| 2026 | WWW | FL@FM-TheWebConf'26: The 3rd International Workshop on Federated Foundation Models for the Web. | Irwin King, Guodong Long, Zenglin Xu, Han Yu, Xiaoli Tang, Liping Yi |
| 2025 | AAAI | 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 |
| 2025 | AAAI | pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning. | Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li |
| 2025 | ICASSP | Multi-source Data Lossless Compression via Parallel Expansion Mapping and xLSTM. | Huidong Ma, Hui Sun, Liping Yi, Xiaoguang Liu, Gang Wang |
| 2025 | ICASSP | 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 |
| 2025 | ICASSP | HFedPFS: Heterogeneous Federated Learning with Personalized Data Feature Sharing. | Jingxian Xu, Liping Yi, Gang Wang, Xiaoguang Liu |
| 2025 | ICCV | Federated Representation Angle Learning. | Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu, Xiaoxiao Li |
| 2025 | ICDE | pFedAFM: Adaptive Feature Mixture for Data-Level Personalization in Heterogeneous Federated Learning on Mobile Edge Devices. | Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu, Xiaoxiao Li |
| 2025 | KDD | 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 |
| 2025 | WWW | 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 |
| 2024 | DASFAA | 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 |
| 2024 | IJCAI | 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 |
| 2024 | PAKDD | APFL: Active-Passive Forgery Localization for Medical Images. | Nan Wang, Jiaqi Shi, Liping Yi, Gang Wang, Ming Su, Xiaoguang Liu |
| 2023 | ICANN | pFedLHNs: Personalized Federated Learning via Local Hypernetworks. | Liping Yi, Xiaorong Shi, Nan Wang, Ziyue Xu, Gang Wang, Xiaoguang Liu |
| 2023 | ICASSP | FFEDCL: Fair Federated Learning with Contrastive Learning. | Xiaorong Shi, Liping Yi, Xiaoguang Liu, Gang Wang |
| 2023 | IJCNN | MemAU-Net: Memory-Enhanced Attention U-Net for Medical Image Forgery Localization. | Nan Wang, Liping Yi, Gang Wang, Xiaoguang Liu |
| 2023 | IJCNN | FedRRA: Reputation-Aware Robust Federated Learning against Poisoning Attacks. | Liping Yi, Xiaorong Shi, Wenrui Wang, Gang Wang, Xiaoguang Liu |
| 2023 | ICWS | FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness. | Zhuan Shi, Zhenyu Yao, Liping Yi, Han Yu, Lan Zhang, Xiang-Yang Li |
| 2022 | ICML | QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning. | Liping Yi, Gang Wang, Xiaoguang Liu |
| 2020 | ICANN | 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 |
| 2019 | NPC | Two-Erasure Codes from 3-Plexes. | Liping Yi, Rebecca J. Stones, Gang Wang |