Weipeng Cao

According to our database, Weipeng Cao authored at least 58 papers between 2017 and 2024.

Collaborative distances:

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

2024

Self-supervised adversarial adaptation network for breast cancer detection.

Mahnoosh Torabi, Amir Hosein Rasouli, Q. M. Jonathan Wu, Weipeng Cao, Farhad Pourpanah

Eng. Appl. Artif. Intell., 2024

Hacker group identification based on dynamic heterogeneous graph node update.

Yijia Xu, Yong Fang, Cheng Huang, Zhonglin Liu, Weipeng Cao

Appl. Soft Comput., 2024

A Brief Review on Prediction Methods for Cloud Resource Management.

Chenxing Kuang, Yunyun Qiu, Weipeng Cao, Zhijiao Xiao, Zhong Ming

Proceedings of the 9th IEEE International Conference on Smart Cloud, 2024

MetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification.

Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhenru Chen, Xi Tao, Zhong Ming, Chuqing Cao, Liang Zheng

Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

2023

Sustainable and Transferable Traffic Sign Recognition for Intelligent Transportation Systems.

Weipeng Cao, Yuhao Wu, Chinmay Chakraborty, Dachuan Li, Liang Zhao, Soumya Kanti Ghosh

IEEE Trans. Intell. Transp. Syst., December, 2023

Graph embedding based multi-label Zero-shot Learning.

Haigang Zhang, Xianglong Meng, Weipeng Cao, Ye Liu, Zhong Ming, Jinfeng Yang

Neural Networks, October, 2023

Critical Classes and Samples Discovering for Partial Domain Adaptation.

Shuang Li, Kaixiong Gong, Binhui Xie, Chi Harold Liu, Weipeng Cao, Song Tian

IEEE Trans. Cybern., September, 2023

An attention-based automatic vulnerability detection approach with GGNN.

Gaigai Tang, Lin Yang, Long Zhang, Weipeng Cao, Lianxiao Meng, Hongbin He, Hongyu Kuang, Feng Yang, Huiqiang Wang

Int. J. Mach. Learn. Cybern., September, 2023

STI-Net: Spatiotemporal integration network for video saliency detection.

Xiaofei Zhou, Weipeng Cao, Hanxiao Gao, Zhong Ming, Jiyong Zhang

Inf. Sci., May, 2023

AdaDerivative optimizer: Adapting step-sizes by the derivative term in past gradient information.

Weidong Zou, Yuanqing Xia, Weipeng Cao

Eng. Appl. Artif. Intell., March, 2023

A review on multimodal zero-shot learning.

Weipeng Cao, Yuhao Wu, Yixuan Sun, Haigang Zhang, Jin Ren, Dujuan Gu, Xingkai Wang

WIREs Data. Mining. Knowl. Discov., 2023

DETR Based Prohibited Item Detection in X-ray Security Checking Images.

Xinxin Wang, Haigang Zhang, Weipeng Cao, Yuanfei Xue, Yang Xu

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.

Tan Guo, Jiakun Guo, Dachun Li, Weipeng Cao

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Back-propagation extreme learning machine.

Weidong Zou, Yuanqing Xia, Weipeng Cao

Soft Comput., 2022

Runtime Assurance of Learning-Based Lane Changing Control for Autonomous Driving Vehicles.

Qiang Wang, Guang Kou, Longquan Chen, Ying He, Weipeng Cao, Geguang Pu

J. Circuits Syst. Comput., 2022

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

Weipeng Cao, Yuhao Wu, Chengchao Huang, Muhammed J. A. Patwary, Xizhao Wang

Neurocomputing, 2022

Dense deep stochastic configuration network with hybrid training mechanism.

Weidong Zou, Yuanqing Xia, Weipeng Cao

Int. J. Comput. Sci. Math., 2022

Fuzziness based semi-supervised multimodal learning for patient's activity recognition using RGBDT videos.

Muhammed J. A. Patwary, Weipeng Cao, Xi-Zhao Wang, Mohammad Ahsanul Haque

Appl. Soft Comput., 2022

Automated Reliability Analysis of Redundancy Architectures Using Statistical Model Checking.

Hongbin He, Hongyu Kuang, Lin Yang, Feng Yang, Qiang Wang, Weipeng Cao

Proceedings of the Knowledge Science, Engineering and Management, 2022

W-Hash: A Novel Word Hash Clustering Algorithm for Large-Scale Chinese Short Text Analysis.

Yaofeng Chen, Chunyang Zhang, Long Ye, Xiaogang Peng, Meikang Qiu, Weipeng Cao

Proceedings of the Knowledge Science, Engineering and Management, 2022

A Novel RVFL-Based Algorithm Selection Approach for Software Model Checking.

Weipeng Cao, Yuhao Wu, Qiang Wang, Jiyong Zhang, Xingjian Zhang, Meikang Qiu

Proceedings of the Knowledge Science, Engineering and Management, 2022

BLSHF: Broad Learning System with Hybrid Features.

Weipeng Cao, Dachuan Li, Xingjian Zhang, Meikang Qiu, Ye Liu

Proceedings of the Knowledge Science, Engineering and Management, 2022

2021

Bidirectional stochastic configuration network for regression problems.

Weipeng Cao, Zhongwu Xie, Jianqiang Li, Zhiwu Xu, Zhong Ming, Xizhao Wang

Neural Networks, 2021

A further study on biologically inspired feature enhancement in zero-shot learning.

Zhongwu Xie, Weipeng Cao, Zhong Ming

Int. J. Mach. Learn. Cybern., 2021

AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations.

Hongwei Zhang, Weidong Zou, Hongbo Zhao, Qi Ming, Tijin Yan, Yuanqing Xia, Weipeng Cao

CoRR, 2021

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

Gaigai Tang, Lianxiao Meng, Shuangyin Ren, Weipeng Cao, Qiang Wang, Lin Yang

CoRR, 2021

Charge Prediction for Criminal Law with Semantic Attributes.

Cong Zhou, Weipeng Cao, Zhiwu Xu

Proceedings of the Smart Computing and Communication - 6th International Conference, 2021

Dense Incremental Extreme Learning Machine with Accelerating Amount and Proportional Integral Differential.

Weidong Zou, Yuanqing Xia, Meikang Qiu, Weipeng Cao

Proceedings of the Knowledge Science, Engineering and Management, 2021

Interpretation of Learning-Based Automatic Source Code Vulnerability Detection Model Using LIME.

Gaigai Tang, Long Zhang, Feng Yang, Lianxiao Meng, Weipeng Cao, Meikang Qiu, Shuangyin Ren, Lin Yang, Huiqiang Wang

Proceedings of the Knowledge Science, Engineering and Management, 2021

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

Chun Liu, Lin Yang, LinRu Ma, LiuCheng Shi, Xuexian Hu, Weipeng Cao, JingJing Zhang

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.

Jingxuan Kang, Bin Zang, Weipeng Cao

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.

Jinhua Du, Xianming Gao, Jingchao Wang, Shaohua Liu, Weipeng Cao, Yanbo Song, Shanqing Jiang

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.

Liuhui Ding, Dachuan Li, Bowen Liu, Wenxing Lan, Bing Bai, Qi Hao, Weipeng Cao, Ke Pei

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.

An Da, Rui Zhang, Shuang Li, Weipeng Cao

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.

Yuhao Wu, Weipeng Cao, Ye Liu, Zhong Ming, Jianqiang Li, Bo Lu

Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Algorithm selection for software verification based on adversarial LSTM.

Qiang Wang, Jiawei Jiang, Yongxin Zhao, Weipeng Cao, Chunjiang Wang, Shengdong Li

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.

Weipeng Cao, Lei Hu, Jinzhu Gao, Xizhao Wang, Zhong Ming

Neural Comput. Appl., 2020

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

Yuxuan Luo, Xizhao Wang, Weipeng Cao

Neurocomputing, 2020

Formal Analysis of 5G EAP-TLS Authentication Protocol Using Proverif.

Jingjing Zhang, Lin Yang, Weipeng Cao, Qiang Wang

IEEE Access, 2020

A Comparative Study of Neural Network Techniques for Automatic Software Vulnerability Detection.

Gaigai Tang, Lianxiao Meng, Huiqiang Wang, Shuangyin Ren, Qiang Wang, Lin Yang, Weipeng Cao

Proceedings of the International Symposium on Theoretical Aspects of Software Engineering, 2020

Dense Broad Learning System based on Conjugate Gradient.

Weidong Zou, Yuanqing Xia, Weipeng Cao

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Dense Broad Learning System with Proportional Integral Differential and Adaptive Moment Estimation.

Weidong Zou, Yuanqing Xia, Weipeng Cao

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Broad Learning System with Proportional-Integral-Differential Gradient Descent.

Weidong Zou, Yuanqing Xia, Weipeng Cao, Zhong Ming

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.

Chenghao Wei, Jiyong Zhang, Timur Valiullin, Weipeng Cao, Qiang Wang, Hao Long

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning.

Xizhao Wang, Zhongwu Xie, Weipeng Cao, Zhong Ming

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

Research Progress of Zero-Shot Learning Beyond Computer Vision.

Weipeng Cao, Cong Zhou, Yuhao Wu, Zhong Ming, Zhiwu Xu, Jiyong Zhang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning.

Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang

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.

Weipeng Cao, Pengfei Yang, Zhong Ming, Shubin Cai, Jiyong Zhang

Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020

Ensemble Neural Networks with Random Weights for Classification Problems.

Ye Liu, Weipeng Cao, Zhong Ming, Qiang Wang, Jiyong Zhang, Zhiwu Xu

Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2019

Improved bidirectional extreme learning machine based on enhanced random search.

Weipeng Cao, Zhong Ming, Xizhao Wang, Shubin Cai

Memetic Comput., 2019

Online Sequential Extreme Learning Machine With Dynamic Forgetting Factor.

Weipeng Cao, Zhong Ming, Zhiwu Xu, Jiyong Zhang, Qiang Wang

IEEE Access, 2019

An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW.

Weipeng Cao, Muhammed J. A. Patwary, Pengfei Yang, Xizhao Wang, Zhong Ming

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Non-iterative approaches in training feed-forward neural networks and their applications.

Xizhao Wang, Weipeng Cao

Soft Comput., 2018

Fuzziness-based online sequential extreme learning machine for classification problems.

Weipeng Cao, Jinzhu Gao, Zhong Ming, Shubin Cai, Zhiguang Shan

Soft Comput., 2018

An initial study on the rank of input matrix for extreme learning machine.

Xingmin Zhao, Weipeng Cao, Hongyu Zhu, Zhong Ming, Rana Aamir Raza Ashfaq

Int. J. Mach. Learn. Cybern., 2018

A review on neural networks with random weights.

Weipeng Cao, Xizhao Wang, Zhong Ming, Jinzhu Gao

Neurocomputing, 2018

Random Orthogonal Projection Based Enhanced Bidirectional Extreme Learning Machine.

Weipeng Cao, Jinzhu Gao, Xizhao Wang, Zhong Ming, Shubin Cai

Proceedings of ELM 2018, 2018

2017

Impact of Probability Distribution Selection on RVFL Performance.

Weipeng Cao, Jinzhu Gao, Zhong Ming, Shubin Cai, Hua Zheng

Proceedings of the Smart Computing and Communication, 2017