Adaptive sequential offloading game for multi-cell Mobile Edge Computing. - Maofei Deng; Hui Tian 003; Xinchen Lyu (ICT, 2016)

An annulus-based access class barring scheme for stationary machine-type communications devices. - Xiangdong Gao; Hui Tian 003; Xinchen Lyu (MoWNet, 2016)

Adaptive Receding Horizon Offloading Strategy Under Dynamic Environment. - Xinchen Lyu; Hui Tian 003 (IEEE Commun. Lett., 2016)

Distributed Cache Placement and User Association in Multicast-Aided Heterogeneous Networks. - Shuo He 002; Hui Tian 003; Xinchen Lyu; Gaofeng Nie; Shaoshuai Fan (IEEE Access, 2017)

Edge Popularity Prediction Based on Social-Driven Propagation Dynamics. - Shuo He 002; Hui Tian 003; Xinchen Lyu (IEEE Commun. Lett., 2017)

Optimal Schedule of Mobile Edge Computing for Internet of Things Using Partial Information. - Xinchen Lyu; Wei Ni 001; Hui Tian 003; Ren Ping Liu; Xin Wang 003; Georgios B. Giannakis; Arogyaswami Paulraj (IEEE J. Sel. Areas Commun., 2017)

Adaptive Centralized Clustering Framework for Software-Defined Ultra-Dense Wireless Networks. - Xinchen Lyu; Hui Tian 003; Wei Ni 001; Ren Ping Liu; Ping Zhang 003 (IEEE Trans. Veh. Technol., 2017)

Multiuser Joint Task Offloading and Resource Optimization in Proximate Clouds. - Xinchen Lyu; Hui Tian 003; Cigdem Sengul; Ping Zhang 003 (IEEE Trans. Veh. Technol., 2017)

Distributed Optimization of Collaborative Regions in Large-Scale Inhomogeneous Fog Computing. - Xinchen Lyu; Chenshan Ren; Wei Ni 001; Hui Tian 003; Ren Ping Liu (IEEE J. Sel. Areas Commun., 2018)

Multi-Timescale Decentralized Online Orchestration of Software-Defined Networks. - Xinchen Lyu; Chenshan Ren; Wei Ni 001; Hui Tian 003; Ren Ping Liu; Y. Jay Guo (IEEE J. Sel. Areas Commun., 2018)

Selective Offloading in Mobile Edge Computing for the Green Internet of Things. - Xinchen Lyu; Hui Tian 003; Li Jiang 005; Alexey V. Vinel; Sabita Maharjan; Stein Gjessing; Yan Zhang 002 (IEEE Netw., 2018)

Energy-Efficient Admission of Delay-Sensitive Tasks for Mobile Edge Computing. - Xinchen Lyu; Hui Tian 003; Wei Ni 001; Yan Zhang 002; Ping Zhang 003; Ren Ping Liu (IEEE Trans. Commun., 2018)

Distributed Online Optimization of Fog Computing for Selfish Devices With Out-of-Date Information. - Xinchen Lyu; Wei Ni 001; Hui Tian 003; Ren Ping Liu; Xin Wang 003; Georgios B. Giannakis; Arogyaswami Paulraj (IEEE Trans. Wirel. Commun., 2018)

Distributed Online Learning of Fog Computing Under Nonuniform Device Cardinality. - Chenshan Ren; Xinchen Lyu; Wei Ni 001; Hui Tian 003; Ren Ping Liu (IEEE Internet Things J., 2019)

Online Optimization of Wireless Powered Mobile-Edge Computing for Heterogeneous Industrial Internet of Things. - Hao Wu 025; Xinchen Lyu; Hui Tian 003 (IEEE Internet Things J., 2019)

Optimal Online Data Partitioning for Geo-Distributed Machine Learning in Edge of Wireless Networks. - Xinchen Lyu; Chenshan Ren; Wei Ni 001; Hui Tian 003; Ren Ping Liu; Eryk Dutkiewicz (IEEE J. Sel. Areas Commun., 2019)

Profitable Cooperative Region for Distributed Online Edge Caching. - Chenshan Ren; Xinchen Lyu; Wei Ni 001; Hui Tian 003; Ren Ping Liu (IEEE Trans. Commun., 2019)

Resource management of fog computing in future networks - Xinchen Lyu (2019)

Distributed Online Optimization of Fog Computing for Internet of Things Under Finite Device Buffers. - Chenshan Ren; Xinchen Lyu; Wei Ni 001; Hui Tian 003; Wei Song; Ren Ping Liu (IEEE Internet Things J., 2020)

Virtual Service Placement for Edge Computing Under Finite Memory and Bandwidth. - Shuo He 002; Xinchen Lyu; Wei Ni 001; Hui Tian 003; Ren Ping Liu; Ekram Hossain 001 (IEEE Trans. Commun., 2020)

Cooperative Computing Anytime, Anywhere: Ubiquitous Fog Services. - Xinchen Lyu; Chenshan Ren; Wei Ni 001; Hui Tian 003; Ren Ping Liu (IEEE Wirel. Commun., 2020)

Distributed Online Learning of Cooperative Caching in Edge Cloud. - Xinchen Lyu; Chenshan Ren; Wei Ni 001; Hui Tian 003; Ren Ping Liu; Xiaofeng Tao (IEEE Trans. Mob. Comput., 2021)

Online Learning of Optimal Proactive Schedule Based on Outdated Knowledge for Energy Harvesting Powered Internet-of-Things. - Xinchen Lyu; Chenshan Ren; Wei Ni 001; Hui Tian 003; Qimei Cui; Ren Ping Liu (IEEE Trans. Wirel. Commun., 2021)

Clustering Label Inference Attack against Practical Split Learning. - Junlin Liu; Xinchen Lyu (CoRR, 2022)

Online Offloading Scheduling for NOMA-Aided MEC Under Partial Device Knowledge. - Meihui Hua; Hui Tian 003; Xinchen Lyu; Wanli Ni; Gaofeng Nie (IEEE Internet Things J., 2022)

Online Optimization of Energy-Efficient User Association and Workload Offloading for Mobile Edge Computing. - Jian Zhang 059; Qimei Cui; Xuefei Zhang; Wei Ni 001; Xinchen Lyu; Miao Pan; Xiaofeng Tao (IEEE Trans. Veh. Technol., 2022)

Robust and Reliable Resource Provisioning for Delay-Critical Services with Traffic Uncertainty. - Keda Chen; Xinchen Lyu; Chenshan Ren; Zixuan Liang; Qimei Cui; Xiaofeng Tao (GLOBECOM, 2023)

Distance-Based Online Label Inference Attacks Against Split Learning. - Junlin Liu; Xinchen Lyu (ICASSP, 2023)

Boosting Physical Layer Black-Box Attacks with Semantic Adversaries in Semantic Communications. - Zeju Li; Xinghan Liu; Guoshun Nan; Jinfei Zhou; Xinchen Lyu; Qimei Cui; Xiaofeng Tao (ICC, 2023)

Convergence Analysis of Sequential Federated Learning on Heterogeneous Data. - Yipeng Li; Xinchen Lyu (NeurIPS, 2023)

Masking-enabled Data Protection Approach for Accurate Split Learning. - Shuhan Liu; Lun Xin; Xinchen Lyu; Chenshan Ren (WCNC, 2023)

Convergence Analysis of Split Learning on Non-IID Data. - Yipeng Li; Xinchen Lyu (CoRR, 2023)

Secure and Efficient Hierarchical Decentralized Learning for Internet of Vehicles. - Zixuan Liang; Penglin Yang; Chenyu Zhang; Xinchen Lyu (IEEE Open J. Commun. Soc., 2023)

Distributed Graph-Based Optimization of Multicast Data Dissemination for Internet of Vehicles. - Xinchen Lyu; Chenyu Zhang; Chenshan Ren; Yanzhao Hou (IEEE Trans. Intell. Transp. Syst., 2023)

Scalable Aggregated Split Learning for Data-Driven Edge Intelligence on Internet-of-Things. - Xinchen Lyu; Shuhan Liu; Junlin Liu; Chenshan Ren (IEEE Internet Things Mag., 2023)

Mixed-Precision Arithmetic Transceiver for Massive MIMO Systems. - Yiming Fang; Li Chen 015; Huarui Yin; Xinchen Lyu; Pengcheng Zhu 001 (GLOBECOM, 2024)

Communication-Efficient Topology Orchestration for Distributed Learning in UAV Networks. - Zixuan Liang; Xinchen Lyu; Chenshan Ren; Na Li 001; Kai Li 002 (IWCMC, 2024)

Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size. - Junlin Liu; Xinchen Lyu (CoRR, 2024)

Sharp Bounds for Sequential Federated Learning on Heterogeneous Data. - Yipeng Li; Xinchen Lyu (CoRR, 2024)

Hybrid learning of predictive mobile-edge computation offloading under differently-aged network states. - Chenshan Ren; Wei Song; Xinchen Lyu (Future Gener. Comput. Syst., 2024)

Topology-Driven Synchronization Interval Optimization for Latency-Constrained Geo-Decentralized Federated Learning. - Qi Chen; Wei Yu; Xinchen Lyu; Zimeng Jia; Guoshun Nan; Qimei Cui (IEEE Open J. Commun. Soc., 2024)

Online-Learning-Based Predictive Optimization of Uplink Scheduling for Industrial Internet-of-Things. - Chenshan Ren; Xinchen Lyu (IEEE Open J. Commun. Soc., 2024)

Similarity-Based Label Inference Attack Against Training and Inference of Split Learning. - Junlin Liu; Xinchen Lyu; Qimei Cui; Xiaofeng Tao (IEEE Trans. Inf. Forensics Secur., 2024)

Secure and Efficient Federated Learning With Provable Performance Guarantees via Stochastic Quantization. - Xinchen Lyu; Xinyun Hou; Chenshan Ren; Xin Ge; Penglin Yang; Qimei Cui; Xiaofeng Tao (IEEE Trans. Inf. Forensics Secur., 2024)

UDSem: A Unified Distributed Learning Framework for Semantic Communications Over Wireless Networks. - Guoshun Nan; Xinghan Liu; Xinchen Lyu; Qimei Cui; Xiaodong Xu 001; Ping Zhang 003 (IEEE Netw., 2024)

Joint Long-Term Energy Efficient Scheduling and Beamforming Design for URLLC in Cell-Free MIMO Systems. - Yuting Yin; Bo Liu 076; Pengcheng Zhu 001; Xinchen Lyu; Yan Wang 027 (IEEE Wirel. Commun. Lett., 2024)

Security-Communication-Computation Tradeoff of Split Decisions for Edge Intelligence. - Xinchen Lyu; Junlin Liu; Chenshan Ren; Guoshun Nan (IEEE Wirel. Commun., 2024)

Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size. - Junlin Liu; Chenyu Zhang; Xinchen Lyu (ICASSP, 2025)

Overview of AI and communication for 6G network: fundamentals, challenges, and future research opportunities. - Qimei Cui; Xiaohu You 001; Wei Ni 001; Guoshun Nan; Xuefei Zhang; Jianhua Zhang 001; Xinchen Lyu; Ming Ai; Xiaofeng Tao; Zhiyong Feng 001; Ping Zhang 003; Qingqing Wu 001; et al. (Sci. China Inf. Sci., 2025)

A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond. - Yipeng Li; Xinchen Lyu; Zhenyu Liu (CoRR, 2025)

On the Achievable Rate Maximization in RIS Enhanced Ambient Backscatter Communication Systems. - Guoning Wang; Juan Liu; Hongyu Yang; Gaoze Mu; Yanzhao Hou; Xinchen Lyu; Xiaofeng Tao (IEEE Wirel. Commun. Lett., 2025)

SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices. - Jian Ma; Xinchen Lyu; Jun Jiang; Qimei Cui; Haipeng Yao; Xiaofeng Tao (CoRR, 2025)

Efficient Collaborative Computing for Multilayer LEO Satellites With Spatiotemporal Dynamics: A Long-Term Continuous Timescale Optimization. - Kangjia Yu; Qimei Cui; Xinchen Lyu; Xuefei Zhang; Xiaofeng Tao (IEEE Internet Things J., 2025)

PPoison: A Pluggable Poisoning attack against distributed training of split learning. - Junlin Liu; Xinchen Lyu; Longfei Zheng; Chenshan Ren; Qimei Cui (Future Gener. Comput. Syst., 2026)