Publications

• Y. Ma, Y. Wu, and J. Ge, Accountability and Privacy in Network Security, Springer, ISBN: 978-981-15-6574-8, 2020. (Monograph)

• Y. Ma, Z. Li, H. Xue, and J. Chang, “A balanced supervised contrastive learning-based method for encrypted network traffic classification,”. Computers & Security, vol. 145, p. 104023, 2024. (SCI，IF: 4.8) Paper

• K. Zhang, Y. Ma, Y. Wu, T. Chen, and H. Ma, “Adaptive Splitting Algorithm for Neural Network Modelling in AMP,” in IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2023, pp. 199-206. (EI, CCF)

• L. Song, Z. Zhao, Y. Ma, Y. Liu, and J. Li, “Global-Aware Attention Network for Multi-modal Sarcasm Detection,” in IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2023, pp.2409-2414. (EI, CCF)

• J. Qu, F. Liu, and Y. Ma, “A dual encoder DAE neural network for imbalanced binary classification based on NSGA-III and GAN,”. Pattern Analysis and Applications, vol. 25, p. 17–34, 2022. (SCI，IF: 2.58) Paper

• L. Zhang, X. Chen, and Y. Ma, “A Handover Scheme Based on Mobility Prediction for Autonomous Moving Platforms in 5G Networks,” in International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2022, pp. 104-109. (EI)

• Y. Wu, Z. Wang, Y. Ma, and V. Leung, “Deep reinforcement learning for blockchain in industrial IoT: A survey,” Computer Networks, vol. 191, p. 108004, 2021. (SCI，IF: 3.111) Paper

• Y. Wu, Y. Ma, H.-N. Dai, and H. Wang, “Deep learning for privacy preservation in autonomous moving platforms enhanced 5G heterogeneous networks,” Computer Networks, vol. 185, p. 107743, 2021. (SCI，IF: 3.111) Paper

• L. Zhang, Y. Huo, Q. Ge, Y. Ma, Q. Liu, and W. Ouyang, “A Privacy Protection Scheme for IoT Big Data Based on Time and Frequency Limitation,” Wireless Communications and Mobile Computing, vol. 2021, 5545648, 2021. (SCI，IF:2.336) Paper

• Y. Ma, X. Chen, and L. Zhang, “Base Station handover Based on User Trajectory Prediction in 5G Networks,” in IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2021, pp. 1476-1482. (EI, CCF)

• Y. Liu, Y. Ma, J. Gao, Z. Zhao, and J. Li, “Coupled Self-Exciting Process for Information Diffusion Prediction Coupled Self-Exciting Process for Information Diffusion Prediction,” in IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2021, pp. 1394-1401. (EI, CCF)

• Y. Ma, Y. Wu, J. Li, and J. Ge, “APCN: A Scalable Architecture for Balancing Accountability and Privacy in Large-Scale Content-Based Networks,” Information Sciences, vol. 527, pp. 511-532, 2020. (SCI，IF: 5.524) Paper

• Z. Yao, J. Ge, Y. Wu, X. Lin, R. He, and Y. Ma, “Encrypted traffic classification based on Gaussian mixture models and Hidden Markov Models,” Journal of Network and Computer Applications, vol. 166, pp. 102711, 2020. (SCI，IF: 5.273) Paper

• Y. Ma, Y. Wu, J. Ge, and J. Li, “A Flow-Level Architecture for Balancing Accountability and Privacy,” in IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2018, pp. 984–989. (EI, CCF)

• Y. Ma, Y. Wu, J. Li, and J. Ge, “A New Architecture for Distributed Computing in Named Data Networking,” in IEEE International Conference on High Performance Computing and Communications (HPCC). IEEE, 2018, pp. 474–479. (EI, CCF)

• Y. Ma, Y. Wu, J. Ge, and J. Li, “A New Architecture for Anonymous Use of Services in Distributed Computing Networks,” in IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2017, pp. 368–374. (EI, CCF)