Multi-Objective Meta Learning. - Feiyang Ye 001; Baijiong Lin; Zhixiong Yue; Pengxin Guo; Qiao Xiao; Yu Zhang 006 (NeurIPS, 2021)

Safe Multi-Task Learning. - Pengxin Guo; Feiyang Ye 001; Yu Zhang 006 (CoRR, 2021)

A Closer Look at Loss Weighting in Multi-Task Learning. - Baijiong Lin; Feiyang Ye 001; Yu Zhang 006 (CoRR, 2021)

Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning. - Baijiong Lin; Feiyang Ye 001; Yu Zhang 006; Ivor W. Tsang (Trans. Mach. Learn. Res., 2022)

Multi-Task Learning via Time-Aware Neural ODE. - Feiyang Ye 001; Xuehao Wang; Yu Zhang 006; Ivor W. Tsang (IJCAI, 2023)

Partially-Labeled Domain Generalization via Multi-Dimensional Domain Adaptation. - Feiyang Ye 001; Jianghan Bao; Yu Zhang 006 (IJCNN, 2023)

A Scale-Invariant Task Balancing Approach for Multi-Task Learning. - Baijiong Lin; Weisen Jiang; Feiyang Ye 001; Yu Zhang 006; Pengguang Chen; Ying-Cong Chen; Shu Liu 005 (CoRR, 2023)

A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. - Jinjing Zhu; Feiyang Ye 001; Qiao Xiao; Pengxin Guo; Yu Zhang 006; Qiang Yang 001 (CoRR, 2023)

A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. - Feiyang Ye 001; Baijiong Lin; Xiaofeng Cao 002; Yu Zhang 006; Ivor W. Tsang (ECAI, 2024)

Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning. - Feiyang Ye 001; Yueming Lyu; Xuehao Wang; Yu Zhang 006; Ivor W. Tsang (ICLR, 2024)

Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting. - Jinliang Deng; Feiyang Ye 001; Du Yin; Xuan Song 001; Ivor W. Tsang; Hui Xiong 001 (NeurIPS, 2024)

Multi-objective meta-learning. - Feiyang Ye 001; Baijiong Lin; Zhixiong Yue; Yu Zhang 006; Ivor W. Tsang (Artif. Intell., 2024)

Task-Aware Low-Rank Adaptation of Segment Anything Model. - Xuehao Wang; Feiyang Ye 001; Yu Zhang 006 (CoRR, 2024)

A Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting. - Jinjing Zhu; Feiyang Ye 001; Qiao Xiao; Pengxin Guo; Yu Zhang 006; Qiang Yang 001 (IEEE Trans. Image Process., 2024)

Sharpness-Aware Black-Box Optimization. - Feiyang Ye 001; Yueming Lyu; Xuehao Wang; Masashi Sugiyama; Yu Zhang 006; Ivor W. Tsang (ICLR, 2025)

MTSAM: Multi-Task Fine-Tuning for Segment Anything Model. - Xuehao Wang; Zhan Zhuang; Feiyang Ye 001; Yu Zhang 006 (ICLR, 2025)