- .Yixuan Guan, Xuefeng Liu*, Jianwei Niu Tao Ren，FedTC: Enabling Communication-Efficient Federated Learning via Transform Coding, INFOCOM 2024 (CCF A)
- .Xiaozheng Xie, Chen Chen, Xuefeng Liu*, Yong Wang, Rui Wang, and Jianwei Niu , IMAN: An Iterative Mutual-Aid Network for Breast Lesion Segmentation on Multi-modal Ultrasound Images, IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023). (CCF B)
- .Xiaozheng Xie a, Jianwei Niu, Xuefeng Liu*, Yong Wang, Qingfeng Li, Shaojie Tang, A Domain Knowledge Powered Hybrid Regularization Strategy for Semi-supervised Breast Cancer Diagnosis, Expert Systems with Applications, 2024. (JCR Q1)
- .Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, and Shaojie Tang. Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration. ICCV, 2023. (CCF-A)
- .Wei Chen, Jianwei Niu, Xuefeng Liu*. MRCAP: Multi-Modal and Multi-Level Relationship-Based Dense Video Captioning[C]. IEEE International Conference on Multimedia and Expo (ICME), 2023. (CCF-B)
- .Pan Deng, Xuefeng Liu, Jianwei Niu, Chunming Hu. GraphFed: A Personalized Subgraph Federated Learning Framework for Non-IID Graphs[C]. IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS), 2023. (CCF-C)
- .Hao Su, Xuefeng Liu, Jianwei Niu, Jiahe Cui, Ji Wan, Xinghao Wu, Nana Wang. MARVEL: Raster Gray-level Manga Vectorization via Primitive-wise Deep Reinforcement Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. (CCF-B)
- .Guogang Zhu, Xuefeng Liu*, Shaojie Tang, and Jianwei Niu. Aligning before Aggregating: Enabling Communication Efficient Cross-Domain Federated Learning via Consistent Feature Extraction. IEEE Transactions on Mobile Computing, 2023. (CCF-A)
- .Han Wang, Jianwei Niu, Xuefeng Liu*, Yong Wang. A Doctors Behavior Aware and Domain Knowledge Driven Model for Medical Reports Generation. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. (CCF-B)
- .Yixuan Guan, Xuefeng Liu*, Tao Ren, Jianwei Niu, Enabling Communication-Efficient Federated Learning via Distributed Compressed Sensing, INFOCOM 2022. (CCF A)