Mingzhe Chen

According to our database, Mingzhe Chen authored at least 159 papers between 2015 and 2024.

Collaborative distances:

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

2024

Beamforming Design for the Performance Optimization of Intelligent Reflecting Surface Assisted Multicast MIMO Networks.

Songling Zhang, Zhaohui Yang, Mingzhe Chen, Danpu Liu, Kai-Kit Wong, H. Vincent Poor

IEEE Trans. Wirel. Commun., March, 2024

Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks.

Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui

IEEE Trans. Wirel. Commun., March, 2024

FedVQCS: Federated Learning via Vector Quantized Compressed Sensing.

Yongjeong Oh, Yo-Seb Jeon, Mingzhe Chen, Walid Saad

IEEE Trans. Wirel. Commun., March, 2024

Optimization of Image Transmission in Cooperative Semantic Communication Networks.

Wenjing Zhang, Yining Wang, Mingzhe Chen, Tao Luo, Dusit Niyato

IEEE Trans. Wirel. Commun., February, 2024

Communication Efficient Federated Learning for Wireless Networks

Mingzhe Chen, Shuguang Cui

Wireless Networks, Springer, ISBN: 978-3-031-51265-0, 2024

Jointly Optimizing Terahertz based Sensing and Communications in Vehicular Networks: A Dynamic Graph Neural Network Approach.

Xuefei Li, Mingzhe Chen, Ye Hu, Zhilong Zhang, Danpu Liu, Shiwen Mao

CoRR, 2024

Complex-Valued Neural Network based Federated Learning for Multi-user Indoor Positioning Performance Optimization.

Hanzhi Yu, Yuchen Liu, Mingzhe Chen

CoRR, 2024

A Joint Communication and Computation Design for Probabilistic Semantic Communications.

Zhouxiang Zhao, Zhaohui Yang, Mingzhe Chen, Zhaoyang Zhang, H. Vincent Poor

CoRR, 2024

A Joint Communication and Computation Framework for Digital Twin over Wireless Networks.

Zhaohui Yang, Mingzhe Chen, Yuchen Liu, Zhaoyang Zhang

CoRR, 2024

Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking.

Yujiao Zhu, Mingzhe Chen, Sihua Wang, Ye Hu, Yuchen Liu, Changchuan Yin

CoRR, 2024

Multiple Access Techniques for Intelligent and Multi-Functional 6G: Tutorial, Survey, and Outlook.

Bruno Clerckx, Yijie Mao, Zhaohui Yang, Mingzhe Chen, Ahmed Alkhateeb, Liang Liu, Min Qiu, Jinhong Yuan, Vincent W. S. Wong, Juan Montojo

CoRR, 2024

Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering.

Jing Zhang, Xiaoqiang Liu, Mingzhe Chen, Zhe Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph Neural Networks for Joint Communication and Sensing Optimization in Vehicular Networks.

Xuefei Li, Mingzhe Chen, Yuchen Liu, Zhilong Zhang, Danpu Liu, Shiwen Mao

IEEE J. Sel. Areas Commun., December, 2023

Positioning Using Visible Light Communications: A Perspective Arcs Approach.

Zhiyu Zhu, Caili Guo, Rongzhen Bao, Mingzhe Chen, Walid Saad, Yang Yang

IEEE Trans. Wirel. Commun., October, 2023

GoMORE: Global Model Reuse for Resource-Constrained Wireless Federated Learning.

Jiacheng Yao, Zhaohui Yang, Wei Xu, Mingzhe Chen, Dusit Niyato

IEEE Wirel. Commun. Lett., September, 2023

Adaptive Critical Region Extraction Net via relationship modeling for bone age assessment.

Mingzhe Chen, Jing Wu, Feihong Luo, Jing Zhang, Miaoying Zhang, Chengjun Sun

Biomed. Signal Process. Control., September, 2023

Adaptive Information Bottleneck Guided Joint Source and Channel Coding for Image Transmission.

Lunan Sun, Yang Yang, Mingzhe Chen, Caili Guo, Walid Saad, H. Vincent Poor

IEEE J. Sel. Areas Commun., August, 2023

Energy Efficient Semantic Communication Over Wireless Networks With Rate Splitting.

Zhaohui Yang, Mingzhe Chen, Zhaoyang Zhang, Chongwen Huang

IEEE J. Sel. Areas Commun., May, 2023

Pushing AI to wireless network edge: an overview on integrated sensing, communication, and computation towards 6G.

Guangxu Zhu, Zhonghao Lyu, Xiang Jiao, Peixi Liu, Mingzhe Chen, Jie Xu, Shuguang Cui, Yan-Ping Zhang

Sci. China Inf. Sci., March, 2023

Guest Editorial Special Section on Distributed Edge Learning in Wireless Networks.

Xiaowen Gong, Kaibin Huang, Mingzhe Chen, Carlo Fischione, Jun Zhang, Wan Choi

IEEE Open J. Commun. Soc., 2023

A Joint Gradient and Loss Based Clustered Federated Learning Design.

Licheng Lin, Mingzhe Chen, Zhaohui Yang, Yusen Wu, Yuchen Liu

CoRR, 2023

Disentangled Information Bottleneck guided Privacy-Protective JSCC for Image Transmission.

Lunan Sun, Yang Yang, Mingzhe Chen, Caili Guo

CoRR, 2023

Privacy-Aware Joint Source-Channel Coding for image transmission based on Disentangled Information Bottleneck.

Lunan Sun, Caili Guo, Mingzhe Chen, Yang Yang

CoRR, 2023

Cross-Layer Federated Learning Optimization in MIMO Networks.

Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton

CoRR, 2023

Secure Semantic Communications: Fundamentals and Challenges.

Zhaohui Yang, Mingzhe Chen, Gaolei Li, Yang Yang, Zhaoyang Zhang

CoRR, 2023

E-App: Adaptive mmWave Access Point Planning with Environmental Awareness in Wireless LANs.

Yuchen Liu, Mingzhe Chen, Dongkuan Xu, Zhaohui Yang, Shangqing Zhao

Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023

Visible Light Positioning Based on a Single Luminaire: A Novel Visual Odometry Assisted Algorithm.

Zhiyu Zhu, Yang Yang, Mingzhe Chen, Caili Guo, Yipeng Bai

Proceedings of the IEEE International Conference on Communications, 2023

Learning-Based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing.

Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Mingzhe Chen

Proceedings of the IEEE International Conference on Communications, 2023

Joint Optimization of Sensing and Communications in Vehicular Networks: A Graph Neural Network-Based Approach.

Xuefei Li, Mingzhe Chen, Zhilong Zhang, Danpu Liu, Yuchen Liu, Shiwen Mao

Proceedings of the IEEE International Conference on Communications, 2023

PBE-Plan: Periodic Backdoor Erasing Plan for Trustworthy Federated Learning.

Bei Chen, Gaolei Li, Mingzhe Chen, Yuchen Liu, Xiaoyu Yi, Jianhua Li

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Trajectory Design for 3D UAV Localization in UAV Based Networks.

Yujiao Zhu, Mingzhe Chen, Sihua Wang, Yuchen Liu, Changchuan Yin

Proceedings of the IEEE Global Communications Conference, 2023

Complex Neural Networks for Indoor Positioning with Complex-Valued Channel State Information.

Hanzhi Yu, Mingzhe Chen, Zhaohui Yang, Yuchen Liu

Proceedings of the IEEE Global Communications Conference, 2023

MIMO Beamforming and Signal Modulation Design for Federated Learning Optimization.

Nuocheng Yang, Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton

Proceedings of the IEEE Global Communications Conference, 2023

Energy Efficient Collaborative Federated Learning Design: A Graph Neural Network based Approach.

Nuocheng Yang, Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin

Proceedings of the IEEE Global Communications Conference, 2023

Spatial-Temporal Attention-Based mmWave Link Quality Prediction Under Dynamic Blockages.

Zhizhen Li, Mingzhe Chen, Gaolei Li, Yuchen Liu

Proceedings of the IEEE Global Communications Conference, 2023

Multiuser Resource Allocation for Semantic-Relay-Aided Text Transmissions.

Zeyang Hu, Tianyu Liu, Changsheng You, Zhaohui Yang, Mingzhe Chen

Proceedings of the IEEE Globecom Workshops 2023, 2023

2022

Federated Learning on the Road Autonomous Controller Design for Connected and Autonomous Vehicles.

Tengchan Zeng, Omid Semiari, Mingzhe Chen, Walid Saad, Mehdi Bennis

IEEE Trans. Wirel. Commun., 2022

Energy-Efficient Wireless Communications With Distributed Reconfigurable Intelligent Surfaces.

Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui

IEEE Trans. Wirel. Commun., 2022

Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks.

Yining Wang, Mingzhe Chen, Zhaohui Yang, Walid Saad, Tao Luo, Shuguang Cui, H. Vincent Poor

IEEE Trans. Wirel. Commun., 2022

Computer Vision-Based Localization With Visible Light Communications.

Lin Bai, Yang Yang, Mingzhe Chen, Chunyan Feng, Caili Guo, Walid Saad, Shuguang Cui

IEEE Trans. Wirel. Commun., 2022

Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication.

Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei

IEEE Trans. Mob. Comput., 2022

Joint User Grouping, Version Selection, and Bandwidth Allocation for Live Video Multicasting.

Zhilong Zhang, Minyin Zeng, Mingzhe Chen, Danpu Liu, Walid Saad, Shuguang Cui, H. Vincent Poor

IEEE Trans. Commun., 2022

Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems.

Sihua Wang, Mingzhe Chen, Zhaohui Yang, Changchuan Yin, Walid Saad, Shuguang Cui, H. Vincent Poor

IEEE J. Sel. Top. Signal Process., 2022

Performance Optimization for Semantic Communications: An Attention-Based Reinforcement Learning Approach.

Yining Wang, Mingzhe Chen, Tao Luo, Walid Saad, Dusit Niyato, H. Vincent Poor, Shuguang Cui

IEEE J. Sel. Areas Commun., 2022

Joint Content Caching, Recommendation, and Transmission Optimization for Next Generation Multiple Access Networks.

Yaru Fu, Yue Zhang, Qi Zhu, Mingzhe Chen, Tony Q. S. Quek

IEEE J. Sel. Areas Commun., 2022

Guest Editorial Special Issue on Distributed Learning Over Wireless Edge Networks - Part II.

Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor

IEEE J. Sel. Areas Commun., 2022

Joint LED Selection and Precoding Optimization for Multiple-User Multiple-Cell VLC Systems.

Yang Yang, Yujie Yang, Mingzhe Chen, Chunyan Feng, Hailun Xia, Shuguang Cui, H. Vincent Poor

IEEE Internet Things J., 2022

Federated Learning Over Energy Harvesting Wireless Networks.

Rami Hamdi, Mingzhe Chen, Ahmed Ben Said, Marwa K. Qaraqe, H. Vincent Poor

IEEE Internet Things J., 2022

Wireless for Machine Learning: A Survey.

Henrik Hellström, José Mairton B. da Silva Jr., Mohammad Mohammadi Amiri, Mingzhe Chen, Viktoria Fodor, H. Vincent Poor, Carlo Fischione

Found. Trends Signal Process., 2022

Pushing AI to Wireless Network Edge: An Overview on Integrated Sensing, Communication, and Computation towards 6G.

Guangxu Zhu, Zhonghao Lyu, Xiang Jiao, Peixi Liu, Mingzhe Chen, Jie Xu, Shuguang Cui, Ping Zhang

CoRR, 2022

On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations.

Nima Tavangaran, Mingzhe Chen, Zhaohui Yang, Jose Mairton B. da Silva Jr., H. Vincent Poor

CoRR, 2022

SSAPPIDENTIFY: A robust system identifies application over Shadowsocks's traffic.

Suixing Wang, Chao Yang, Gang Guo, Mingzhe Chen, Jian Feng Ma

Comput. Networks, 2022

Performance Optimization of Energy Efficient Semantic Communications over Wireless Networks.

Zhaohui Yang, Mingzhe Chen, Zhaoyang Zhang, Chongwen Huang, Qianqian Yang

Proceedings of the 96th Vehicular Technology Conference, 2022

Neural Architecture Searching for Facial Attributes-based Depression Recognition.

Mingzhe Chen, Xi Xiao, Bin Zhang, Xinyu Liu, Runiu Lu

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning.

Mingzhe Chen, Xi Xiao, Wanpeng Zhang, Xiaotian Gao

Proceedings of the IEEE International Conference on Acoustics, 2022

Performance Optimization for Wireless Semantic Communications over Energy Harvesting Networks.

Mingzhe Chen, Yining Wang, H. Vincent Poor

Proceedings of the IEEE International Conference on Acoustics, 2022

Optimization of Image Transmission in Semantic Communication Networks.

Wenjing Zhang, Yining Wang, Mingzhe Chen, Tao Luo, Dusit Niyato

Proceedings of the IEEE Global Communications Conference, 2022

Performance Optimization for Intelligent Reflecting Surface Assisted Multicast MIMO Networks.

Songling Zhang, Zhaohui Yang, Mingzhe Chen, Danpu Liu, Kai-Kit Wong, H. Vincent Poor

Proceedings of the IEEE Global Communications Conference, 2022

Model-Based Reinforcement Learning for Quantized Federated Learning Performance Optimization.

Nuocheng Yang, Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui

Proceedings of the IEEE Global Communications Conference, 2022

Vector Quantized Compressed Sensing for Communication-Efficient Federated Learning.

Yongjeong Oh, Yo-Seb Jeon, Mingzhe Chen, Walid Saad

Proceedings of the IEEE Globecom 2022 Workshops, 2022

Convergence Time Minimization for Federated Reinforcement Learning over Wireless Networks.

Sihua Wang, Mingzhe Chen, Changchuan Yin, H. Vincent Poor

Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

2021

Federated Learning for Wireless Networks

Choong Seon Hong, Latif U. Khan, Mingzhe Chen, Dawei Chen, Walid Saad, Zhu Han

Wireless Networks, Springer, ISBN: 978-981-16-4962-2, 2021

AI-Driven UAV-NOMA-MEC in Next Generation Wireless Networks.

Zhong Yang, Mingzhe Chen, Xiao Liu, Yuanwei Liu, Yue Chen, Shuguang Cui, H. Vincent Poor

IEEE Wirel. Commun., 2021

Artificial Intelligence Aided Next-Generation Networks Relying on UAVs.

Xiao Liu, Mingzhe Chen, Yuanwei Liu, Yue Chen, Shuguang Cui, Lajos Hanzo

IEEE Wirel. Commun., 2021

Energy Efficient Federated Learning Over Wireless Communication Networks.

Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei

IEEE Trans. Wirel. Commun., 2021

A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks.

Mingzhe Chen, Zhaohui Yang, Walid Saad, Changchuan Yin, H. Vincent Poor, Shuguang Cui

IEEE Trans. Wirel. Commun., 2021

Convergence Time Optimization for Federated Learning Over Wireless Networks.

Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui

IEEE Trans. Wirel. Commun., 2021

UVeQFed: Universal Vector Quantization for Federated Learning.

Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui

IEEE Trans. Signal Process., 2021

Optimization of Rate Allocation and Power Control for Rate Splitting Multiple Access (RSMA).

Zhaohui Yang, Mingzhe Chen, Walid Saad, Mohammad Shikh-Bahaei

IEEE Trans. Commun., 2021

Distributed Multi-Agent Meta Learning for Trajectory Design in Wireless Drone Networks.

Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui

IEEE J. Sel. Areas Commun., 2021

Learning to Decode Protograph LDPC Codes.

Jincheng Dai, Kailin Tan, Zhongwei Si, Kai Niu, Mingzhe Chen, H. Vincent Poor, Shuguang Cui

IEEE J. Sel. Areas Commun., 2021

Distributed Learning in Wireless Networks: Recent Progress and Future Challenges.

Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor

IEEE J. Sel. Areas Commun., 2021

Guest Editorial Special Issue on Distributed Learning Over Wireless Edge Networks - Part I.

Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor

IEEE J. Sel. Areas Commun., 2021

Federated Learning for Task and Resource Allocation in Wireless High-Altitude Balloon Networks.

Sihua Wang, Mingzhe Chen, Changchuan Yin, Walid Saad, Choong Seon Hong, Shuguang Cui, H. Vincent Poor

IEEE Internet Things J., 2021

A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks.

Sihua Wang, Mingzhe Chen, Xuanlin Liu, Changchuan Yin, Shuguang Cui, H. Vincent Poor

IEEE Internet Things J., 2021

Joint Location, Bandwidth and Power Optimization for THz-Enabled UAV Communications.

Luyao Xu, Ming Chen, Mingzhe Chen, Zhaohui Yang, Christina Chaccour, Walid Saad, Choong Seon Hong

IEEE Commun. Lett., 2021

Wireless Network Optimization for Federated Learning with Model Compression in Hybrid VLC/RF Systems.

Wuwei Huang, Yang Yang, Mingzhe Chen, Chuanhong Liu, Chunyan Feng, H. Vincent Poor

Entropy, 2021

Fueling the Next Quantum Leap in Cellular Networks: Embracing AI in 5G Evolution towards 6G.

Xingqin Lin, Mingzhe Chen, Henrik Rydén, Jaeseong Jeong, Heunchul Lee, Mårten Sundberg, Roy Timo, Hazhir Shokri-Razaghi, H. Vincent Poor

CoRR, 2021

MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning.

Wanpeng Zhang, Xi Xiao, Yao Yao, Mingzhe Chen, Dijun Luo

CoRR, 2021

Reinforcement Learning for Minimizing Age of Information in Real-time Internet of Things Systems with Realistic Physical Dynamics.

Sihua Wang, Mingzhe Chen, Zhaohui Yang, Changchuan Yin, Walid Saad, Shuguang Cui, H. Vincent Poor

CoRR, 2021

A Comprehensive Survey on 6G Networks: Applications, Core Services, Enabling Technologies, and Future Challenges.

Amin Shahraki, Mahmoud Abbasi, Md. Jalil Piran, Mingzhe Chen, Shuguang Cui

CoRR, 2021

Federated Learning for 6G: Applications, Challenges, and Opportunities.

Zhaohui Yang, Mingzhe Chen, Kai-Kit Wong, H. Vincent Poor, Shuguang Cui

CoRR, 2021

GramMatch: An automatic protocol feature extraction and identification system.

Baolin Ma, Chao Yang, Mingzhe Chen, Jianfeng Ma

Comput. Networks, 2021

Distributed and Democratized Learning: Philosophy and Research Challenges.

Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, Nguyen Hoang Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong

IEEE Comput. Intell. Mag., 2021

Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems.

Chuanhong Liu, Caili Guo, Yang Yang, Mingzhe Chen, H. Vincent Poor, Shuguang Cui

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Minimization of Age of Information for Monitoring Realistic Physical Processes in Unmanned Aerial Vehicle Networks.

Xuanlin Liu, Sihua Wang, Mingzhe Chen, Changchuan Yin, Shuguang Cui, H. Vincent Poor

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Influences of pitch angle for a quadruped robot in bounding gait.

Jinyue Cao, Jun Gu, Mingzhe Chen, Andre Rosendo

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Meta-Reinforcement Learning for Immersive Virtual Reality over THz/VLC Wireless Networks.

Yining Wang, Mingzhe Chen, Zhaohui Yang, Walid Saad, Tao Luo, Shuguang Cui, H. Vincent Poor

Proceedings of the ICC 2021, 2021

Lifelong Learning for Minimizing Age of Information in Internet of Things Networks.

Zhenzhen Gong, Qimei Cui, Christina Chaccour, Bo Zhou, Mingzhe Chen, Walid Saad

Proceedings of the ICC 2021, 2021

Joint Resource Management and Model Compression for Wireless Federated Learning.

Mingzhe Chen, Nir Shlezinger, H. Vincent Poor, Yonina C. Eldar, Shuguang Cui

Proceedings of the ICC 2021, 2021

Performance Optimization of Distributed Primal-Dual Algorithms over Wireless Networks.

Zhaohui Yang, Mingzhe Chen, Kai-Kit Wong, Walid Saad, H. Vincent Poor, Shuguang Cui

Proceedings of the ICC 2021, 2021

Neural Layered Min-Sum Decoding for Protograph LDPC Codes.

Dexin Zhang, Jincheng Dai, Kailin Tan, Kai Niu, Mingzhe Chen, H. Vincent Poor, Shuguang Cui

Proceedings of the IEEE International Conference on Acoustics, 2021

Energy Minimization for Federated Learning with IRS-Assisted Over-the-Air Computation.

Yuntao Hu, Ming Chen, Mingzhe Chen, Zhaohui Yang, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui

Proceedings of the IEEE International Conference on Acoustics, 2021

A Joint Communication and Federated Learning Framework for Internet of Things Networks.

Zhaohui Yang, Guangyu Jia, Mingzhe Chen, Hak-Keung Lam, Kai-Kit Wong, Shuguang Cui, H. Vincent Poor

Proceedings of the IEEE Global Communications Conference, 2021

Physical Layer Security Optimization for MIMO Enabled Visible Light Communication Networks.

Zheng Xu, Ming Chen, Mingzhe Chen, Zhaohui Yang, Yihan Cang, H. Vincent Poor

Proceedings of the IEEE Global Communications Conference, 2021

Performance Optimization for Semantic Communications: An Attention-based Learning Approach.

Yining Wang, Mingzhe Chen, Walid Saad, Tao Luo, Shuguang Cui, H. Vincent Poor

Proceedings of the IEEE Global Communications Conference, 2021

User Scheduling in Federated Learning over Energy Harvesting Wireless Networks.

Rami Hamdi, Mingzhe Chen, Ahmed Ben Said, Marwa K. Qaraqe, H. Vincent Poor

Proceedings of the IEEE Global Communications Conference, 2021

Federated Learning for Collaborative Controller Design of Connected and Autonomous Vehicles.

Tengchan Zeng, Omid Semiari, Mingzhe Chen, Walid Saad, Mehdi Bennis

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation.

Zhicong Yan, Gaolei Li, Yuan Tian, Jun Wu, Shenghong Li, Mingzhe Chen, H. Vincent Poor

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Learning for Optimal Deployment of UAVs With Visible Light Communications.

Yining Wang, Mingzhe Chen, Zhaohui Yang, Tao Luo, Walid Saad

IEEE Trans. Wirel. Commun., 2020

Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach.

Ye Hu, Mingzhe Chen, Walid Saad

IEEE Trans. Wirel. Commun., 2020

Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks.

Mingzhe Chen, Omid Semiari, Walid Saad, Xuanlin Liu, Changchuan Yin

IEEE Trans. Wirel. Commun., 2020

A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems.

Walid Saad, Mehdi Bennis, Mingzhe Chen

IEEE Netw., 2020

Optimal Resource Allocation for Multi-UAV Assisted Visible Light Communication.

Yihan Cang, Ming Chen, Zhaohui Yang, Mingzhe Chen, Chongwen Huang

CoRR, 2020

Joint Location and Power Optimization for THz-enabled UAV Communications.

Luyao Xu, Ming Chen, Mingzhe Chen, Zhaohui Yang, Christina Chaccour, Walid Saad, Choong Seon Hong

CoRR, 2020

Delay Minimization for Federated Learning Over Wireless Communication Networks.

Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui

CoRR, 2020

Wireless Communications for Collaborative Federated Learning in the Internet of Things.

Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui

CoRR, 2020

6G White Paper on Machine Learning in Wireless Communication Networks.

Samad Ali, Walid Saad, Nandana Rajatheva, Kapseok Chang, Daniel Steinbach, Benjamin Sliwa, Christian Wietfeld, Kai Mei, Hamid Shiri, Hans-Jürgen Zepernick, Thi My Chinh Chu, Ijaz Ahmad, Jyrki Huusko, Jaakko Suutala, Shubhangi Bhadauria, Vimal Bhatia, Rangeet Mitra, SaiDhiraj Amuru, Robert Abbas, Baohua Shao, Michele Capobianco, Guanghui Yu, Maëlick Claes, Teemu Karvonen, Mingzhe Chen, Maksym Girnyk, Hassan Malik

CoRR, 2020

Machine Learning for Predictive Deployment of UAVs with Multiple Access.

Linyan Lu, Zhaohui Yang, Mingzhe Chen, Zelin Zang, Mohammad Shikh-Bahaei

CoRR, 2020

Wireless Communications for Collaborative Federated Learning.

Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui

IEEE Commun. Mag., 2020

Trajectory Design for Energy Harvesting UAV Networks: A Foraging Approach.

Xuanlin Liu, Mingzhe Chen, Sihua Wang, Walid Saad, Changchuan Yin

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Resource Allocation for UAV Assisted Wireless Networks with QoS Constraints.

Weihang Ding, Zhaohui Yang, Mingzhe Chen, Jiancao Hou, Mohammad Shikh-Bahaei

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Energy Efficient Full-Duplex Communication Systems with Reconfigurable Intelligent Surface.

Jingwen Zhao, Ming Chen, Mingzhe Chen, Zhaohui Yang, Yinlu Wang, Binghao Cao, Mohammad Shikh-Bahaei

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Reflecting the Light: Energy Efficient Visible Light Communication with Reconfigurable Intelligent Surface.

Binghao Cao, Ming Chen, Zhaohui Yang, Minghui Zhang, Jingwen Zhao, Mingzhe Chen

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Performance Optimization of Federated Learning over Mobile Wireless Networks.

Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Power Efficient Deployment of VLC-enabled UAVs.

Zhiyu Zhu, Yang Yang, Caili Guo, Mingzhe Chen, Shuguang Cui, H. Vincent Poor

Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Optimization of Resource Allocation in Multi-Cell OFDM Systems: A Distributed Reinforcement Learning Approach.

Yuntao Hu, Ming Chen, Zhaohui Yang, Mingzhe Chen, Guangyu Jia

Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms.

Tengchan Zeng, Omid Semiari, Mohammad Mozaffari, Mingzhe Chen, Walid Saad, Mehdi Bennis

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Federated Learning for Energy-Efficient Task Computing in Wireless Networks.

Sihua Wang, Mingzhe Chen, Walid Saad, Changchuan Yin

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Convergence Time Minimization of Federated Learning over Wireless Networks.

Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Energy Efficient Rate Splitting Multiple Access (RSMA) with Reconfigurable Intelligent Surface.

Zhaohui Yang, Jian-Feng Shi, Zhiyang Li, Mingzhe Chen, Wei Xu, Mohammad Shikh-Bahaei

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Downlink Sum-Rate Maximization for Rate Splitting Multiple Access (RSMA).

Zhaohui Yang, Mingzhe Chen, Walid Saad, Mohammad Shikh-Bahaei

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Federated Learning with Quantization Constraints.

Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Reinforcement Learning for Minimizing Age of Information under Realistic Physical Dynamics.

Sihua Wang, Mingzhe Chen, Walid Saad, Changchuan Yin, Shuguang Cui, H. Vincent Poor

Proceedings of the IEEE Global Communications Conference, 2020

Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks.

Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui

Proceedings of the IEEE Global Communications Conference, 2020

Resource Allocation for Wireless Communications with Distributed Reconfigurable Intelligent Surfaces.

Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui

Proceedings of the IEEE Global Communications Conference, 2020

2019

Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs.

Ursula Challita, Aidin Ferdowsi, Mingzhe Chen, Walid Saad

IEEE Wirel. Commun., 2019

Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks.

Mingzhe Chen, Walid Saad, Changchuan Yin

IEEE Trans. Wirel. Commun., 2019

Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach.

Mingzhe Chen, Walid Saad, Changchuan Yin, Mérouane Debbah

IEEE Trans. Commun., 2019

Echo-Liquid State Deep Learning for 360° Content Transmission and Caching in Wireless VR Networks With Cellular-Connected UAVs.

Mingzhe Chen, Walid Saad, Changchuan Yin

IEEE Trans. Commun., 2019

Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach.

Xuanlin Liu, Mingzhe Chen, Changchuan Yin

J. Commun. Inf. Networks, 2019

Power Efficient Visible Light Communication With Unmanned Aerial Vehicles.

Yang Yang, Mingzhe Chen, Caili Guo, Chunyan Feng, Walid Saad

IEEE Commun. Lett., 2019

Power Efficient Visible Light Communication (VLC) with Unmanned Aerial Vehicles (UAVs).

Yang Yang, Mingzhe Chen, Caili Guo, Chunyan Feng, Walid Saad

CoRR, 2019

Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial.

Mingzhe Chen, Ursula Challita, Walid Saad, Changchuan Yin, Mérouane Debbah

IEEE Commun. Surv. Tutorials, 2019

Competitive Market for Joint Access and Backhaul Resource Allocation in Satellite-Drone Networks.

Ye Hu, Mingzhe Chen, Walid Saad

Proceedings of the 10th IFIP International Conference on New Technologies, 2019

Liquid State Based Transfer Learning for 360° Image Transmission in Wireless VR Networks.

Mingzhe Chen, Walid Saad, Changchuan Yin

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Deep Learning for 360° Content Transmission in UAV-Enabled Virtual Reality.

Mingzhe Chen, Walid Saad, Changchuan Yin

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Task and Resource Allocation in Mobile Edge Computing: An Improved Reinforcement Learning Approach.

Sihua Wang, Mingzhe Chen, Xuanlin Liu, Changchuan Yin

Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs.

Yining Wang, Mingzhe Chen, Zhaohui Yang, Xue Hao, Tao Luo, Walid Saad

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Federated Deep Learning for Immersive Virtual Reality over Wireless Networks.

Mingzhe Chen, Omid Semiari, Walid Saad, Xuanlin Liu, Changchuan Yin

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Performance Optimization of Federated Learning over Wireless Networks.

Mingzhe Chen, Zhaohui Yang, Walid Saad, Changchuan Yin, H. Vincent Poor, Shuguang Cui

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

Virtual Reality Over Wireless Networks: Quality-of-Service Model and Learning-Based Resource Management.

Mingzhe Chen, Walid Saad, Changchuan Yin

IEEE Trans. Commun., 2018

Artificial Intelligence for Wireless Connectivity and Security of Cellular-Connected UAVs.

Ursula Challita, Aidin Ferdowsi, Mingzhe Chen, Walid Saad

CoRR, 2018

Distributed Resource Allocation for Mobile Users in Cache-Enabled Software Defined Cellular Networks.

Xiangqun Yang, Chunyu Pan, Mingzhe Chen, Changchuan Yin

Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

Analysis of Memory Capacity for Deep Echo State Networks.

Xuanlin Liu, Mingzhe Chen, Changchuan Yin, Walid Saad

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Optimized Trajectory Design in UAV Based Cellular Networks: A Double Q-Learning Approach.

Xuanlin Liu, Mingzhe Chen, Changchuan Yin

Proceedings of the IEEE International Conference on Communication Systems, 2018

Echo State Learning for Wireless Virtual Reality Resource Allocation in UAV-Enabled LTE-U Networks.

Mingzhe Chen, Walid Saad, Changchuan Yin

Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017

Echo State Networks for Proactive Caching in Cloud-Based Radio Access Networks With Mobile Users.

Mingzhe Chen, Walid Saad, Changchuan Yin, Mérouane Debbah

IEEE Trans. Wirel. Commun., 2017

Echo State Networks for Self-Organizing Resource Allocation in LTE-U With Uplink-Downlink Decoupling.

Mingzhe Chen, Walid Saad, Changchuan Yin

IEEE Trans. Wirel. Commun., 2017

Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience.

Mingzhe Chen, Mohammad Mozaffari, Walid Saad, Changchuan Yin, Mérouane Debbah, Choong Seon Hong

IEEE J. Sel. Areas Commun., 2017

Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks.

Mingzhe Chen, Ursula Challita, Walid Saad, Changchuan Yin, Mérouane Debbah

CoRR, 2017

Reinforcement learning based resource allocation in cache-enabled small cell networks with mobile users.

Tianmu Gao, Mingzhe Chen, Hanzhou Gu, Changchuan Yin

Proceedings of the 2017 IEEE/CIC International Conference on Communications in China, 2017

Liquid State Machine Learning for Resource Allocation in a Network of Cache-Enabled LTE-U UAVs.

Mingzhe Chen, Walid Saad, Changchuan Yin

Proceedings of the 2017 IEEE Global Communications Conference, 2017

Resource Management for Wireless Virtual Reality: Machine Learning Meets Multi-Attribute Utility.

Mingzhe Chen, Walid Saad, Changchuan Yin

Proceedings of the 2017 IEEE Global Communications Conference, 2017

Echo state transfer learning for data correlation aware resource allocation in wireless virtual reality.

Mingzhe Chen, Walid Saad, Changchuan Yin, Mérouane Debbah

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Tri-Sectoring and Power Allocation of Macro Base Stations in Heterogeneous Cellular Networks with Matern Hard-Core Processes.

Mingzhe Chen, Ye Hu, Changchuan Yin

Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Optimized uplink-downlink decoupling in LTE-U networks: An echo state approach.

Mingzhe Chen, Walid Saad, Changchuan Yin

Proceedings of the 2016 IEEE International Conference on Communications, 2016

Echo State Networks for Proactive Caching and Content Prediction in Cloud Radio Access Networks.

Mingzhe Chen, Walid Saad, Changchuan Yin, Mérouane Debbah

Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

2015

Power control algorithm based on the interference statistic properties in heterogeneous networks.

Mingzhe Chen, Fangfang Liu, Zhimin Zeng

Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015