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ORCIDLiping Yi
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2020 – today
- 2024
[j3]Liping Yi
, Xiaorong Shi, Nan Wang, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu:
pFedKT: Personalized federated learning with dual knowledge transfer. Knowl. Based Syst. 292: 111633 (2024)- [j2]Liping Yi, Xiaorong Shi, Nan Wang, Jinsong Zhang, Gang Wang, Xiaoguang Liu:
FedPE: Adaptive Model Pruning-Expanding for Federated Learning on Mobile Devices. IEEE Trans. Mob. Comput. 23(11): 10475-10493 (2024) - [j1]Liping Yi, Gang Wang, Xiaofei Wang, Xiaoguang Liu:
QSFL: Two-Level Communication-Efficient Federated Learning on Mobile Edge Devices. IEEE Trans. Serv. Comput. 17(6): 4166-4182 (2024) - [c12]Ziyue Xu, Sutong Huang, Di Fei, Liping Yi, Chenfei Zhou, Gang Wang, Xiaoguang Liu, Xinyu Liu, Wenqing Yu, Zijing Wei, Shaozhi Liu:
AdpDM: Adaptive Data Model for Efficient Dynamic Management of Large-Scale High-Cardinality Time-Series Databases. DASFAA (5) 2024: 409-425 - [c11]Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li:
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning. IJCAI 2024: 5371-5379 - [c10]Nan Wang, Jiaqi Shi, Liping Yi, Gang Wang, Ming Su, Xiaoguang Liu:
APFL: Active-Passive Forgery Localization for Medical Images. PKDD (4) 2024: 181-193 - [i7]Liping Yi, Han Yu, Chao Ren, Heng Zhang, Gang Wang, Xiaoguang Liu, Xiaoxiao Li:
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning. CoRR abs/2402.01350 (2024) - [i6]Liping Yi, Han Yu, Chao Ren, Heng Zhang, Gang Wang, Xiaoguang Liu, Xiaoxiao Li:
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning. CoRR abs/2404.17847 (2024) - [i5]Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li:
Federated Model Heterogeneous Matryoshka Representation Learning. CoRR abs/2406.00488 (2024) - 2023
- [c9]Liping Yi, Xiaorong Shi, Nan Wang, Ziyue Xu, Gang Wang, Xiaoguang Liu:
pFedLHNs: Personalized Federated Learning via Local Hypernetworks. ICANN (3) 2023: 516-528 - [c8]Xiaorong Shi, Liping Yi, Xiaoguang Liu, Gang Wang:
FFEDCL: Fair Federated Learning with Contrastive Learning. ICASSP 2023: 1-5 - [c7]Zhuan Shi, Zhenyu Yao, Liping Yi, Han Yu, Lan Zhang, Xiang-Yang Li:
FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness. ICWS 2023: 152-160 - [c6]Nan Wang, Liping Yi, Gang Wang, Xiaoguang Liu:
MemAU-Net: Memory-Enhanced Attention U-Net for Medical Image Forgery Localization. IJCNN 2023: 1-7 - [c5]Liping Yi, Xiaorong Shi, Wenrui Wang, Gang Wang, Xiaoguang Liu:
FedRRA: Reputation-Aware Robust Federated Learning against Poisoning Attacks. IJCNN 2023: 1-8 - [c4]Liping Yi, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu:
FedGH: Heterogeneous Federated Learning with Generalized Global Header. ACM Multimedia 2023: 8686-8696 - [i4]Liping Yi, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu:
FedGH: Heterogeneous Federated Learning with Generalized Global Header. CoRR abs/2303.13137 (2023) - [i3]Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu:
FedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning. CoRR abs/2310.13283 (2023) - [i2]Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu:
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing. CoRR abs/2311.06879 (2023) - [i1]Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu:
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning. CoRR abs/2312.09006 (2023) - 2022
- [c3]Liping Yi, Gang Wang, Xiaoguang Liu:
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning. ICML 2022: 25501-25513 - 2020
- [c2]Liping Yi, Jinsong Zhang, Rui Zhang, Jiaqi Shi, Gang Wang, Xiaoguang Liu:
SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor Segmentation. ICANN (1) 2020: 761-773
2010 – 2019
- 2019
- [c1]Liping Yi, Rebecca J. Stones, Gang Wang:
Two-Erasure Codes from 3-Plexes. NPC 2019: 264-276
Coauthor Index
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