Meng Hao
Orcid: 0009-0002-4405-9162
According to our database1,
Meng Hao
authored at least 51 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Ind. Informatics, August, 2024
SVFGNN: A privacy-preserving vertical federated graph neural network model training framework based on split learning.
Peer Peer Netw. Appl., January, 2024
IEEE Trans. Sustain. Comput., 2024
Efficient and Privacy-Preserving Outsourcing of Gradient Boosting Decision Tree Inference.
IEEE Trans. Serv. Comput., 2024
IEEE Trans. Inf. Forensics Secur., 2024
IEEE Trans. Inf. Forensics Secur., 2024
Decentralized Multi-Client Functional Encryption for Inner Product With Applications to Federated Learning.
IEEE Trans. Dependable Secur. Comput., 2024
J. Frankl. Inst., 2024
IACR Cryptol. ePrint Arch., 2024
Proceedings of the 33rd USENIX Security Symposium, 2024
Proceedings of the 2024 8th International Conference on Control Engineering and Artificial Intelligence, 2024
2023
IET Comput. Vis., June, 2023
Peer Peer Netw. Appl., March, 2023
FastSecNet: An Efficient Cryptographic Framework for Private Neural Network Inference.
IEEE Trans. Inf. Forensics Secur., 2023
IEEE Trans. Inf. Forensics Secur., 2023
IACR Cryptol. ePrint Arch., 2023
Proceedings of the International Conference on Machine Learning, 2023
Toward Efficient and End-to-End Privacy-Preserving Distributed Gradient Boosting Decision Trees.
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Parallel Distributed Syst., 2022
Practical Membership Inference Attack Against Collaborative Inference in Industrial IoT.
IEEE Trans. Ind. Informatics, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE International Conference on Communications, 2022
CryptoFE: Practical and Privacy-Preserving Federated Learning via Functional Encryption.
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the IEEE Global Communications Conference, 2022
2021
Fine-Grained Powercap Allocation for Power-Constrained Systems Based on Multi-Objective Machine Learning.
IEEE Trans. Parallel Distributed Syst., 2021
Automatic translation of data parallel programs for heterogeneous parallelism through OpenMP offloading.
J. Supercomput., 2021
Proceedings of the Information Security Practice and Experience: 16th International Conference, 2021
Proceedings of the IEEE Global Communications Conference, 2021
Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021
2020
Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence.
IEEE Trans. Ind. Informatics, 2020
FreeTrack: Device-Free Human Tracking With Deep Neural Networks and Particle Filtering.
IEEE Syst. J., 2020
Privacy-aware and Resource-saving Collaborative Learning for Healthcare in Cloud Computing.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
2019
J. Parallel Distributed Comput., 2019
Multi-Parameter Performance Modeling Based on Machine Learning with Basic Block Features.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
PROFPRED: A Compiler-Level IR Based Performance Prediction Framework for MPI Industrial Applications.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
2018
knnAUC: an open-source R package for detecting nonlinear dependence between one continuous variable and one binary variable.
BMC Bioinform., 2018
Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018
2017
Clust. Comput., 2017
2016
J. Supercomput., 2016