Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning B Lin, F Ye, Z Yu, I Tsang Transactions on Machine Learning Research, 2022 | 94* | 2022 |
Multi-Objective Meta Learning F Ye*, B Lin*, Z Yue, P Guo, Q Xiao, Y Zhang Conference on Neural Information Processing Systems (NeurIPS), 2021 | 38 | 2021 |
Deep Safe Multi-Task Learning Z Yue*, F Ye*, Y Zhang, C Liang, I Tsang arXiv preprint arXiv:2111.10601, 2021 | 5 | 2021 |
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting J Zhu, F Ye, Q Xiao, P Guo, Y Zhang, Q Yang arXiv preprint arXiv:2312.05024, 2023 | 1 | 2023 |
Dual-Balancing for Multi-Task Learning B Lin, W Jiang, F Ye, Y Zhang, P Chen, YC Chen, S Liu, J Kwok arXiv preprint arXiv:2308.12029, 2023 | 1 | 2023 |
Task-Aware Low-Rank Adaptation of Segment Anything Model X Wang, F Ye, Y Zhang arXiv preprint arXiv:2403.10971, 2024 | | 2024 |
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization F Ye, B Lin, X Cao, Y Zhang, I Tsang arXiv preprint arXiv:2401.09257, 2024 | | 2024 |
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning F Ye*, Y Lyu*, X Wang, Y Zhang, I Tsang International Conference on Learning Representations (ICLR), 2024 | | 2024 |
Evolutionary Neural Networks for Option Pricing: Multi-Assets Option and Exotic Option Y Li, Z Wu, F Ye Proceedings of the AAAI Symposium Series 1 (1), 46-51, 2023 | | 2023 |
FedLPA: Personalized One-shot Federated Learning with Layer-Wise Posterior Aggregation X Liu, L Liu, F Ye, Y Shen, X Li, L Jiang, J Li arXiv preprint arXiv:2310.00339, 2023 | | 2023 |
Multi-Task Learning via Time-Aware Neural ODE F Ye*, X Wang*, Y Zhang, I Tsang 2023 International Joint Conference on Artificial Intelligence (IJCAI), 4495 …, 2023 | | 2023 |
Partially-Labeled Domain Generalization via Multi-Dimensional Domain Adaptation F Ye*, J Bao*, Y Zhang 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |