.Yixuan Guan, Xuefeng Liu*, Tao Ren, Jianwei Niu, Enabling Communication-Efficient Federated Learning via Distributed Compressed Sensing, INFOCOM 2022. (CCF A) .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)