Feiyang Ye

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Multitask Learning

Gaussian Processes

Domain Adaptation

Top Venues

Expert Syst. J. Knowl. Eng.

Publications

Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, Ivor W. Tsang
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. CoRR (2024)
Xuehao Wang, Feiyang Ye, Yu Zhang
Task-Aware Low-Rank Adaptation of Segment Anything Model. CoRR (2024)
Peichao Lai, Feiyang Ye, Yanggeng Fu, Zhiwei Chen, Yingjie Wu, Yilei Wang
M-Sim: Multi-level Semantic Inference Model for Chinese short answer scoring in low-resource scenarios. Comput. Speech Lang. 84 (2024)
Peichao Lai, Feiyang Ye, Yanggeng Fu, Zhiwei Chen, Yingjie Wu, Yilei Wang, Victor Chang
CogNLG: Cognitive graph for KG-to-text generation. Expert Syst. J. Knowl. Eng. 41 (1) (2024)
Liang Huang, Senjie Liang, Feiyang Ye, Nan Gao
A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devices. IEEE Trans. Artif. Intell. 5 (2) (2024)
Feiyang Ye, Xuehao Wang, Yu Zhang, Ivor W. Tsang
Multi-Task Learning via Time-Aware Neural ODE. IJCAI (2023)
Feiyang Ye, Jianghan Bao, Yu Zhang
Partially-Labeled Domain Generalization via Multi-Dimensional Domain Adaptation. IJCNN (2023)
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. CoRR (2023)
Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu
A Scale-Invariant Task Balancing Approach for Multi-Task Learning. CoRR (2023)
Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. CoRR (2023)
Feiyang Ye, Liang Huang, Senjie Liang, Kaikai Chi
Decomposed Two-Stage Prompt Learning for Few-Shot Named Entity Recognition. Inf. 14 (5) (2023)
Baijiong Lin, Feiyang Ye, Yu Zhang, Ivor Tsang
Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning. Trans. Mach. Learn. Res. 2022 (2022)
Liang Huang, Senjie Liang, Feiyang Ye, Nan Gao
A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devices. CoRR (2022)
Peichao Lai, Feiyang Ye, Lin Zhang, Zhiwei Chen, Yanggeng Fu, Yingjie Wu, Yilei Wang
PCBERT: Parent and Child BERT for Chinese Few-shot NER. COLING (2022)
Lin Zhang, Peichao Lai, Feiyang Ye, Ruixiong Fang, Ruiqing Wang, Jiayong Li, Yilei Wang
Chinese Medical Named Entity Recognition Using External Knowledge. PRICAI (2) (2022)
Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang
Multi-Objective Meta Learning. NeurIPS (2021)
Pengxin Guo, Feiyang Ye, Yu Zhang
Safe Multi-Task Learning. CoRR (2021)
Baijiong Lin, Feiyang Ye, Yu Zhang
A Closer Look at Loss Weighting in Multi-Task Learning. CoRR (2021)
Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang
Multi-Objective Meta Learning. CoRR (2021)