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ORCIDChuan Ma 0001
Person information
- affiliation: Chongqing University, China
- affiliation (former): Zhejiang Lab, Hangzhou, China
- affiliation (PhD 2018): University of Sydney, Australia
Other persons with the same name
- Chuan Ma — disambiguation page
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2020 – today
- 2025
[j38]Hao Yu
, Ke Liang, Dayu Hu, Wenxuan Tu, Chuan Ma, Sihang Zhou, Xinwang Liu:
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization. IEEE Trans. Knowl. Data Eng. 37(1): 319-333 (2025)- 2024
- [j37]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Feng Shu, Haitao Zhao, Wen Chen, Hongbo Zhu:
Gradient sparsification for efficient wireless federated learning with differential privacy. Sci. China Inf. Sci. 67(4) (2024) - [j36]Yang Bai, Gaojie Xing, Hongyan Wu, Zhihong Rao, Chengzong Peng, Yutang Rao, Wentao Yang, Chuan Ma, Jiani Li, Yimin Zhou:
ISPPFL: An incentive scheme based privacy-preserving federated learning for avatar in metaverse. Comput. Networks 251: 110654 (2024) - [j35]Xirong Ma, Chuan Ma, Yali Jiang, Chunpeng Ge:
Improved privacy-preserving PCA using optimized homomorphic matrix multiplication. Comput. Secur. 138: 103658 (2024) - [j34]Pengyu Cui, Yunting Tao, Bin Zhen, Fanyu Kong, Chunpeng Ge, Chuan Ma, Jia Yu:
Accelerating Graph Embedding Through Secure Distributed Outsourcing Computation in Internet of Things. IEEE Internet Things J. 11(16): 27687-27699 (2024) - [j33]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor:
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization. IEEE Trans. Dependable Secur. Comput. 21(3): 1196-1209 (2024) - [j32]Jiale Zhang, Chengcheng Zhu, Chunpeng Ge, Chuan Ma, Yanchao Zhao, Xiaobing Sun, Bing Chen:
BadCleaner: Defending Backdoor Attacks in Federated Learning via Attention-Based Multi-Teacher Distillation. IEEE Trans. Dependable Secur. Comput. 21(5): 4559-4573 (2024) - [j31]Yuwen Qian, Guodong Huang, Chuan Ma, Ming Ding, Long Yuan, Zi Chen, Kai Wang:
Enhancing Resilience in Website Fingerprinting: Novel Adversary Strategies for Noisy Traffic Environments. IEEE Trans. Inf. Forensics Secur. 19: 7216-7231 (2024) - [j30]Hao Wang, Yichen Cai, Jun Wang, Chuan Ma, Chunpeng Ge, Xiangmou Qu, Lu Zhou:
Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation. IEEE Trans. Inf. Forensics Secur. 19: 9744-9759 (2024) - [j29]Yuwen Qian, Luping Rao, Chuan Ma, Kang Wei, Ming Ding, Long Shi:
Toward Efficient and Secure Object Detection With Sparse Federated Training Over Internet of Vehicles. IEEE Trans. Intell. Transp. Syst. 25(10): 14507-14520 (2024) - [j28]Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai, Kunlun He:
RARE: Robust Masked Graph Autoencoder. IEEE Trans. Knowl. Data Eng. 36(10): 5340-5353 (2024) - [j27]Miaomiao Li, Yi Zhang, Chuan Ma, Suyuan Liu, Zhe Liu, Jianping Yin, Xinwang Liu, Qing Liao:
Regularized Simple Multiple Kernel k-Means With Kernel Average Alignment. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15910-15919 (2024) - [j26]Fangming Zhao, Nikolaos Pappas, Chuan Ma, Xinghua Sun, Tony Q. S. Quek, Howard H. Yang:
Age-Threshold Slotted ALOHA for Optimizing Information Freshness in Mobile Networks. IEEE Trans. Wirel. Commun. 23(11): 17236-17251 (2024) - [c27]Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu:
Attribute-Missing Graph Clustering Network. AAAI 2024: 15392-15401 - [c26]Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Di Xiao, Tao Xiang:
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-relational Extraction. ECCV (34) 2024: 186-203 - [c25]Chuan Ma, Long Yuan, Li Han, Ming Ding, Raghav Bhaskar, Jun Li:
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy (Extended abstract). ICDE 2024: 5721-5722 - [c24]Shuchi Wu, Chuan Ma, Kang Wei, Ming Ding, Jiyun Yang, Yuwen Qian:
Towards Efficient Backdoor Attacks Against Federated Self-supervised Learning as a Service Through Intra-Union Aggregation. ICSS 2024: 122-135 - [c23]Fangming Zhao, Nikolaos Pappas, Chuan Ma, Xinghua Sun, Tony Q. S. Quek, Howard H. Yang:
Optimizing Information Freshness in Mobile Networks with Age-Threshold ALOHA. ISIT 2024: 963-968 - [i30]Yuwen Qian, Shuchi Wu, Kang Wei, Ming Ding, Di Xiao, Tao Xiang, Chuan Ma, Song Guo:
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection. CoRR abs/2405.13080 (2024) - [i29]Siyang Jiang, Hao Yang, Qipeng Xie, Chuan Ma, Sen Wang, Guoliang Xing:
Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption. CoRR abs/2408.06197 (2024) - [i28]Hao Wang, Yichen Cai, Jun Wang, Chuan Ma, Chunpeng Ge, Xiangmou Qu, Lu Zhou:
Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation. CoRR abs/2408.06885 (2024) - [i27]Zhongming Wang, Tao Xiang, Xiaoguo Li, Biwen Chen, Guomin Yang, Chuan Ma, Robert H. Deng:
Impact Tracing: Identifying the Culprit of Misinformation in Encrypted Messaging Systems. IACR Cryptol. ePrint Arch. 2024: 2027 (2024) - 2023
- [j25]Shan Ji, Wei Zhou, Chuan Ma, Dafang Li, Kui Zhu, Liming Fang:
Proofs of retrievability with tag outsourcing based on Goppa codes. Comput. Stand. Interfaces 86: 103719 (2023) - [j24]Shan Ji, Jiale Zhang, Yongjing Zhang, Zhaoyang Han, Chuan Ma:
LAFED: A lightweight authentication mechanism for blockchain-enabled federated learning system. Future Gener. Comput. Syst. 145: 56-67 (2023) - [j23]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) - [j22]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) - [j21]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) - [j20]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) - [j19]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) - [j18]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) - [c22]Wenjie Zhou, Zhaoyang Han, Chuan Ma, Zhe Liu, Piji Li:
Interpretability-Based Cross-Silo Federated Learning. CICAI (2) 2023: 545-556 - [c21]Yanwu Lu, Howard H. Yang, Nikolaos Pappas, Giovanni Geraci, Chuan Ma, Tony Q. S. Quek:
Analysis of Age of Information in Non-terrestrial Networks. GLOBECOM (Workshops) 2023: 239-244 - [c20]Yafan Yang, Long Shi, Jun Li, Taotao Wang, Zhe Wang, Bin Cao, Chuan Ma:
Blockchain-aided Cooperative Spectrum Sensing: Decentralized Reputation Management and Performance Optimization. GLOBECOM 2023: 7273-7278 - [c19]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 - [c18]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 - [c17]Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu:
Consistency of Multiple Kernel Clustering. ICML 2023: 20650-20676 - [c16]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 - [i26]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) - [i25]Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai:
RARE: Robust Masked Graph Autoencoder. CoRR abs/2304.01507 (2023) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]Yanwu Lu, Howard H. Yang, Nikolaos Pappas, Giovanni Geraci, Chuan Ma, Tony Q. S. Quek:
Analysis of Age of Information in Non-terrestrial Networks. CoRR abs/2310.03969 (2023) - [i19]Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Tao Xiang:
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction. CoRR abs/2312.00855 (2023) - [i18]Fangming Zhao, Nikolaos Pappas, Chuan Ma, Xinghua Sun, Tony Q. S. Quek, Howard H. Yang:
Age-Threshold Slotted ALOHA for Optimizing Information Freshness in Mobile Networks. CoRR abs/2312.10888 (2023) - 2022
- [j17]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) - [j16]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) - [j15]Xin Cheng, Tingting Liu, Feng Shu, Chuan Ma, Jun Li, Jiangzhou Wang:
Providing Location Information at Edge Networks: A Federated Learning-Based Approach. IEEE Netw. 36(5): 114-120 (2022) - [j14]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) - [j13]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) - [j12]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) - [j11]Xin Cheng, Chuan Ma, Jun Li, Haiwei Song, Feng Shu, Jiangzhou Wang:
Federated Learning-Based Localization With Heterogeneous Fingerprint Database. IEEE Wirel. Commun. Lett. 11(7): 1364-1368 (2022) - [c15]Fengyuan Qiu, Hao Yang, Lu Zhou, Chuan Ma, Liming Fang:
Privacy Preserving Federated Learning Using CKKS Homomorphic Encryption. WASA (1) 2022: 427-440 - [i17]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) - [i16]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) - [i15]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) - [i14]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) - 2021
- [j10]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) - [c14]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 - [i13]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) - [i12]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) - [i11]Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor:
Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design. CoRR abs/2105.06256 (2021) - [i10]Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor:
On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels. CoRR abs/2105.14708 (2021) - [i9]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. CoRR abs/2106.13039 (2021) - 2020
- [j9]Chuan Ma, Jun Li, Ming Ding, Howard H. Yang, Feng Shu, Tony Q. S. Quek, H. Vincent Poor:
On Safeguarding Privacy and Security in the Framework of Federated Learning. IEEE Netw. 34(4): 242-248 (2020) - [j8]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor:
Federated Learning With Differential Privacy: Algorithms and Performance Analysis. IEEE Trans. Inf. Forensics Secur. 15: 3454-3469 (2020) - [i8]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor:
Performance Analysis and Optimization in Privacy-Preserving Federated Learning. CoRR abs/2003.00229 (2020) - [i7]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. CoRR abs/2007.02056 (2020) - [i6]Chuan Ma, Jun Li, Ming Ding, Long Shi, Taotao Wang, Zhu Han, H. Vincent Poor:
When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm. CoRR abs/2009.09338 (2020) - [i5]Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han, H. Vincent Poor:
Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients. CoRR abs/2012.02044 (2020)
2010 – 2019
- 2019
- [j7]Peng Cheng, Chuan Ma, Ming Ding, Yongjun Hu, Zihuai Lin, Yonghui Li, Branka Vucetic:
Localized Small Cell Caching: A Machine Learning Approach Based on Rating Data. IEEE Trans. Commun. 67(2): 1663-1676 (2019) - [i4]Chuan Ma, Jun Li, Ming Ding, Howard Hao Yang, Feng Shu, Tony Q. S. Quek, H. Vincent Poor:
On Safeguarding Privacy and Security in the Framework of Federated Learning. CoRR abs/1909.06512 (2019) - [i3]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor:
Federated Learning with Differential Privacy: Algorithms and Performance Analysis. CoRR abs/1911.00222 (2019) - 2018
- [b1]Chuan Ma:
Distributed Resource Allocation and Performance Analysis in 5G Wireless Cellular Networks. University of Sydney, Australia, 2018 - [j6]Chuan Ma, Ming Ding, David López-Pérez, Zihuai Lin, Jun Li, Guoqiang Mao:
Performance Analysis of the Idle Mode Capability in a Dense Heterogeneous Cellular Network. IEEE Trans. Commun. 66(9): 3959-3973 (2018) - [j5]Chuan Ma, Ming Ding, He Chen, Zihuai Lin, Guoqiang Mao, Ying-Chang Liang, Branka Vucetic:
Socially Aware Caching Strategy in Device-to-Device Communication Networks. IEEE Trans. Veh. Technol. 67(5): 4615-4629 (2018) - [c13]Chang Liu, Ming Ding, Chuan Ma, Qingzhi Li, Zihuai Lin, Ying-Chang Liang:
Performance Analysis for Practical Unmanned Aerial Vehicle Networks with LoS/NLoS Transmissions. ICC Workshops 2018: 1-6 - [c12]Qingzhi Li, Ming Ding, Chuan Ma, Chang Liu, Zihuai Lin, Ying-Chang Liang:
A Reinforcement Learning Based User Association Algorithm for UAV Networks. ITNAC 2018: 1-6 - [c11]Chuan Ma, Ming Ding, He Chen, Zihuai Lin, Guoqiang Mao, David López-Pérez:
On the performance of multi-tier heterogeneous cellular networks with idle mode capability. WCNC 2018: 1-6 - [i2]Chang Liu, Ming Ding, Chuan Ma, Qingzhi Li, Zihuai Lin, Ying-Chang Liang:
Performance Analysis for Practical Unmanned Aerial Vehicle Networks with LoS/NLoS Transmissions. CoRR abs/1804.00811 (2018) - 2017
- [i1]Chuan Ma, Ming Ding, He Chen, Zihuai Lin, Guoqiang Mao, David López-Pérez:
On the Performance of Multi-tier Heterogeneous Cellular Networks with Idle Mode Capability. CoRR abs/1704.02176 (2017) - 2016
- [j4]Chuan Ma, Yuqing Li, Hui Yu, Xiaoying Gan, Xinbing Wang, Yong Ren, Jun (Jim) Xu:
Cooperative Spectrum Sharing in D2D-Enabled Cellular Networks. IEEE Trans. Commun. 64(10): 4394-4408 (2016) - [j3]Chuan Ma, Weijie Wu, Ying Cui, Xinbing Wang:
On the performance of interference cancelation in D2D-enabled cellular networks. Wirel. Commun. Mob. Comput. 16(16): 2619-2635 (2016) - [c10]Chuan Ma, Ming Ding, He Chen, Zihuai Lin, Guoqiang Mao, Xu Li:
Socially Aware Distributed Caching in Device-to-Device Communication Networks. GLOBECOM Workshops 2016: 1-6 - [c9]Chuan Ma, Zihuai Lin, Loris Marini, Jun Li, Branka Vucetic:
Learning automaton based distributed caching for mobile social networks. WCNC 2016: 1-6 - 2015
- [j2]Chuan Ma, Jiaqi Liu, Xiaohua Tian, Hui Yu, Ying Cui, Xinbing Wang:
Interference Exploitation in D2D-Enabled Cellular Networks: A Secrecy Perspective. IEEE Trans. Commun. 63(1): 229-242 (2015) - [c8]Chuan Ma, Weijie Wu, Ying Cui, Xinbing Wang:
On the performance of successive interference cancellation in D2D-enabled cellular networks. INFOCOM 2015: 37-45 - 2013
- [j1]Jianting Yue, Chuan Ma, Hui Yu, Wei Zhou:
Secrecy-Based Access Control for Device-to-Device Communication Underlaying Cellular Networks. IEEE Commun. Lett. 17(11): 2068-2071 (2013) - [c7]Chuan Ma, Gaofei Sun, Xiaohua Tian, Kai Ying, Hui Yu, Xinbing Wang:
Cooperative relaying schemes for device-to-device communication underlaying cellular networks. GLOBECOM 2013: 3890-3895 - [c6]Jianting Yue, Chuan Ma, Hui Yu, Zhen Yang, Xiaoying Gan:
Secrecy-based channel assignment for device-to-device communication: An auction approach. WCSP 2013: 1-6 - [c5]Wei Zhou, Changcheng Ren, Chuan Ma, Hui Yu, Hanwen Luo, Xiaoying Gan, Wang Xi:
Multicast/broadcast service in integrated VANET-cellular heterogeneous wireless networks. WCSP 2013: 1-6 - 2012
- [c4]Chuan Ma, Rui Yin, Guanding Yu, Jietao Zhang:
Reference signal power control for load balancing in downlink LTE-A self-organizing networks. PIMRC 2012: 460-464 - [c3]Chuan Ma, Guanding Yu, Jietao Zhang:
Inter-Tier Handover in Macrocell/Relay/Femtocell Heterogeneous Networks. VTC Spring 2012: 1-5 - 2011
- [c2]Chuan Ma, Guanding Yu, Jietao Zhang:
A node grouping algorithm for joint relay selection and resource allocation in cooperative cognitive radio networks. WCSP 2011: 1-5 - 2010
- [c1]Qiming Tian, Chuan Ma, Guanding Yu, Aiping Huang:
Analysis of cognitive radio spectrum access with finite primary users and infinite secondary users. WCSP 2010: 1-5
Coauthor Index
[j37] [j33] [j31] [j29] [c26] [c25] [c24] [i30] [j23] [j22] [j21] [j20] [j19] [j18] [c19] [c18] [c16] [i26] [i24] [i23] [i22] [i21] [i19] [j17] [j16] [j14] [j13] [j12] [i17] [i16] [i15] [i14] [j10] [c14] [i13] [i12] [i11] [i10] [i9] [j9] [j8] [i8] [i7] [i6] [i5] [j7] [i4] [i3] [j6] [j5] [c13] [c12] [c11] [i2] [i1] [c10]