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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j26]Zheng Liu, Meng Hao, Weizhe Zhang, Gangzhao Lu, Xueyang Tian, Siyu Yang, Mingdong Xie, Jie Dai, Chenyu Yuan, Desheng Wang, Hongwei Yang:
Optimizing depthwise separable convolution on DCU. CCF Trans. High Perform. Comput. 6(6): 646-664 (2024)- [j25]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): 106960 (2024) - [j24]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): 246-260 (2024) - [j23]Xinyuan Qian, Hongwei Li, Meng Hao, Guowen Xu, Haoyong Wang, Yuguang Fang:
Decentralized Multi-Client Functional Encryption for Inner Product With Applications to Federated Learning. IEEE Trans. Dependable Secur. Comput. 21(6): 5781-5796 (2024) - [j22]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: 5655-5667 (2024) - [j21]Hanxiao Chen, Hongwei Li, Meng Hao, Jia Hu, Guowen Xu, Xilin Zhang, Tianwei Zhang:
SecBNN: Efficient Secure Inference on Binary Neural Networks. IEEE Trans. Inf. Forensics Secur. 19: 10273-10286 (2024) - [j20]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): 10145-10155 (2024) - [j19]Shuai Yuan, Hongwei Li, Xinyuan Qian, Meng Hao, Yixiao Zhai, Guowen Xu:
Efficient and Privacy-Preserving Outsourcing of Gradient Boosting Decision Tree Inference. IEEE Trans. Serv. Comput. 17(5): 2334-2348 (2024) - [j18]Farui Wang, Meng Hao, Weizhe Zhang, Zheng Wang:
Model-Free GPU Online Energy Optimization. IEEE Trans. Sustain. Comput. 9(2): 141-154 (2024) - [j17]Yiming Wang, Meng Hao, Hui He, Weizhe Zhang, Qiuyuan Tang, Xiaoyang Sun, Zheng Wang:
DRLCAP: Runtime GPU Frequency Capping With Deep Reinforcement Learning. IEEE Trans. Sustain. Comput. 9(5): 712-726 (2024) - [c24]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: 7-12 - [c23]Cong Zhang, Yu Chen, Weiran Liu, Liqiang Peng, Meng Hao, Anyu Wang, Xiaoyun Wang:
Unbalanced Private Set Union with Reduced Computation and Communication. CCS 2024: 1434-1447 - [c22]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 - [c21]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 - [i7]Wenshu Fan, Hongwei Li, Wenbo Jiang, Meng Hao, Shui Yu, Xiao Zhang:
Stealthy Targeted Backdoor Attacks against Image Captioning. CoRR abs/2406.05874 (2024) - [i6]Wenbo Jiang, Jiaming He, Hongwei Li, Guowen Xu, Rui Zhang, Hanxiao Chen, Meng Hao, Haomiao Yang:
Combinational Backdoor Attack against Customized Text-to-Image Models. CoRR abs/2411.12389 (2024) - [i5]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: 1340 (2024) - 2023
- [j16]Meng Hao, Fei Yuan, Jing Li, Yuting Sun:
Facial expression recognition based on regional adaptive correlation. IET Comput. Vis. 17(4): 445-460 (2023) - [j15]Yanjun Liu, Hongwei Li, Xinyuan Qian, Meng Hao:
ESA-FedGNN: Efficient secure aggregation for federated graph neural networks. Peer Peer Netw. Appl. 16(2): 1257-1269 (2023) - [j14]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: 1006-1021 (2023) - [j13]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: 2569-2582 (2023) - [c20]Yingzhe Wang, Hongwei Li, Hanxiao Chen, Xilin Zhang, Meng Hao:
Practical and Privacy-Preserving Density-Based Clustering via Shuffling. GLOBECOM 2023: 50-55 - [c19]Yiyao Liu, Hongwei Li, Meng Hao, Xilin Zhang, Guiqiang Hu:
Privacy-Preserving and Verifiable Outsourcing Inference Against Malicious Servers. GLOBECOM 2023: 5001-5006 - [c18]Junze Yang, Hongwei Li, Wenshu Fan, Xilin Zhang, Meng Hao:
Membership Inference Attacks Against the Graph Classification. GLOBECOM 2023: 6729-6734 - [c17]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: 1566-1571 - [c16]Pengzhi Xing, Hongwei Li, Meng Hao, Hanxiao Chen, Shengke Zeng:
TriFSS: Secure Trigonometric Function Evaluation via Function Secret Sharing. ICC 2023: 1585-1590 - [c15]Jia Hu, Hongwei Li, Hanxiao Chen, Meng Hao, Xilin Zhang:
SecMath: An Efficient 2-Party Cryptographic Framework for Math Functions. ICC 2023: 1597-1602 - [c14]Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang:
GuardHFL: Privacy Guardian for Heterogeneous Federated Learning. ICML 2023: 4566-4584 - [i4]Shiqian Zhao, Kangjie Chen, Meng Hao, Jian Zhang, Guowen Xu, Hongwei Li, Tianwei Zhang:
Extracting Cloud-based Model with Prior Knowledge. CoRR abs/2306.04192 (2023) - [i3]Hui Zeng, Jingyuan Xue, Meng Hao, Chen Sun, Bin Ning, Na Zhang:
Evaluating the Generation Capabilities of Large Chinese Language Models. CoRR abs/2308.04823 (2023) - [i2]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: 1636 (2023) - 2022
- [j12]Xue Bai, Meng Hao, Mengting Hu, Liu Yang:
Big Data Analysis of Water Saving Standard Based on Bibliometrics. J. Sensors 2022: 1-9 (2022) - [j11]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): 477-487 (2022) - [j10]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): 751-764 (2022) - [j9]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): 2943-2954 (2022) - [c13]Xinyuan Qian, Hongwei Li, Meng Hao, Shuai Yuan, Xilin Zhang, Song Guo:
CryptoFE: Practical and Privacy-Preserving Federated Learning via Functional Encryption. GLOBECOM 2022: 2999-3004 - [c12]Yanjun Liu, Xinyuan Qian, Hongwei Li, Meng Hao, Song Guo:
Fast Secure Aggregation for Privacy-Preserving Federated Learning. GLOBECOM 2022: 3017-3022 - [c11]Jieyu Xu, Hongwei Li, Jia Zeng, Meng Hao:
Efficient and Privacy-Preserving Federated Learning with Irregular Users. ICC 2022: 534-539 - [c10]Rui Zhang, Hongwei Li, Meng Hao, Hanxiao Chen, Yuan Zhang:
Secure Feature Selection for Vertical Federated Learning in eHealth Systems. ICC 2022: 1257-1262 - [c9]Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Guowen Xu, Tianwei Zhang:
Iron: Private Inference on Transformers. NeurIPS 2022 - [i1]Farui Wang, Weizhe Zhang, Shichao Lai, Meng Hao, Zheng Wang:
Dynamic GPU Energy Optimization for Machine Learning Training Workloads. CoRR abs/2201.01684 (2022) - 2021
- [j8]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): 4957-4987 (2021) - [j7]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): 1789-1801 (2021) - [c8]Meng Hao, Hongwei Li, Guowen Xu, Hanxiao Chen, Tianwei Zhang:
Efficient, Private and Robust Federated Learning. ACSAC 2021: 45-60 - [c7]Shuai Yuan, Hongwei Li, Rui Zhang, Meng Hao, Yiran Li, Rongxing Lu:
Towards Lightweight and Efficient Distributed Intrusion Detection Framework. GLOBECOM 2021: 1-6 - [c6]Zongqi Chen, Hongwei Li, Meng Hao, Guowen Xu:
Enhanced Mixup Training: a Defense Method Against Membership Inference Attack. ISPEC 2021: 32-45 - 2020
- [j6]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): 2990-3000 (2020) - [j5]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): 6532-6542 (2020) - [c5]Meng Hao, Hongwei Li, Guowen Xu, Zhe Liu, Zongqi Chen:
Privacy-aware and Resource-saving Collaborative Learning for Healthcare in Cloud Computing. ICC 2020: 1-6
2010 – 2019
- 2019
- [j4]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: 1-13 (2019) - [c4]Meng Hao, Weizhe Zhang, Laurence Tianruo Yang:
PROFPRED: A Compiler-Level IR Based Performance Prediction Framework for MPI Industrial Applications. HPCC/SmartCity/DSS 2019: 443-451 - [c3]Meng Hao, Hongwei Li, Guowen Xu, Sen Liu, Haomiao Yang:
Towards Efficient and Privacy-Preserving Federated Deep Learning. ICC 2019: 1-6 - [c2]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: 316-323 - 2018
- [j3]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): 448:1-448:12 (2018) - [c1]Rui Zhou, Meng Hao, Xiang Lu, Mingjie Tang, Yang Fu:
Device-Free Localization Based on CSI Fingerprints and Deep Neural Networks. SECON 2018: 226-234 - 2017
- [j2]Weizhe Zhang, Meng Hao, Marc Snir:
Predicting HPC parallel program performance based on LLVM compiler. Clust. Comput. 20(2): 1179-1192 (2017) - 2016
- [j1]Weizhe Zhang, Meng Hao, Zhiyong Xu:
Communication optimization for RDMA-based science data transmission tools. J. Supercomput. 72(9): 3312-3327 (2016)
Coauthor Index
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