- .Tao Ren, Zheyuan Hu, Hang he, Xuefeng Liu, Jianwei Niu, EAT: Towards Fast Environment-Adaptive Task Offloading and Power Allocation in MEC. INFOCOM 2022. (CCF A)
- .Haolin Wang, Xuefeng Liu*, Jianwei Niu, Shaojie Tang, SVDFed: Enabling Communication-Efficient Federated Learning via Singular-Value-Decomposition. INFOCOM 2022. (CCF A )
- .Guogang Zhu, Xuefeng Liu* Shaojie Tang, Jianwei Niu,, Aligning before Aggregating: Enabling Cross-domain Federated Learning via Consistent Feature Extraction. ICDCS 2022. (CCF B)
- .Xinghao Wu, Jianwei Niu, Xuefeng Liu*, Tao Ren, Zhangmin Huang, Zhetao Li, pFedGF: Enabling Personalized Federated Learning via Gradient Fusion. IPDPS 2022. (CCF B)
- .Wei Chen, Xuefeng Liu, Jianwei Niu. SentiStory: A Multi-layered Sentiment-Aware Generative Model for Visual Storytelling. IEEE Transactions on Circuits and Systems for Video Technology, 2022.(CCF B)
- .Hui Meng, Xuefeng Liu, Jianwei Niu, Yong Wang, Jintang Liao, Qingfeng Li, Chen Chen. DGANet: A Dual Global Attention Neural Network for Breast Lesion Detection in Ultrasound Images. Ultrasound in Medicine & Biology, 2022.
- .Kaiyu Zheng, Xuefeng Liu, Guogang Zhu, Xinghao Wu, Jianwei Niu. ChannelFed: Enabling Personalized Federated Learning via Localized Channel Attention. IEEE GLOBECOM 2022. (CCF C)
- .Qingjuan Zhao, Jianwei Niu, Xuefeng Liu. ALS-MRS: Incorporating Aspect-Level Sentiment for Abstractive Multi-Review Summarization. Knowledge-Based Systems. 2022. (中科院一区)
- .Han Wang, Jianwei Niu, Xuefeng Liu, Yong Wang. Embracing Uniqueness: Generating Radiology Reports via a Transformer with Graph-based Distinctive Attention[C]. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. (CCF-B)
- .Kaili Mao, Jianwei Niu, Xuefeng Liu*, Shaojie Tang, Lizi Liao, Tat-Seng Chua. A patience-aware recommendation scheme for shared accounts on mobile devices. IEEE Transactions on Knowledge and Data Engineering(TKDE),2021. (CCF A)