Multi-instance multi-label learning ZH Zhou, ML Zhang, SJ Huang, YF Li Artificial Intelligence, 2011 | 983* | 2011 |
Active learning by querying informative and representative examples SJ Huang, R Jin, ZH Zhou IEEE transactions on pattern analysis and machine intelligence, 2014 | 792* | 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 | 721 | 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 | 331 | 2012 |
Fast multi-instance multi-label learning SJ Huang, W Gao, ZH Zhou IEEE transactions on pattern analysis and machine intelligence, 2018 | 174 | 2018 |
Fast multi-instance multi-label learning SJ Huang, W Gao, ZH Zhou AAAI, 2014 | 174* | 2014 |
Partial multi-label learning MK Xie, SJ Huang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 143 | 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 | 113 | 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 | 101 | 2014 |
Multi-label hypothesis reuse SJ Huang, Y Yu, ZH Zhou Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 101 | 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 | 78 | 2019 |
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 | 76 | 2018 |
Cost-Effective Active Learning from Diverse Labelers. SJ Huang, JL Chen, X Mu, ZH Zhou IJCAI, 1879-1885, 2017 | 76 | 2017 |
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 | 76 | 2013 |
Multi-label active learning: query type matters. SJ Huang, S Chen, ZH Zhou IjCAI, 946-952, 2015 | 69 | 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 | 63 | 2015 |
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 | 62 | 2019 |
ALiPy: Active learning in python YP Tang, GX Li, SJ Huang arXiv preprint arXiv:1901.03802, 2019 | 59 | 2019 |
Active Feature Acquisition with Supervised Matrix Completion SJ Huang, M Xu, MK Xie, M Sugiyama, G Niu, S Chen Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and …, 2018 | 53 | 2018 |
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 | 49 | 2021 |