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ORCIDMing Ding 0001
Person information
- affiliation: CSIRO, Eveleigh, NSW, Australia
- affiliation (former): NICTA, Melbourne, VIC, Australia
- affiliation (former): Sharp Laboratories of China Co. Ltd, Shanghai, China
- affiliation (PhD 2011): Shanghai Jiao Tong University, Shanghai, China
Other persons with the same name
- Ming Ding — disambiguation page
- Ming Ding 0002
![[0000-0002-4919-5772]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4919-5772")
— Nagoya University, Institutes of Innovation for Future Society, Japan (and 1 more) - Ming Ding 0003 — Imec-nl/Holst Centre, Eindhoven, The Netherlands (and 1 more)
- Ming Ding 0004 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Ming Ding 0005 — ETH Zurich, Department of Computer Science, Switzerland
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2020 – today
- 2023
[j128]Peng Cheng, Youjia Chen, Ming Ding, Zhuo Chen, Sige Liu, Yi-Ping Phoebe Chen:
Deep Reinforcement Learning for Online Resource Allocation in IoT Networks: Technology, Development, and Future Challenges. IEEE Commun. Mag. 61(6): 111-117 (2023)- [j127]Nan Sun, Ming Ding, Jiaojiao Jiang, Weikang Xu, Xiaoxing Mo, Yonghang Tai, Jun Zhang:
Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives. IEEE Commun. Surv. Tutorials 25(3): 1748-1774 (2023) - [j126]Hanyu Xue, Bo Liu, Xin Yuan, Ming Ding, Tianqing Zhu:
Face image de-identification by feature space adversarial perturbation. Concurr. Comput. Pract. Exp. 35(5) (2023) - [j125]Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia A. Dobre, Won-Joo Hwang:
Federated Learning for Smart Healthcare: A Survey. ACM Comput. Surv. 55(3): 60:1-60:37 (2023) - [j124]Youjia Chen, Baoxian Zhang, Jinsong Hu, David López-Pérez, Ming Ding:
Analysis on Energy Efficiency of Large Scale Intelligent Reflecting Surface-Enabled Networks. IEEE Commun. Lett. 27(10): 2802-2806 (2023) - [j123]Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Ming Ding:
Universal optimality and robust utility bounds for metric differential privacy. J. Comput. Secur. 31(5): 539-580 (2023) - [j122]Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen:
Low-Latency Federated Learning With DNN Partition in Distributed Industrial IoT Networks. IEEE J. Sel. Areas Commun. 41(3): 755-775 (2023) - [j121]Songjie Xie, Shuai Ma, Ming Ding, Yuanming Shi, MingJian Tang, Youlong Wu:
Robust Information Bottleneck for Task-Oriented Communication With Digital Modulation. IEEE J. Sel. Areas Commun. 41(8): 2577-2591 (2023) - [j120]Ziyan Yin, Zhe Wang, Jun Li, Ming Ding, Wen Chen, Shi Jin:
Decentralized Federated Reinforcement Learning for User-Centric Dynamic TFDD Control. IEEE J. Sel. Top. Signal Process. 17(1): 40-53 (2023) - [j119]Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor:
Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning. Proc. IEEE 111(9): 1097-1132 (2023) - [j118]Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou:
Label-Only Membership Inference Attacks and Defenses in Semantic Segmentation Models. IEEE Trans. Dependable Secur. Comput. 20(2): 1435-1449 (2023) - [j117]Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor:
RDP-GAN: A Rényi-Differential Privacy Based Generative Adversarial Network. IEEE Trans. Dependable Secur. Comput. 20(6): 4838-4852 (2023) - [j116]Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H. Vincent Poor:
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning. IEEE Trans. Inf. Forensics Secur. 18: 1884-1897 (2023) - [j115]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Wen Chen, Jun Wu, Meixia Tao, H. Vincent Poor:
Personalized Federated Learning With Differential Privacy and Convergence Guarantee. IEEE Trans. Inf. Forensics Secur. 18: 4488-4503 (2023) - [j114]Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo:
Federated Meta-Learning for Few-Shot Fault Diagnosis With Representation Encoding. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j113]Chuan Ma, Long Yuan, Li Han, Ming Ding, Raghav Bhaskar, Jun Li:
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy. IEEE Trans. Knowl. Data Eng. 35(4): 3619-3631 (2023) - [j112]Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor:
Cooperative Task Offloading and Block Mining in Blockchain-Based Edge Computing With Multi-Agent Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 22(4): 2021-2037 (2023) - [j111]Youjia Chen, Baoxian Zhang, Ming Ding, David López-Pérez, Mahbub Hassan, Mérouane Debbah, Zhizhang (David) Chen:
Downlink Performance Analysis of Intelligent Reflecting Surface-Enabled Networks. IEEE Trans. Veh. Technol. 72(2): 2082-2097 (2023) - [j110]Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor:
Blockchain Assisted Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Client Scheduling. IEEE Trans. Wirel. Commun. 22(5): 3537-3553 (2023) - [c85]Luping Rao, Chuan Ma, Ming Ding, Yuwen Qian, Lu Zhou, Zhe Liu:
Sparse Federated Training of Object Detection in the Internet of Vehicles. ICC 2023: 1768-1773 - [c84]Kecheng Fan, Wen Chen, Jun Li, Xiumei Deng, Xuefeng Han, Ming Ding:
Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning. ICCC 2023: 1-6 - [c83]Zhengrong Song, Chuan Ma, Ming Ding, Howard H. Yang, Yuwen Qian, Xiangwei Zhou:
Personalized Federated Deep Reinforcement Learning-based Trajectory Optimization for Multi-UAV Assisted Edge Computing. ICCC 2023: 1-6 - [c82]Su Yen Chia, Xiwei Xu, Ming Ding, David B. Smith, Hye-Young Paik, Liming Zhu:
A Selection Model of Privacy Patterns. ICSA 2023: 1-11 - [c81]Yuan Zhao, Bo Liu, Ming Ding, Baoping Liu, Tianqing Zhu, Xin Yu:
Proactive Deepfake Defence via Identity Watermarking. WACV 2023: 4591-4600 - [c80]Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu, Xin Yu:
TI2Net: Temporal Identity Inconsistency Network for Deepfake Detection. WACV 2023: 4680-4689 - [c79]Guodong Huang, Chuan Ma, Ming Ding, Yuwen Qian, Chunpeng Ge, Liming Fang, Zhe Liu:
Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic. WWW 2023: 1991-1999 - [i113]Guodong Huang, Chuan Ma, Ming Ding, Yuwen Qian, Chunpeng Ge, Liming Fang, Zhe Liu:
Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic. CoRR abs/2302.13763 (2023) - [i112]Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H. Vincent Poor:
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning. CoRR abs/2303.04274 (2023) - [i111]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Haitao Zhao, Wen Chen, Hongbo Zhu:
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy. CoRR abs/2304.04164 (2023) - [i110]Kai Liang, Songze Li, Ming Ding, Youlong Wu:
Multi-Server Secure Aggregation with Unreliable Communication Links. CoRR abs/2304.07573 (2023) - [i109]Youyang Qu, Xin Yuan, Ming Ding, Wei Ni, Thierry Rakotoarivelo, David B. Smith:
Learn to Unlearn: A Survey on Machine Unlearning. CoRR abs/2305.07512 (2023) - [i108]Hao Yu, Chuan Ma, Meng Liu, Xinwang Liu, Zhe Liu, Ming Ding:
G2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering. CoRR abs/2306.04984 (2023) - [i107]Kecheng Fan, Wen Chen, Jun Li, Xiumei Deng, Xuefeng Han, Ming Ding:
Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning. CoRR abs/2307.09263 (2023) - [i106]Xuefeng Han, Jun Li, Wen Chen, Zhen Mei, Kang Wei, Ming Ding, H. Vincent Poor:
Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity. CoRR abs/2308.03521 (2023) - [i105]Zhengrong Song, Chuan Ma, Ming Ding, Howard H. Yang, Yuwen Qian, Xiangwei Zhou:
Personalized Federated Deep Reinforcement Learning-based Trajectory Optimization for Multi-UAV Assisted Edge Computing. CoRR abs/2309.02193 (2023) - [i104]Xusheng Zhu, Wen Chen, Qingqing Wu, Zhendong Li, Jun Li, Shunqing Zhang, Ming Ding:
Reconfigurable Intelligent Surface Aided Space Shift Keying With Imperfect CSI. CoRR abs/2309.03059 (2023) - [i103]Luping Rao, Chuan Ma, Ming Ding, Yuwen Qian, Lu Zhou, Zhe Liu:
Sparse Federated Training of Object Detection in the Internet of Vehicles. CoRR abs/2309.03569 (2023) - [i102]Shiying Zhang, Jun Li, Long Shi, Ming Ding, Dinh C. Nguyen, Wuzheng Tan, Jian Weng, Zhu Han:
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems. CoRR abs/2309.11039 (2023) - [i101]Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo:
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding. CoRR abs/2310.09002 (2023) - [i100]Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou:
FD-MIA: Efficient Attacks on Fairness-enhanced Models. CoRR abs/2311.03865 (2023) - 2022
- [j109]Chuan Ma, Jun Li, Long Shi, Ming Ding, Taotao Wang, Zhu Han, H. Vincent Poor:
When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm. IEEE Comput. Intell. Mag. 17(3): 26-33 (2022) - [j108]Yuan Zhao, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou:
Private-encoder: Enforcing privacy in latent space for human face images. Concurr. Comput. Pract. Exp. 34(3) (2022) - [j107]Bo Liu, Ming Ding, Sina Shaham, Wenny Rahayu, Farhad Farokhi, Zihuai Lin:
When Machine Learning Meets Privacy: A Survey and Outlook. ACM Comput. Surv. 54(2): 31:1-31:36 (2022) - [j106]Yunqian Wen, Bo Liu, Ming Ding, Rong Xie, Li Song:
IdentityDP: Differential private identification protection for face images. Neurocomputing 501: 197-211 (2022) - [j105]Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, Octavia A. Dobre, H. Vincent Poor:
6G Internet of Things: A Comprehensive Survey. IEEE Internet Things J. 9(1): 359-383 (2022) - [j104]Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Albert Y. Zomaya:
Federated Learning for COVID-19 Detection With Generative Adversarial Networks in Edge Cloud Computing. IEEE Internet Things J. 9(12): 10257-10271 (2022) - [j103]Youjia Chen, Tiesong Zhao, Peng Cheng, Ming Ding, Chang Wen Chen:
Joint Front-Edge-Cloud IoVT Analytics: Resource-Effective Design and Scheduling. IEEE Internet Things J. 9(23): 23941-23953 (2022) - [j102]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor:
Low-Latency Federated Learning Over Wireless Channels With Differential Privacy. IEEE J. Sel. Areas Commun. 40(1): 290-307 (2022) - [j101]Dinh C. Nguyen, Van-Dinh Nguyen, Ming Ding, Symeon Chatzinotas, Pubudu N. Pathirana, Aruna Seneviratne, Octavia A. Dobre, Albert Y. Zomaya:
Intelligent Blockchain-Based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges. IEEE Netw. 36(6): 12-19 (2022) - [j100]Shunfeng Chu, Jun Li, Jianxin Wang, Zhe Wang, Ming Ding, Yijin Zhang, Yuwen Qian, Wen Chen:
Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Task Scheduling. IEEE Trans. Cogn. Commun. Netw. 8(4): 1910-1924 (2022) - [j99]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor:
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization. IEEE Trans. Mob. Comput. 21(9): 3388-3401 (2022) - [j98]Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor:
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation. IEEE Trans. Parallel Distributed Syst. 33(10): 2401-2415 (2022) - [j97]Yuwen Qian, Kexin Sheng, Chuan Ma, Jun Li, Ming Ding, Mahbub Hassan:
Path Planning for the Dynamic UAV-Aided Wireless Systems Using Monte Carlo Tree Search. IEEE Trans. Veh. Technol. 71(6): 6716-6721 (2022) - [j96]Youjia Chen, Ming Ding, David López-Pérez, Xuefeng Yao, Zihuai Lin, Guoqiang Mao:
On the Theoretical Analysis of Network-Wide Massive MIMO Performance and Pilot Contamination. IEEE Trans. Wirel. Commun. 21(2): 1077-1091 (2022) - [j95]Jichao Leng, Zihuai Lin, Ming Ding, Peng Wang, David B. Smith, Branka Vucetic:
Client Scheduling in Wireless Federated Learning Based on Channel and Learning Qualities. IEEE Wirel. Commun. Lett. 11(4): 732-735 (2022) - [c78]Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Ming Ding:
Universal Optimality and Robust Utility Bounds for Metric Differential Privacy. CSF 2022: 348-363 - [c77]Hanchi Shen, Jun Li, Kang Wei, Pengcheng Xia, Sirui Tian, Ming Ding, Zengxiang Li:
CluFL: Cluster-driven Weighted FL Model Aggregation Strategy. ICPADS 2022: 883-890 - [c76]Xinbo Ban, Ming Ding, Shigang Liu, Chao Chen, Jun Zhang:
A Survey on IoT Vulnerability Discovery. NSS 2022: 267-282 - [i99]Yuwen Qian, Kexin Sheng, Chuan Ma, Jun Li, Ming Ding, Mahbub Hassan:
Path Planning for the Dynamic UAV-Aided Wireless Systems using Monte Carlo Tree Search. CoRR abs/2202.02457 (2022) - [i98]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Sha Wei, Fan Wu, Guihai Chen, Thilina Ranbaduge:
Vertical Federated Learning: Challenges, Methodologies and Experiments. CoRR abs/2202.04309 (2022) - [i97]Chuan Ma, Jun Li. Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor:
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning. CoRR abs/2202.09027 (2022) - [i96]Nardine Basta, Ming Ding, Muhammad Ikram, Mohamed Ali Kâafar:
5G-Enabled Pseudonymity for Cooperative Intelligent Transportation System. CoRR abs/2203.10673 (2022) - [i95]Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Ming Ding:
Universal Optimality and Robust Utility Bounds for Metric Differential Privacy. CoRR abs/2205.01258 (2022) - [i94]Dinh C. Nguyen, Van-Dinh Nguyen, Ming Ding, Symeon Chatzinotas, Pubudu N. Pathirana, Aruna Seneviratne, Octavia A. Dobre, Albert Y. Zomaya:
Intelligent Blockchain-based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges. CoRR abs/2206.09009 (2022) - [i93]Songjie Xie, Youlong Wu, Shuai Ma, Ming Ding, Yuanming Shi, Mingjian Tang:
Robust Information Bottleneck for Task-Oriented Communication with Digital Modulation. CoRR abs/2209.10382 (2022) - [i92]Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou:
How Does a Deep Learning Model Architecture Impact Its Privacy? CoRR abs/2210.11049 (2022) - [i91]Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen:
Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks. CoRR abs/2210.14700 (2022) - [i90]Thilina Ranbaduge, Dinusha Vatsalan, Ming Ding:
Privacy-preserving Deep Learning based Record Linkage. CoRR abs/2211.02161 (2022) - [i89]Ziyan Yin, Zhe Wang, Jun Li, Ming Ding, Wen Chen, Shi Jin:
Decentralized Federated Reinforcement Learning for User-Centric Dynamic TFDD Control. CoRR abs/2211.02296 (2022) - [i88]Thilina Ranbaduge, Ming Ding:
Differentially Private Vertical Federated Learning. CoRR abs/2211.06782 (2022) - 2021
- [j94]Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne:
Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey. IEEE Access 9: 95730-95753 (2021) - [j93]Dinh C. Nguyen, Peng Cheng, Ming Ding, David López-Pérez, Pubudu N. Pathirana, Jun Li, Aruna Seneviratne, Yonghui Li, H. Vincent Poor:
Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective. IEEE Commun. Surv. Tutorials 23(1): 553-595 (2021) - [j92]Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor:
Federated Learning for Internet of Things: A Comprehensive Survey. IEEE Commun. Surv. Tutorials 23(3): 1622-1658 (2021) - [j91]Yizhen Xu, Zhengyang Zhao, Peng Cheng, Zhuo Chen, Ming Ding, Branka Vucetic, Yonghui Li:
Constrained Reinforcement Learning for Resource Allocation in Network Slicing. IEEE Commun. Lett. 25(5): 1554-1558 (2021) - [j90]Yunkai Hu, Peng Wang, Zihuai Lin, Ming Ding:
Performance Analysis of Reconfigurable Intelligent Surface Assisted Wireless System With Low-Density Parity-Check Code. IEEE Commun. Lett. 25(9): 2879-2883 (2021) - [j89]Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne:
BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain. IEEE Internet Things J. 8(14): 11743-11757 (2021) - [j88]Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham, Pubudu N. Pathirana, Long Bao Le, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor:
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges. IEEE Internet Things J. 8(16): 12806-12825 (2021) - [j87]Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor:
Federated Learning With Unreliable Clients: Performance Analysis and Mechanism Design. IEEE Internet Things J. 8(24): 17308-17319 (2021) - [j86]Azade Fotouhi, Ming Ding, Mahbub Hassan:
DroneCells: Improving spectral efficiency using drone-mounted flying base stations. J. Netw. Comput. Appl. 174: 102895 (2021) - [j85]Zijiao Chen, Zihuai Lin, Peng Wang, Ming Ding:
Negative-ResNet: noisy ambulatory electrocardiogram signal classification scheme. Neural Comput. Appl. 33(14): 8857-8869 (2021) - [j84]Sepehr Ebrahimi Mood, Ming Ding, Zihuai Lin, Mohammad Masoud Javidi:
Performance optimization of UAV-based IoT communications using a novel constrained gravitational search algorithm. Neural Comput. Appl. 33(22): 15557-15568 (2021) - [j83]Jinao Yu, Hanyu Xue, Bo Liu, Yu Wang, Shibing Zhu, Ming Ding:
GAN-Based Differential Private Image Privacy Protection Framework for the Internet of Multimedia Things. Sensors 21(1): 58 (2021) - [j82]Azade Fotouhi, Ming Ding, Mahbub Hassan:
Deep Q-Learning for Two-Hop Communications of Drone Base Stations. Sensors 21(6): 1960 (2021) - [j81]Sina Shaham, Ming Ding, Bo Liu, Shuping Dang, Zihuai Lin, Jun Li:
Privacy Preserving Location Data Publishing: A Machine Learning Approach. IEEE Trans. Knowl. Data Eng. 33(9): 3270-3283 (2021) - [j80]Ming Ding, David López-Pérez, Youjia Chen, Guoqiang Mao, Zihuai Lin, Albert Y. Zomaya:
Ultra-Dense Networks: A Holistic Analysis of Multi-Piece Path Loss, Antenna Heights, Finite Users and BS Idle Modes. IEEE Trans. Mob. Comput. 20(4): 1702-1713 (2021) - [j79]Sina Shaham, Ming Ding, Bo Liu, Shuping Dang, Zihuai Lin, Jun Li:
Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model. IEEE Trans. Mob. Comput. 20(10): 3006-3019 (2021) - [j78]Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne:
Secure Computation Offloading in Blockchain Based IoT Networks With Deep Reinforcement Learning. IEEE Trans. Netw. Sci. Eng. 8(4): 3192-3208 (2021) - [j77]Yizhen Xu, Peng Cheng, Zhuo Chen, Ming Ding, Yonghui Li, Branka Vucetic:
Task Offloading for Large-Scale Asynchronous Mobile Edge Computing: An Index Policy Approach. IEEE Trans. Signal Process. 69: 401-416 (2021) - [j76]Yunkai Hu, Peng Wang, Zihuai Lin, Ming Ding, Ying-Chang Liang:
Performance Analysis of Ambient Backscatter Systems With LDPC-Coded Source Signals. IEEE Trans. Veh. Technol. 70(8): 7870-7884 (2021) - [j75]Nirmani Hewa Ranchagoda, Kandeepan Sithamparanathan, Ming Ding, Akram Al-Hourani, Karina Mabell Gomez:
Elevation-angle based two-ray path loss model for Air-to-Ground wireless channels. Veh. Commun. 32: 100393 (2021) - [j74]Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor:
Federated Learning for Industrial Internet of Things in Future Industries. IEEE Wirel. Commun. 28(6): 192-199 (2021) - [c75]Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne:
Deep Reinforcement Learning for Collaborative Offloading in Heterogeneous Edge Networks. CCGRID 2021: 297-303 - [c74]Xinbo Ban, Ming Ding, Shigang Liu, Chao Chen, Jun Zhang, Yang Xiang:
TAESim: A Testbed for IoT Security Analysis of Trigger-Action Environment. CyberICPS/SECPRE/ADIoT/SPOSE/CPS4CIP/CDT&SECOMANE@ESORICS 2021: 218-237 - [c73]Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne:
A Cooperative Architecture of Data Offloading and Sharing for Smart Healthcare with Blockchain. IEEE ICBC 2021: 1-8 - [c72]Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor:
Utility Optimization for Blockchain Empowered Edge Computing with Deep Reinforcement Learning. ICC 2021: 1-6 - [c71]Yuekai Cai, Youjia Chen, Ming Ding, Peng Cheng, Jun Li:
Mobility Prediction-Based Wireless Edge Caching Using Deep Reinforcement Learning. ICCC 2021: 1036-1041 - [c70]Yongjie Zhan, Le Li, Yuwen Qian, Chuan Ma, Ming Ding, Bo Liu:
A Hybrid Spatiotemporal Attack in Continuous LBS Queries. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2021: 174-181 - [c69]Youjia Chen, Baoxian Zhang, Ming Ding, David López-Pérez, Haifeng Zheng:
Performance Analysis of Wireless Networks with Intelligent Reflecting Surfaces. WCNC 2021: 1-6 - [i87]Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor:
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation. CoRR abs/2101.06905 (2021) - [i86]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor:
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization. CoRR abs/2101.11799 (2021) - [i85]Sayed Amir Hoseini, Ming Ding, Mahbub Hassan, Youjia Chen:
Analyzing the Impact of Molecular Re-Radiation on the MIMO Capacity in High-Frequency Bands. CoRR abs/2102.01809 (2021) - [i84]Yunqian Wen, Li Song, Bo Liu, Ming Ding, Rong Xie:
IdentityDP: Differential Private Identification Protection for Face Images. CoRR abs/2103.01745 (2021) - [i83]Bo Liu, Ming Ding, Hanyu Xue, Tianq