Xiu Ma

According to our database, Xiu Ma authored at least 17 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

TGPrint: Attack fingerprint classification on encrypted network traffic based graph convolution attention networks.

Leiqi Wang, Xiu Ma, Ning Li, Qiujian Lv, Yan Wang, Weiqing Huang, Haiyan Chen

Comput. Secur., December, 2023

CoAxNN: Optimizing on-device deep learning with conditional approximate neural networks.

Guangli Li, Xiu Ma, Qiuchu Yu, Lei Liu, Huaxiao Liu, Xueying Wang

J. Syst. Archit., October, 2023

Facilitating hardware-aware neural architecture search with learning-based predictive models.

Xueying Wang, Guangli Li, Xiu Ma, Xiaobing Feng

J. Syst. Archit., April, 2023

2022

Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning.

Guangli Li, Xiu Ma, Xueying Wang, Hengshan Yue, Jiansong Li, Lei Liu, Xiaobing Feng, Jingling Xue

J. Syst. Archit., 2022

FlexPDA: A Flexible Programming Framework for Deep Learning Accelerators.

Xiu Ma, Huaxiao Liu, Guang-Li Li, Lei Liu

J. Comput. Sci. Technol., 2022

Accelerating deep neural network filter pruning with mask-aware convolutional computations on modern CPUs.

Xiu Ma, Guangli Li, Lei Liu, Huaxiao Liu, Xueying Wang

Neurocomputing, 2022

A Software Security Entity Relationships Prediction Framework Based on Knowledge Graph Embedding Using Sentence-Bert.

Yan Wang, Xiaowei Hou, Xiu Ma, Qiujian Lv

Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

SeqA-ITD: User Behavior Sequence Augmentation for Insider Threat Detection at Multiple Time Granularities.

Fangtao Zhang, Xiu Ma, Weiqing Huang

Proceedings of the International Joint Conference on Neural Networks, 2022

CyEvent2vec: Attributed Heterogeneous Information Network based Event Embedding Framework for Cyber Security Events Analysis.

Xiu Ma, Leiqi Wang, Qiujian Lv, Yan Wang, Qi Zhang, Jianguo Jiang

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Understanding the Runtime Overheads of Deep Learning Inference on Edge Devices.

Xiu Ma, Guangli Li, Lei Liu, Huaxiao Liu, Lei Liu, Xiaobing Feng

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Unleashing the Low-Precision Computation Potential of Tensor Cores on GPUs.

Guangli Li, Jingling Xue, Lei Liu, Xueying Wang, Xiu Ma, Xiao Dong, Jiansong Li, Xiaobing Feng

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

2020

Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices.

Guangli Li, Xiu Ma, Xueying Wang, Lei Liu, Jingling Xue, Xiaobing Feng

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Lance: efficient low-precision quantized winograd convolution for neural networks based on graphics processing units.

Guangli Li, Lei Liu, Xueying Wang, Xiu Ma, Xiaobing Feng

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Positive Data Modeling Using a Mixture of Mixtures of Inverted Beta Distributions.

Yuping Lai, Xiu Ma, Yanping Xu, Yongfa Ling, Chunlai Du, Jianhe Du, Yongmei Zhang, Yuan Ping

IEEE Access, 2019

XDN: Towards Efficient Inference of Residual Neural Networks on Cambricon Chips.

Guangli Li, Xueying Wang, Xiu Ma, Lei Liu, Xiaobing Feng

Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

2017

An efficient time-splitting compact finite difference method for Gross-Pitaevskii equation.

Hanquan Wang, Xiu Ma, Junliang Lu, Wen Gao

Appl. Math. Comput., 2017

2016

An efficient implementation of fourth-order compact finite difference scheme for Poisson equation with Dirichlet boundary conditions.

Hanquan Wang, Yong Zhang, Xiu Ma, Jun Qiu, Yan Liang

Comput. Math. Appl., 2016