Meng Hao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 50

Top Topics

Graph Classification

Machine Learning

Expression Recognition

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

Meng Hao, Weiran Liu, Liqiang Peng, Hongwei Li, Cong Zhang, Hanxiao Chen, Tianwei Zhang
Unbalanced Circuit-PSI from Oblivious Key-Value Retrieval. USENIX Security Symposium (2024)
Meng Hao, Hanxiao Chen, Hongwei Li, Chenkai Weng, Yuan Zhang, Haomiao Yang, Tianwei Zhang
Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning. USENIX Security Symposium (2024)
Yanjun Liu, Hongwei Li, Meng Hao
SVFGNN: A privacy-preserving vertical federated graph neural network model training framework based on split learning. Peer Peer Netw. Appl. 17 (1) (2024)
Wenshu Fan, Hongwei Li, Wenbo Jiang, Meng Hao, Shui Yu, Xiao Zhang
Stealthy Targeted Backdoor Attacks against Image Captioning. CoRR (2024)
Meijie Fan, Limiao Xie, Zhiduo Bai, Meng Hao, Fengchao Yi, Wenjie Wang
Research and Application of Artificial Intelligence in Power Smart Constuction Site. CCEAI (2024)
Farui Wang, Meng Hao, Weizhe Zhang, Zheng Wang
Model-Free GPU Online Energy Optimization. IEEE Trans. Sustain. Comput. 9 (2) (2024)
Fan Zhenyao, Wang Lipeng, Meng Hao, Chunsheng Yang
Data-based deep reinforcement learning and active FTC for unmanned surface vehicles. J. Frankl. Inst. 361 (11) (2024)
Wenshu Fan, Hongwei Li, Wenbo Jiang, Meng Hao, Shui Yu, Xiao Zhang
Stealthy Targeted Backdoor Attacks Against Image Captioning. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Rui Zhang, Hongwei Li, Luoding Tian, Meng Hao, Yuan Zhang
Vertical Federated Learning Across Heterogeneous Regions for Industry 4.0. IEEE Trans. Ind. Informatics 20 (8) (2024)
Cong Zhang, Yu Chen, Weiran Liu, Liqiang Peng, Meng Hao, Anyu Wang, Xiaoyun Wang
Unbalanced Private Set Union with Reduced Computation and Communication. IACR Cryptol. ePrint Arch. 2024 (2024)
Pengzhi Xing, Hongwei Li, Meng Hao, Hanxiao Chen, Shengke Zeng
TriFSS: Secure Trigonometric Function Evaluation via Function Secret Sharing. ICC (2023)
Meng Hao, Fei Yuan, Jing Li, Yuting Sun
Facial expression recognition based on regional adaptive correlation. IET Comput. Vis. 17 (4) (2023)
Yanjun Liu, Hongwei Li, Xinyuan Qian, Meng Hao
ESA-FedGNN: Efficient secure aggregation for federated graph neural networks. Peer Peer Netw. Appl. 16 (2) (2023)
Yingzhe Wang, Hongwei Li, Hanxiao Chen, Xilin Zhang, Meng Hao
Practical and Privacy-Preserving Density-Based Clustering via Shuffling. GLOBECOM (2023)
Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Tianwei Zhang
FastSecNet: An Efficient Cryptographic Framework for Private Neural Network Inference. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Jia Hu, Hongwei Li, Hanxiao Chen, Meng Hao, Xilin Zhang
SecMath: An Efficient 2-Party Cryptographic Framework for Math Functions. ICC (2023)
Hui Zeng, Jingyuan Xue, Meng Hao, Chen Sun, Bin Ning, Na Zhang
Evaluating the Generation Capabilities of Large Chinese Language Models. CoRR (2023)
Yiyao Liu, Hongwei Li, Meng Hao, Xilin Zhang, Guiqiang Hu
Privacy-Preserving and Verifiable Outsourcing Inference Against Malicious Servers. GLOBECOM (2023)
Junze Yang, Hongwei Li, Wenshu Fan, Xilin Zhang, Meng Hao
Membership Inference Attacks Against the Graph Classification. GLOBECOM (2023)
Shuai Yuan, Hongwei Li, Xinyuan Qian, Meng Hao, Yixiao Zhai, Xiaolong Cui
Toward Efficient and End-to-End Privacy-Preserving Distributed Gradient Boosting Decision Trees. ICC (2023)
Hanxiao Chen, Hongwei Li, Yingzhe Wang, Meng Hao, Guowen Xu, Tianwei Zhang
PriVDT: An Efficient Two-Party Cryptographic Framework for Vertical Decision Trees. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Shiqian Zhao, Kangjie Chen, Meng Hao, Jian Zhang, Guowen Xu, Hongwei Li, Tianwei Zhang
Extracting Cloud-based Model with Prior Knowledge. CoRR (2023)
Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang
GuardHFL: Privacy Guardian for Heterogeneous Federated Learning. ICML (2023)
Meng Hao, Weiran Liu, Liqiang Peng, Hongwei Li, Cong Zhang, Hanxiao Chen, Tianwei Zhang
Unbalanced Circuit-PSI from Oblivious Key-Value Retrieval. IACR Cryptol. ePrint Arch. 2023 (2023)
Xinyuan Qian, Hongwei Li, Meng Hao, Shuai Yuan, Xilin Zhang, Song Guo
CryptoFE: Practical and Privacy-Preserving Federated Learning via Functional Encryption. GLOBECOM (2022)
Farui Wang, Weizhe Zhang, Shichao Lai, Meng Hao, Zheng Wang
Dynamic GPU Energy Optimization for Machine Learning Training Workloads. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Yanjun Liu, Xinyuan Qian, Hongwei Li, Meng Hao, Song Guo
Fast Secure Aggregation for Privacy-Preserving Federated Learning. GLOBECOM (2022)
Xue Bai, Meng Hao, Mengting Hu, Liu Yang
Big Data Analysis of Water Saving Standard Based on Bibliometrics. J. Sensors 2022 (2022)
Rui Zhang, Hongwei Li, Meng Hao, Hanxiao Chen, Yuan Zhang
Secure Feature Selection for Vertical Federated Learning in eHealth Systems. ICC (2022)
Farui Wang, Weizhe Zhang, Shichao Lai, Meng Hao, Zheng Wang
Dynamic GPU Energy Optimization for Machine Learning Training Workloads. CoRR (2022)
Jieyu Xu, Hongwei Li, Jia Zeng, Meng Hao
Efficient and Privacy-Preserving Federated Learning with Irregular Users. ICC (2022)
Hanxiao Chen, Hongwei Li, Guishan Dong, Meng Hao, Guowen Xu, Xiaoming Huang, Zhe Liu
Practical Membership Inference Attack Against Collaborative Inference in Industrial IoT. IEEE Trans. Ind. Informatics 18 (1) (2022)
Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Guowen Xu, Tianwei Zhang
Iron: Private Inference on Transformers. NeurIPS (2022)
Yiming Wang, Weizhe Zhang, Meng Hao, Zheng Wang
Online Power Management for Multi-Cores: A Reinforcement Learning Based Approach. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
Zongqi Chen, Hongwei Li, Meng Hao, Guowen Xu
Enhanced Mixup Training: a Defense Method Against Membership Inference Attack. ISPEC (2021)
Meng Hao, Hongwei Li, Guowen Xu, Hanxiao Chen, Tianwei Zhang
Efficient, Private and Robust Federated Learning. ACSAC (2021)
Meng Hao, Weizhe Zhang, Yiming Wang, Gangzhao Lu, Farui Wang, Athanasios V. Vasilakos
Fine-Grained Powercap Allocation for Power-Constrained Systems Based on Multi-Objective Machine Learning. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
Shuai Yuan, Hongwei Li, Rui Zhang, Meng Hao, Yiran Li, Rongxing Lu
Towards Lightweight and Efficient Distributed Intrusion Detection Framework. GLOBECOM (2021)
Farui Wang, Weizhe Zhang, Haonan Guo, Meng Hao, Gangzhao Lu, Zheng Wang
Automatic translation of data parallel programs for heterogeneous parallelism through OpenMP offloading. J. Supercomput. 77 (5) (2021)
Meng Hao, Hongwei Li, Guowen Xu, Zhe Liu, Zongqi Chen
Privacy-aware and Resource-saving Collaborative Learning for Healthcare in Cloud Computing. ICC (2020)
Rui Zhou, Mingjie Tang, Ziyuan Gong, Meng Hao
FreeTrack: Device-Free Human Tracking With Deep Neural Networks and Particle Filtering. IEEE Syst. J. 14 (2) (2020)
Meng Hao, Hongwei Li, Xizhao Luo, Guowen Xu, Haomiao Yang, Sen Liu
Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence. IEEE Trans. Ind. Informatics 16 (10) (2020)
Meng Hao, Weizhe Zhang, Yiming Wang, Dong Li, Wen Xia, Hao Wang, Chen Lou
Multi-Parameter Performance Modeling Based on Machine Learning with Basic Block Features. ISPA/BDCloud/SocialCom/SustainCom (2019)
Meng Hao, Weizhe Zhang, You Zhang, Marc Snir, Laurence T. Yang
Automatic generation of benchmarks for I/O-intensive parallel applications. J. Parallel Distributed Comput. 124 (2019)
Meng Hao, Hongwei Li, Guowen Xu, Sen Liu, Haomiao Yang
Towards Efficient and Privacy-Preserving Federated Deep Learning. ICC (2019)
Meng Hao, Weizhe Zhang, Laurence Tianruo Yang
PROFPRED: A Compiler-Level IR Based Performance Prediction Framework for MPI Industrial Applications. HPCC/SmartCity/DSS (2019)
Rui Zhou, Meng Hao, Xiang Lu, Mingjie Tang, Yang Fu
Device-Free Localization Based on CSI Fingerprints and Deep Neural Networks. SECON (2018)
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
knnAUC: an open-source R package for detecting nonlinear dependence between one continuous variable and one binary variable. BMC Bioinform. 19 (1) (2018)
Weizhe Zhang, Meng Hao, Marc Snir
Predicting HPC parallel program performance based on LLVM compiler. Clust. Comput. 20 (2) (2017)
Weizhe Zhang, Meng Hao, Zhiyong Xu
Communication optimization for RDMA-based science data transmission tools. J. Supercomput. 72 (9) (2016)