Ming Ding

According to our database, Ming Ding authored at least 293 papers between 2006 and 2024.

Collaborative distances:

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

2024

Privacy-Preserving Deep Learning Based Record Linkage.

Thilina Ranbaduge, Dinusha Vatsalan, Ming Ding

IEEE Trans. Knowl. Data Eng., November, 2024

Decentralized Privacy Preservation for Critical Connections in Graphs.

Conggai Li, Wei Ni, Ming Ding, Youyang Qu, Jianjun Chen, David B. Smith, Wenjie Zhang, Thierry Rakotoarivelo

IEEE Trans. Knowl. Data Eng., November, 2024

Toward Efficient and Secure Object Detection With Sparse Federated Training Over Internet of Vehicles.

Yuwen Qian, Luping Rao, Chuan Ma, Kang Wei, Ming Ding, Long Shi

IEEE Trans. Intell. Transp. Syst., October, 2024

Communication-Efficient Model Aggregation With Layer Divergence Feedback in Federated Learning.

Liwei Wang, Jun Li, Wen Chen, Qingqing Wu, Ming Ding

IEEE Commun. Lett., October, 2024

Analysis and Optimization of Wireless Federated Learning With Data Heterogeneity.

Xuefeng Han, Jun Li, Wen Chen, Zhen Mei, Kang Wei, Ming Ding, H. Vincent Poor

IEEE Trans. Wirel. Commun., July, 2024

Deep Reinforcement Learning for Online Resource Allocation in Network Slicing.

Yue Cai, Peng Cheng, Zhuo Chen, Ming Ding, Branka Vucetic, Yonghui Li

IEEE Trans. Mob. Comput., June, 2024

PPFed: A Privacy-Preserving and Personalized Federated Learning Framework.

Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou

IEEE Internet Things J., June, 2024

Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems.

Shiying Zhang, Jun Li, Long Shi, Ming Ding, Dinh C. Nguyen, Wuzheng Tan, Jian Weng, Zhu Han

IEEE Trans. Intell. Transp. Syst., May, 2024

Reconfigurable-Intelligent-Surface-Aided Space-Shift Keying With Imperfect CSI.

Xusheng Zhu, Wen Chen, Qingqing Wu, Zhendong Li, Jun Li, Shunqing Zhang, Ming Ding

IEEE Internet Things J., April, 2024

IoTFuzz: Automated Discovery of Violations in Smart Homes With Real Environment.

Xinbo Ban, Ming Ding, Shigang Liu, Chao Chen, Jun Zhang

IEEE Internet Things J., March, 2024

Learn to Unlearn: Insights Into Machine Unlearning.

Youyang Qu, Xin Yuan, Ming Ding, Wei Ni, Thierry Rakotoarivelo, David B. Smith

Computer, March, 2024

FedHelo: Hierarchical Federated Learning With Loss-Based-Heterogeneity in Wireless Networks.

Yuchuan Ye, Youjia Chen, Junnan Yang, Ming Ding, Peng Cheng, Haifeng Zheng

IEEE Trans. Netw. Sci. Eng., 2024

A Data-Driven Base Station Sleeping Strategy Based on Traffic Prediction.

Jiansheng Lin, Youjia Chen, Haifeng Zheng, Ming Ding, Peng Cheng, Lajos Hanzo

IEEE Trans. Netw. Sci. Eng., 2024

Clustering-Based Contrastive Learning for Fault Diagnosis With Few Labeled Samples.

Yajiao Dai, Zhen Mei, Jun Li, Zengxiang Li, Kang Wei, Ming Ding, Sheng Guo, Wen Chen

IEEE Trans. Instrum. Meas., 2024

Enhancing Resilience in Website Fingerprinting: Novel Adversary Strategies for Noisy Traffic Environments.

Yuwen Qian, Guodong Huang, Chuan Ma, Ming Ding, Long Yuan, Zi Chen, Kai Wang

IEEE Trans. Inf. Forensics Secur., 2024

Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor

IEEE Trans. Dependable Secur. Comput., 2024

Pareto-Optimal Multiagent Cooperative Caching Relying on Multipolicy Reinforcement Learning.

Boyang Guo, Youjia Chen, Peng Cheng, Ming Ding, Jinsong Hu, Lajos Hanzo

IEEE Internet Things J., 2024

Proactive image manipulation detection via deep semi-fragile watermark.

Yuan Zhao, Bo Liu, Tianqing Zhu, Ming Ding, Xin Yu, Wanlei Zhou

Neurocomputing, 2024

MeST-Former: Motion-enhanced Spatiotemporal Transformer for generalizable Deepfake detection.

Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu

Neurocomputing, 2024

From 5G to 6G: A Survey on Security, Privacy, and Standardization Pathways.

Mengmeng Yang, Youyang Qu, Thilina Ranbaduge, Chandra Thapa, Nazatul Sultan, Ming Ding, Hajime Suzuki, Wei Ni, Sharif Abuadbba, David B. Smith, Paul Tyler, Josef Pieprzyk, Thierry Rakotoarivelo, Xinlong Guan, Sirine Mrabet

CoRR, 2024

Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey.

Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Xu Guo, Dayong Ye, Wanlei Zhou, Philip S. Yu

CoRR, 2024

Memorization in deep learning: A survey.

Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Ming Ding, Chao Chen, Kok-Leong Ong, Jun Zhang, Yang Xiang

CoRR, 2024

Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization.

Xiumei Deng, Jun Li, Kang Wei, Long Shi, Zeihui Xiong, Ming Ding, Wen Chen, Shi Jin, H. Vincent Poor

CoRR, 2024

Trustworthy DNN Partition for Blockchain-enabled Digital Twin in Wireless IIoT Networks.

Xiumei Deng, Jun Li, Long Shi, Kang Wei, Ming Ding, Yumeng Shao, Wen Chen, Shi Jin

CoRR, 2024

EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection.

Yuwen Qian, Shuchi Wu, Kang Wei, Ming Ding, Di Xiao, Tao Xiang, Chuan Ma, Song Guo

CoRR, 2024

Industrial Metaverse: Enabling Technologies, Open Problems, and Future Trends.

Shiying Zhang, Jun Li, Long Shi, Ming Ding, Dinh C. Nguyen, Wen Chen, Zhu Han

CoRR, 2024

Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations.

Yumeng Shao, Jun Li, Long Shi, Kang Wei, Ming Ding, Qianmu Li, Zengxiang Li, Wen Chen, Shi Jin

CoRR, 2024

Privacy at a Price: Exploring its Dual Impact on AI Fairness.

Mengmeng Yang, Ming Ding, Youyang Qu, Wei Ni, David B. Smith, Thierry Rakotoarivelo

CoRR, 2024

The Frontier of Data Erasure: Machine Unlearning for Large Language Models.

Youyang Qu, Ming Ding, Nan Sun, Kanchana Thilakarathna, Tianqing Zhu, Dusit Niyato

CoRR, 2024

Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization.

Xuefeng Han, Wen Chen, Jun Li, Ming Ding, Qingqing Wu, Kang Wei, Xiumei Deng, Zhen Mei

CoRR, 2024

Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy.

Songjie Xie, Youlong Wu, Jiaxuan Li, Ming Ding, Khaled B. Letaief

CoRR, 2024

Private Knowledge Sharing in Distributed Learning: A Survey.

Yasas Supeksala, Dinh C. Nguyen, Ming Ding, Thilina Ranbaduge, Calson Chua, Jun Zhang, Jun Li, H. Vincent Poor

CoRR, 2024

Gradient sparsification for efficient wireless federated learning with differential privacy.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Feng Shu, Haitao Zhao, Wen Chen, Hongbo Zhu

Sci. China Inf. Sci., 2024

How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers.

Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou

Proceedings of the 33rd USENIX Security Symposium, 2024

Wireless Hierarchical Federated Aggregation Weights Design with Loss-Based-Heterogeneity.

Yuchuan Ye, Youjia Chen, Junnan Yang, Ming Ding, Peng Cheng, Jinsong Hu, Haifeng Zheng

Proceedings of the IEEE INFOCOM 2024, 2024

When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks.

Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards Efficient Backdoor Attacks Against Federated Self-supervised Learning as a Service Through Intra-Union Aggregation.

Shuchi Wu, Chuan Ma, Kang Wei, Ming Ding, Jiyun Yang, Yuwen Qian

Proceedings of the Service Science - CCF 17th International Conference, 2024

Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy (Extended abstract).

Chuan Ma, Long Yuan, Li Han, Ming Ding, Raghav Bhaskar, Jun Li

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-relational Extraction.

Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Di Xiao, Tao Xiang

Proceedings of the Computer Vision - ECCV 2024, 2024

Detection of Diffusion Model-Generated Faces by Assessing Smoothness and Noise Tolerance.

Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2024

2023

ClearSpeech: Improving Voice Quality of Earbuds Using Both In-Ear and Out-Ear Microphones.

Dong Ma, Ting Dang, Ming Ding, Rajesh Balan

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

Analysis on Energy Efficiency of Large Scale Intelligent Reflecting Surface-Enabled Networks.

Youjia Chen, Baoxian Zhang, Jinsong Hu, David López-Pérez, Ming Ding

IEEE Commun. Lett., October, 2023

Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning.

Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor

Proc. IEEE, September, 2023

Robust Information Bottleneck for Task-Oriented Communication With Digital Modulation.

Songjie Xie, Shuai Ma, Ming Ding, Yuanming Shi, MingJian Tang, Youlong Wu

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

Deep Reinforcement Learning for Online Resource Allocation in IoT Networks: Technology, Development, and Future Challenges.

Peng Cheng, Youjia Chen, Ming Ding, Zhuo Chen, Sige Liu, Yi-Ping Phoebe Chen

IEEE Commun. Mag., June, 2023

Blockchain Assisted Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Client Scheduling.

Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor

IEEE Trans. Wirel. Commun., May, 2023

Cooperative Task Offloading and Block Mining in Blockchain-Based Edge Computing With Multi-Agent Deep Reinforcement Learning.

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor

IEEE Trans. Mob. Comput., April, 2023

Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy.

Chuan Ma, Long Yuan, Li Han, Ming Ding, Raghav Bhaskar, Jun Li

IEEE Trans. Knowl. Data Eng., April, 2023

Low-Latency Federated Learning With DNN Partition in Distributed Industrial IoT Networks.

Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen

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

Downlink Performance Analysis of Intelligent Reflecting Surface-Enabled Networks.

Youjia Chen, Baoxian Zhang, Ming Ding, David López-Pérez, Mahbub Hassan, Mérouane Debbah, Zhizhang (David) Chen

IEEE Trans. Veh. Technol., February, 2023

Face image de-identification by feature space adversarial perturbation.

Hanyu Xue, Bo Liu, Xin Yuan, Ming Ding, Tianqing Zhu

Concurr. Comput. Pract. Exp., February, 2023

Decentralized Federated Reinforcement Learning for User-Centric Dynamic TFDD Control.

Ziyan Yin, Zhe Wang, Jun Li, Ming Ding, Wen Chen, Shi Jin

IEEE J. Sel. Top. Signal Process., January, 2023

Federated Meta-Learning for Few-Shot Fault Diagnosis With Representation Encoding.

Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo

IEEE Trans. Instrum. Meas., 2023

Personalized Federated Learning With Differential Privacy and Convergence Guarantee.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Wen Chen, Jun Wu, Meixia Tao, H. Vincent Poor

IEEE Trans. Inf. Forensics Secur., 2023

Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning.

Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H. Vincent Poor

IEEE Trans. Inf. Forensics Secur., 2023

Label-Only Membership Inference Attacks and Defenses in Semantic Segmentation Models.

Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou

IEEE Trans. Dependable Secur. Comput., 2023

RDP-GAN: A Rényi-Differential Privacy Based Generative Adversarial Network.

Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor

IEEE Trans. Dependable Secur. Comput., 2023

Universal optimality and robust utility bounds for metric differential privacy.

Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Ming Ding

J. Comput. Secur., 2023

Federated Learning for Smart Healthcare: A Survey.

Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia A. Dobre, Won-Joo Hwang

ACM Comput. Surv., 2023

Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction.

Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Tao Xiang

CoRR, 2023

FD-MIA: Efficient Attacks on Fairness-enhanced Models.

Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou

CoRR, 2023

G²uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering.

Hao Yu, Chuan Ma, Meng Liu, Xinwang Liu, Zhe Liu, Ming Ding

CoRR, 2023

Learn to Unlearn: A Survey on Machine Unlearning.

Youyang Qu, Xin Yuan, Ming Ding, Wei Ni, Thierry Rakotoarivelo, David B. Smith

CoRR, 2023

Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Haitao Zhao, Wen Chen, Hongbo Zhu

CoRR, 2023

Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives.

Nan Sun, Ming Ding, Jiaojiao Jiang, Weikang Xu, Xiaoxing Mo, Yonghang Tai, Jun Zhang

IEEE Commun. Surv. Tutorials, 2023

Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic.

Guodong Huang, Chuan Ma, Ming Ding, Yuwen Qian, Chunpeng Ge, Liming Fang, Zhe Liu

Proceedings of the ACM Web Conference 2023, 2023

Proactive Deepfake Defence via Identity Watermarking.

Yuan Zhao, Bo Liu, Ming Ding, Baoping Liu, Tianqing Zhu, Xin Yu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

TI²Net: Temporal Identity Inconsistency Network for Deepfake Detection.

Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu, Xin Yu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

A Selection Model of Privacy Patterns.

Su Yen Chia, Xiwei Xu, Ming Ding, David B. Smith, Hye-Young Paik, Liming Zhu

Proceedings of the 20th IEEE International Conference on Software Architecture, 2023

Personalized Federated Deep Reinforcement Learning-based Trajectory Optimization for Multi-UAV Assisted Edge Computing.

Zhengrong Song, Chuan Ma, Ming Ding, Howard H. Yang, Yuwen Qian, Xiangwei Zhou

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning.

Kecheng Fan, Wen Chen, Jun Li, Xiumei Deng, Xuefeng Han, Ming Ding

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Sparse Federated Training of Object Detection in the Internet of Vehicles.

Luping Rao, Chuan Ma, Ming Ding, Yuwen Qian, Lu Zhou, Zhe Liu

Proceedings of the IEEE International Conference on Communications, 2023

Multi-Server Secure Aggregation with Unreliable Communication Links.

Kai Liang, Songze Li, Ming Ding, Youlong Wu

Proceedings of the IEEE Global Communications Conference, 2023

Improving the Utility of Differentially Private SGD by Employing Wavelet Transforms.

Kanishka Ranaweera, David B. Smith, Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Thierry Rakotoarivelo, Aruna Seneviratne

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Client Scheduling in Wireless Federated Learning Based on Channel and Learning Qualities.

Jichao Leng, Zihuai Lin, Ming Ding, Peng Wang, David B. Smith, Branka Vucetic

IEEE Wirel. Commun. Lett., 2022

On the Theoretical Analysis of Network-Wide Massive MIMO Performance and Pilot Contamination.

Youjia Chen, Ming Ding, David López-Pérez, Xuefeng Yao, Zihuai Lin, Guoqiang Mao

IEEE Trans. Wirel. Commun., 2022

Path Planning for the Dynamic UAV-Aided Wireless Systems Using Monte Carlo Tree Search.

Yuwen Qian, Kexin Sheng, Chuan Ma, Jun Li, Ming Ding, Mahbub Hassan

IEEE Trans. Veh. Technol., 2022

Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation.

Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor

IEEE Trans. Parallel Distributed Syst., 2022

User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor

IEEE Trans. Mob. Comput., 2022

Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Task Scheduling.

Shunfeng Chu, Jun Li, Jianxin Wang, Zhe Wang, Ming Ding, Yijin Zhang, Yuwen Qian, Wen Chen

IEEE Trans. Cogn. Commun. Netw., 2022

Intelligent Blockchain-Based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges.

Dinh C. Nguyen, Van-Dinh Nguyen, Ming Ding, Symeon Chatzinotas, Pubudu N. Pathirana, Aruna Seneviratne, Octavia A. Dobre, Albert Y. Zomaya

IEEE Netw., 2022

Low-Latency Federated Learning Over Wireless Channels With Differential Privacy.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor

IEEE J. Sel. Areas Commun., 2022

Federated Learning for COVID-19 Detection With Generative Adversarial Networks in Edge Cloud Computing.

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Albert Y. Zomaya

IEEE Internet Things J., 2022

6G Internet of Things: A Comprehensive Survey.

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, Octavia A. Dobre, H. Vincent Poor

IEEE Internet Things J., 2022

Joint Front-Edge-Cloud IoVT Analytics: Resource-Effective Design and Scheduling.

Youjia Chen, Tiesong Zhao, Peng Cheng, Ming Ding, Chang Wen Chen

IEEE Internet Things J., 2022

IdentityDP: Differential private identification protection for face images.

Yunqian Wen, Bo Liu, Ming Ding, Rong Xie, Li Song

Neurocomputing, 2022

When Machine Learning Meets Privacy: A Survey and Outlook.

Bo Liu, Ming Ding, Sina Shaham, Wenny Rahayu, Farhad Farokhi, Zihuai Lin

ACM Comput. Surv., 2022

Differentially Private Vertical Federated Learning.

Thilina Ranbaduge, Ming Ding

CoRR, 2022

How Does a Deep Learning Model Architecture Impact Its Privacy?

Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou

CoRR, 2022

5G-Enabled Pseudonymity for Cooperative Intelligent Transportation System.

Nardine Basta, Ming Ding, Muhammad Ikram, Mohamed Ali Kâafar

CoRR, 2022

Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning.

Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor

CoRR, 2022

Vertical Federated Learning: Challenges, Methodologies and Experiments.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Sha Wei, Fan Wu, Guihai Chen, Thilina Ranbaduge

CoRR, 2022

Private-encoder: Enforcing privacy in latent space for human face images.

Yuan Zhao, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou

Concurr. Comput. Pract. Exp., 2022

When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm.

Chuan Ma, Jun Li, Long Shi, Ming Ding, Taotao Wang, Zhu Han, H. Vincent Poor

IEEE Comput. Intell. Mag., 2022

A Survey on IoT Vulnerability Discovery.

Xinbo Ban, Ming Ding, Shigang Liu, Chao Chen, Jun Zhang

Proceedings of the Network and System Security - 16th International Conference, 2022

CluFL: Cluster-driven Weighted FL Model Aggregation Strategy.

Hanchi Shen, Jun Li, Kang Wei, Pengcheng Xia, Sirui Tian, Ming Ding, Zengxiang Li

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

2021

Federated Learning for Industrial Internet of Things in Future Industries.

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor

IEEE Wirel. Commun., 2021

Elevation-angle based two-ray path loss model for Air-to-Ground wireless channels.

Nirmani Hewa Ranchagoda, Kandeepan Sithamparanathan, Ming Ding, Akram Al-Hourani, Karina Mabell Gomez

Veh. Commun., 2021

Performance Analysis of Ambient Backscatter Systems With LDPC-Coded Source Signals.

Yunkai Hu, Peng Wang, Zihuai Lin, Ming Ding, Ying-Chang Liang

IEEE Trans. Veh. Technol., 2021

Task Offloading for Large-Scale Asynchronous Mobile Edge Computing: An Index Policy Approach.

Yizhen Xu, Peng Cheng, Zhuo Chen, Ming Ding, Yonghui Li, Branka Vucetic

IEEE Trans. Signal Process., 2021

Secure Computation Offloading in Blockchain Based IoT Networks With Deep Reinforcement Learning.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

IEEE Trans. Netw. Sci. Eng., 2021

Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model.

Sina Shaham, Ming Ding, Bo Liu, Shuping Dang, Zihuai Lin, Jun Li

IEEE Trans. Mob. Comput., 2021

Ultra-Dense Networks: A Holistic Analysis of Multi-Piece Path Loss, Antenna Heights, Finite Users and BS Idle Modes.

Ming Ding, David López-Pérez, Youjia Chen, Guoqiang Mao, Zihuai Lin, Albert Y. Zomaya

IEEE Trans. Mob. Comput., 2021

Privacy Preserving Location Data Publishing: A Machine Learning Approach.

Sina Shaham, Ming Ding, Bo Liu, Shuping Dang, Zihuai Lin, Jun Li

IEEE Trans. Knowl. Data Eng., 2021

GAN-Based Differential Private Image Privacy Protection Framework for the Internet of Multimedia Things.

Jinao Yu, Hanyu Xue, Bo Liu, Yu Wang, Shibing Zhu, Ming Ding

Sensors, 2021

Deep Q-Learning for Two-Hop Communications of Drone Base Stations.

Azade Fotouhi, Ming Ding, Mahbub Hassan

Sensors, 2021

Performance optimization of UAV-based IoT communications using a novel constrained gravitational search algorithm.

Sepehr Ebrahimi Mood, Ming Ding, Zihuai Lin, Mohammad Masoud Javidi

Neural Comput. Appl., 2021

Negative-ResNet: noisy ambulatory electrocardiogram signal classification scheme.

Zijiao Chen, Zihuai Lin, Peng Wang, Ming Ding

Neural Comput. Appl., 2021

DroneCells: Improving spectral efficiency using drone-mounted flying base stations.

Azade Fotouhi, Ming Ding, Mahbub Hassan

J. Netw. Comput. Appl., 2021

BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

IEEE Internet Things J., 2021

Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges.

Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham, Pubudu N. Pathirana, Long Bao Le, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor

IEEE Internet Things J., 2021

Federated Learning With Unreliable Clients: Performance Analysis and Mechanism Design.

Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor

IEEE Internet Things J., 2021

Constrained Reinforcement Learning for Resource Allocation in Network Slicing.

Yizhen Xu, Zhengyang Zhao, Peng Cheng, Zhuo Chen, Ming Ding, Branka Vucetic, Yonghui Li

IEEE Commun. Lett., 2021

Performance Analysis of Reconfigurable Intelligent Surface Assisted Wireless System With Low-Density Parity-Check Code.

Yunkai Hu, Peng Wang, Zihuai Lin, Ming Ding

IEEE Commun. Lett., 2021

Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Task Scheduling.

Shunfeng Chu, Jun Li, Jianxin Wang, Zhe Wang, Ming Ding, Yijin Zang, Yuwen Qian, Wen Chen

CoRR, 2021

On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels.

Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor

CoRR, 2021

Realistic Differentially-Private Transmission Power Flow Data Release.

David B. Smith, Frederik Geth, Elliott Vercoe, Andrew Feutrill, Ming Ding, Jonathan Chan, James Foster, Thierry Rakotoarivelo

CoRR, 2021

DP-Image: Differential Privacy for Image Data in Feature Space.

Bo Liu, Ming Ding, Hanyu Xue, Tianqing Zhu, Dayong Ye, Li Song, Wanlei Zhou

CoRR, 2021

Federated Learning for Internet of Things: A Comprehensive Survey.

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor

IEEE Commun. Surv. Tutorials, 2021

Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective.

Dinh C. Nguyen, Peng Cheng, Ming Ding, David López-Pérez, Pubudu N. Pathirana, Jun Li, Aruna Seneviratne, Yonghui Li, H. Vincent Poor

IEEE Commun. Surv. Tutorials, 2021

Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey.

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne

IEEE Access, 2021

Performance Analysis of Wireless Networks with Intelligent Reflecting Surfaces.

Youjia Chen, Baoxian Zhang, Ming Ding, David López-Pérez, Haifeng Zheng

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

A Hybrid Spatiotemporal Attack in Continuous LBS Queries.

Yongjie Zhan, Le Li, Yuwen Qian, Chuan Ma, Ming Ding, Bo Liu

Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

Mobility Prediction-Based Wireless Edge Caching Using Deep Reinforcement Learning.

Yuekai Cai, Youjia Chen, Ming Ding, Peng Cheng, Jun Li

Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

Utility Optimization for Blockchain Empowered Edge Computing with Deep Reinforcement Learning.

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor

Proceedings of the ICC 2021, 2021

A Cooperative Architecture of Data Offloading and Sharing for Smart Healthcare with Blockchain.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2021

TAESim: A Testbed for IoT Security Analysis of Trigger-Action Environment.

Xinbo Ban, Ming Ding, Shigang Liu, Chao Chen, Jun Zhang, Yang Xiang

Proceedings of the Computer Security. ESORICS 2021 International Workshops, 2021

Deep Reinforcement Learning for Collaborative Offloading in Heterogeneous Edge Networks.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

Beam Allocation for Millimeter-Wave MIMO Tracking Systems.

Deyou Zhang, Ang Li, He Chen, Ning Wei, Ming Ding, Yonghui Li, Branka Vucetic

IEEE Trans. Veh. Technol., 2020

Performance Analysis of Terahertz Unmanned Aerial Vehicular Networks.

Xufang Wang, Peng Wang, Ming Ding, Zihuai Lin, Feng Lin, Branka Vucetic, Lajos Hanzo

IEEE Trans. Veh. Technol., 2020

Path Planning for UAV-Mounted Mobile Edge Computing With Deep Reinforcement Learning.

Qian Liu, Long Shi, Linlin Sun, Jun Li, Ming Ding, Feng Shu

IEEE Trans. Veh. Technol., 2020

Analyzing the Impact of Molecular Re-Radiation on the MIMO Capacity in High-Frequency Bands.

Sayed Amir Hoseini, Ming Ding, Mahbub Hassan, Youjia Chen

IEEE Trans. Veh. Technol., 2020

Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

IEEE Trans. Netw. Serv. Manag., 2020

Federated Learning With Differential Privacy: Algorithms and Performance Analysis.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor

IEEE Trans. Inf. Forensics Secur., 2020

Uplink NOMA for Cellular-Connected UAV: Impact of UAV Trajectories and Altitude.

Nilupuli Senadhira, Salman Durrani, Xiangyun Zhou, Nan Yang, Ming Ding

IEEE Trans. Commun., 2020

On Safeguarding Privacy and Security in the Framework of Federated Learning.

Chuan Ma, Jun Li, Ming Ding, Howard H. Yang, Feng Shu, Tony Q. S. Quek, H. Vincent Poor

IEEE Netw., 2020

Differentially Private Release of Datasets using Gaussian Copula.

Hassan Jameel Asghar, Ming Ding, Thierry Rakotoarivelo, Sirine Mrabet, Dali Kaafar

J. Priv. Confidentiality, 2020

Blockchain for 5G and beyond networks: A state of the art survey.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

J. Netw. Comput. Appl., 2020

Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients.

Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han, H. Vincent Poor

CoRR, 2020

On Dynamic Time Division Duplex Transmissions for Small Cell Networks.

Ming Ding, David López-Pérez, Thanos Vasilakos, Wen Chen

CoRR, 2020

Wireless AI: Enabling an AI-Governed Data Life Cycle.

Dinh C. Nguyen, Peng Cheng, Ming Ding, David López-Pérez, Pubudu N. Pathirana, Jun Li, Aruna Seneviratne, Yonghui Li, H. Vincent Poor

CoRR, 2020

Performance Analysis and Optimization in Privacy-Preserving Federated Learning.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor

CoRR, 2020

Blockchain as a Service for Multi-Access Edge Computing: A Deep Reinforcement Learning Approach.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

CoRR, 2020

Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

IEEE Commun. Surv. Tutorials, 2020

Privacy-Preserved Optimal Energy Trading, Statistics, and Forecasting for a Neighborhood Area Network.

David Smith, Peng Wang, Ming Ding, Jonathan Chan, Brian Spak, Xinlong Guan, Paul Tyler, Thierry Rakotoarivelo, Zihuai Lin, Tariq Abbasi

Computer, 2020

Spectrum Intelligent Radio: Technology, Development, and Future Trends.

Peng Cheng, Zhuo Chen, Ming Ding, Yonghui Li, Branka Vucetic, Dusit Niyato

IEEE Commun. Mag., 2020

Enhancing Cellular Communications for UAVs via Intelligent Reflective Surface.

Dong Ma, Ming Ding, Mahbub Hassan

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

Spatiotemporal Gaussian Process Kalman Filter for Mobile Traffic Prediction.

Yue Cai, Peng Cheng, Ming Ding, Youjia Chen, Yonghui Li, Branka Vucetic

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

Skin-MIMO: Vibration-based MIMO Communication over Human Skin.

Dong Ma, Yuezhong Wu, Ming Ding, Mahbub Hassan, Wen Hu

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Hiding Private Information in Images From AI.

Hanyu Xue, Bo Liu, Ming Ding, Li Song, Tianqing Zhu

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Extended Kalman Filter Beam Tracking for Millimeter Wave Vehicular Communications.

Sina Shaham, Matthew Kokshoorn, Ming Ding, Zihuai Lin, Mahyar Shirvanimoghaddam

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

Impact of UAV Trajectory on NOMA-Assisted Cellular-Connected UAV Networks.

Nilupuli Senadhira, Salman Durrani, Xiangyun Zhou, Nan Yang, Ming Ding

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Real-Time Task Offloading for Large-Scale Mobile Edge Computing.

Yizhen Xu, Peng Cheng, Zhuo Chen, Ming Ding, Yonghui Li, Branka Vucetic

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Blockchain and Edge Computing for Decentralized EMRs Sharing in Federated Healthcare.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

Proceedings of the IEEE Global Communications Conference, 2020

2019

Performance of Ultra-Dense Networks With a Generalized Multipath Fading.

Youjia Chen, Ming Ding, David López-Pérez

IEEE Wirel. Commun. Lett., 2019

The Impact of Adverse Weather Conditions on Autonomous Vehicles: How Rain, Snow, Fog, and Hail Affect the Performance of a Self-Driving Car.

Shizhe Zang, Ming Ding, David Smith, Paul Tyler, Thierry Rakotoarivelo, Mohamed Ali Kâafar

IEEE Veh. Technol. Mag., 2019

Optimal Base Station Antenna Downtilt in Downlink Cellular Networks.

Junnan Yang, Ming Ding, Guoqiang Mao, Zihuai Lin, De-gan Zhang, Tom H. Luan

IEEE Trans. Wirel. Commun., 2019

Design of an Efficient OFDMA-Based Multi-User Key Generation Protocol.

Junqing Zhang, Ming Ding, David López-Pérez, Alan Marshall, Lajos Hanzo

IEEE Trans. Veh. Technol., 2019

Key Generation Based on Large Scale Fading.

Junqing Zhang, Ming Ding, Guyue Li, Alan Marshall

IEEE Trans. Veh. Technol., 2019

Probabilistic Caching for Small-Cell Networks With Terrestrial and Aerial Users.

Fei Song, Jun Li, Ming Ding, Long Shi, Feng Shu, Meixia Tao, Wen Chen, H. Vincent Poor

IEEE Trans. Veh. Technol., 2019

Localized Small Cell Caching: A Machine Learning Approach Based on Rating Data.

Peng Cheng, Chuan Ma, Ming Ding, Yongjun Hu, Zihuai Lin, Yonghui Li, Branka Vucetic

IEEE Trans. Commun., 2019

Interference Management in In-Band D2D Underlaid Cellular Networks.

Junnan Yang, Ming Ding, Guoqiang Mao, Zihuai Lin

IEEE Trans. Cogn. Commun. Netw., 2019

Sensorless Node Architecture for Events detection in Self-Powered Nanosensor Networks.

Najm Hassan, Marios Mattheakis, Ming Ding

Nano Commun. Networks, 2019

Optimized deployment of drone base station to improve user experience in cellular networks.

Hailong Huang, Andrey V. Savkin, Ming Ding, Mohamed Ali Kâafar

J. Netw. Comput. Appl., 2019

Dynamic Content Update for Wireless Edge Caching via Deep Reinforcement Learning.

Pingyang Wu, Jun Li, Long Shi, Ming Ding, Kui Cai, Fuli Yang

IEEE Commun. Lett., 2019

On the Importance of Location Privacy for Users of Location Based Applications.

Sina Shaham, Saba Rafieian, Ming Ding, Mahyar Shirvanimoghaddam, Zihuai Lin

CoRR, 2019

Machine Learning Aided Anonymization of Spatiotemporal Trajectory Datasets.

Sina Shaham, Ming Ding, Bo Liu, Zihuai Lin, Jun Li

CoRR, 2019

Differentially Private Release of High-Dimensional Datasets using the Gaussian Copula.

Hassan Jameel Asghar, Ming Ding, Thierry Rakotoarivelo, Sirine Mrabet, Mohamed Ali Kâafar

CoRR, 2019

Adversaries or allies? Privacy and deep learning in big data era.

Bo Liu, Ming Ding, Tianqing Zhu, Yong Xiang, Wanlei Zhou

Concurr. Comput. Pract. Exp., 2019

Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges.

Azade Fotouhi, Haoran Qiang, Ming Ding, Mahbub Hassan, Lorenzo Galati-Giordano, Adrian García-Rodríguez, Jinhong Yuan

IEEE Commun. Surv. Tutorials, 2019

Mobile robots in wireless sensor networks: A survey on tasks.

Hailong Huang, Andrey V. Savkin, Ming Ding, Chao Huang

Comput. Networks, 2019

The Essential Guide to Realizing 5G-Connected UAVs with Massive MIMO.

Adrian García-Rodríguez, Giovanni Geraci, David López-Pérez, Lorenzo Galati-Giordano, Ming Ding, Emil Björnson

IEEE Commun. Mag., 2019

Analysis of Underlaid D2D-Enhanced Cellular Networks: Interference Management and Proportional Fair Scheduler.

Junnan Yang, Ming Ding, Guoqiang Mao, Zihuai Lin, Xiaohu Ge

IEEE Access, 2019

Fast Channel Estimation and Beam Tracking for Millimeter Wave Vehicular Communications.

Sina Shaham, Ming Ding, Matthew Kokshoorn, Zihuai Lin, Shuping Dang, Rana Abbas

IEEE Access, 2019

Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

IEEE Access, 2019

Diversity Based Coverage Improvement for Air-to-Ground Wireless Channels.

Nirmani Hewa Ranchagoda, Sithamparanathan Kandeepan, Ming Ding, Akram Al-Hourani, Karina Mabell Gomez

Proceedings of the 2019 IEEE International Conference on Wireless for Space and Extreme Environments, 2019

Sampling Free TDOA Localization in Millimeter Wave Networks.

Shree M. Prasad, Trilochan Panigrahi, Mahbub Hassan, Ming Ding

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Performance Analysis of Massive MIMO Two-Way Relay Systems with SWIPT.

Jinlong Wang, Liming Zheng, Ming Ding, Gang Wang, Zihuai Lin

Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

SWIPT in MIMO AF Relay Systems with Direct Link.

Jinlong Wang, Gang Wang, Zihuai Lin, Liming Zheng, Ming Ding

Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

The Effect of LoS and NLoS Transmissions on Base Station Clustering in Dense Small-Cell Networks.

Jiaqi Wang, Xiaoli Chu, Ming Ding, David López-Pérez

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

A New Look at UAV Channel Modeling: A Long Tail of LoS Probability.

Zihan Meng, Youjia Chen, Ming Ding, David López-Pérez

Proceedings of the 30th IEEE Annual International Symposium on Personal, 2019

Uplink Performance Analysis of UAV User Equipments in Dense Cellular Networks.

Ziyan Yin, Jun Li, Ming Ding, Feng Shu, Fei Song, Yuwen Qian, David López-Pérez

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Machine Learning Based Signal Detection for Ambient Backscatter Communications.

Yunkai Hu, Peng Wang, Zihuai Lin, Ming Ding, Ying-Chang Liang

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Protecting Privacy-Sensitive Locations in Trajectories with Correlated Positions.

Bo Liu, Tianqing Zhu, Wanlei Zhou, Kun Wang, Haibo Zhou, Ming Ding

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Joint Optimization of Access and Backhaul Links for UAVs Based on Reinforcement Learning.

Azade Fotouhi, Ming Ding, Lorenzo Galati-Giordano, Mahbub Hassan, Jun Li, Zihuai Lin

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

Protecting Multimedia Privacy from Both Humans and AI.

Bo Liu, Jian Xiong, Yiyan Wu, Ming Ding, Cynthia M. Wu

Proceedings of the 2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2019

2018

Dense Small Cell Networks: From Noise-Limited to Dense Interference-Limited.

Bin Yang, Guoqiang Mao, Ming Ding, Xiaohu Ge, Xiaofeng Tao

IEEE Trans. Veh. Technol., 2018

Socially Aware Caching Strategy in Device-to-Device Communication Networks.

Chuan Ma, Ming Ding, He Chen, Zihuai Lin, Guoqiang Mao, Ying-Chang Liang, Branka Vucetic

IEEE Trans. Veh. Technol., 2018

Performance Analysis of Dense Small Cell Networks With Dynamic TDD.

Tian Ding, Ming Ding, Guoqiang Mao, Zihuai Lin, Albert Y. Zomaya, David López-Pérez

IEEE Trans. Veh. Technol., 2018

On the Energy-Efficient Deployment for Ultra-Dense Heterogeneous Networks With NLoS and LoS Transmissions.

Bin Yang, Guoqiang Mao, Xiaohu Ge, Ming Ding, Xuan Yang

IEEE Trans. Green Commun. Netw., 2018

Performance Analysis of the Idle Mode Capability in a Dense Heterogeneous Cellular Network.

Chuan Ma, Ming Ding, David López-Pérez, Zihuai Lin, Jun Li, Guoqiang Mao

IEEE Trans. Commun., 2018

DNA-GA: A Tractable Approach for Performance Analysis of Uplink Cellular Networks.

Ming Ding, David López-Pérez, Guoqiang Mao, Zihuai Lin, Sajal K. Das

IEEE Trans. Commun., 2018

On the Fundamental Characteristics of Ultra-Dense Small Cell Networks.

Ming Ding, David López-Pérez, Holger Claussen, Mohamed Ali Kâafar

IEEE Netw., 2018

A Brief History on the Theoretical Analysis of Dense Small Cell Wireless Networks.

David López-Pérez, Ming Ding

CoRR, 2018

Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model.

Sina Shaham, Ming Ding, Bo Liu, Zihuai Lin, Jun Li

CoRR, 2018

RAF: Robust Adaptive Multi-Feedback Channel Estimation for Millimeter Wave MIMO Systems.

Sina Shaham, Matthew Kokshoorn, Zihuai Lin, Ming Ding

CoRR, 2018

Massive MIMO Unlicensed: A New Approach to Dynamic Spectrum Access.

Adrian García-Rodríguez, Giovanni Geraci, Lorenzo Galati-Giordano, Andrea Bonfante, Ming Ding, David López-Pérez

IEEE Commun. Mag., 2018

Performance Analysis of Dense Small Cell Networks With Practical Antenna Heights Under Rician Fading.

Amir H. Jafari, David López-Pérez, Ming Ding, Jie Zhang

IEEE Access, 2018

Flying Drone Base Stations for Macro Hotspots.

Azade Fotouhi, Ming Ding, Mahbub Hassan

IEEE Access, 2018

Performance analysis of uplink massive MIMO networks with a finite user density.

Xuefeng Yao, Ming Ding, David López-Pérez, Zihuai Lin, Guoqiang Mao, Yi Wu

Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

RAF: Robust adaptive multi-feedback channel estimation for millimeter wave MIMO systems.

Sina Shaham, Matthew Kokshoorn, Zihuai Lin, Ming Ding, Yi Wu

Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

On the performance of multi-tier heterogeneous cellular networks with idle mode capability.

Chuan Ma, Ming Ding, He Chen, Zihuai Lin, Guoqiang Mao, David López-Pérez

Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Promises and caveats of uplink IoT ultra-dense networks.

Ming Ding, David López-Pérez

Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Outage Capacity Analysis for Ambient Backscatter Communication Systems.

Siwen Xing, Ming Ding, Zihuai Lin

Proceedings of the 28th International Telecommunication Networks and Applications Conference, 2018

A Reinforcement Learning Based User Association Algorithm for UAV Networks.

Qingzhi Li, Ming Ding, Chuan Ma, Chang Liu, Zihuai Lin, Ying-Chang Liang

Proceedings of the 28th International Telecommunication Networks and Applications Conference, 2018

Performance Analysis of the Access Link of Drone Base Station Networks with LoS/NLoS Transmissions.

Huazhou Li, Ming Ding, David López-Pérez, Azade Fotouhi, Zihuai Lin, Mahbub Hassan

Proceedings of the Industrial Networks and Intelligent Systems, 2018

2D Versus 3D Geometric Modelling for Massive Access Networks in 5G-IoT Applications.

Bisma Manzoor, Akram Al-Hourani, Karina Gomez Chavez, Sithamparanathan Kandeepan, Ming Ding

Proceedings of the 12th International Conference on Signal Processing and Communication Systems, 2018

A Building Height-Dependent Gaussian Mixture Model to Characterize Air-to-Ground Wireless Channels.

Nirmani Hewa Ranchagoda, Sithamparanathan Kandeepan, Ming Ding, Umashanger Thayasivam, Karina Mabell Gomez

Proceedings of the IEEE International Conference on Communication Systems, 2018

Performance Analysis for Practical Unmanned Aerial Vehicle Networks with LoS/NLoS Transmissions.

Chang Liu, Ming Ding, Chuan Ma, Qingzhi Li, Zihuai Lin, Ying-Chang Liang

Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

Ultra-Dense Networks: Is There a Limit to Spatial Spectrum Reuse?

Ming Ding, David López-Pérez, Guoqiang Mao, Zihuai Lin

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Uplink Performance Analysis of Base Station Antenna Heights in Dense Cellular Networks.

Ziyan Yin, Jun Li, Ming Ding, Fei Song, David López-Pérez

Proceedings of the IEEE Global Communications Conference, 2018

Impact of Device Population on Beam Alignment Performance of 802.11ad.

Marjan Moradi, Kanchana Thilakarathna, Ming Ding, Mahbub Hassan

Proceedings of the IEEE Globecom Workshops, 2018

On the Downlink Performance of UAV Communications in Dense Cellular Networks.

David López-Pérez, Ming Ding, Huazhou Li, Lorenzo Galati-Giordano, Giovanni Geraci, Adrian García-Rodríguez, Zihuai Lin, Mahbub Hassan

Proceedings of the IEEE Global Communications Conference, 2018

Using Adversarial Noises to Protect Privacy in Deep Learning Era.

Bo Liu, Ming Ding, Tianqing Zhu, Yong Xiang, Wanlei Zhou

Proceedings of the IEEE Global Communications Conference, 2018

Interference Management in Underlay In-band D2D-Enhanced Cellular Networks : (Invited Paper).

Junnan Yang, Ming Ding, Guoqiang Mao, Tom Hao Luan

Proceedings of the 24th Asia-Pacific Conference on Communications, 2018

MAC Layer Performance Analysis of Dense Small Cell Networks with Full Duplex.

Tian Ding, Ming Ding, Guoqiang Mao

Proceedings of the 24th Asia-Pacific Conference on Communications, 2018

2017

Dynamic Reuse of Unlicensed Spectrum: An Inter-Working of LTE and WiFi.

Youjia Chen, Ming Ding, David López-Pérez, Jun Li, Zihuai Lin, Branka Vucetic

IEEE Wirel. Commun., 2017

Performance Impact of Base Station Antenna Heights in Dense Cellular Networks.

Ming Ding, David López-Pérez

IEEE Trans. Wirel. Commun., 2017

Uplink Performance Analysis of Dense Cellular Networks With LoS and NLoS Transmissions.

Tian Ding, Ming Ding, Guoqiang Mao, Zihuai Lin, David López-Pérez, Albert Y. Zomaya

IEEE Trans. Wirel. Commun., 2017

Sum Secrecy Rate Maximization for Relay-Aided Multiple-Source Multiple-Destination Networks.

Meng Zhang, Ming Ding, Lin Gui, Hanwen Luo, Mehdi Bennis

IEEE Trans. Veh. Technol., 2017

Performance Impact of Idle Mode Capability on Dense Small Cell Networks.

Ming Ding, David López-Pérez, Guoqiang Mao, Zihuai Lin

IEEE Trans. Veh. Technol., 2017

Probabilistic Small-Cell Caching: Performance Analysis and Optimization.

Youjia Chen, Ming Ding, Jun Li, Zihuai Lin, Guoqiang Mao, Lajos Hanzo

IEEE Trans. Veh. Technol., 2017

Optimized Deployment of Autonomous Drones to Improve User Experience in Cellular Networks.

Hailong Huang, Andrey V. Savkin, Ming Ding, Mohamed Ali Kâafar

CoRR, 2017

Optimum Interference Management in Underlay Inband D2D-Enhanced Cellular Networks.

Junnan Yang, Ming Ding, Guoqiang Mao

CoRR, 2017

Performance Analysis of Dense SCNs with Generalized Shadowing/Fading and NLOS/LOS Transmissions.

Bin Yang, Guoqiang Mao, Ming Ding, Xiaohu Ge, Xiaofeng Tao

CoRR, 2017

Analysis of Device-to-Device Communications in Uplink Cellular Networks with Lognormal Fading.

Junnan Yang, Ming Ding, Guoqiang Mao

CoRR, 2017

DroneCells: Improving 5G Spectral Efficiency using Drone-mounted Flying Base Stations.

Azade Fotouhi, Ming Ding, Mahbub Hassan

CoRR, 2017

A New Capacity Scaling Law in Ultra-Dense Networks.

Ming Ding, David López-Pérez, Guoqiang Mao

CoRR, 2017

The Major and Minor Factors in the Performance Analysis of Ultra-Dense Networks.

Ming Ding, David López-Pérez

CoRR, 2017

A Small-Cell Caching System in Mobile Cellular Networks With LoS and NLoS Channels.

Jun Li, Youjia Chen, Ming Ding, Feng Shu, Branka Vucetic, Xiaohu You

IEEE Access, 2017

Understanding autonomous drone maneuverability for Internet of Things applications.

Azade Fotouhi, Ming Ding, Mahbub Hassan

Proceedings of the 18th IEEE International Symposium on A World of Wireless, 2017

Dynamic base station repositioning to improve spectral efficiency of drone small cells.

Azade Fotouhi, Ming Ding, Mahbub Hassan

Proceedings of the 18th IEEE International Symposium on A World of Wireless, 2017

On the performance of practical ultra-dense networks: The major and minor factors.

Ming Ding, David López-Pérez

Proceedings of the 15th International Symposium on Modeling and Optimization in Mobile, 2017

LWIP and Wi-Fi Boost Flow Control.

David López-Pérez, Jonathan Ling, Bong-Ho Kim, Subramanian Vasudevan, Satish Kanugovi, Ming Ding

Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Performance analysis of dense small cell networks with generalized fading.

Bin Yang, Ming Ding, Guoqiang Mao, Xiaohu Ge

Proceedings of the IEEE International Conference on Communications, 2017

What Is the Optimal Network Deployment for a Fixed Density of Antennas?

Xuefeng Yao, Ming Ding, David López-Pérez, Zihuai Lin, Guoqiang Mao

Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017

Robust Regularised Channel Inversion for Massive MIMO Unlicensed.

Haoran Qiang, Ming Ding, Giovanni Geraci, Adrian García-Rodríguez, Jinhong Yuan

Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017

Massive MIMO Performance Comparison of Beamforming and Multiplexing in the Terahertz Band.

Sayed Amir Hoseini, Ming Ding, Mahbub Hassan

Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017

A New Look at MIMO Capacity in the Millimeter Wave.

Sayed Amir Hoseini, Ming Ding, Mahbub Hassan

Proceedings of the 2017 IEEE Global Communications Conference, 2017

Massive MIMO Unlicensed for High-Performance Indoor Networks.

Adrian García-Rodríguez, Giovanni Geraci, David López-Pérez, Lorenzo Galati-Giordano, Ming Ding, Holger Claussen

Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017

Service on Demand: Drone Base Stations Cruising in the Cellular Network.

Azade Fotouhi, Ming Ding, Mahbub Hassan

Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017

What Is the True Value of Dynamic TDD: A MAC Layer Perspective.

Ming Ding, David López-Pérez, Guoqiang Mao, Zihuai Lin

Proceedings of the 2017 IEEE Global Communications Conference, 2017

Ultra-Dense Networks: A New Look at the Proportional Fair Scheduler.

Ming Ding, David López-Pérez, Amir H. Jafari, Guoqiang Mao, Zihuai Lin

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

Performance Impact of LoS and NLoS Transmissions in Dense Cellular Networks.

Ming Ding, Peng Wang, David López-Pérez, Guoqiang Mao, Zihuai Lin

IEEE Trans. Wirel. Commun., 2016

Microscopic Analysis of the Uplink Interference in FDMA Small Cell Networks.

Ming Ding, David López-Pérez, Guoqiang Mao, Zihuai Lin

IEEE Trans. Wirel. Commun., 2016

On Dynamic Time-Division-Duplex Transmissions for Small-Cell Networks.

Ming Ding, David López-Pérez, Ruiqi Xue, Athanasios V. Vasilakos, Wen Chen

IEEE Trans. Veh. Technol., 2016

Performance Analysis of Raptor Codes Under Maximum Likelihood Decoding.

Peng Wang, Guoqiang Mao, Zihuai Lin, Ming Ding, Weifa Liang, Xiaohu Ge, Zhiyun Lin

IEEE Trans. Commun., 2016

A Space-Time Analysis of LTE and Wi-Fi Inter-Working.

Youjia Chen, Ming Ding, David López-Pérez, Zihuai Lin, Guoqiang Mao

IEEE J. Sel. Areas Commun., 2016

LWIP and Wi-Fi Boost Link Management.

David López-Pérez, Jonathan Ling, Bong-Ho Kim, Subramanian Vasudevan, Satish Kanugovi, Ming Ding

CoRR, 2016

Performance Impact of LOS and NLOS Transmissions in Dense Cellular Networks under Rician Fading.

Amir H. Jafari, Ming Ding, David López-Pérez, Jie Zhang

CoRR, 2016

Dynamic TDD: the Asynchronous Case and the Synchronous Case.

Ming Ding, David López-Pérez, Guoqiang Mao, Zihuai Lin

CoRR, 2016

Performance Impact of Idle Mode Capability on Dense Small Cell Networks with LoS and NLoS Transmissions.

Ming Ding, David López-Pérez, Guoqiang Mao, Zihuai Lin

CoRR, 2016

Wireless communications, networking, and positioning with unmanned aerial vehicles [Guest Editorial].

Ismail Güvenç, Walid Saad, Mehdi Bennis, Christian Wietfeld, Ming Ding, Lee Pike

IEEE Commun. Mag., 2016

Long Term Evolution-Wireless Local Area Network Aggregation Flow Control.

David López-Pérez, Daniela Laselva, Eugen Wallmeier, Päivi Purovesi, Petteri Lundén, Elena Virtej, Piotr Lechowicz, Esa Malkamäki, Ming Ding

IEEE Access, 2016

Boosted WiFi through LTE small cells: The solution for an all-wireless enterprise.

David López-Pérez, Jonathan Ling, Bong-Ho Kim, Subramanian Vasudevan, Satish Kanugovi, Ming Ding

Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016

DNA-GA: A new approach of network performance analysis.

Ming Ding, David López-Pérez, Guoqiang Mao, Zihuai Lin

Proceedings of the 2016 IEEE International Conference on Communications, 2016

Uplink performance analysis of dense cellular networks with LoS and NLoS transmissions.

Tian Ding, Ming Ding, Guoqiang Mao, Zihuai Lin, David López-Pérez

Proceedings of the 2016 IEEE International Conference on Communications, 2016

On the Performance of Multi-Tier Heterogeneous Networks under LoS and NLoS Transmissions.

Jiaqi Wang, Xiaoli Chu, Ming Ding, David López-Pérez

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

Socially Aware Distributed Caching in Device-to-Device Communication Networks.

Chuan Ma, Ming Ding, He Chen, Zihuai Lin, Guoqiang Mao, Xu Li

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

Dynamic Base Station Repositioning to Improve Performance of Drone Small Cells.

Azade Fotouhi, Ming Ding, Mahbub Hassan

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

Study on the Idle Mode Capability with LoS and NLoS Transmissions.

Ming Ding, David López-Pérez, Guoqiang Mao, Zihuai Lin

Proceedings of the 2016 IEEE Global Communications Conference, 2016

Please Lower Small Cell Antenna Heights in 5G.

Ming Ding, David López-Pérez

Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015

Guest Editorial Recent Advances in Heterogeneous Cellular Networks, Part II.

David López-Pérez, Mehdi Bennis, Ismail Güvenç, Ming Ding, Dusit Niyato, Preben E. Mogensen

IEEE J. Sel. Areas Commun., 2015

Guest Editorial: Recent Advances in Heterogeneous Cellular Networks, Part I.

David López-Pérez, Mehdi Bennis, Ismail Güvenç, Ming Ding, Dusit Niyato, Preben E. Mogensen

IEEE J. Sel. Areas Commun., 2015

CC On/Off Scheduling Using Learning-Based Prediction for LTE in the Unlicensed Spectrum.

Zhe Luo, Ming Ding, Hanwen Luo

IEEE Commun. Lett., 2015

Performance Analysis of Raptor Codes under Maximum-Likelihood (ML) Decoding.

Peng Wang, Guoqiang Mao, Zihuai Lin, Ming Ding, Weifa Liang, Xiaohu Ge, Zhiyun Lin

CoRR, 2015

Performance Impact of LoS and NLoS Transmissions in Small Cell Networks.

Ming Ding, Peng Wang, David López-Pérez, Guoqiang Mao, Zihuai Lin

CoRR, 2015

Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments.

David López-Pérez, Ming Ding, Holger Claussen, Amir H. Jafari

IEEE Commun. Surv. Tutorials, 2015

Study on Scheduling Techniques for Ultra Dense Small Cell Networks.

Amir H. Jafari, David López-Pérez, Ming Ding, Jie Zhang

Proceedings of the IEEE 82nd Vehicular Technology Conference, 2015

Correlated shadow fading for cellular network system-level simulations with wrap-around.

Ming Ding, Meng Zhang, David López-Pérez, Holger Claussen

Proceedings of the 2015 IEEE International Conference on Communications, 2015

Will the Area Spectral Efficiency Monotonically Grow as Small Cells Go Dense?

Ming Ding, David López-Pérez, Guoqiang Mao, Peng Wang, Zihuai Lin

Proceedings of the 2015 IEEE Global Communications Conference, 2015

Approximation of Uplink Inter-Cell Interference in FDMA Small Cell Networks.

Ming Ding, David López-Pérez, Guoqiang Mao, Zihuai Lin

Proceedings of the 2015 IEEE Global Communications Conference, 2015

2014

Polyblock Algorithm-Based Robust Beamforming for Downlink Multi-User Systems With Per-Antenna PowerConstraints.

Ming Ding, Hanwen Luo, Wen Chen

IEEE Trans. Wirel. Commun., 2014

Relaying Robust Beamforming for Device-to-Device Communication With Channel Uncertainty.

Yi Qin, Ming Ding, Meng Zhang, Hui Yu, Hanwen Luo

IEEE Commun. Lett., 2014

Dynamic Small Cell on/off Scheduling Using Stackelberg Game.

Zhe Luo, Ming Ding, Hanwen Luo

IEEE Commun. Lett., 2014

Small cell dynamic TDD transmissions in heterogeneous networks.

Ming Ding, David López-Pérez, Ruiqi Xue, Athanasios V. Vasilakos, Wen Chen

Proceedings of the IEEE International Conference on Communications, 2014

Dynamic TDD transmissions in homogeneous small cell networks.

Ming Ding, David López-Pérez, Athanasios V. Vasilakos, Wen Chen

Proceedings of the IEEE International Conference on Communications, 2014

Analysis on the SINR performance of dynamic TDD in homogeneous small cell networks.

Ming Ding, David López-Pérez, Athanasios V. Vasilakos, Wen Chen

Proceedings of the IEEE Global Communications Conference, 2014

2013

Leakage-Based Robust Beamforming for Multi-Antenna Broadcast System With Per-Antenna Power Constraints and Quantized CDI.

Ming Ding, Meng Zhang, Hanwen Luo, Wen Chen

IEEE Trans. Signal Process., 2013

2012

Sequential and Incremental Precoder Design for Joint Transmission Network MIMO Systems With Imperfect Backhaul.

Ming Ding, Jun Zou, Zeng Yang, Hanwen Luo, Wen Chen

IEEE Trans. Veh. Technol., 2012

A Novel User Pairing Algorithm for Uplink Virtual MIMO Systems.

Wei Liu, Wuyang Jiang, Hanwen Luo, Ming Ding

IEICE Trans. Commun., 2012

Efficient Antenna Selection for Amplify-and-Forward Two-Way MIMO Relay Systems.

Ming Ding, Jun Zou, Zeng Yang, Hanwen Luo

IEICE Trans. Commun., 2012

Antenna Selection SFN Precoding Scheme for Downlink Cooperative MIMO Systems.

Ming Ding, Jun Zou, Zeng Yang, Hanwen Luo

IEICE Trans. Commun., 2012

2011

Robust Joint Linear Precoding for AF MIMO Relay Broadcast Systems with Limited Feedback.

Jun Zou, Ming Ding, Hanwen Luo

IEICE Trans. Commun., 2011

Efficient Limited Feedback for MIMO-Relay Systems.

Youlong Wu, Hanwen Luo, Ming Ding, Jun Zou, Xiuna Li

IEEE Commun. Lett., 2011

Optimal Precoding for Bi-directional MIMO Transmission with Network Coding.

Yi Qin, Ming Ding, Hanwen Luo

Proceedings of the Wireless Algorithms, Systems, and Applications, 2011

Transceiver Design for AF MIMO Two-Way Relay Systems with Imperfect Channel Estimation.

Jun Zou, Wei Liu, Ming Ding, Hanwen Luo, Hui Yu

Proceedings of the Global Communications Conference, 2011

2010

MMSE Based Greedy Antenna Selection Scheme for AF MIMO Relay Systems.

Ming Ding, Shi Liu, Hanwen Luo, Wen Chen

IEEE Signal Process. Lett., 2010

Optimum Antenna Selection with Doubly ZF Processing for AF MIMO Relay Systems.

Ming Ding, Shi Liu, Hanwen Luo, Wuyang Jiang, Jing Lv

IEICE Trans. Commun., 2010

Antenna Selection for AF MIMO Relay Networks and the Capacity Scaling Tendency.

Ming Ding, Shi Liu, Hanwen Luo, Xinbing Wang

Proceedings of IEEE International Conference on Communications, 2010

2009

Resource Allocation in Cooperative OFDMA Systems with Fairness Constraint.

Hongxing Li, Hanwen Luo, Xinbing Wang, Ming Ding, Wen Chen

IEICE Trans. Commun., 2009

2007

Frequency Offset Estimator for OFDM Using a Special Preamble.

Yun Wu, Hanwen Luo, Ming Ding, Renmao Liu, Haibin Zhang

IEICE Trans. Commun., 2007

2006

A High Performance Frequency Offset Estimator for OFDM Systems Based on a Special Preamble.

Yun Wu, Hanwen Luo, Ming Ding, Renmao Liu

Proceedings of the IEEE 17th International Symposium on Personal, 2006