Weipeng Cao

Orcid: 0000-0003-2414-6066

According to our database1, Weipeng Cao authored at least 64 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Self-supervised adversarial adaptation network for breast cancer detection.
Eng. Appl. Artif. Intell., 2024

Hacker group identification based on dynamic heterogeneous graph node update.
Appl. Soft Comput., 2024

A Brief Review on Prediction Methods for Cloud Resource Management.
Proceedings of the 9th IEEE International Conference on Smart Cloud, 2024

MetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

WGGAL: A Practical Time Series Forecasting Framework for Dynamic Cloud Environments.
Proceedings of the Knowledge Science, Engineering and Management, 2024

DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Cop: Continuously Pairing of Heterogeneous Wearable Devices Based on Heartbeat.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Improving QoS of Workloads with CPU Pinning: A Deep Reinforcement Learning Approach.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

QoS Perception for Cloud Databases: Necessity, Trends, and Challenges.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Knowledge Distillation with Classmate.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023
Sustainable and Transferable Traffic Sign Recognition for Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., December, 2023

Graph embedding based multi-label Zero-shot Learning.
Neural Networks, October, 2023

Critical Classes and Samples Discovering for Partial Domain Adaptation.
IEEE Trans. Cybern., September, 2023

An attention-based automatic vulnerability detection approach with GGNN.
Int. J. Mach. Learn. Cybern., September, 2023

STI-Net: Spatiotemporal integration network for video saliency detection.
Inf. Sci., May, 2023

AdaDerivative optimizer: Adapting step-sizes by the derivative term in past gradient information.
Eng. Appl. Artif. Intell., March, 2023

A review on multimodal zero-shot learning.
WIREs Data. Mining. Knowl. Discov., 2023

DETR Based Prohibited Item Detection in X-ray Security Checking Images.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Level-Wise Band-Partition-Based Hierarchical Representation Residual Feature Learning for Hyperspectral Target Detection.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Back-propagation extreme learning machine.
Soft Comput., 2022

Runtime Assurance of Learning-Based Lane Changing Control for Autonomous Driving Vehicles.
J. Circuits Syst. Comput., 2022

MFF: Multi-modal feature fusion for zero-shot learning.
Neurocomputing, 2022

Dense deep stochastic configuration network with hybrid training mechanism.
Int. J. Comput. Sci. Math., 2022

Fuzziness based semi-supervised multimodal learning for patient's activity recognition using RGBDT videos.
Appl. Soft Comput., 2022

Automated Reliability Analysis of Redundancy Architectures Using Statistical Model Checking.
Proceedings of the Knowledge Science, Engineering and Management, 2022

W-Hash: A Novel Word Hash Clustering Algorithm for Large-Scale Chinese Short Text Analysis.
Proceedings of the Knowledge Science, Engineering and Management, 2022

A Novel RVFL-Based Algorithm Selection Approach for Software Model Checking.
Proceedings of the Knowledge Science, Engineering and Management, 2022

BLSHF: Broad Learning System with Hybrid Features.
Proceedings of the Knowledge Science, Engineering and Management, 2022

2021
Bidirectional stochastic configuration network for regression problems.
Neural Networks, 2021

A further study on biologically inspired feature enhancement in zero-shot learning.
Int. J. Mach. Learn. Cybern., 2021

AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations.
CoRR, 2021

A comparative study of neural network techniques for automatic software vulnerability detection.
CoRR, 2021

Charge Prediction for Criminal Law with Semantic Attributes.
Proceedings of the Smart Computing and Communication - 6th International Conference, 2021

Dense Incremental Extreme Learning Machine with Accelerating Amount and Proportional Integral Differential.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Interpretation of Learning-Based Automatic Source Code Vulnerability Detection Model Using LIME.
Proceedings of the Knowledge Science, Engineering and Management, 2021

PEBIID: Privacy-preserving and Efficient Biometric Identification for IoV DApp.
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

Domain Adaptive Semantic Segmentation via Image Translation and Representation Alignment.
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

Research on An Approach of ARP Flooding Suppression in Multi-Controller SDN Networks.
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

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

Target-oriented Self Training for Heterogeneous Domain Adaptation.
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

Semantic Auto-Encoder with L2-norm Constraint for Zero-Shot Learning.
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Algorithm selection for software verification based on adversarial LSTM.
Proceedings of the 7th IEEE International Conference on Big Data Security on Cloud, 2021

2020
A study on the relationship between the rank of input data and the performance of random weight neural network.
Neural Comput. Appl., 2020

A novel dataset-specific feature extractor for zero-shot learning.
Neurocomputing, 2020

Formal Analysis of 5G EAP-TLS Authentication Protocol Using Proverif.
IEEE Access, 2020

A Comparative Study of Neural Network Techniques for Automatic Software Vulnerability Detection.
Proceedings of the International Symposium on Theoretical Aspects of Software Engineering, 2020

Dense Broad Learning System based on Conjugate Gradient.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Dense Broad Learning System with Proportional Integral Differential and Adaptive Moment Estimation.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Broad Learning System with Proportional-Integral-Differential Gradient Descent.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

Distributed and Parallel Ensemble Classification for Big Data Based on Kullback-Leibler Random Sample Partition.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

Research Progress of Zero-Shot Learning Beyond Computer Vision.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning.
Proceedings of the 7th IEEE International Conference on Cyber Security and Cloud Computing, 2020

An Improved Fuzziness based Random Vector Functional Link Network for Liver Disease Detection.
Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020

Ensemble Neural Networks with Random Weights for Classification Problems.
Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2019
Improved bidirectional extreme learning machine based on enhanced random search.
Memetic Comput., 2019

Online Sequential Extreme Learning Machine With Dynamic Forgetting Factor.
IEEE Access, 2019

An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Non-iterative approaches in training feed-forward neural networks and their applications.
Soft Comput., 2018

Fuzziness-based online sequential extreme learning machine for classification problems.
Soft Comput., 2018

An initial study on the rank of input matrix for extreme learning machine.
Int. J. Mach. Learn. Cybern., 2018

A review on neural networks with random weights.
Neurocomputing, 2018

Random Orthogonal Projection Based Enhanced Bidirectional Extreme Learning Machine.
Proceedings of ELM 2018, 2018

2017
Impact of Probability Distribution Selection on RVFL Performance.
Proceedings of the Smart Computing and Communication, 2017


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