| Federated adversarial debiasing for fair and transferable representations J Hong, Z Zhu, S Yu, Z Wang, HH Dodge, J Zhou Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 54 | 2021 |
| Turning the curse of heterogeneity in federated learning into a blessing for out-of-distribution detection S Yu, J Hong, H Wang, Z Wang, J Zhou 2023 International Conference on Learning Representations, 2023 | 13 | 2023 |
| Tackle balancing constraint for incremental semi-supervised support vector learning S Yu, B Gu, K Ning, H Chen, J Pei, H Huang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 8 | 2019 |
| Revisiting Data-Free Knowledge Distillation with Poisoned Teachers J Hong*, Y Zeng*, S Yu*, L Lyu, R Jia, J Zhou arXiv preprint arXiv:2306.02368, 2023 | 7 | 2023 |
| Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning S Yu, J Hong, Y Zeng, F Wang, R Jia, J Zhou | 6 | 2023 |
| A kernel path algorithm for general parametric quadratic programming problem B Gu, Z Xiong, S Yu, G Zheng Pattern Recognition 116, 107941, 2021 | 4 | 2021 |
| Safe and Robust Watermark Injection with a Single OoD Image S Yu, J Hong, H Zhang, H Wang, Z Wang, J Zhou arXiv preprint arXiv:2309.01786, 2023 | 3 | 2023 |
| Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs S Yu, R Bao, P Bhatia, T Kass-Hout, J Zhou, C Xiao arXiv preprint arXiv:2410.23605, 2024 | 1 | 2024 |
| Global Model Selection for Semi-Supervised Support Vector Machine via Solution Paths Y Fan*, S Yu*, B Gu, Z Xiong, Z Zhai, H Huang, Y Chang IEEE Transactions on Neural Networks and Learning Systems, 2024 | 1 | 2024 |
| Robust Unsupervised Domain Adaptation from A Corrupted Source S Yu, Z Zhu, B Liu, AK Jain, J Zhou 2022 IEEE International Conference on Data Mining (ICDM), 1299-1304, 2022 | 1 | 2022 |
Jiayu ZhouUniversity of Michigan在 umich.edu 的电子邮件经过验证
