Xiaoming He

According to our database, Xiaoming He authored at least 62 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

KG-LLM: A Framework for Intrusion Detection in 6G Industrial Internet of Things.

Gaofeng Wang, Xinyu Hong, Xiaoming He, Yinqiu Liu, Yan Hong, Mingkai Chen, Yunzhe Jiang, Hadeel Alsolai, Shahid Mumtaz

IEEE Netw., May, 2026

Task-Driven Semantic Collaborative Communication Helps Multi-Robot Systems with Embodied Intelligence.

Mingkai Chen, Mujian Zeng, Wenbo Ma, Xiaoming He, Anwer Al-Dulaimi, Shahid Mumtaz

IEEE Commun. Mag., April, 2026

A Reverse Auction-Driven Fog Resource Allocation Strategy for DDoS Mitigation in Smart Grids.

Jun Chen, Xin Sun, Wen Tian, Miao Du, Xiaoming He, Guangjie Liu

IEEE Trans. Ind. Informatics, February, 2026

Efficient LLM Deployment in Consumer Electronics Applications via Resource-Aware and Salience-Guided Quantization.

Tianfu Pang, Yingchi Mao, Zhenxiang Pan, Rongzhi Qi, Benteng Zhang, Xiaoming He, Jie Wu

IEEE Trans. Consumer Electron., February, 2026

Real-Time Intrusion Detection in Internet of Vehicles for Consumer Autonomous Intelligent Systems Using Hyper-Dimensional Computing.

Xiaoming He, Da Tang, Haodong Lu, Yunzhe Jiang, Hadeel Alsolai, Shahid Mumtaz

IEEE Trans. Consumer Electron., February, 2026

Hyper-Dimensional Computing Powered DRL for Task Offloading in Edge-Enabled Consumer Electronics.

Xuejian Zhao, Xiaoming He, Xiaoming Xu, Hadeel Alsolai

IEEE Trans. Netw. Sci. Eng., 2026

Foundation Model Empowered Real-Time Video Conference With Semantic Communications.

Mingkai Chen, Wenbo Ma, Mujian Zeng, Xiaoming He, Jian Xiong, Lei Wang, Anwer Al-Dulaimi, Shahid Mumtaz

IEEE Trans. Image Process., 2026

Collision-Free Optimal Tracking Control for AAV-AGV Formation Against Byzantine Attacks.

Shixun Xiong, Guo-Ping Jiang, Yan Hong, Xiaoming He

IEEE Trans Autom. Sci. Eng., 2026

Explainable Artificial Intelligence Enhance Image Semantic Communication System in 6G-IoT.

Mingkai Chen, Yuangui Gu, Xiaoming He, Shu Wang, Feng Huang, Lei Wang

IEEE Internet Things J., 2026

2025

Semantic Communication in 6G Mega-Satellite Networks: System Design and Standardization.

Binquan Guo, Miao Du, Xiaoming He, Zhou Zhang, Baosheng Li, Zehui Xiong

IEEE Commun. Stand. Mag., December, 2025

QoE-Driven Proactive Caching With DRL in Sustainable Cloud-to-Edge Continuum.

Xiaoming He, Yunzhe Jiang, Huajun Cui, Yinqiu Liu, Mingkai Chen, Maher Guizani, Shahid Mumtaz

IEEE Trans. Mob. Comput., October, 2025

Adaptive Knowledge Transfer for Federated Learning With Large Models on Edge IoT Devices.

Benteng Zhang, Yingchi Mao, Haotian Zheng, Xiang Li, Jianxin Huang, Xiaoming He, Jie Wu

IEEE Internet Things J., October, 2025

ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction.

Yi Rong, Yingchi Mao, Yinqiu Liu, Ling Chen, Xiaoming He, Guojian Zou, Shahid Mumtaz, Dusit Niyato

IEEE Trans. Intell. Transp. Syst., July, 2025

Transforming 6G Mobile Edge Intelligence With Large Models.

Xiaoming He, Yunzhe Jiang, Yinqiu Liu, Huajun Cui, Heng Pan, Yingchi Mao

IEEE Netw., July, 2025

Secure MLLM Semantic Communication Enabled Air-Space-Ground-Maritime Networks.

Mingkai Chen, Zhende Sun, Xiaoming He, Bin Li, Lei Wang, Shahid Mumtaz

IEEE Commun. Mag., July, 2025

Embodied Artificial Intelligence-Enabled Internet of Vehicles: Challenges and Solutions.

Mingkai Chen, Congyan Wang, Xiaoming He, Fa Zhu, Lei Wang, Athanasios V. Vasilakos

IEEE Veh. Technol. Mag., June, 2025

Overcoming Forgetting Using Adaptive Federated Learning for IIoT Devices With Non-IID Data.

Benteng Zhang, Yingchi Mao, Haowen Xu, Yihan Chen, Tasiu Muazu, Xiaoming He, Jie Wu

IEEE Internet Things J., June, 2025

Traffic Prediction Using Lightweight Large Model in AAV-Assisted Mobile Computing for Time-Critical Consumer Electronics.

Yunzhe Jiang, Yinqiu Liu, Huajun Cui, Jinghuan Liu, Yingchi Mao, Xiaoming He

IEEE Trans. Consumer Electron., May, 2025

HiveFL: GAN-Empowered Semi-Asynchronous Federated Learning With Self-Determining Clients.

Xiaoming He, Huawei Huang, Baozhou Xie, Chun Wang, Ruixin Li, Huajun Cui, Zibin Zheng

IEEE Trans. Cogn. Commun. Netw., April, 2025

Balancing Privacy and Accuracy Using Significant Gradient Protection in Federated Learning.

Benteng Zhang, Yingchi Mao, Xiaoming He, Huawei Huang, Jie Wu

IEEE Trans. Computers, January, 2025

Exploring the Privacy-Accuracy Trade-Off Using Adaptive Gradient Clipping in Federated Learning.

Benteng Zhang, Yingchi Mao, Xiaoming He, Ping Ping, Huawei Huang, Jie Wu

IEEE Trans. Netw. Sci. Eng., 2025

A Fairness-Guaranteed Framework for Semi-Asynchronous Federated Learning.

Xiaoming He, Huawei Huang, Chun Wang, Feihong Hu, Ting Cai, Zibin Zheng

IEEE Trans. Netw. Sci. Eng., 2025

STLLM-GAN: Spatio-temporal LLM Generative Adversarial Network for PM2.5 prediction.

Changkui Yin, Yingchi Mao, Liren Deng, Meng Chen, Yi Rong, Xiaoming He, Xiaofeng Zhou

Expert Syst. Appl., 2025

DP-Fed6G: An adaptive differential privacy-empowered federated learning framework for 6G networks.

Miao Du, Peng Yang, Yinqiu Liu, Xiaoming He, Mingkai Chen

Digit. Commun. Networks, 2025

Adaptive layer-wise personalized federated learning via dual delay update in future communication networks.

Haowen Xu, Yingchi Mao, Si Chen, Yi Rong, Tasiu Muazu, Xiaoming He

Comput. Commun., 2025

Learnable Cloud-Guided LLM Quantization for Resource-Constrained Edge Devices.

Qinxiao Deng, Tianfu Pang, Benteng Zhang, Bingbing Nie, Xiaoming He, Yingchi Mao, Jie Wu

Proceedings of the Network and Parallel Computing, 2025

HFHEMS: Energy-Efficient Hierarchical Federated Learning via Model Distillation.

Yihan Chen, Yingchi Mao, Benteng Zhang, Qinxiao Deng, Xiang Li, Xiaoming He

Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Adaptive Federated Learning for Large Models with Scarce and Non-IID Data in Cloud-Edge Networks.

Benteng Zhang, Yingchi Mao, Peng Zhang, Haotian Zheng, Xiaoming He, Jiawen Kang, Jie Wu

Proceedings of the IEEE INFOCOM 2025, 2025

2024

A Real-Time Emotion-Aware System Based on Wireless Body Area Network for IoMT Applications.

Chang Li, Yingchi Mao, Qian Huang, Weiliang Xie, Xiaoming He, Jie Wu

IEEE Internet Things J., December, 2024

Green Computation Offloading With DRL in Multi-Access Edge Computing.

Changkui Yin, Yingchi Mao, Meng Chen, Yi Rong, Yinqiu Liu, Xiaoming He

Trans. Emerg. Telecommun. Technol., November, 2024

Proactive Caching With Distributed Deep Reinforcement Learning in 6G Cloud-Edge Collaboration Computing.

Changmao Wu, Zhengwei Xu, Xiaoming He, Qi Lou, Yuanyuan Xia, Shuman Huang

IEEE Trans. Parallel Distributed Syst., August, 2024

Multi-graph representation spatio-temporal attention networks for traffic forecasting in the cinematic metaverse.

Ke Li, Xiaoming He, Yinqiu Liu, Meng Chen

Trans. Emerg. Telecommun. Technol., July, 2024

Multi-dimensional resource management with deep deterministic policy gradient for digital twin-enabled Industrial Internet of Things in 6 generation.

Yue Hu, Ning Cao, Hao Lu, Yunzhe Jiang, Yinqiu Liu, Xiaoming He

Trans. Emerg. Telecommun. Technol., April, 2024

Exploring artificial intelligence generated content (AIGC) applications in the metaverse: Challenges, solutions, and future directions.

Xutian Wang, Yan Hong, Xiaoming He

IET Blockchain, 2024

Channel assignment and power allocation for throughput improvement with PPO in B5G heterogeneous edge networks.

Xiaoming He, Yingchi Mao, Yinqiu Liu, Ping Ping, Yan Hong, Han Hu

Digit. Commun. Networks, 2024

ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction.

Yi Rong, Yingchi Mao, Yinqiu Liu, Ling Chen, Xiaoming He, Dusit Niyato

CoRR, 2024

Edge-Cloud Enabled Smart Sensing Applications with Personalized Federated Learning in IoT.

Yingchi Mao, Yi Rong, Jiajun Wang, Zibo Wang, Xiaoming He, Jie Wu

Proceedings of the 2024 IEEE Global Communications Conference, 2024

TrafficHD: Efficient Hyperdimensional Computing for Real-Time Network Traffic Analytics.

Haodong Lu, Zhiyuan Ma, Xinran Li, Shiyan Bi, Xiaoming He, Kun Wang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Addressee Selection for Multi-Party Conversations in Cyber-Physical-Social Systems.

Xiaoming He, Yunzhe Jiang, Huajun Cui, Yinqiu Liu

Proceedings of the 2024 IEEE Cyber Science and Technology Congress (CyberSciTech), 2024

2023

HPCchain: A Consortium Blockchain System Based on CPU-FPGA Hybrid-PUF for Industrial Internet of Things.

Kai Qian, Yinqiu Liu, Xiaoming He, Miao Du, Suofei Zhang, Kun Wang

IEEE Trans. Ind. Informatics, November, 2023

Two-phase privacy-preserving scheme for federated learning in edge networks.

Hongle Guo, Yingchi Mao, Xiaoming He, Jie Wu

Int. J. Sens. Networks, 2023

Green Resource Allocation with DDPG for Knowledge Learning in Digital Twin-enabled Edges.

Xiaoming He, Yingchi Mao, Yinqiu Liu, Benteng Zhang, Yunzhe Jiang, Yan Hong

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Optimizing Privacy-Accuracy Trade-off in DP-FL via Significant Gradient Perturbation.

Benteng Zhang, Yingchi Mao, Zijian Tu, Xiaoming He, Ping Ping, Jie Wu

Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

DIF-LUT: A Simple Yet Scalable Approximation for Non-Linear Activation Function on FPGA.

Yang Liu, Xiaoming He, Jun Yu, Kun Wang

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

Proactive Caching with DRL in Cloud-Edge Assisted Cyber-Physical-Social Systems.

Yue Hu, Ning Cao, Yinqiu Liu, Xiaoming He

Proceedings of the IEEE Intl Conf on Dependable, 2023

2022

Joint Dynamic Grouping and Gradient Coding for Time-Critical Distributed Machine Learning in Heterogeneous Edge Networks.

Yingchi Mao, Jun Wu, Xiaoming He, Ping Ping, Jiajun Wang, Jie Wu

IEEE Internet Things J., 2022

Communication Optimization in Heterogeneous Edge Networks Using Dynamic Grouping and Gradient Coding.

Yingchi Mao, Jun Wu, Xiaoming He, Ping Ping, Jianxin Huang

Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

Accelerating Federated Learning with Two-phase Gradient Adjustment.

Jiajun Wang, Yingchi Mao, Xiaoming He, Tong Zhou, Jun Wu, Jie Wu

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

2021

QoE-Based Task Offloading With Deep Reinforcement Learning in Edge-Enabled Internet of Vehicles.

Xiaoming He, Haodong Lu, Miao Du, Yingchi Mao, Kun Wang

IEEE Trans. Intell. Transp. Syst., 2021

An Adaptive Neural Architecture Search Design for Collaborative Edge-Cloud Computing.

Haodong Lu, Miao Du, Xiaoming He, Kai Qian, Jianli Chen, Yanfei Sun, Kun Wang

IEEE Netw., 2021

2020

QoE-Based Cooperative Task Offloading with Deep Reinforcement Learning in Mobile Edge Networks.

Xiaoming He, Haodong Lu, Huawei Huang, Yingchi Mao, Kun Wang, Song Guo

IEEE Wirel. Commun., 2020

Green Resource Allocation Based on Deep Reinforcement Learning in Content-Centric IoT.

Xiaoming He, Kun Wang, Huawei Huang, Toshiaki Miyazaki, Yixuan Wang, Song Guo

IEEE Trans. Emerg. Top. Comput., 2020

Edge QoE: Intelligent Big Data Caching via Deep Reinforcement Learning.

Xiaoming He, Kun Wang, Haodong Lu, Wenyao Xu, Song Guo

IEEE Netw., 2020

Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things.

Haodong Lu, Xiaoming He, Miao Du, Xiukai Ruan, Yanfei Sun, Kun Wang

IEEE Internet Things J., 2020

QoE-driven Task Offloading with Deep Reinforcement Learning in Edge intelligent IoV.

Xiaoming He, Haodong Lu, Yingchi Mao, Kun Wang

Proceedings of the IEEE Global Communications Conference, 2020

2019

QoE-Driven Content-Centric Caching With Deep Reinforcement Learning in Edge-Enabled IoT.

Xiaoming He, Kun Wang, Wenyao Xu

IEEE Comput. Intell. Mag., 2019

2018

QoE-Driven Big Data Architecture for Smart City.

Xiaoming He, Kun Wang, Huawei Huang, Bo Liu

IEEE Commun. Mag., 2018

QoE-driven big data management in pervasive edge computing environment.

Qianyu Meng, Kun Wang, Xiaoming He, Minyi Guo

Big Data Min. Anal., 2018

QoE-Based Big Data Analysis with Deep Learning in Pervasive Edge Environment.

Qianyu Meng, Kun Wang, Bo Liu, Toshiaki Miyazaki, Xiaoming He

Proceedings of the 2018 IEEE International Conference on Communications, 2018

QoE-Driven Joint Resource Allocation for Content Delivery in Fog Computing Environment.

Xiaoming He, Kun Wang, Huawei Huang, Toshiaki Miyazaki, Yixuan Wang, Yanfei Sun

Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017

Distributed Energy Management for Vehicle-to-Grid Networks.

Kun Wang, Liqiu Gu, Xiaoming He, Song Guo, Yanfei Sun, Alexey V. Vinel, Jian Shen

IEEE Netw., 2017

A Software-Defined Green Framework for Hybrid EV-Charging Networks.

Yanfei Sun, Xiaoxuan Hu, Xiulong Liu, Xiaoming He, Kun Wang

IEEE Commun. Mag., 2017