110 | 2015 |
| -Sparse Subspace Clustering Y Yang, J Feng, N Jojic, J Yang, TS Huang European conference on computer vision, 731-747, 2016 | 87 | 2016 |
| Recmind: Large language model powered agent for recommendation Y Wang, Z Jiang, Z Chen, F Yang, Y Zhou, E Cho, X Fan, X Huang, Y Lu, ... arXiv preprint arXiv:2308.14296, 2023 | 51 | 2023 |
| Data clustering by laplacian regularized l1-graph Y Yang, Z Wang, J Yang, J Wang, S Chang, TS Huang Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence …, 2014 | 42 | 2014 |
| Sparse coding and its applications in computer vision Z Wang, J Yang, H Zhang, Z Wang, TS Huang, D Liu, Y Yang World Scientific, 2015 | 38 | 2015 |
| Learning A deep l1 encoder for hashing Z Wang, Y Yang, S Chang, Q Ling, TS Huang Proceedings of IJCAI, 2174-2180, 2016 | 33 | 2016 |
| A joint optimization framework of sparse coding and discriminative clustering Z Wang, Y Yang, S Chang, J Li, S Fong, TS Huang Twenty-fourth international joint conference on artificial intelligence, 2015 | 27 | 2015 |
| Regularized ℓ1-Graph for data clustering Y Yang, Z Wang, J Yang, J Han, TS Huang Proceedings of the British machine vision conference, 2014 | 20 | 2014 |
| FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary TSH Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan The International Conference on Learning Representations (ICLR), 2020 | 18* | 2020 |
| Eliciting structural and semantic global knowledge in unsupervised graph contrastive learning K Ding, Y Wang, Y Yang, H Liu Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7378-7386, 2023 | 17 | 2023 |
| An improved belief propagation method for dynamic collage Y Yang, Y Wei, C Liu, Q Peng, Y Matsushita The Visual Computer 25, 431-439, 2009 | 17 | 2009 |
| Image completion using structural priority belief propagation Y Yang, Y Zhu, Q Peng Proceedings of the 17th ACM international conference on Multimedia, 717-720, 2009 | 16 | 2009 |
| Fast proximal gradient descent for a class of non-convex and non-smooth sparse learning problems Y Yang, J Yu Uncertainty in Artificial Intelligence, 1253-1262, 2020 | 14 | 2020 |
| Subspace Learning by -Induced Sparsity Y Yang, J Feng, N Jojic, J Yang, TS Huang International Journal of Computer Vision 126 (10), 1138-1156, 2018 | 12 | 2018 |
| Wsnet: Compact and efficient networks through weight sampling X Jin, Y Yang, N Xu, J Yang, N Jojic, J Feng, S Yan International Conference on Machine Learning, 2352-2361, 2018 | 12 | 2018 |
| Efficient optimization of photo collage Y Wei, Y Matsushita, Y Yang Microsoft Research, Redmond, WA, USA, MSRTR-2009-59, 2009 | 11 | 2009 |
| On order-constrained transitive distance clustering Z Yu, W Liu, W Liu, Y Yang, M Li, BVKV Kumar Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 8 | 2016 |
