| Multi-instance multi-label learning ZH Zhou, ML Zhang, SJ Huang, YF Li Artificial Intelligence, 2011 | 999* | 2011 |
| Active learning by querying informative and representative examples SJ Huang, R Jin, ZH Zhou IEEE transactions on pattern analysis and machine intelligence, 2014 | 831* | 2014 |
| Recent advances in open set recognition: A survey C Geng, S Huang, S Chen IEEE transactions on pattern analysis and machine intelligence 43 (10), 3614 …, 2020 | 810 | 2020 |
| Multi-label learning by exploiting label correlations locally SJ Huang, ZH Zhou Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 949-955, 2012 | 335 | 2012 |
| Fast multi-instance multi-label learning SJ Huang, W Gao, ZH Zhou IEEE transactions on pattern analysis and machine intelligence, 2018 | 177 | 2018 |
| Fast multi-instance multi-label learning SJ Huang, W Gao, ZH Zhou AAAI, 2014 | 177* | 2014 |
| Partial multi-label learning MK Xie, SJ Huang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 162 | 2018 |
| Partial multi-label learning with noisy label identification MK Xie, SJ Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (7), 3676-3687, 2021 | 136 | 2021 |
| Genome-wide protein function prediction through multi-instance multi-label learning JS Wu, SJ Huang, ZH Zhou IEEE/ACM Transactions on Computational Biology and Bioinformatics 11 (5 …, 2014 | 104 | 2014 |
| Multi-label hypothesis reuse SJ Huang, Y Yu, ZH Zhou Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 99 | 2012 |
| Self-paced active learning: Query the right thing at the right time YP Tang, SJ Huang Proceedings of the AAAI conference on artificial intelligence 33 (01), 5117-5124, 2019 | 93 | 2019 |
| Advances in knowledge discovery and data mining BS Yang, ZH Zhou, Z Gong, ML Zhang, SJ Huang Proceedings 405, 2014 | 89 | 2014 |
| Cost-Effective Training of Deep CNNs with Active Model Adaptation SJ Huang, JW Zhao, ZY Liu Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and …, 2018 | 84 | 2018 |
| Active query driven by uncertainty and diversity for incremental multi-label learning SJ Huang, ZH Zhou 2013 IEEE 13th international conference on data mining, 1079-1084, 2013 | 82 | 2013 |
| Cost-Effective Active Learning from Diverse Labelers. SJ Huang, JL Chen, X Mu, ZH Zhou IJCAI, 1879-1885, 2017 | 78 | 2017 |
| Label distribution learning with label correlations on local samples X Jia, Z Li, X Zheng, W Li, SJ Huang IEEE Transactions on Knowledge and Data Engineering 33 (4), 1619-1631, 2019 | 75 | 2019 |
| Multi-label active learning: query type matters. SJ Huang, S Chen, ZH Zhou IjCAI, 946-952, 2015 | 74 | 2015 |
| Comparison of four algorithms to retrieve land surface temperature using Landsat 8 satellite T Song, Z Duan, J Liu, J Shi, F Yan, S Sheng, J Huang, W Wu Yaogan Xuebao/Journal of Remote Sensing 19 (3), 451-464, 2015 | 68 | 2015 |
| Better safe than sorry: Preventing delusive adversaries with adversarial training L Tao, L Feng, J Yi, SJ Huang, S Chen Advances in Neural Information Processing Systems 34, 16209-16225, 2021 | 65 | 2021 |
| ALiPy: Active learning in python YP Tang, GX Li, SJ Huang arXiv preprint arXiv:1901.03802, 2019 | 59 | 2019 |
Zhi-Hua ZhouNanjing University在 nju.edu.cn 的电子邮件经过验证
