Conference Publications

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

Published in ACM KDD 2025, CCF-A, 2025

Hui Sun, Yanfeng Ding, Liping Yi, Huidong Ma, Gang Wang$^{\ast}$, Xiaoguang Liu$^{\ast}$, Cheng Zhong, Wentong Cai

21. pFedAFM: Adaptive Feature Mixture for Data-Level Personalization in Heterogeneous Federated Learning on Mobile Edge Devices

Published in 41st IEEE International Conference on Data Engineering (ICDE), CCF-A, 2025

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

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

Published in The Web Conference (WWW), CCF-A, 2025

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

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), CCF-B, 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), CCF-B, 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), CCF-B, 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), CCF-A, 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), CCF-A, 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

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

21. pFedAFM: Adaptive Feature Mixture for Data-Level Personalization in Heterogeneous Federated Learning on Mobile Edge Devices

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

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