Ye, Feiyang

8 publications

ICLR 2025 MTSAM: Multi-Task Fine-Tuning for Segment Anything Model Xuehao Wang, Zhan Zhuang, Feiyang Ye, Yu Zhang

ICLR 2025 Sharpness-Aware Black-Box Optimization Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor Tsang

ICLR 2024 Adaptive Stochastic Gradient Algorithm for Black-Box Multi-Objective Learning Feiyang Ye, Yueming Lyu, Xuehao Wang, Yu Zhang, Ivor Tsang

NeurIPS 2024 FedLPA: One-Shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li

NeurIPS 2024 Parsimony or Capability? Decomposition Delivers Both in Long-Term Time Series Forecasting Jinliang Deng, Feiyang Ye, Du Yin, Xuan Song, Ivor Tsang, Hui Xiong

IJCAI 2023 Multi-Task Learning via Time-Aware Neural ODE Feiyang Ye, Xuehao Wang, Yu Zhang, Ivor W. Tsang

TMLR 2022 Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning Baijiong Lin, Feiyang Ye, Yu Zhang, Ivor Tsang

NeurIPS 2021 Multi-Objective Meta Learning Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang