Liping Yi

According to our database, Liping Yi authored at least 29 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A survey and benchmark evaluation for neural-network-based lossless universal compressors toward multi-source data.

Hui Sun, Huidong Ma, Feng Ling, Haonan Xie, Yongxia Sun, Liping Yi, Meng Yan, Cheng Zhong, Xiaoguang Liu, Gang Wang

Frontiers Comput. Sci., July, 2025

PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database.

Hui Sun, Yanfeng Ding, Liping Yi, Huidong Ma, Gang Wang, Xiaoguang Liu, Cheng Zhong, Wentong Cai

CoRR, July, 2025

MSDZip: Universal Lossless Compression for Multi-source Data via Stepwise-parallel and Learning-based Prediction.

Huidong Ma, Hui Sun, Liping Yi, Yanfeng Ding, Xiaoguang Liu, Gang Wang

Proceedings of the ACM on Web Conference 2025, 2025

HFedPFS: Heterogeneous Federated Learning with Personalized Data Feature Sharing.

Jingxian Xu, Liping Yi, Gang Wang, Xiaoguang Liu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Adaptive Lossless Compression for Genomics Data by Multiple (s, k)-mer Encoding and XLSTM.

Hui Sun, Yanfeng Ding, Liping Yi, Huidong Ma, Haonan Xie, Gang Wang, Xiaoguang Liu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multi-source Data Lossless Compression via Parallel Expansion Mapping and xLSTM.

Huidong Ma, Hui Sun, Liping Yi, Xiaoguang Liu, Gang Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning.

Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks.

Hui Sun, Liping Yi, Huidong Ma, Yongxia Sun, Yingfeng Zheng, Wenwen Cui, Meng Yan, Gang Wang, Xiaoguang Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

FedPE: Adaptive Model Pruning-Expanding for Federated Learning on Mobile Devices.

Liping Yi, Xiaorong Shi, Nan Wang, Jinsong Zhang, Gang Wang, Xiaoguang Liu

IEEE Trans. Mob. Comput., November, 2024

QSFL: Two-Level Communication-Efficient Federated Learning on Mobile Edge Devices.

Liping Yi, Gang Wang, Xiaofei Wang, Xiaoguang Liu

IEEE Trans. Serv. Comput., 2024

pFedKT: Personalized federated learning with dual knowledge transfer.

Liping Yi, Xiaorong Shi, Nan Wang, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu

Knowl. Based Syst., 2024

pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning.

Liping Yi, Han Yu, Chao Ren, Heng Zhang, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

CoRR, 2024

pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning.

Liping Yi, Han Yu, Chao Ren, Heng Zhang, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

CoRR, 2024

APFL: Active-Passive Forgery Localization for Medical Images.

Nan Wang, Jiaqi Shi, Liping Yi, Gang Wang, Ming Su, Xiaoguang Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Federated Model Heterogeneous Matryoshka Representation Learning.

Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning.

Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

AdpDM: Adaptive Data Model for Efficient Dynamic Management of Large-Scale High-Cardinality Time-Series Databases.

Ziyue Xu, Sutong Huang, Di Fei, Liping Yi, Chenfei Zhou, Gang Wang, Xiaoguang Liu, Xinyu Liu, Wenqing Yu, Zijing Wei, Shaozhi Liu

Proceedings of the Database Systems for Advanced Applications, 2024

2023

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning.

Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu

CoRR, 2023

pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing.

Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu

CoRR, 2023

FedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning.

Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu

CoRR, 2023

FedGH: Heterogeneous Federated Learning with Generalized Global Header.

Liping Yi, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

FedRRA: Reputation-Aware Robust Federated Learning against Poisoning Attacks.

Liping Yi, Xiaorong Shi, Wenrui Wang, Gang Wang, Xiaoguang Liu

Proceedings of the International Joint Conference on Neural Networks, 2023

MemAU-Net: Memory-Enhanced Attention U-Net for Medical Image Forgery Localization.

Nan Wang, Liping Yi, Gang Wang, Xiaoguang Liu

Proceedings of the International Joint Conference on Neural Networks, 2023

FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness.

Zhuan Shi, Zhenyu Yao, Liping Yi, Han Yu, Lan Zhang, Xiang-Yang Li

Proceedings of the IEEE International Conference on Web Services, 2023

FFEDCL: Fair Federated Learning with Contrastive Learning.

Xiaorong Shi, Liping Yi, Xiaoguang Liu, Gang Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

pFedLHNs: Personalized Federated Learning via Local Hypernetworks.

Liping Yi, Xiaorong Shi, Nan Wang, Ziyue Xu, Gang Wang, Xiaoguang Liu

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning.

Liping Yi, Gang Wang, Xiaoguang Liu

Proceedings of the International Conference on Machine Learning, 2022

2020

SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor Segmentation.

Liping Yi, Jinsong Zhang, Rui Zhang, Jiaqi Shi, Gang Wang, Xiaoguang Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Two-Erasure Codes from 3-Plexes.

Liping Yi, Rebecca J. Stones, Gang Wang

Proceedings of the Network and Parallel Computing, 2019