| Crowdsourcing via Tensor Augmentation and Completion Y Zhou, J He IJCAI, 2435-2441, 2016 | 57 | 2016 |
| PURE: Positive-unlabeled recommendation with generative adversarial network Y Zhou, J Xu, J Wu, Z Taghavi, E Korpeoglu, K Achan, J He Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 54* | 2021 |
| Multimodal federated learning: A survey L Che, J Wang, Y Zhou, F Ma Sensors 23 (15), 6986, 2023 | 53 | 2023 |
| Unlearn what you have learned: Adaptive crowd teaching with exponentially decayed memory learners Y Zhou, AR Nelakurthi, J He Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 42 | 2018 |
| MultiC2: an Optimization Framework for Learning from Task and Worker Dual Heterogeneity Y Zhou, L Ying, J He Proceedings of the 2017 SIAM International Conference on Data Mining, 579-587, 2017 | 33 | 2017 |
| Adversarial robustness through bias variance decomposition: A new perspective for federated learning Y Zhou, J Wu, H Wang, J He Proceedings of the 31st ACM International Conference on Information …, 2022 | 23* | 2022 |
| A randomized approach for crowdsourcing in the presence of multiple views Y Zhou, J He 2017 IEEE International Conference on Data Mining (ICDM), 685-694, 2017 | 19 | 2017 |
| Review-Based Explainable Recommendations: A Transparency Perspective Y Zhou, H Wang, J He, H Wang ACM Transactions on Recommender Systems, 2024 | 18* | 2024 |
| A practical method for counting arbitrary target objects in arbitrary scenes Y Zhou, J Luo 2013 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013 | 17 | 2013 |
| Crowd teaching with imperfect labels Y Zhou, AR Nelakurthi, R Maciejewski, W Fan, J He Proceedings of The Web Conference 2020, 110-121, 2020 | 13 | 2020 |
| Multi-task crowdsourcing via an optimization framework Y Zhou, L Ying, J He ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (3), 1-26, 2019 | 13 | 2019 |
| Optimizing the wisdom of the crowd: Inference, learning, and teaching Y Zhou, F Ma, J Gao, J He Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 11 | 2019 |
| Towards high-order complementary recommendation via logical reasoning network L Wu, Y Zhou, D Zhou 2022 IEEE International Conference on Data Mining (ICDM), 1227-1232, 2022 | 9 | 2022 |
| A winners-take-all incentive mechanism for crowd-powered systems P Jiang, W Wang, Y Zhou, J He, L Ying Proceedings of the 13th Workshop on Economics of Networks, Systems and …, 2018 | 4 | 2018 |
| Side Information-Driven Session-based Recommendation: A Survey X Zhang, B Xu, C Li, Y Zhou, L Li, H Lin arXiv preprint arXiv:2402.17129, 2024 | 2 | 2024 |
| Optimizing the wisdom of the crowd: Learning, teaching, and recommendation Y Zhou University of Illinois Urbana Champaign, 2022 | | 2022 |
Jingrui HeUniversity of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证