| Partial multi-view clustering SY Li, Y Jiang, ZH Zhou Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014 | 432 | 2014 |
| Baydnn: Friend recommendation with bayesian personalized ranking deep neural network D Ding, M Zhang, SY Li, J Tang, X Chen, ZH Zhou Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 59 | 2017 |
| Multi-label learning from crowds SY Li, Y Jiang, NV Chawla, ZH Zhou IEEE Transactions on Knowledge and Data Engineering 31 (7), 1369-1382, 2018 | 43 | 2018 |
| Crowdsourcing aggregation with deep Bayesian learning SY Li, SJ Huang, S Chen Science China Information Sciences 64 (3), 130104, 2021 | 35 | 2021 |
| Uncertainty aware graph gaussian process for semi-supervised learning ZY Liu, SY Li, S Chen, Y Hu, SJ Huang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4957-4964, 2020 | 33 | 2020 |
| Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing. W Wang, XY Guo, SY Li, Y Jiang, ZH Zhou IJCAI 17, 2964-2970, 2017 | 19 | 2017 |
| Multi-label active learning from crowds SY Li, Y Jiang, ZH Zhou arXiv preprint arXiv:1508.00722, 2015 | 19 | 2015 |
| Incremental multi-label learning with active queries SJ Huang, GX Li, WY Huang, SY Li Journal of Computer Science and Technology 35, 234-246, 2020 | 18 | 2020 |
| Multi-label crowdsourcing learning with incomplete annotations SY Li, Y Jiang PRICAI 2018: Trends in Artificial Intelligence: 15th Pacific Rim …, 2018 | 10 | 2018 |
| Improving deep label noise learning with dual active label correction SY Li, Y Shi, SJ Huang, S Chen Machine Learning, 1-22, 2022 | 8 | 2022 |
| Learning from crowds with sparse and imbalanced annotations Y Shi, SY Li, SJ Huang Machine Learning 112 (6), 1823-1845, 2023 | 2 | 2023 |
| Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting CC Zong, ZT Cao, HT Guo, Y Du, MK Xie, SY Li, SJ Huang arXiv preprint arXiv:2209.01334, 2022 | 1 | 2022 |
| Deep Generative Crowdsourcing Learning with Worker Correlation Utilization. S Li, M Wei, S Huang International Journal of Software & Informatics 12 (2), 2022 | 1 | 2022 |
| Robust Self-training with Label Refinement for Noisy Domain Adaptation Z Cao, S Li International Conference on Computing, Control and Industrial Engineering …, 2023 | | 2023 |
| Weakly Supervised Crowdsourcing Learning Based on Adversarial Consensus ML Wei, SY Li, SJ Huang 2021 International Conference on Computational Science and Computational …, 2021 | | 2021 |
| 利用主动查询的增量多标记学习 SJ Huang, GX Li, WY Huang, SY Li 计算机科学技术学报 35 (2), 234-246, 2020 | | 2020 |
Zhi-Hua ZhouNanjing University在 nju.edu.cn 的电子邮件经过验证
