Conference Publications

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

Published in 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025

Huidong Ma, Hui Sun, Liping Yi, Xiaoguang Liu$^{\ast}$, Gang Wang$^{\ast}$

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

Published in 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025

Hui Sun$^{\dagger}$, Yanfeng Ding$^{\dagger}$, Liping Yi, Huidong Ma, Haonan Xie, Gang Wang$^{\ast}$, Xiaoguang Liu$^{\ast}$

17. HFedPFS: Heterogeneous Federated Learning with Personalized Data Feature Sharing

Published in 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025

Jingxian Xu$^{\dagger}$, Liping Yi$^{\dagger}$, Gang Wang$^{\ast}$, Xiaoguang Liu$^{\ast}$

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

Published in The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025

Liping Yi, Han Yu, Chao Ren, Gang Wang$^{\ast}$, Xiaoguang Liu$^{\ast}$, Xiaoxiao Li

15. Genomics Data Lossless Compression with $(s,k)$-mer Encoding and Deep Neural Networks

Published in The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025

Hui Sun, Liping Yi, Huidong Ma, Yongxia Sun, Yingfeng Zheng, Wenwen Cui, Meng Yan, Gang Wang$^{\ast}$, Xiaoguang Liu$^{\ast}$

14. Enhancing Causal Discovery in Federated Settings with Limited Local Samples

Published in International Workshop on Federated Foundation Models in Conjunction with NeurIPS 2024 (FL@FM-NeurIPS), Oral, Outstanding Student Paper Award, 2024

Xianjie Guo$^{\dagger}$, Liping Yi$^{\dagger}$, Xiaohu Wu, Kui Yu$^{\ast}$, Gang Wang$^{\ast}$

13. Federated Model Heterogeneous Matryoshka Representation Learning

Published in Proc. of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), CCF-A, 2024

Liping Yi, Han Yu, Chao Ren, Gang Wang$^{\ast}$, Xiaoguang Liu$^{\ast}$, Xiaoxiao Li

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

Published in Proc. of the 33rd International Joint Conference on Artificial Intelligence (IJCAI), CCF-A, 2024

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

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

Published in Proc. of the 29th International Conference on Database Systems for Advanced Applications (DASFAA), CCF-B, 2024

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

10. APFL: Active-Passive Forgery Localization for Medical Image

Published in Proc. of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), CCF-C, 2024

Nan Wang$^{\dagger}$, Jiaqi Shi$^{\dagger}$, Liping Yi, Gang Wang, Ming Su, Xiaoguang Liu

9. FedGH: Heterogeneous Federated Learning with Generalized Global Header

Published in Proc. of the 31st ACM International Conference on Multimedia (MM), CCF-A, 2023

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

8. pFedLHNs: Personalized Federated Learning via Local Hypernetworks

Published in Proc. of the 32th International Conference on Artificial Neural Networks (ICANN), CCF-C, 2023

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

7. FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness

Published in Proc. of IEEE International Conference on Web Services (ICWS), CCF-B, 2023

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

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

Published in Proc. of IEEE International Joint Conference on Neural Network (IJCNN), CCF-C, 2023

Nan Wang, Liping Yi, Gang Wang, Xiaoguang Liu

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

Published in Proc. of IEEE International Joint Conference on Neural Network (IJCNN), CCF-C, 2023

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

4. FFedCL: Fair Federated Learning with Contrastive Learning

Published in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), CCF-B, 2023

Xiaorong Shi, Liping Yi, Xiaoguang Liu, Gang Wang

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

Published in Proc. of the 39th International Conference on Machine Learning (ICML), CCF-A, 2022

Liping Yi, Gang Wang, Xiaoguang Liu

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

Published in Proc. of the 29th International Conference on Artificial Neural Networks (ICANN), CCF-C, 2020

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

1. Two-Erasure Codes from 3-Plexes

Published in Proc. of the 16th IFIP International Conference on Network and Parallel Computing (NPC), CCF-C, 2019

Liping Yi, Rebecca J. Stones, Gang Wang

Liping Yi

Conference Publications

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

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

17. HFedPFS: Heterogeneous Federated Learning with Personalized Data Feature Sharing

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

15. Genomics Data Lossless Compression with $(s,k)$-mer Encoding and Deep Neural Networks

14. Enhancing Causal Discovery in Federated Settings with Limited Local Samples

13. Federated Model Heterogeneous Matryoshka Representation Learning

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

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

10. APFL: Active-Passive Forgery Localization for Medical Image

9. FedGH: Heterogeneous Federated Learning with Generalized Global Header

8. pFedLHNs: Personalized Federated Learning via Local Hypernetworks

7. FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness

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

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

4. FFedCL: Fair Federated Learning with Contrastive Learning

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

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

1. Two-Erasure Codes from 3-Plexes

Journal Publications

5. Advances and Open Challenges in Federated Foundation Models

4. A Survey and Benchmark Evaluation for Neural-Network-Based Lossless Universal Compressors Toward Multi-Source Data

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

2. pFedKT: Personalized Federated Learning with Dual Knowledge Transfer

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