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2020 – today
- 2024
[b2]Mingzhe Chen, Shuguang Cui
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Communication Efficient Federated Learning for Wireless Networks. Wireless Networks, Springer 2024, ISBN 978-3-031-51265-0, pp. 1-170- [j72]Zhouxiang Zhao, Zhaohui Yang, Mingzhe Chen, Zhaoyang Zhang, H. Vincent Poor:
A Joint Communication and Computation Design for Probabilistic Semantic Communications. Entropy 26(5): 394 (2024) - [j71]Weihang Ding, Zhaohui Yang, Mingzhe Chen, Yuchen Liu, Mohammad Shikh-Bahaei:
Joint Vehicle Connection and Beamforming Optimiziation in Digital-Twin-Assisted Integrated Sensing and Communication Vehicular Networks. IEEE Internet Things J. 11(20): 32923-32938 (2024) - [j70]Yang Yang, Mingzhe Chen, Yufei W. Blankenship, Jemin Lee, Zabih Ghassemlooy, Julian Cheng, Shiwen Mao:
Guest Editorial Positioning and Sensing Over Wireless Networks - Part I. IEEE J. Sel. Areas Commun. 42(9): 2143-2148 (2024) - [j69]Yang Yang, Mingzhe Chen, Yufei W. Blankenship, Jemin Lee, Zabih Ghassemlooy, Julian Cheng, Shiwen Mao:
Positioning Using Wireless Networks: Applications, Recent Progress, and Future Challenges. IEEE J. Sel. Areas Commun. 42(9): 2149-2178 (2024) - [j68]Yang Yang, Mingzhe Chen, Yufei W. Blankenship, Jemin Lee, Zabih Ghassemlooy, Julian Cheng, Shiwen Mao:
Guest Editorial Positioning and Sensing Over Wireless Networks - Part II. IEEE J. Sel. Areas Commun. 42(10): 2603-2607 (2024) - [j67]Zhaohui Yang, Mingzhe Chen, Yuchen Liu, Zhaoyang Zhang:
A Joint Communication and Computation Framework for Digital Twin Over Wireless Networks. IEEE J. Sel. Top. Signal Process. 18(1): 6-17 (2024) - [j66]Xingqin Lin, Mingzhe Chen, Taesang Yoo, Yue Wang, Lina Bariah, Nguyen Hoang Tran, Kaibin Huang:
The Interplay Between Generative AI and 5G-Advanced Toward 6G. IEEE Netw. 38(5): 7-9 (2024) - [j65]Jing Zhang, Mingzhe Chen, Yunzuo Hu, Xinzhou Zhang, Zhe Wang:
BMPCN: A Bigraph Mutual Prototype Calibration Net for few-shot classification. Pattern Recognit. 156: 110841 (2024) - [j64]Yihan Cang, Ming Chen, Yijin Pan, Zhaohui Yang, Ye Hu, Haijian Sun, Mingzhe Chen:
Joint User Scheduling and Computing Resource Allocation Optimization in Asynchronous Mobile Edge Computing Networks. IEEE Trans. Commun. 72(6): 3378-3392 (2024) - [j63]Zhiyu Zhu, Yang Yang, Mingzhe Chen, Caili Guo, Jiangyi Hao, Shuguang Cui:
Visible Light Positioning With Visual Odometry: A Single Luminaire Based Positioning Algorithm. IEEE Trans. Commun. 72(8): 4978-4991 (2024) - [j62]Ran Zhang, Fangqi Liu, Jiang Liu, Mingzhe Chen, Qinqin Tang, Tao Huang, F. Richard Yu:
CPPer-FL: Clustered Parallel Training for Efficient Personalized Federated Learning. IEEE Trans. Mob. Comput. 23(10): 9424-9436 (2024) - [j61]Wenjing Zhang, Yining Wang, Mingzhe Chen, Tao Luo, Dusit Niyato:
Optimization of Image Transmission in Cooperative Semantic Communication Networks. IEEE Trans. Wirel. Commun. 23(2): 861-873 (2024) - [j60]Yongjeong Oh, Yo-Seb Jeon, Mingzhe Chen, Walid Saad:
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing. IEEE Trans. Wirel. Commun. 23(3): 1755-1770 (2024) - [j59]Songling Zhang, Zhaohui Yang, Mingzhe Chen, Danpu Liu, Kai-Kit Wong, H. Vincent Poor:
Beamforming Design for the Performance Optimization of Intelligent Reflecting Surface Assisted Multicast MIMO Networks. IEEE Trans. Wirel. Commun. 23(3): 2325-2339 (2024) - [j58]Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui:
Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks. IEEE Trans. Wirel. Commun. 23(3): 2340-2356 (2024) - [j57]Xuefei Li, Mingzhe Chen, Ye Hu, Zhilong Zhang, Danpu Liu, Shiwen Mao:
Jointly Optimizing Terahertz Based Sensing and Communications in Vehicular Networks: A Dynamic Graph Neural Network Approach. IEEE Trans. Wirel. Commun. 23(10): 12917-12932 (2024) - [j56]Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton:
Digital Over-the-Air Federated Learning in Multi-Antenna Systems. IEEE Trans. Wirel. Commun. 23(10): 15125-15141 (2024) - [c86]Jing Zhang, Xiaoqiang Liu, Mingzhe Chen, Zhe Wang:
Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering. AAAI 2024: 7151-7159 - [c85]Lunan Sun, Caili Guo, Mingzhe Chen, Yang Yang:
Privacy-Aware Joint Source-Channel Coding For Image Transmission Based On Disentangled Information Bottleneck. ICASSP 2024: 9016-9020 - [c84]Zhaohui Yang, Mingzhe Chen, Yuchen Liu, Zhaoyang Zhang:
Optimizing Synchronization Delay for Digital Twin over Wireless Networks. ICASSP 2024: 9106-9110 - [c83]Songling Zhang, Mingzhe Chen, Wenjing Zhang, Zhaohui Yang, Danpu Liu, Zhilong Zhang, Kai-Kit Wong:
Performance Optimization for Multicast Mm Wave MIMO Networks with Mobile Users. ICC Workshops 2024: 846-851 - [c82]Zhouxiang Zhao, Zhaohui Yang, Mingzhe Chen, Changsheng You, Qianqian Yang, Wei Xu, Zhaoyang Zhang:
Multi-User Probabilistic Semantic Communication with Semantic Compression Ratio Optimization. ICC Workshops 2024: 1647-1652 - [c81]Zhizhen Li, Xuanhao Luo, Mingzhe Chen, Chenhan Xu, Yuchen Liu:
Context-Aware Beam Management via Online Probing in Combinatorial Multi-Armed Bandits. ICC 2024: 3202-3207 - [c80]Nuocheng Yang, Sihua Wang, Mingzhe Chen, Changchuan Yin, Christopher G. Brinton:
A Privacy Preserving and Byzantine Robust Collaborative Federated Learning Method Design. ICC 2024: 3598-3603 - [c79]Ouwen Huan, Mingzhe Chen, Tao Luo:
Optimizing Vehicle Positioning via Multi-Model Image and Radio Frequency Fusion. ICC 2024: 4403-4408 - [c78]Zhijin Yang, Zhizhen Li, Yi Wang, Jianqing Liu, Mingzhe Chen, Yuchen Liu:
GemNet: Analysis and Prediction of Building Materials for Optimizing Indoor Wireless Networks. ICC 2024: 4888-4893 - [c77]Jiahui Zhao, Ming Chen, Zhaohui Yang, Changsheng You, Mingzhe Chen:
Resource Allocation for Semantic Relay Aided Wireless Networks with Probability Graph. ICC 2024: 5317-5322 - [c76]Jiantong Zhang, Mingzhe Chen, Yujiao Zhu, H. Shihao, Tao Luo, Zhilong Zhang:
Performance Optimization of Semantic Communications for Users with Heterogeneous Knowledge. ICC 2024: 5515-5520 - [c75]Zifan Zhang, Mingzhe Chen, Zhaohui Yang, Yuchen Liu:
Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learning. IFIP Networking 2024: 359-367 - [c74]Zhouxiang Zhao, Zhaohui Yang, Mingzhe Chen, Xu Gan, Chongwen Huang, Yao Sun, Qianqian Yang, Wei Xu, Zhaoyang Zhang:
Spectral Efficiency Maximization for Probabilistic Semantic Communication with Rate Splitting. VTC Spring 2024: 1-5 - [c73]Xuefei Li, Mingzhe Chen, Ye Hu, Zhilong Zhang, Danpu Liu, Shiwen Mao:
Dynamic Graph Neural Networks for Joint Terahertz based Sensing and Communication Optimization in Vehicular Networks. WCNC 2024: 1-6 - [c72]Rui Xu, Gaolei Li, Zhaohui Yang, Mingzhe Chen, Yuchen Liu, Jianhua Li:
Covert and Reliable Semantic Communication Against Cross-Layer Privacy Inference over Wireless Edge Networks. WCNC 2024: 1-6 - [i81]Bruno Clerckx, Yijie Mao, Zhaohui Yang, Mingzhe Chen, Ahmed Alkhateeb, Liang Liu, Min Qiu, Jinhong Yuan, Vincent W. S. Wong, Juan Montojo:
Multiple Access Techniques for Intelligent and Multi-Functional 6G: Tutorial, Survey, and Outlook. CoRR abs/2401.01433 (2024) - [i80]Yujiao Zhu, Mingzhe Chen, Sihua Wang, Ye Hu, Yuchen Liu, Changchuan Yin:
Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking. CoRR abs/2401.12079 (2024) - [i79]Zhaohui Yang, Mingzhe Chen, Yuchen Liu, Zhaoyang Zhang:
A Joint Communication and Computation Framework for Digital Twin over Wireless Networks. CoRR abs/2402.00381 (2024) - [i78]Zhouxiang Zhao, Zhaohui Yang, Mingzhe Chen, Zhaoyang Zhang, H. Vincent Poor:
A Joint Communication and Computation Design for Probabilistic Semantic Communications. CoRR abs/2402.16328 (2024) - [i77]Hanzhi Yu, Yuchen Liu, Mingzhe Chen:
Complex-Valued Neural Network based Federated Learning for Multi-user Indoor Positioning Performance Optimization. CoRR abs/2403.00665 (2024) - [i76]Xuefei Li, Mingzhe Chen, Ye Hu, Zhilong Zhang, Danpu Liu, Shiwen Mao:
Jointly Optimizing Terahertz based Sensing and Communications in Vehicular Networks: A Dynamic Graph Neural Network Approach. CoRR abs/2403.11102 (2024) - [i75]Zifan Zhang, Mingzhe Chen, Zhaohui Yang, Yuchen Liu:
Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learning. CoRR abs/2404.14497 (2024) - [i74]Hanwen Zhang, Mingzhe Chen, Alireza Vahid, Haijian Sun:
Model-based Deep Learning for Rate Split Multiple Access in Vehicular Communications. CoRR abs/2405.01515 (2024) - [i73]Yusen Wu, Ye Hu, Mingzhe Chen, Yelena Yesha, Mérouane Debbah:
Blockchains for Internet of Things: Fundamentals, Applications, and Challenges. CoRR abs/2405.04803 (2024) - [i72]Zifan Zhang, Yuchen Liu, Zhiyuan Peng, Mingzhe Chen, Dongkuan Xu, Shuguang Cui:
Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks. CoRR abs/2407.00286 (2024) - [i71]Zifan Zhang, Minghong Fang, Mingzhe Chen, Gaolei Li, Xi Lin, Yuchen Liu:
Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks. CoRR abs/2407.01917 (2024) - [i70]Zhouxiang Zhao, Zhaohui Yang, Mingzhe Chen, Zhaoyang Zhang, Wei Xu, Kaibin Huang:
Energy-Efficient Probabilistic Semantic Communication over Space-Air-Ground Integrated Networks. CoRR abs/2407.03776 (2024) - [i69]Weihang Ding, Zhaohui Yang, Mingzhe Chen, Yuchen Liu, Mohammad Shikh-Bahaei:
Joint Vehicle Connection and Beamforming Optimization in Digital Twin Assisted Integrated Sensing and Communication Vehicular Networks. CoRR abs/2408.00248 (2024) - 2023
- [j55]Mingzhe Chen, Jing Wu, Feihong Luo, Jing Zhang, Miaoying Zhang, Chengjun Sun:
Adaptive Critical Region Extraction Net via relationship modeling for bone age assessment. Biomed. Signal Process. Control. 86(Part B): 105182 (2023) - [j54]Guangxu Zhu, Zhonghao Lyu, Xiang Jiao, Peixi Liu, Mingzhe Chen, Jie Xu, Shuguang Cui, Yan-Ping Zhang:
Pushing AI to wireless network edge: an overview on integrated sensing, communication, and computation towards 6G. Sci. China Inf. Sci. 66(3) (2023) - [j53]Zhaohui Yang, Mingzhe Chen, Zhaoyang Zhang, Chongwen Huang:
Energy Efficient Semantic Communication Over Wireless Networks With Rate Splitting. IEEE J. Sel. Areas Commun. 41(5): 1484-1495 (2023) - [j52]Lunan Sun, Yang Yang, Mingzhe Chen, Caili Guo, Walid Saad, H. Vincent Poor:
Adaptive Information Bottleneck Guided Joint Source and Channel Coding for Image Transmission. IEEE J. Sel. Areas Commun. 41(8): 2628-2644 (2023) - [j51]Xuefei Li, Mingzhe Chen, Yuchen Liu, Zhilong Zhang, Danpu Liu, Shiwen Mao:
Graph Neural Networks for Joint Communication and Sensing Optimization in Vehicular Networks. IEEE J. Sel. Areas Commun. 41(12): 3893-3907 (2023) - [j50]Xiaowen Gong, Kaibin Huang, Mingzhe Chen, Carlo Fischione, Jun Zhang, Wan Choi:
Guest Editorial Special Section on Distributed Edge Learning in Wireless Networks. IEEE Open J. Commun. Soc. 4: 2729-2732 (2023) - [j49]Zhiyu Zhu, Caili Guo, Rongzhen Bao, Mingzhe Chen, Walid Saad, Yang Yang:
Positioning Using Visible Light Communications: A Perspective Arcs Approach. IEEE Trans. Wirel. Commun. 22(10): 6962-6977 (2023) - [j48]Jiacheng Yao, Zhaohui Yang, Wei Xu, Mingzhe Chen, Dusit Niyato:
GoMORE: Global Model Reuse for Resource-Constrained Wireless Federated Learning. IEEE Wirel. Commun. Lett. 12(9): 1543-1547 (2023) - [c71]Nuocheng Yang, Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin:
Energy Efficient Collaborative Federated Learning Design: A Graph Neural Network based Approach. GLOBECOM 2023: 164-169 - [c70]Nuocheng Yang, Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton:
MIMO Beamforming and Signal Modulation Design for Federated Learning Optimization. GLOBECOM 2023: 607-612 - [c69]Zeyang Hu, Tianyu Liu, Changsheng You, Zhaohui Yang, Mingzhe Chen:
Multiuser Resource Allocation for Semantic-Relay-Aided Text Transmissions. GLOBECOM (Workshops) 2023: 1273-1278 - [c68]Yujiao Zhu, Mingzhe Chen, Sihua Wang, Yuchen Liu, Changchuan Yin:
Trajectory Design for 3D UAV Localization in UAV Based Networks. GLOBECOM 2023: 4927-4932 - [c67]Hanzhi Yu, Mingzhe Chen, Zhaohui Yang, Yuchen Liu:
Complex Neural Networks for Indoor Positioning with Complex-Valued Channel State Information. GLOBECOM 2023: 5611-5616 - [c66]Zhizhen Li, Mingzhe Chen, Gaolei Li, Yuchen Liu:
Spatial-Temporal Attention-Based mmWave Link Quality Prediction Under Dynamic Blockages. GLOBECOM 2023: 6279-6284 - [c65]Bei Chen, Gaolei Li, Mingzhe Chen, Yuchen Liu, Xiaoyu Yi, Jianhua Li:
PBE-Plan: Periodic Backdoor Erasing Plan for Trustworthy Federated Learning. HPCC/DSS/SmartCity/DependSys 2023: 41-48 - [c64]Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Mingzhe Chen:
Learning-Based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing. ICC 2023: 4045-4050 - [c63]Zhiyu Zhu, Yang Yang, Mingzhe Chen, Caili Guo, Yipeng Bai:
Visible Light Positioning Based on a Single Luminaire: A Novel Visual Odometry Assisted Algorithm. ICC 2023: 4707-4712 - [c62]Xuefei Li, Mingzhe Chen, Zhilong Zhang, Danpu Liu, Yuchen Liu, Shiwen Mao:
Joint Optimization of Sensing and Communications in Vehicular Networks: A Graph Neural Network-Based Approach. ICC 2023: 5719-5724 - [c61]Yuchen Liu, Mingzhe Chen, Dongkuan Xu, Zhaohui Yang, Shangqing Zhao:
E-App: Adaptive mmWave Access Point Planning with Environmental Awareness in Wireless LANs. ICCCN 2023: 1-10 - [i68]Wenjing Zhang, Yining Wang, Mingzhe Chen, Tao Luo, Dusit Niyato:
Optimization of Image Transmission in a Cooperative Semantic Communication Networks. CoRR abs/2301.00433 (2023) - [i67]Zhaohui Yang, Mingzhe Chen, Gaolei Li, Yang Yang, Zhaoyang Zhang:
Secure Semantic Communications: Fundamentals and Challenges. CoRR abs/2301.01421 (2023) - [i66]Zhaohui Yang, Mingzhe Chen, Zhaoyang Zhang, Chongwen Huang:
Energy Efficient Semantic Communication over Wireless Networks with Rate Splitting. CoRR abs/2301.01987 (2023) - [i65]Xuefei Li, Mingzhe Chen, Yuchen Liu, Zhilong Zhang, Danpu Liu, Shiwen Mao:
Graph Neural Networks for Joint Communication and Sensing Optimization in Vehicular Networks. CoRR abs/2302.02878 (2023) - [i64]Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton:
Cross-Layer Federated Learning Optimization in MIMO Networks. CoRR abs/2302.14648 (2023) - [i63]Jiacheng Yao, Zhaohui Yang, Wei Xu, Mingzhe Chen, Dusit Niyato:
GoMORE: Global Model Reuse for Resource-Constrained Wireless Federated Learning. CoRR abs/2306.05380 (2023) - [i62]Lunan Sun, Caili Guo, Mingzhe Chen, Yang Yang:
Privacy-Aware Joint Source-Channel Coding for image transmission based on Disentangled Information Bottleneck. CoRR abs/2309.08188 (2023) - [i61]Lunan Sun, Yang Yang, Mingzhe Chen, Caili Guo:
Disentangled Information Bottleneck guided Privacy-Protective JSCC for Image Transmission. CoRR abs/2309.10263 (2023) - [i60]Licheng Lin, Mingzhe Chen, Zhaohui Yang, Yusen Wu, Yuchen Liu:
A Joint Gradient and Loss Based Clustered Federated Learning Design. CoRR abs/2311.13665 (2023) - 2022
- [j47]Suixing Wang, Chao Yang, Gang Guo, Mingzhe Chen, Jian Feng Ma:
SSAPPIDENTIFY: A robust system identifies application over Shadowsocks's traffic. Comput. Networks 203: 108659 (2022) - [j46]Henrik Hellström, José Mairton B. da Silva Jr., Mohammad Mohammadi Amiri, Mingzhe Chen, Viktoria Fodor, H. Vincent Poor, Carlo Fischione:
Wireless for Machine Learning: A Survey. Found. Trends Signal Process. 15(4): 290-399 (2022) - [j45]Rami Hamdi, Mingzhe Chen, Ahmed Ben Said, Marwa K. Qaraqe, H. Vincent Poor:
Federated Learning Over Energy Harvesting Wireless Networks. IEEE Internet Things J. 9(1): 92-103 (2022) - [j44]Yang Yang, Yujie Yang, Mingzhe Chen, Chunyan Feng, Hailun Xia, Shuguang Cui, H. Vincent Poor:
Joint LED Selection and Precoding Optimization for Multiple-User Multiple-Cell VLC Systems. IEEE Internet Things J. 9(8): 6003-6017 (2022) - [j43]Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor:
Guest Editorial Special Issue on Distributed Learning Over Wireless Edge Networks - Part II. IEEE J. Sel. Areas Commun. 40(2): 445-448 (2022) - [j42]Yaru Fu, Yue Zhang, Qi Zhu, Mingzhe Chen, Tony Q. S. Quek:
Joint Content Caching, Recommendation, and Transmission Optimization for Next Generation Multiple Access Networks. IEEE J. Sel. Areas Commun. 40(5): 1600-1614 (2022) - [j41]Yining Wang, Mingzhe Chen, Tao Luo, Walid Saad, Dusit Niyato, H. Vincent Poor, Shuguang Cui:
Performance Optimization for Semantic Communications: An Attention-Based Reinforcement Learning Approach. IEEE J. Sel. Areas Commun. 40(9): 2598-2613 (2022) - [j40]Sihua Wang, Mingzhe Chen, Zhaohui Yang, Changchuan Yin, Walid Saad, Shuguang Cui, H. Vincent Poor:
Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems. IEEE J. Sel. Top. Signal Process. 16(3): 501-515 (2022) - [j39]Zhilong Zhang, Minyin Zeng, Mingzhe Chen, Danpu Liu, Walid Saad, Shuguang Cui, H. Vincent Poor:
Joint User Grouping, Version Selection, and Bandwidth Allocation for Live Video Multicasting. IEEE Trans. Commun. 70(1): 350-365 (2022) - [j38]Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei:
Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication. IEEE Trans. Mob. Comput. 21(7): 2596-2609 (2022) - [j37]Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui:
Energy-Efficient Wireless Communications With Distributed Reconfigurable Intelligent Surfaces. IEEE Trans. Wirel. Commun. 21(1): 665-679 (2022) - [j36]Lin Bai, Yang Yang, Mingzhe Chen, Chunyan Feng, Caili Guo, Walid Saad, Shuguang Cui:
Computer Vision-Based Localization With Visible Light Communications. IEEE Trans. Wirel. Commun. 21(3): 2051-2065 (2022) - [j35]Yining Wang, Mingzhe Chen, Zhaohui Yang, Walid Saad, Tao Luo, Shuguang Cui, H. Vincent Poor:
Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks. IEEE Trans. Wirel. Commun. 21(9): 7778-7793 (2022) - [j34]Tengchan Zeng, Omid Semiari, Mingzhe Chen, Walid Saad, Mehdi Bennis:
Federated Learning on the Road Autonomous Controller Design for Connected and Autonomous Vehicles. IEEE Trans. Wirel. Commun. 21(12): 10407-10423 (2022) - [c60]Sihua Wang, Mingzhe Chen, Changchuan Yin, H. Vincent Poor:
Convergence Time Minimization for Federated Reinforcement Learning over Wireless Networks. CISS 2022: 246-251 - [c59]Yongjeong Oh, Yo-Seb Jeon, Mingzhe Chen, Walid Saad:
Vector Quantized Compressed Sensing for Communication-Efficient Federated Learning. GLOBECOM (Workshops) 2022: 365-370 - [c58]Nuocheng Yang, Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui:
Model-Based Reinforcement Learning for Quantized Federated Learning Performance Optimization. GLOBECOM 2022: 5063-5068 - [c57]Songling Zhang, Zhaohui Yang, Mingzhe Chen, Danpu Liu, Kai-Kit Wong, H. Vincent Poor:
Performance Optimization for Intelligent Reflecting Surface Assisted Multicast MIMO Networks. GLOBECOM 2022: 5838-5843 - [c56]Wenjing Zhang, Yining Wang, Mingzhe Chen, Tao Luo, Dusit Niyato:
Optimization of Image Transmission in Semantic Communication Networks. GLOBECOM 2022: 5965-5970 - [c55]Mingzhe Chen, Xi Xiao, Wanpeng Zhang, Xiaotian Gao:
Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning. ICASSP 2022: 4023-4027 - [c54]Mingzhe Chen, Yining Wang, H. Vincent Poor:
Performance Optimization for Wireless Semantic Communications over Energy Harvesting Networks. ICASSP 2022: 8647-8651 - [c53]Mingzhe Chen, Xi Xiao, Bin Zhang, Xinyu Liu, Runiu Lu:
Neural Architecture Searching for Facial Attributes-based Depression Recognition. ICPR 2022: 877-884 - [c52]Zhaohui Yang, Mingzhe Chen, Zhaoyang Zhang, Chongwen Huang, Qianqian Yang:
Performance Optimization of Energy Efficient Semantic Communications over Wireless Networks. VTC Fall 2022: 1-5 - [i59]Mingzhe Chen, Xi Xiao, Bin Zhang, Xinyu Liu, Runiu Lu:
Neural Architecture Searching for Facial Attributes-based Depression Recognition. CoRR abs/2201.09799 (2022) - [i58]Yongjeong Oh, Yo-Seb Jeon, Mingzhe Chen, Walid Saad:
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing. CoRR abs/2204.07692 (2022) - [i57]Yining Wang, Mingzhe Chen, Tao Luo, Walid Saad, Dusit Niyato, H. Vincent Poor, Shuguang Cui:
Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach. CoRR abs/2208.08239 (2022) - [i56]Nima Tavangaran, Mingzhe Chen, Zhaohui Yang, Jose Mairton B. da Silva Jr., H. Vincent Poor:
On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations. CoRR abs/2208.11848 (2022) - [i55]Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui:
Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks. CoRR abs/2209.10200 (2022) - [i54]Guangxu Zhu, Zhonghao Lyu, Xiang Jiao, Peixi Liu, Mingzhe Chen, Jie Xu, Shuguang Cui, Ping Zhang:
Pushing AI to Wireless Network Edge: An Overview on Integrated Sensing, Communication, and Computation towards 6G. CoRR abs/2211.02574 (2022) - [i53]Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Mingzhe Chen:
Learning-based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing. CoRR abs/2211.06681 (2022) - 2021
- [b1]Choong Seon Hong, Latif U. Khan, Mingzhe Chen, Dawei Chen, Walid Saad, Zhu Han:
Federated Learning for Wireless Networks. Wireless Networks, Springer 2021, ISBN 978-981-16-4962-2, pp. 3-239 - [j33]Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, Nguyen Hoang Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong:
Distributed and Democratized Learning: Philosophy and Research Challenges. IEEE Comput. Intell. Mag. 16(1): 49-62 (2021) - [j32]Baolin Ma, Chao Yang, Mingzhe Chen, Jianfeng Ma:
GramMatch: An automatic protocol feature extraction and identification system. Comput. Networks 201: 108528 (2021) - [j31]Wuwei Huang, Yang Yang, Mingzhe Chen, Chuanhong Liu, Chunyan Feng, H. Vincent Poor:
Wireless Network Optimization for Federated Learning with Model Compression in Hybrid VLC/RF Systems. Entropy 23(11): 1413 (2021) - [j30]Luyao Xu, Ming Chen, Mingzhe Chen, Zhaohui Yang, Christina Chaccour, Walid Saad, Choong Seon Hong:
Joint Location, Bandwidth and Power Optimization for THz-Enabled UAV Communications. IEEE Commun. Lett. 25(6): 1984-1988 (2021) - [j29]Sihua Wang, Mingzhe Chen, Xuanlin Liu, Changchuan Yin, Shuguang Cui, H. Vincent Poor:
A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks. IEEE Internet Things J. 8(3): 1358-1372 (2021) - [j28]Sihua Wang, Mingzhe Chen, Changchuan Yin, Walid Saad, Choong Seon Hong, Shuguang Cui, H. Vincent Poor:
Federated Learning for Task and Resource Allocation in Wireless High-Altitude Balloon Networks. IEEE Internet Things J. 8(24): 17460-17475 (2021) - [j27]Jincheng Dai, Kailin Tan, Zhongwei Si, Kai Niu, Mingzhe Chen, H. Vincent Poor, Shuguang Cui:
Learning to Decode Protograph LDPC Codes. IEEE J. Sel. Areas Commun. 39(7): 1983-1999 (2021) - [j26]Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui:
Distributed Multi-Agent Meta Learning for Trajectory Design in Wireless Drone Networks. IEEE J. Sel. Areas Commun. 39(10): 3177-3192 (2021) - [j25]Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor:
Guest Editorial Special Issue on Distributed Learning Over Wireless Edge Networks - Part I. IEEE J. Sel. Areas Commun. 39(12): 3575-3578 (2021) - [j24]Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor:
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges. IEEE J. Sel. Areas Commun. 39(12): 3579-3605 (2021) - [j23]Zhaohui Yang, Mingzhe Chen, Walid Saad, Mohammad Shikh-Bahaei:
Optimization of Rate Allocation and Power Control for Rate Splitting Multiple Access (RSMA). IEEE Trans. Commun. 69(9): 5988-6002 (2021) - [j22]Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui:
UVeQFed: Universal Vector Quantization for Federated Learning. IEEE Trans. Signal Process. 69: 500-514 (2021) - [j21]Mingzhe Chen, Zhaohui Yang, Walid Saad, Changchuan Yin, H. Vincent Poor, Shuguang Cui:
A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks. IEEE Trans. Wirel. Commun. 20(1): 269-283 (2021) - [j20]Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei:
Energy Efficient Federated Learning Over Wireless Communication Networks. IEEE Trans. Wirel. Commun. 20(3): 1935-1949 (2021) - [j19]Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui:
Convergence Time Optimization for Federated Learning Over Wireless Networks. IEEE Trans. Wirel. Commun. 20(4): 2457-2471 (2021) - [j18]Xiao Liu, Mingzhe Chen, Yuanwei Liu, Yue Chen, Shuguang Cui, Lajos Hanzo:
Artificial Intelligence Aided Next-Generation Networks Relying on UAVs. IEEE Wirel. Commun. 28(1): 120-127 (2021) - [j17]Zhong Yang, Mingzhe Chen, Xiao Liu, Yuanwei Liu, Yue Chen, Shuguang Cui, H. Vincent Poor:
AI-Driven UAV-NOMA-MEC in Next Generation Wireless Networks. IEEE Wirel. Commun. 28(5): 66-73 (2021) - [c51]Zhicong Yan, Gaolei Li, Yuan Tian, Jun Wu, Shenghong Li, Mingzhe Chen, H. Vincent Poor:
DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation. AAAI 2021: 10585-10593 - [c50]Tengchan Zeng, Omid Semiari, Mingzhe Chen, Walid Saad, Mehdi Bennis:
Federated Learning for Collaborative Controller Design of Connected and Autonomous Vehicles. CDC 2021: 5033-5038 - [c49]Rami Hamdi, Mingzhe Chen, Ahmed Ben Said, Marwa K. Qaraqe, H. Vincent Poor:
User Scheduling in Federated Learning over Energy Harvesting Wireless Networks. GLOBECOM 2021: 1-6 - [c48]Yining Wang, Mingzhe Chen, Walid Saad, Tao Luo, Shuguang Cui, H. Vincent Poor:
Performance Optimization for Semantic Communications: An Attention-based Learning Approach. GLOBECOM 2021: 1-6 - [c47]Zheng Xu, Ming Chen, Mingzhe Chen, Zhaohui Yang, Yihan Cang, H. Vincent Poor:
Physical Layer Security Optimization for MIMO Enabled Visible Light Communication Networks. GLOBECOM 2021: 1-6 - [c46]Zhaohui Yang, Guangyu Jia, Mingzhe Chen, Hak-Keung Lam, Kai-Kit Wong, Shuguang Cui, H. Vincent Poor:
A Joint Communication and Federated Learning Framework for Internet of Things Networks. GLOBECOM 2021: 1-6 - [c45]Yuntao Hu, Ming Chen, Mingzhe Chen, Zhaohui Yang, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui:
Energy Minimization for Federated Learning with IRS-Assisted Over-the-Air Computation. ICASSP 2021: 3105-3109 - [c44]Dexin Zhang, Jincheng Dai, Kailin Tan, Kai Niu, Mingzhe Chen, H. Vincent Poor, Shuguang Cui:
Neural Layered Min-Sum Decoding for Protograph LDPC Codes. ICASSP 2021: 4845-4849 - [c43]Zhaohui Yang, Mingzhe Chen, Kai-Kit Wong, Walid Saad, H. Vincent Poor, Shuguang Cui:
Performance Optimization of Distributed Primal-Dual Algorithms over Wireless Networks. ICC 2021: 1-6 - [c42]Mingzhe Chen, Nir Shlezinger, H. Vincent Poor, Yonina C. Eldar, Shuguang Cui:
Joint Resource Management and Model Compression for Wireless Federated Learning. ICC 2021: 1-6 - [c41]Zhenzhen Gong, Qimei Cui, Christina Chaccour, Bo Zhou, Mingzhe Chen, Walid Saad:
Lifelong Learning for Minimizing Age of Information in Internet of Things Networks. ICC 2021: 1-6 - [c40]Yining Wang, Mingzhe Chen, Zhaohui Yang, Walid Saad, Tao Luo, Shuguang Cui, H. Vincent Poor:
Meta-Reinforcement Learning for Immersive Virtual Reality over THz/VLC Wireless Networks. ICC 2021: 1-6 - [c39]Jinyue Cao, Jun Gu, Mingzhe Chen, Andre Rosendo:
Influences of pitch angle for a quadruped robot in bounding gait. ROBIO 2021: 950-955 - [c38]Xuanlin Liu, Sihua Wang, Mingzhe Chen, Changchuan Yin, Shuguang Cui, H. Vincent Poor:
Minimization of Age of Information for Monitoring Realistic Physical Processes in Unmanned Aerial Vehicle Networks. SPAWC 2021: 261-265 - [c37]Chuanhong Liu, Caili Guo, Yang Yang, Mingzhe Chen, H. Vincent Poor, Shuguang Cui:
Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems. WCNC 2021: 1-6 - [i52]Zhaohui Yang, Mingzhe Chen, Kai-Kit Wong, H. Vincent Poor, Shuguang Cui:
Federated Learning for 6G: Applications, Challenges, and Opportunities. CoRR abs/2101.01338 (2021) - [i51]Amin Shahraki, Mahmoud Abbasi, Md. Jalil Piran, Mingzhe Chen, Shuguang Cui:
A Comprehensive Survey on 6G Networks: Applications, Core Services, Enabling Technologies, and Future Challenges. CoRR abs/2101.12475 (2021) - [i50]Tengchan Zeng, Omid Semiari, Mingzhe Chen, Walid Saad, Mehdi Bennis:
Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles. CoRR abs/2102.03401 (2021) - [i49]Jincheng Dai, Kailin Tan, Zhongwei Si, Kai Niu, Mingzhe Chen, H. Vincent Poor, Shuguang Cui:
Learning to Decode Protograph LDPC Codes. CoRR abs/2102.03828 (2021) - [i48]Yining Wang, Mingzhe Chen, Zhaohui Yang, Walid Saad, Tao Luo, Shuguang Cui, H. Vincent Poor:
Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks. CoRR abs/2102.12277 (2021) - [i47]Chuanhong Liu, Caili Guo, Yang Yang, Mingzhe Chen, H. Vincent Poor, Shuguang Cui:
Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems. CoRR abs/2103.03444 (2021) - [i46]Zhenzhen Gong, Qimei Cui, Christina Chaccour, Bo Zhou, Mingzhe Chen, Walid Saad:
Lifelong Learning for Minimizing Age of Information in Internet of Things Networks. CoRR abs/2103.15374 (2021) - [i45]Sihua Wang, Mingzhe Chen, Zhaohui Yang, Changchuan Yin, Walid Saad, Shuguang Cui, H. Vincent Poor:
Reinforcement Learning for Minimizing Age of Information in Real-time Internet of Things Systems with Realistic Physical Dynamics. CoRR abs/2104.01527 (2021) - [i44]Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor:
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges. CoRR abs/2104.02151 (2021) - [i43]Rami Hamdi, Mingzhe Chen, Ahmed Ben Said, Marwa K. Qaraqe, H. Vincent Poor:
Federated Learning over Energy Harvesting Wireless Networks. CoRR abs/2106.08809 (2021) - [i42]Wanpeng Zhang, Xi Xiao, Yao Yao, Mingzhe Chen, Dijun Luo:
MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning. CoRR abs/2108.01295 (2021) - [i41]Yang Yang, Yujie Yang, Mingzhe Chen, Chunyan Feng, Hailun Xia, Shuguang Cui, H. Vincent Poor:
Joint LED Selection and Precoding Optimization for Multiple-User Multiple-Cell VLC Systems. CoRR abs/2108.12748 (2021) - [i40]Xingqin Lin, Mingzhe Chen, Henrik Rydén, Jaeseong Jeong, Heunchul Lee, Mårten Sundberg, Roy Timo, Hazhir Shokri-Razaghi, H. Vincent Poor:
Fueling the Next Quantum Leap in Cellular Networks: Embracing AI in 5G Evolution towards 6G. CoRR abs/2111.10663 (2021) - 2020
- [j16]Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui:
Wireless Communications for Collaborative Federated Learning. IEEE Commun. Mag. 58(12): 48-54 (2020) - [j15]Walid Saad, Mehdi Bennis, Mingzhe Chen:
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems. IEEE Netw. 34(3): 134-142 (2020) - [j14]Mingzhe Chen, Omid Semiari, Walid Saad, Xuanlin Liu, Changchuan Yin:
Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks. IEEE Trans. Wirel. Commun. 19(1): 177-191 (2020) - [j13]Ye Hu, Mingzhe Chen, Walid Saad:
Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach. IEEE Trans. Wirel. Commun. 19(6): 3908-3923 (2020) - [j12]Yining Wang, Mingzhe Chen, Zhaohui Yang, Tao Luo, Walid Saad:
Deep Learning for Optimal Deployment of UAVs With Visible Light Communications. IEEE Trans. Wirel. Commun. 19(11): 7049-7063 (2020) - [c36]Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui:
Resource Allocation for Wireless Communications with Distributed Reconfigurable Intelligent Surfaces. GLOBECOM 2020: 1-6 - [c35]Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui:
Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks. GLOBECOM 2020: 1-6 - [c34]Sihua Wang, Mingzhe Chen, Walid Saad, Changchuan Yin, Shuguang Cui, H. Vincent Poor:
Reinforcement Learning for Minimizing Age of Information under Realistic Physical Dynamics. GLOBECOM 2020: 1-6 - [c33]Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui:
Federated Learning with Quantization Constraints. ICASSP 2020: 8851-8855 - [c32]Zhaohui Yang, Mingzhe Chen, Walid Saad, Mohammad Shikh-Bahaei:
Downlink Sum-Rate Maximization for Rate Splitting Multiple Access (RSMA). ICC 2020: 1-6 - [c31]Zhaohui Yang, Jian-Feng Shi, Zhiyang Li, Mingzhe Chen, Wei Xu, Mohammad Shikh-Bahaei:
Energy Efficient Rate Splitting Multiple Access (RSMA) with Reconfigurable Intelligent Surface. ICC Workshops 2020: 1-6 - [c30]Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui:
Convergence Time Minimization of Federated Learning over Wireless Networks. ICC 2020: 1-6 - [c29]Sihua Wang, Mingzhe Chen, Walid Saad, Changchuan Yin:
Federated Learning for Energy-Efficient Task Computing in Wireless Networks. ICC 2020: 1-6 - [c28]Tengchan Zeng, Omid Semiari, Mohammad Mozaffari, Mingzhe Chen, Walid Saad, Mehdi Bennis:
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms. ICC 2020: 1-6 - [c27]Yuntao Hu, Ming Chen, Zhaohui Yang, Mingzhe Chen, Guangyu Jia:
Optimization of Resource Allocation in Multi-Cell OFDM Systems: A Distributed Reinforcement Learning Approach. PIMRC 2020: 1-6 - [c26]Zhiyu Zhu, Yang Yang, Caili Guo, Mingzhe Chen, Shuguang Cui, H. Vincent Poor:
Power Efficient Deployment of VLC-enabled UAVs. PIMRC 2020: 1-6 - [c25]Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui:
Performance Optimization of Federated Learning over Mobile Wireless Networks. SPAWC 2020: 1-5 - [c24]Binghao Cao, Ming Chen, Zhaohui Yang, Minghui Zhang, Jingwen Zhao, Mingzhe Chen:
Reflecting the Light: Energy Efficient Visible Light Communication with Reconfigurable Intelligent Surface. VTC Fall 2020: 1-5 - [c23]Jingwen Zhao, Ming Chen, Mingzhe Chen, Zhaohui Yang, Yinlu Wang, Binghao Cao, Mohammad Shikh-Bahaei:
Energy Efficient Full-Duplex Communication Systems with Reconfigurable Intelligent Surface. VTC Fall 2020: 1-5 - [c22]Weihang Ding, Zhaohui Yang, Mingzhe Chen, Jiancao Hou, Mohammad Shikh-Bahaei:
Resource Allocation for UAV Assisted Wireless Networks with QoS Constraints. WCNC 2020: 1-7 - [c21]Xuanlin Liu, Mingzhe Chen, Sihua Wang, Walid Saad, Changchuan Yin:
Trajectory Design for Energy Harvesting UAV Networks: A Foraging Approach. WCNC 2020: 1-6 - [i39]Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui:
Convergence Time Optimization for Federated Learning over Wireless Networks. CoRR abs/2001.07845 (2020) - [i38]Xiao Liu, Mingzhe Chen, Yuanwei Liu, Yue Chen, Shuguang Cui, Lajos Hanzo:
Artificial Intelligence Aided Next-Generation Networks Relying on UAVs. CoRR abs/2001.11958 (2020) - [i37]Weihang Ding, Zhaohui Yang, Mingzhe Chen, Jiancao Hou, Mohammad Shikh-Bahaei:
Resource Allocation for UAV Assisted Wireless Networks with QoS Constraints. CoRR abs/2002.03381 (2020) - [i36]Tengchan Zeng, Omid Semiari, Mohammad Mozaffari, Mingzhe Chen, Walid Saad, Mehdi Bennis:
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms. CoRR abs/2002.08196 (2020) - [i35]Linyan Lu, Zhaohui Yang, Mingzhe Chen, Zelin Zang, Mohammad Shikh-Bahaei:
Machine Learning for Predictive Deployment of UAVs with Multiple Access. CoRR abs/2003.02631 (2020) - [i34]Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, Nguyen Hoang Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong:
Distributed and Democratized Learning: Philosophy and Research Challenges. CoRR abs/2003.09301 (2020) - [i33]Sihua Wang, Mingzhe Chen, Changchuan Yin, Walid Saad, Choong Seon Hong, Shuguang Cui, H. Vincent Poor:
Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks. CoRR abs/2003.09375 (2020) - [i32]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:
6G White Paper on Machine Learning in Wireless Communication Networks. CoRR abs/2004.13875 (2020) - [i31]Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui:
Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces. CoRR abs/2005.00269 (2020) - [i30]Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui:
Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks. CoRR abs/2005.12394 (2020) - [i29]Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui:
Wireless Communications for Collaborative Federated Learning in the Internet of Things. CoRR abs/2006.02499 (2020) - [i28]Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui:
UVeQFed: Universal Vector Quantization for Federated Learning. CoRR abs/2006.03262 (2020) - [i27]Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui:
Delay Minimization for Federated Learning Over Wireless Communication Networks. CoRR abs/2007.03462 (2020) - [i26]Sihua Wang, Mingzhe Chen, Xuanlin Liu, Changchuan Yin, Shuguang Cui, H. Vincent Poor:
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks. CoRR abs/2007.10102 (2020) - [i25]Luyao Xu, Ming Chen, Mingzhe Chen, Zhaohui Yang, Christina Chaccour, Walid Saad, Choong Seon Hong:
Joint Location and Power Optimization for THz-enabled UAV Communications. CoRR abs/2011.01065 (2020) - [i24]Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui:
Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks. CoRR abs/2012.03158 (2020) - [i23]Yihan Cang, Ming Chen, Zhaohui Yang, Mingzhe Chen, Chongwen Huang:
Optimal Resource Allocation for Multi-UAV Assisted Visible Light Communication. CoRR abs/2012.13200 (2020)
2010 – 2019
- 2019
- [j11]Mingzhe Chen, Ursula Challita, Walid Saad, Changchuan Yin, Mérouane Debbah:
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial. IEEE Commun. Surv. Tutorials 21(4): 3039-3071 (2019) - [j10]Yang Yang, Mingzhe Chen, Caili Guo, Chunyan Feng, Walid Saad:
Power Efficient Visible Light Communication With Unmanned Aerial Vehicles. IEEE Commun. Lett. 23(7): 1272-1275 (2019) - [j9]Xuanlin Liu, Mingzhe Chen, Changchuan Yin:
Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach. J. Commun. Inf. Networks 4(1): 24-32 (2019) - [j8]Mingzhe Chen, Walid Saad, Changchuan Yin, Mérouane Debbah:
Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach. IEEE Trans. Commun. 67(6): 4267-4280 (2019) - [j7]Mingzhe Chen, Walid Saad, Changchuan Yin:
Echo-Liquid State Deep Learning for 360° Content Transmission and Caching in Wireless VR Networks With Cellular-Connected UAVs. IEEE Trans. Commun. 67(9): 6386-6400 (2019) - [j6]Mingzhe Chen, Walid Saad, Changchuan Yin:
Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks. IEEE Trans. Wirel. Commun. 18(3): 1504-1517 (2019) - [j5]Ursula Challita, Aidin Ferdowsi, Mingzhe Chen, Walid Saad:
Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs. IEEE Wirel. Commun. 26(1): 28-35 (2019) - [c20]Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei:
Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication. GLOBECOM 2019: 1-6 - [c19]Mingzhe Chen, Zhaohui Yang, Walid Saad, Changchuan Yin, H. Vincent Poor, Shuguang Cui:
Performance Optimization of Federated Learning over Wireless Networks. GLOBECOM 2019: 1-6 - [c18]Mingzhe Chen, Omid Semiari, Walid Saad, Xuanlin Liu, Changchuan Yin:
Federated Deep Learning for Immersive Virtual Reality over Wireless Networks. GLOBECOM 2019: 1-6 - [c17]Yining Wang, Mingzhe Chen, Zhaohui Yang, Xue Hao, Tao Luo, Walid Saad:
Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs. GLOBECOM 2019: 1-6 - [c16]Sihua Wang, Mingzhe Chen, Xuanlin Liu, Changchuan Yin:
Task and Resource Allocation in Mobile Edge Computing: An Improved Reinforcement Learning Approach. GLOBECOM Workshops 2019: 1-6 - [c15]Mingzhe Chen, Walid Saad, Changchuan Yin:
Deep Learning for 360° Content Transmission in UAV-Enabled Virtual Reality. ICC 2019: 1-6 - [c14]Mingzhe Chen, Walid Saad, Changchuan Yin:
Liquid State Based Transfer Learning for 360° Image Transmission in Wireless VR Networks. ICC 2019: 1-6 - [c13]Ye Hu, Mingzhe Chen, Walid Saad:
Competitive Market for Joint Access and Backhaul Resource Allocation in Satellite-Drone Networks. NTMS 2019: 1-5 - [i22]Mingzhe Chen, Walid Saad, Changchuan Yin, Mérouane Debbah:
Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach. CoRR abs/1902.05181 (2019) - [i21]Xuanlin Liu, Mingzhe Chen, Changchuan Yin:
Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach. CoRR abs/1902.06610 (2019) - [i20]Walid Saad, Mehdi Bennis, Mingzhe Chen:
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems. CoRR abs/1902.10265 (2019) - [i19]Yang Yang, Mingzhe Chen, Caili Guo, Chunyan Feng, Walid Saad:
Power Efficient Visible Light Communication (VLC) with Unmanned Aerial Vehicles (UAVs). CoRR abs/1905.04200 (2019) - [i18]Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei:
Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication. CoRR abs/1906.04092 (2019) - [i17]Xuanlin Liu, Mingzhe Chen, Changchuan Yin, Walid Saad:
Analysis of Memory Capacity for Deep Echo State Networks. CoRR abs/1908.07063 (2019) - [i16]Ye Hu, Mingzhe Chen, Walid Saad:
Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach. CoRR abs/1908.11038 (2019) - [i15]Yining Wang, Mingzhe Chen, Zhaohui Yang, Xue Hao, Tao Luo, Walid Saad:
Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs. CoRR abs/1909.07554 (2019) - [i14]Mingzhe Chen, Zhaohui Yang, Walid Saad, Changchuan Yin, H. Vincent Poor, Shuguang Cui:
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks. CoRR abs/1909.07972 (2019) - [i13]Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei:
Energy Efficient Federated Learning Over Wireless Communication Networks. CoRR abs/1911.02417 (2019) - [i12]Yining Wang, Mingzhe Chen, Zhaohui Yang, Tao Luo, Walid Saad:
Deep Learning for Optimal Deployment of UAVs with Visible Light Communications. CoRR abs/1912.00752 (2019) - 2018
- [j4]Mingzhe Chen, Walid Saad, Changchuan Yin:
Virtual Reality Over Wireless Networks: Quality-of-Service Model and Learning-Based Resource Management. IEEE Trans. Commun. 66(11): 5621-5635 (2018) - [c12]Mingzhe Chen, Walid Saad, Changchuan Yin:
Echo State Learning for Wireless Virtual Reality Resource Allocation in UAV-Enabled LTE-U Networks. ICC 2018: 1-6 - [c11]Xuanlin Liu, Mingzhe Chen, Changchuan Yin:
Optimized Trajectory Design in UAV Based Cellular Networks: A Double Q-Learning Approach. ICCS 2018: 13-18 - [c10]Xuanlin Liu, Mingzhe Chen, Changchuan Yin, Walid Saad:
Analysis of Memory Capacity for Deep Echo State Networks. ICMLA 2018: 443-448 - [c9]Xiangqun Yang, Chunyu Pan, Mingzhe Chen, Changchuan Yin:
Distributed Resource Allocation for Mobile Users in Cache-Enabled Software Defined Cellular Networks. WCSP 2018: 1-6 - [i11]Mingzhe Chen, Walid Saad, Changchuan Yin:
Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks. CoRR abs/1801.09339 (2018) - [i10]Mingzhe Chen, Walid Saad, Changchuan Yin:
Echo-Liquid State Deep Learning for 360° Content Transmission and Caching in Wireless VR Networks with Cellular-Connected UAVs. CoRR abs/1804.03284 (2018) - [i9]Ursula Challita, Aidin Ferdowsi, Mingzhe Chen, Walid Saad:
Artificial Intelligence for Wireless Connectivity and Security of Cellular-Connected UAVs. CoRR abs/1804.05348 (2018) - [i8]Mingzhe Chen, Omid Semiari, Walid Saad, Xuanlin Liu, Changchuan Yin:
Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks. CoRR abs/1812.01202 (2018) - 2017
- [j3]Mingzhe Chen, Mohammad Mozaffari, Walid Saad, Changchuan Yin, Mérouane Debbah, Choong Seon Hong:
Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience. IEEE J. Sel. Areas Commun. 35(5): 1046-1061 (2017) - [j2]Mingzhe Chen, Walid Saad, Changchuan Yin:
Echo State Networks for Self-Organizing Resource Allocation in LTE-U With Uplink-Downlink Decoupling. IEEE Trans. Wirel. Commun. 16(1): 3-16 (2017) - [j1]Mingzhe Chen, Walid Saad, Changchuan Yin, Mérouane Debbah:
Echo State Networks for Proactive Caching in Cloud-Based Radio Access Networks With Mobile Users. IEEE Trans. Wirel. Commun. 16(6): 3520-3535 (2017) - [c8]Mingzhe Chen, Walid Saad, Changchuan Yin, Mérouane Debbah:
Echo state transfer learning for data correlation aware resource allocation in wireless virtual reality. ACSSC 2017: 1852-1856 - [c7]Mingzhe Chen, Walid Saad, Changchuan Yin:
Resource Management for Wireless Virtual Reality: Machine Learning Meets Multi-Attribute Utility. GLOBECOM 2017: 1-7 - [c6]Mingzhe Chen, Walid Saad, Changchuan Yin:
Liquid State Machine Learning for Resource Allocation in a Network of Cache-Enabled LTE-U UAVs. GLOBECOM 2017: 1-6 - [c5]Tianmu Gao, Mingzhe Chen, Hanzhou Gu, Changchuan Yin:
Reinforcement learning based resource allocation in cache-enabled small cell networks with mobile users. ICCC 2017: 1-6 - [i7]Mingzhe Chen, Walid Saad, Changchuan Yin:
Virtual Reality over Wireless Networks: Quality-of-Service Model and Learning-Based Resource Management. CoRR abs/1703.04209 (2017) - [i6]Mingzhe Chen, Walid Saad, Changchuan Yin:
Echo State Learning for Wireless Virtual Reality Resource Allocation in UAV-enabled LTE-U Networks. CoRR abs/1708.00921 (2017) - [i5]Mingzhe Chen, Ursula Challita, Walid Saad, Changchuan Yin, Mérouane Debbah:
Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks. CoRR abs/1710.02913 (2017) - [i4]Mingzhe Chen, Walid Saad, Changchuan Yin, Mérouane Debbah:
Echo State Transfer Learning for Data Correlation Aware Resource Allocation in Wireless Virtual Reality. CoRR abs/1711.09173 (2017) - 2016
- [c4]Mingzhe Chen, Walid Saad, Changchuan Yin, Mérouane Debbah:
Echo State Networks for Proactive Caching and Content Prediction in Cloud Radio Access Networks. GLOBECOM Workshops 2016: 1-6 - [c3]Mingzhe Chen, Walid Saad, Changchuan Yin:
Optimized uplink-downlink decoupling in LTE-U networks: An echo state approach. ICC 2016: 1-6 - [c2]Mingzhe Chen, Ye Hu, Changchuan Yin:
Tri-Sectoring and Power Allocation of Macro Base Stations in Heterogeneous Cellular Networks with Matern Hard-Core Processes. VTC Spring 2016: 1-5 - [i3]Mingzhe Chen, Walid Saad, Changchuan Yin:
Echo State Networks for Self-Organizing Resource Allocation in LTE-U with Uplink-Downlink Decoupling. CoRR abs/1601.06895 (2016) - [i2]Mingzhe Chen, Walid Saad, Changchuan Yin, Mérouane Debbah:
Echo State Networks for Proactive Caching in Cloud-Based Radio Access Networks with Mobile Users. CoRR abs/1607.00773 (2016) - [i1]Mingzhe Chen, Mohammad Mozaffari, Walid Saad, Changchuan Yin, Mérouane Debbah, Choong Seon Hong:
Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience. CoRR abs/1610.01585 (2016) - 2015
- [c1]Mingzhe Chen, Fangfang Liu, Zhimin Zeng:
Power control algorithm based on the interference statistic properties in heterogeneous networks. PIMRC 2015: 1137-1141
Coauthor Index
[b2] [j63] [j58] [i72] [j54] [j44] [j41] [j40] [j39] [j37] [j36] [j35] [c58] [i57] [i55] [i54] [j29] [j28] [j27] [j26] [j22] [j21] [j19] [j18] [j17] [c48] [c46] [c45] [c44] [c43] [c42] [c40] [c38] [c37] [i52] [i51] [i49] [i48] [i47] [i45] [i41] [j16] [c36] [c35] [c34] [c33] [c30] [c26] [c25] [i39] [i38] [i33] [i31] [i30] [i29] [i28] [i27] [i26] [i24] [c19] [i14]
[j72] [j59] [i78] [j52] [j46] [j45] [j44] [j43] [j41] [j40] [j39] [j37] [j35] [c60] [c57] [c54] [i57] [i56] [j31] [j29] [j28] [j27] [j26] [j25] [j24] [j22] [j21] [j19] [j17] [c51] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c40] [c38] [c37] [i52] [i49] [i48] [i47] [i45] [i44] [i43] [i41] [i40] [j16] [c36] [c35] [c34] [c33] [c30] [c26] [c25] [i39] [i33] [i31] [i30] [i29] [i28] [i27] [i26] [i24] [c19] [i14]
[j60] [j58] [j52] [j49] [j43] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [c59] [c58] [i58] [i57] [i55] [b1] [j33] [j30] [j28] [j26] [j25] [j24] [j23] [j21] [j20] [j19] [c50] [c48] [c43] [c41] [c40] [i50] [i48] [i46] [i45] [i44] [j16] [j15] [j14] [j13] [j12] [c36] [c35] [c34] [c32] [c30] [c29] [c28] [c25] [c21] [i39] [i36] [i34] [i33] [i32] [i31] [i30] [i29] [i27] [i25] [i24] [j11] [j10] [j8] [j7] [j6] [j5] [c20] [c19] [c18] [c17] [c15] [c14] [c13] [i22] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [j4] [c12] [c10] [i11] [i10] [i9] [i8] [j3] [j2] [j1] [c8] [c7] [c6] [i7] [i6] [i5] [i4] [c4] [c3] [i3] [i2] [i1]
[j72] [j71] [j67] [j64] [j59] [c84] [c83] [c82] [c77] [c75] [c74] [c72] [i81] [i79] [i78] [i75] [i70] [i69] [j53] [j48] [c69] [c67] [c61] [i67] [i66] [i63] [i60] [j40] [j38] [j37] [j35] [c57] [c52] [i56] [j30] [j23] [j21] [j20] [c47] [c46] [c45] [c43] [c40] [i52] [i48] [i45] [j12] [c36] [c32] [c31] [c27] [c24] [c23] [c22] [i37] [i35] [i31] [i27] [i25] [i23] [c20] [c19] [c17] [i18] [i15] [i14] [i13] [i12]
[j58] [j56] [c80] [i80] [c71] [c70] [c68] [i64] [j40] [c60] [c58] [i55] [j29] [j28] [j21] [c38] [i45] [j14] [c34] [c29] [c21] [i33] [i26] [j11] [j9] [j8] [j7] [j6] [c19] [c18] [c16] [c15] [c14] [i22] [i21] [i17] [i14] [j4] [c12] [c11] [c10] [c9] [i11] [i10] [i8] [j3] [j2] [j1] [c8] [c7] [c6] [c5] [i7] [i6] [i5] [i4] [c4] [c3] [c2] [i3] [i2] [i1]
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