| How does disagreement help generalization against label corruption? X Yu, B Han, J Yao, G Niu, IW Tsang, M Sugiyama International Conference on Machine Learning, 2019 | 524 | 2019 |
| Masking: A new perspective of noisy supervision B Han*, J Yao*, G Niu, M Zhou, I Tsang, Y Zhang, M Sugiyama Advances in Neural Information Processing Systems, 5836-5846, 2018 | 200 | 2018 |
| Deep learning from noisy image labels with quality embedding J Yao, J Wang, IW Tsang, Y Zhang, J Sun, C Zhang, R Zhang IEEE Transactions on Image Processing 28 (4), 1909-1922, 2018 | 85 | 2018 |
| Sparse-interest network for sequential recommendation Q Tan, J Zhang, J Yao, N Liu, J Zhou, H Yang, X Hu Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 54 | 2021 |
| Safeguarded dynamic label regression for noisy supervision J Yao, H Wu, Y Zhang, IW Tsang, J Sun Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9103-9110, 2019 | 47 | 2019 |
| Collaborative learning for weakly supervised object detection J Wang, J Yao, Y Zhang, R Zhang IJCAI, 2018 | 43 | 2018 |
| Learning on Attribute-Missing Graphs X Chen, S Chen, J Yao, H Zheng, Y Zhang, IW Tsang IEEE transactions on pattern analysis and machine intelligence, 2020 | 36 | 2020 |
| Joint latent dirichlet allocation for social tags J Yao, Y Wang, Y Zhang, J Sun, J Zhou IEEE Transactions on Multimedia 20 (1), 224-237, 2017 | 27 | 2017 |
| Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI J Yao, S Zhang, Y Yao, F Wang, J Ma, J Zhang, Y Chu, L Ji, K Jia, T Shen, ... IEEE Transactions on Knowledge and Data Engineering, 2022 | 23 | 2022 |
| Bayes embedding (bem) refining representation by integrating knowledge graphs and behavior-specific networks Y Ye, X Wang, J Yao, K Jia, J Zhou, Y Xiao, H Yang Proceedings of the 28th ACM international conference on information and …, 2019 | 23 | 2019 |
| Device-Cloud Collaborative Learning for Recommendation J Yao, F Wang, KY Jia, B Han, J Zhou, H Yang KDD 2021, 2021 | 20 | 2021 |
| Reliable Adversarial Distillation with Unreliable Teachers J Zhu, J Yao, B Han, J Zhang, T Liu, G Niu, J Zhou, J Xu, H Yang International Conference on Learning Representation, 2022 | 18 | 2022 |
| Degeneration in vae: in the light of fisher information loss H Zheng, J Yao, Y Zhang, IW Tsang arXiv preprint arXiv:1802.06677, 2018 | 15 | 2018 |
| Understanding vaes in fisher-shannon plane H Zheng, J Yao, Y Zhang, IW Tsang, J Wang Proceedings of the AAAI conference on artificial intelligence 33 (01), 5917-5924, 2019 | 12 | 2019 |
| Device-Cloud Collaborative Recommendation via Meta Controller J Yao, F Wang, X Ding, S Chen, B Han, J Zhou, H Yang KDD 2022, 2022 | 7 | 2022 |
| Graph neural networks in modern recommender systems Y Chu, J Yao, C Zhou, H Yang Graph Neural Networks: Foundations, Frontiers, and Applications, 423-445, 2022 | 7 | 2022 |
| Contrastive attraction and contrastive repulsion for representation learning H Zheng, X Chen, J Yao, H Yang, C Li, Y Zhang, H Zhang, I Tsang, J Zhou, ... arXiv preprint arXiv:2105.03746, 2021 | 7* | 2021 |
| Variational collaborative learning for user probabilistic representation K Cui, X Chen, J Yao, Y Zhang AAAI workshop, 2018 | 7 | 2018 |
| CogKR: cognitive graph for multi-hop knowledge reasoning Z Du, C Zhou, J Yao, T Tu, L Cheng, H Yang, J Zhou, J Tang IEEE Transactions on Knowledge and Data Engineering, 2021 | 6 | 2021 |
| Discovering user interests from social images J Yao, Y Zhang, I Tsang, J Sun MultiMedia Modeling: 23rd International Conference, MMM 2017, Reykjavik …, 2017 | 6 | 2017 |
Ya ZhangShanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
