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Feiyang Ye
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2020 – today
- 2024
- [j5]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: 101575 (2024) - [j4]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) - [j3]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): 530-540 (2024) - [i9]Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, Ivor W. Tsang:
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. CoRR abs/2401.09257 (2024) - [i8]Xuehao Wang, Feiyang Ye, Yu Zhang:
Task-Aware Low-Rank Adaptation of Segment Anything Model. CoRR abs/2403.10971 (2024) - 2023
- [j2]Feiyang Ye, Liang Huang, Senjie Liang, Kaikai Chi:
Decomposed Two-Stage Prompt Learning for Few-Shot Named Entity Recognition. Inf. 14(5): 262 (2023) - [c5]Feiyang Ye, Xuehao Wang, Yu Zhang, Ivor W. Tsang:
Multi-Task Learning via Time-Aware Neural ODE. IJCAI 2023: 4495-4503 - [c4]Feiyang Ye, Jianghan Bao, Yu Zhang:
Partially-Labeled Domain Generalization via Multi-Dimensional Domain Adaptation. IJCNN 2023: 1-8 - [i7]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 abs/2308.12029 (2023) - [i6]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 abs/2310.00339 (2023) - [i5]Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang:
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. CoRR abs/2312.05024 (2023) - 2022
- [j1]Baijiong Lin, Feiyang Ye, Yu Zhang, Ivor W. Tsang:
Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning. Trans. Mach. Learn. Res. 2022 (2022) - [c3]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: 2199-2209 - [c2]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: 359-371 - [i4]Liang Huang, Senjie Liang, Feiyang Ye, Nan Gao:
A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devices. CoRR abs/2205.07646 (2022) - 2021
- [c1]Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang:
Multi-Objective Meta Learning. NeurIPS 2021: 21338-21351 - [i3]Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang:
Multi-Objective Meta Learning. CoRR abs/2102.07121 (2021) - [i2]Pengxin Guo, Feiyang Ye, Yu Zhang:
Safe Multi-Task Learning. CoRR abs/2111.10601 (2021) - [i1]Baijiong Lin, Feiyang Ye, Yu Zhang:
A Closer Look at Loss Weighting in Multi-Task Learning. CoRR abs/2111.10603 (2021)
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last updated on 2024-07-09 03:25 CEST by the dblp team
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