Ke Pei

Orcid: 0000-0001-7554-5636

According to our database1, Ke Pei authored at least 21 papers between 2008 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Contradictions Identification of Safety and Security Requirements for Industrial Cyber-Physical Systems.
IEEE Internet Things J., April, 2024

2022
Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems.
IEEE Trans. Big Data, 2022

Monocular Vehicle 3D Bounding Box Estimation Using Homograhy and Geometry in Traffic Scene.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Label-Assisted Memory Autoencoder for Unsupervised Out-of-Distribution Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

MindFI: A Fault Injection Tool for Reliability Assessment of MindSpore Applicacions.
Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

Methods for deep learning model failure detection and model adaption: A survey.
Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles.
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

Adaptive Retraining for Neural Network Robustness in Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021

Cross-modal Matching CNN for Autonomous Driving Sensor Data Monitoring.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Statistical Certification of Acceptable Robustness for Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Monitoring perception reliability in autonomous driving: Distributional shift detection for estimating the impact of input data on prediction accuracy.
Proceedings of the CSCS '21: Computer Science in Cars Symposium, 2021

2020
An Intelligent Anomaly Detection Scheme for Micro-Services Architectures With Temporal and Spatial Data Analysis.
IEEE Trans. Cogn. Commun. Netw., 2020

Terminator: An Efficient and Light-weight Fault Localization Framework.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019
Stability analysis of nonlinear Hadamard fractional differential system.
J. Frankl. Inst., 2019

2018
Nonlocal Hadamard fractional boundary value problem with Hadamard integral and discrete boundary conditions on a half-line.
J. Comput. Appl. Math., 2018

Towards an Active Probing Extension for the ONOS SDN Controller.
Proceedings of the 28th International Telecommunication Networks and Applications Conference, 2018

Towards Experienced Anomaly Detector Through Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Successive iterations and positive extremal solutions for a Hadamard type fractional integro-differential equations on infinite domain.
Appl. Math. Comput., 2017

2010
Analysis of SOA-based middleware service layers for polynary resources SoC.
Proceedings of the 3rd International Conference on Information Sciences and Interaction Sciences (ICIS 2010), 2010

OS-Level IPC Implementation in Complementary Multi-processor Systems.
Proceedings of the 2010 Asia-Pacific Conference on Wearable Computing Systems, 2010

2008
Design of Boot Loader with Multiple Communication Port.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008


  Loading...