| Object detection in 20 years: A survey Z Zou, K Chen, Z Shi, Y Guo, J Ye Proceedings of the IEEE 111 (3), 257-276, 2023 | 3156 | 2023 |
| A large-scale evaluation of computational protein function prediction P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ... Nature methods 10 (3), 221-227, 2013 | 1109 | 2013 |
| Discriminative batch mode active learning Y Guo, D Schuurmans Advances in neural information processing systems 20, 2007 | 383 | 2007 |
| Adaptive active learning for image classification X Li, Y Guo Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 377 | 2013 |
| Optimistic active-learning using mutual information. Y Guo, R Greiner IJCAI 7, 823-829, 2007 | 250 | 2007 |
| Multi-label classification using conditional dependency networks Y Guo, S Gu IJCAI Proceedings-international joint conference on artificial intelligence …, 2011 | 249 | 2011 |
| Domain Adaptation With Neural Embedding Matching Z Wang, B Du, Y Guo IEEE Transactions on Neural Networks and Learning Systems, 2019 | 177 | 2019 |
| Active instance sampling via matrix partition Y Guo Advances in neural information processing systems 23, 2010 | 174 | 2010 |
| Convex subspace representation learning from multi-view data Y Guo Proceedings of the AAAI conference on artificial intelligence 27 (1), 387-393, 2013 | 170 | 2013 |
| Feature space independent semi-supervised domain adaptation via kernel matching M Xiao, Y Guo IEEE transactions on pattern analysis and machine intelligence 37 (1), 54-66, 2014 | 167 | 2014 |
| Active Learning with Multi-Label SVM Classification. X Li, Y Guo IjCAI 13, 1479-1485, 2013 | 166 | 2013 |
| Zero-shot classification with discriminative semantic representation learning M Ye, Y Guo Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 162 | 2017 |
| Semi-supervised zero-shot classification with label representation learning X Li, Y Guo, D Schuurmans Proceedings of the IEEE international conference on computer vision, 4211-4219, 2015 | 140 | 2015 |
| Multi-label Image Classification with A Probabilistic Label Enhancement Model. X Li, F Zhao, Y Guo UAI 1 (2), 1-10, 2014 | 140 | 2014 |
| Distributed word representation learning for cross-lingual dependency parsing M Xiao, Y Guo Proceedings of the eighteenth conference on computational natural language …, 2014 | 124 | 2014 |
| Supervised segmentation of un-annotated retinal fundus images by synthesis H Zhao, H Li, S Maurer-Stroh, Y Guo, Q Deng, L Cheng IEEE transactions on medical imaging 38 (1), 46-56, 2018 | 120 | 2018 |
| MS-k NN: protein function prediction by integrating multiple data sources L Lan, N Djuric, Y Guo, S Vucetic BMC bioinformatics 14, 1-10, 2013 | 115 | 2013 |
| Visual relationship detection with deep structural ranking K Liang, Y Guo, H Chang, X Chen Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 108 | 2018 |
| Progressive ensemble networks for zero-shot recognition M Ye, Y Guo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 81 | 2019 |
| Semi-supervised multi-label learning with incomplete labels F Zhao, Y Guo Twenty-fourth international joint conference on artificial intelligence, 2015 | 79 | 2015 |
