Xuehao Wang, Feiyang Ye, and Yu Zhang. Task-Aware Low-Rank Adaptation of Segment Anything Model. Preprint.

Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, and Ivor W. Tsang. A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. Preprint.

Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu, James Kwok. Dual-Balancing for Multi-Task Learning. Preprint.

Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li. FedLPA: Personalized One-shot Federated Learning with Layer-Wise Posterior Aggregation. Preprint.

Zhixiong Yue^*, Feiyang Ye^*, Yu Zhang, Christy Liang, Ivor W. Tsang. Deep Safe Multi-Task Learning. Preprint.

Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang. A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. Preprint.

Feiyang Ye^*, Yueming Lyu^*, Xuehao Wang, Yu Zhang, and Ivor W. Tsang. Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning. Accepted In International Conference on Learning Representations (ICLR), 2024

Yang Li, Zelin Wu, and Feiyang Ye. Evolutionary Neural Networks for Option Pricing: Multi-Assets Option and Exotic Option. In Proceedings of the AAAI Symposium Series, 2023

Feiyang Ye^*, Xuehao Wang^*, Yu Zhang, and Ivor W. Tsang. Multi-Task Learning via Time-Aware Neural ODE. In International Joint Conference on Artificial Intelligence (IJCAI), 2023

Feiyang Ye^*, Jianghan Bao^*, Yu Zhang. Partially-Labeled Domain Generalization via Multi-Dimensional Domain Adaptation. In International Joint Conference on Neural Networks (IJCNN), 2023

Feiyang Ye^*, Baijiong Lin^*, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang. Multi-Objective Meta Learning. In Conference on Neural Information Processing Systems (NeurIPS), 2021

Baijiong Lin, Feiyang Ye, Yu Zhang, and Ivor W. Tsang. Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning. Transactions on Machine Learning Research (TMLR), 2022

IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)

IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)