Practical loss inference in uncertain networks. - Xinlei Yu; Yuqi Ye; Jing Wang; Yan Qiao (ISCC, 2017)

Energy Efficiency Analysis of Heterogeneous Cellular Networks With Extra Cell Range Expansion. - Yuhao Zhang 002; Zhiyan Cui; Qimei Cui; Xinlei Yu; Yinjun Liu; Weiliang Xie; Yong Zhao (IEEE Access, 2017)

SIR Meta Distribution in Physical Layer Security with Interference Correlation. - Qimei Cui; Xueying Jiang; Xinlei Yu; Yuanjie Wang; Martin Haenggi (GLOBECOM, 2018)

The SIR Meta Distribution in Poisson Cellular Networks With Base Station Cooperation. - Qimei Cui; Xinlei Yu; Yuanjie Wang; Martin Haenggi (IEEE Trans. Commun., 2018)

Coherent Joint Transmission in Downlink Heterogeneous Cellular Networks. - Xinlei Yu; Qimei Cui; Martin Haenggi (IEEE Wirel. Commun. Lett., 2018)

SIR Meta Distribution for Spatiotemporal Cooperation in Poisson Cellular Networks. - Xinlei Yu; Qimei Cui; Martin Haenggi (IEEE Access, 2019)

Stochastic geometry based analysis for heterogeneous networks: a perspective on meta distribution. - Xinlei Yu; Qimei Cui; Yuanjie Wang; Na Li 001; Xiaofeng Tao; Mikko Valkama (Sci. China Inf. Sci., 2020)

The Joint and Product Meta Distributions of the SIR and Their Applications to Secrecy and Cooperation. - Xinlei Yu; Qimei Cui; Yuanjie Wang; Martin Haenggi (IEEE Trans. Wirel. Commun., 2020)

FedCL: An Efficient Federated Unsupervised Learning for Model Sharing in IoT. - Chen Zhao; Zhipeng Gao 001; Qian Wang 015; Zijia Mo; Xinlei Yu (CollaborateCom (1), 2022)

FedGAN: A Federated Semi-supervised Learning from Non-IID Data. - Chen Zhao; Zhipeng Gao 001; Qian Wang 015; Zijia Mo; Xinlei Yu (WASA (2), 2022)

Life History Recorded in the Vagino-cervical Microbiome Along with Multi-omes. - Zhuye Jie; Chen Chen; Lilan Hao; Fei Li; Liju Song; Xiaowei Zhang; Jie Zhu; Liu Tian; Xin Tong; Kaiye Cai; Zhe Zhang; Yanmei Ju; et al. (Genom. Proteom. Bioinform., 2022)

FedSC: Compatible Gradient Compression for Communication-Efficient Federated Learning. - Xinlei Yu; Zhipeng Gao 001; Chen Zhao; Zijia Mo (ICA3PP (1), 2023)

Precision-Mixed and Weight-Average Ensemble: Online Knowledge Distillation for Quantization Convolutional Neural Networks. - Zijia Mo; Zhipeng Gao 001; Chen Zhao; Xinlei Yu; Kaile Xiao (WCNC, 2023)

FedUSC: Collaborative Unsupervised Representation Learning From Decentralized Data for Internet of Things. - Chen Zhao; Zhipeng Gao 001; Yang Yang 006; Qian Wang 015; Zijia Mo; Xinlei Yu (IEEE Internet Things J., 2023)

IDDANet: An Input-Driven Dynamic Adaptive Network ensemble method for edge intelligence. - Zijia Mo; Zhipeng Gao 001; Kaile Xiao; Chen Zhao; Xinlei Yu (Future Gener. Comput. Syst., 2023)

ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism. - Xinlei Yu; Ahmed Elazab; Ruiquan Ge; Hui Jin; Xinchen Jiang; Gangyong Jia; Qing Wu 008; Qinglei Shi; Changmiao Wang (BIBM, 2024)

Classifier Reuse-Based Contrastive Knowledge Distillation. - Zhipeng Gao 001; Shu Yang; Xinlei Yu; Zijia Mo; Lanlan Rui; Yang Yang 006 (EDGE, 2024)

FEDNPAIT: Federated Learning with NADAM and PADAM for Instruction Tuning. - Zhipeng Gao 001; Yichen Li; Xinlei Yu (ICA3PP (2), 2024)

Adaptive Backdoor Attacks Against Dataset Distillation for Federated Learning. - Ze Chai; Zhipeng Gao 001; Yijing Lin; Chen Zhao; Xinlei Yu; Zhiqiang Xie (ICC, 2024)

Addressing Catastrophic Forgetting in Federated Learning on Resource-Constrained Devices: A Feature Replay Approach. - Zhipeng Gao 001; Junyao Zhang; Xinlei Yu (ICIC (LNAI 5), 2024)

Adaptive Clipping and Distillation Enabled Federated Unlearning. - Zhiqiang Xie; Zhipeng Gao 001; Yijing Lin; Chen Zhao; Xinlei Yu; Ze Chai (ICWS, 2024)

ICHPro: Intracerebral Hemorrhage Prognosis Classification via Joint-Attention Fusion-Based 3D Cross-Modal Network. - Xinlei Yu; Xinyang Li; Ruiquan Ge; Shibin Wu; Ahmed Elazab; Jichao Zhu; Lingyan Zhang; Gangyong Jia; Taosheng Xu; Xiang Wan; Changmiao Wang (ISBI, 2024)

DUDS: Diversity-aware unbiased device selection for federated learning on Non-IID and unbalanced data. - Xinlei Yu; Zhipeng Gao 001; Chen Zhao; Yan Qiao; Ze Chai; Zijia Mo; Yang Yang 006 (J. Syst. Archit., 2024)

Exploiting Multipath Information for Integrated Localization and Sensing via PHD Filtering. - Yinuo Du; Hanying Zhao; Yang Liu; Xinlei Yu; Yuan Shen 001 (IEEE Trans. Veh. Technol., 2024)

DDPG-AdaptConfig: A deep reinforcement learning framework for adaptive device selection and training configuration in heterogeneity federated learning. - Xinlei Yu; Zhipeng Gao 001; Zijian Xiong; Chen Zhao; Yang Yang 006 (Future Gener. Comput. Syst., 2025)

ICH-PRNet: a cross-modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism. - Xinlei Yu; Ahmed Elazab; Ruiquan Ge; Jichao Zhu; Lingyan Zhang; Gangyong Jia; Qing Wu 008; Xiang Wan; Lihua Li; Changmiao Wang (Neural Networks, 2025)

Think Hierarchically, Act Dynamically: Hierarchical Multi-modal Fusion and Reasoning for Vision-and-Language Navigation. - Junrong Yue; Yifan Zhang; Chuan Qin; Bo Li; Xiaomin Lie; Xinlei Yu; Wenxin Zhang; Zhendong Zhao (CoRR, 2025)

Diffusion Model Empowered Efficient Data Distillation Method for Cloud-Edge Collaboration. - Ze Chai; Yijing Lin; Zhipeng Gao 001; Xinlei Yu; Zhiqiang Xie (IEEE Trans. Cogn. Commun. Netw., 2025)

Dynamic and Fast Convergence for Federated Learning via Optimized Hyperparameters. - Xinlei Yu; Yijing Lin; Zhipeng Gao 001; Hongyang Du; Dusit Niyato (IEEE Trans. Netw. Serv. Manag., 2025)

CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation. - Xinlei Yu; Chanmiao Wang; Hui Jin; Ahmed Elazab; Gangyong Jia; Xiang Wan; Changqing Zou; Ruiquan Ge (CoRR, 2025)

Visual Document Understanding and Question Answering: A Multi-Agent Collaboration Framework with Test-Time Scaling. - Xinlei Yu; Zhangquan Chen; Yudong Zhang; Shilin Lu; Ruolin Shen; Jiangning Zhang; Xiaobin Hu; Yanwei Fu 001; Shuicheng Yan (CoRR, 2025)

SIFThinker: Spatially-Aware Image Focus for Visual Reasoning. - Zhangquan Chen; Ruihui Zhao; Chuwei Luo; Mingze Sun; Xinlei Yu; Yangyang Kang; Ruqi Huang (CoRR, 2025)