Xiu Ma

Orcid: 0000-0003-0119-6351

According to our database1, Xiu Ma authored at least 18 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
BehaMiner: System Behavior Mining for Audit Log Based on Graph Learning.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

2023
TGPrint: Attack fingerprint classification on encrypted network traffic based graph convolution attention networks.
Comput. Secur., December, 2023

CoAxNN: Optimizing on-device deep learning with conditional approximate neural networks.
J. Syst. Archit., October, 2023

Facilitating hardware-aware neural architecture search with learning-based predictive models.
J. Syst. Archit., April, 2023

2022
Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning.
J. Syst. Archit., 2022

FlexPDA: A Flexible Programming Framework for Deep Learning Accelerators.
J. Comput. Sci. Technol., 2022

Accelerating deep neural network filter pruning with mask-aware convolutional computations on modern CPUs.
Neurocomputing, 2022

A Software Security Entity Relationships Prediction Framework Based on Knowledge Graph Embedding Using Sentence-Bert.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

SeqA-ITD: User Behavior Sequence Augmentation for Insider Threat Detection at Multiple Time Granularities.
Proceedings of the International Joint Conference on Neural Networks, 2022

CyEvent2vec: Attributed Heterogeneous Information Network based Event Embedding Framework for Cyber Security Events Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Understanding the Runtime Overheads of Deep Learning Inference on Edge Devices.
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.
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.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Lance: efficient low-precision quantized winograd convolution for neural networks based on graphics processing units.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Positive Data Modeling Using a Mixture of Mixtures of Inverted Beta Distributions.
IEEE Access, 2019

XDN: Towards Efficient Inference of Residual Neural Networks on Cambricon Chips.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

2017
An efficient time-splitting compact finite difference method for Gross-Pitaevskii equation.
Appl. Math. Comput., 2017

2016
An efficient implementation of fourth-order compact finite difference scheme for Poisson equation with Dirichlet boundary conditions.
Comput. Math. Appl., 2016


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