Meng Hao

According to our database, Meng Hao authored at least 49 papers between 2016 and 2024.

Collaborative distances:

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

2024

Vertical Federated Learning Across Heterogeneous Regions for Industry 4.0.

Rui Zhang, Hongwei Li, Luoding Tian, Meng Hao, Yuan Zhang

IEEE Trans. Ind. Informatics, August, 2024

SVFGNN: A privacy-preserving vertical federated graph neural network model training framework based on split learning.

Yanjun Liu, Hongwei Li, Meng Hao

Peer Peer Netw. Appl., January, 2024

Model-Free GPU Online Energy Optimization.

Farui Wang, Meng Hao, Weizhe Zhang, Zheng Wang

IEEE Trans. Sustain. Comput., 2024

DRLCAP: Runtime GPU Frequency Capping With Deep Reinforcement Learning.

Yiming Wang, Meng Hao, Hui He, Weizhe Zhang, Qiuyuan Tang, Xiaoyang Sun, Zheng Wang

IEEE Trans. Sustain. Comput., 2024

Efficient and Privacy-Preserving Outsourcing of Gradient Boosting Decision Tree Inference.

Shuai Yuan, Hongwei Li, Xinyuan Qian, Meng Hao, Yixiao Zhai, Guowen Xu

IEEE Trans. Serv. Comput., 2024

Stealthy Targeted Backdoor Attacks Against Image Captioning.

Wenshu Fan, Hongwei Li, Wenbo Jiang, Meng Hao, Shui Yu, Xiao Zhang

IEEE Trans. Inf. Forensics Secur., 2024

Data-based deep reinforcement learning and active FTC for unmanned surface vehicles.

Fan Zhenyao, Wang Lipeng, Meng Hao, Chunsheng Yang

J. Frankl. Inst., 2024

Unbalanced Private Set Union with Reduced Computation and Communication.

Cong Zhang, Yu Chen, Weiran Liu, Liqiang Peng, Meng Hao, Anyu Wang, Xiaoyun Wang

IACR Cryptol. ePrint Arch., 2024

Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning.

Meng Hao, Hanxiao Chen, Hongwei Li, Chenkai Weng, Yuan Zhang, Haomiao Yang, Tianwei Zhang

Proceedings of the 33rd USENIX Security Symposium, 2024

Research and Application of Artificial Intelligence in Power Smart Constuction Site.

Meijie Fan, Limiao Xie, Zhiduo Bai, Meng Hao, Fengchao Yi, Wenjie Wang

Proceedings of the 2024 8th International Conference on Control Engineering and Artificial Intelligence, 2024

2023

Facial expression recognition based on regional adaptive correlation.

Meng Hao, Fei Yuan, Jing Li, Yuting Sun

IET Comput. Vis., June, 2023

ESA-FedGNN: Efficient secure aggregation for federated graph neural networks.

Yanjun Liu, Hongwei Li, Xinyuan Qian, Meng Hao

Peer Peer Netw. Appl., March, 2023

FastSecNet: An Efficient Cryptographic Framework for Private Neural Network Inference.

Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Tianwei Zhang

IEEE Trans. Inf. Forensics Secur., 2023

PriVDT: An Efficient Two-Party Cryptographic Framework for Vertical Decision Trees.

Hanxiao Chen, Hongwei Li, Yingzhe Wang, Meng Hao, Guowen Xu, Tianwei Zhang

IEEE Trans. Inf. Forensics Secur., 2023

Unbalanced Circuit-PSI from Oblivious Key-Value Retrieval.

Meng Hao, Weiran Liu, Liqiang Peng, Hongwei Li, Cong Zhang, Hanxiao Chen, Tianwei Zhang

IACR Cryptol. ePrint Arch., 2023

Evaluating the Generation Capabilities of Large Chinese Language Models.

Hui Zeng, Jingyuan Xue, Meng Hao, Chen Sun, Bin Ning, Na Zhang

CoRR, 2023

Extracting Cloud-based Model with Prior Knowledge.

Shiqian Zhao, Kangjie Chen, Meng Hao, Jian Zhang, Guowen Xu, Hongwei Li, Tianwei Zhang

CoRR, 2023

GuardHFL: Privacy Guardian for Heterogeneous Federated Learning.

Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang

Proceedings of the International Conference on Machine Learning, 2023

Toward Efficient and End-to-End Privacy-Preserving Distributed Gradient Boosting Decision Trees.

Shuai Yuan, Hongwei Li, Xinyuan Qian, Meng Hao, Yixiao Zhai, Xiaolong Cui

Proceedings of the IEEE International Conference on Communications, 2023

TriFSS: Secure Trigonometric Function Evaluation via Function Secret Sharing.

Pengzhi Xing, Hongwei Li, Meng Hao, Hanxiao Chen, Shengke Zeng

Proceedings of the IEEE International Conference on Communications, 2023

SecMath: An Efficient 2-Party Cryptographic Framework for Math Functions.

Jia Hu, Hongwei Li, Hanxiao Chen, Meng Hao, Xilin Zhang

Proceedings of the IEEE International Conference on Communications, 2023

Membership Inference Attacks Against the Graph Classification.

Junze Yang, Hongwei Li, Wenshu Fan, Xilin Zhang, Meng Hao

Proceedings of the IEEE Global Communications Conference, 2023

Practical and Privacy-Preserving Density-Based Clustering via Shuffling.

Yingzhe Wang, Hongwei Li, Hanxiao Chen, Xilin Zhang, Meng Hao

Proceedings of the IEEE Global Communications Conference, 2023

Privacy-Preserving and Verifiable Outsourcing Inference Against Malicious Servers.

Yiyao Liu, Hongwei Li, Meng Hao, Xilin Zhang, Guiqiang Hu

Proceedings of the IEEE Global Communications Conference, 2023

2022

Dynamic GPU Energy Optimization for Machine Learning Training Workloads.

Farui Wang, Weizhe Zhang, Shichao Lai, Meng Hao, Zheng Wang

IEEE Trans. Parallel Distributed Syst., 2022

Online Power Management for Multi-Cores: A Reinforcement Learning Based Approach.

Yiming Wang, Weizhe Zhang, Meng Hao, Zheng Wang

IEEE Trans. Parallel Distributed Syst., 2022

Practical Membership Inference Attack Against Collaborative Inference in Industrial IoT.

Hanxiao Chen, Hongwei Li, Guishan Dong, Meng Hao, Guowen Xu, Xiaoming Huang, Zhe Liu

IEEE Trans. Ind. Informatics, 2022

Big Data Analysis of Water Saving Standard Based on Bibliometrics.

Xue Bai, Meng Hao, Mengting Hu, Liu Yang

J. Sensors, 2022

Iron: Private Inference on Transformers.

Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Guowen Xu, Tianwei Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Secure Feature Selection for Vertical Federated Learning in eHealth Systems.

Rui Zhang, Hongwei Li, Meng Hao, Hanxiao Chen, Yuan Zhang

Proceedings of the IEEE International Conference on Communications, 2022

Efficient and Privacy-Preserving Federated Learning with Irregular Users.

Jieyu Xu, Hongwei Li, Jia Zeng, Meng Hao

Proceedings of the IEEE International Conference on Communications, 2022

CryptoFE: Practical and Privacy-Preserving Federated Learning via Functional Encryption.

Xinyuan Qian, Hongwei Li, Meng Hao, Shuai Yuan, Xilin Zhang, Song Guo

Proceedings of the IEEE Global Communications Conference, 2022

Fast Secure Aggregation for Privacy-Preserving Federated Learning.

Yanjun Liu, Xinyuan Qian, Hongwei Li, Meng Hao, Song Guo

Proceedings of the IEEE Global Communications Conference, 2022

2021

Fine-Grained Powercap Allocation for Power-Constrained Systems Based on Multi-Objective Machine Learning.

Meng Hao, Weizhe Zhang, Yiming Wang, Gangzhao Lu, Farui Wang, Athanasios V. Vasilakos

IEEE Trans. Parallel Distributed Syst., 2021

Automatic translation of data parallel programs for heterogeneous parallelism through OpenMP offloading.

Farui Wang, Weizhe Zhang, Haonan Guo, Meng Hao, Gangzhao Lu, Zheng Wang

J. Supercomput., 2021

Enhanced Mixup Training: a Defense Method Against Membership Inference Attack.

Zongqi Chen, Hongwei Li, Meng Hao, Guowen Xu

Proceedings of the Information Security Practice and Experience: 16th International Conference, 2021

Towards Lightweight and Efficient Distributed Intrusion Detection Framework.

Shuai Yuan, Hongwei Li, Rui Zhang, Meng Hao, Yiran Li, Rongxing Lu

Proceedings of the IEEE Global Communications Conference, 2021

Efficient, Private and Robust Federated Learning.

Meng Hao, Hongwei Li, Guowen Xu, Hanxiao Chen, Tianwei Zhang

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.

Meng Hao, Hongwei Li, Xizhao Luo, Guowen Xu, Haomiao Yang, Sen Liu

IEEE Trans. Ind. Informatics, 2020

FreeTrack: Device-Free Human Tracking With Deep Neural Networks and Particle Filtering.

Rui Zhou, Mingjie Tang, Ziyuan Gong, Meng Hao

IEEE Syst. J., 2020

Privacy-aware and Resource-saving Collaborative Learning for Healthcare in Cloud Computing.

Meng Hao, Hongwei Li, Guowen Xu, Zhe Liu, Zongqi Chen

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

Automatic generation of benchmarks for I/O-intensive parallel applications.

Meng Hao, Weizhe Zhang, You Zhang, Marc Snir, Laurence T. Yang

J. Parallel Distributed Comput., 2019

Multi-Parameter Performance Modeling Based on Machine Learning with Basic Block Features.

Meng Hao, Weizhe Zhang, Yiming Wang, Dong Li, Wen Xia, Hao Wang, Chen Lou

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Towards Efficient and Privacy-Preserving Federated Deep Learning.

Meng Hao, Hongwei Li, Guowen Xu, Sen Liu, Haomiao Yang

Proceedings of the 2019 IEEE International Conference on Communications, 2019

PROFPRED: A Compiler-Level IR Based Performance Prediction Framework for MPI Industrial Applications.

Meng Hao, Weizhe Zhang, Laurence Tianruo Yang

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.

Yi Li, Xiaoyu Liu, Yanyun Ma, Yi Wang, Weichen Zhou, Meng Hao, Zhenghong Yuan, Jie Liu, Momiao Xiong, Yin Yao Shugart, Jiucun Wang, Li Jin

BMC Bioinform., 2018

Device-Free Localization Based on CSI Fingerprints and Deep Neural Networks.

Rui Zhou, Meng Hao, Xiang Lu, Mingjie Tang, Yang Fu

Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

2017

Predicting HPC parallel program performance based on LLVM compiler.

Weizhe Zhang, Meng Hao, Marc Snir

Clust. Comput., 2017

2016

Communication optimization for RDMA-based science data transmission tools.

Weizhe Zhang, Meng Hao, Zhiyong Xu

J. Supercomput., 2016