Weipeng Cao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 64

Top Topics

Biologically Inspired

Extreme Learning Machine

Top Venues

ISPA/BDCloud/SocialCom/SustainCom

Publications

Yijia Xu, Yong Fang, Cheng Huang, Zhonglin Liu, Weipeng Cao
Hacker group identification based on dynamic heterogeneous graph node update. Appl. Soft Comput. 158 (2024)
Hongwei Su, Han Liu, Weipeng Cao, Zhong Ming
Knowledge Distillation with Classmate. ICIC (2) (2024)
Mahnoosh Torabi, Amir Hosein Rasouli, Q. M. Jonathan Wu, Weipeng Cao, Farhad Pourpanah
Self-supervised adversarial adaptation network for breast cancer detection. Eng. Appl. Artif. Intell. 133 (2024)
Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhenru Chen, Xi Tao, Zhong Ming, Chuqing Cao, Liang Zheng
MetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification. MMM (1) (2024)
Wenfeng He, Jiawei Lin, Yongpan Zou, Weipeng Cao
Cop: Continuously Pairing of Heterogeneous Wearable Devices Based on Heartbeat. KSEM (3) (2024)
Chenxing Kuang, Yunyun Qiu, Weipeng Cao, Zhijiao Xiao, Zhong Ming
A Brief Review on Prediction Methods for Cloud Resource Management. SmartCloud (2024)
Yunyun Qiu, Weipeng Cao, Zhijiao Xiao, Zhong Ming, Changping Ji, Jiongjiong Gu, Chuqing Cao, Liang Zheng
WGGAL: A Practical Time Series Forecasting Framework for Dynamic Cloud Environments. KSEM (3) (2024)
Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhong Ming, Chuqing Cao, Liang Zheng
DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification. KSEM (1) (2024)
Xinxin Wang, Haigang Zhang, Weipeng Cao, Yuanfei Xue, Yang Xu
DETR Based Prohibited Item Detection in X-ray Security Checking Images. CASE (2023)
Weipeng Cao, Yuhao Wu, Yixuan Sun, Haigang Zhang, Jin Ren, Dujuan Gu, Xingkai Wang
A review on multimodal zero-shot learning. WIREs Data. Mining. Knowl. Discov. 13 (2) (2023)
Haigang Zhang, Xianglong Meng, Weipeng Cao, Ye Liu, Zhong Ming, Jinfeng Yang
Graph embedding based multi-label Zero-shot Learning. Neural Networks 167 (2023)
Shuang Li, Kaixiong Gong, Binhui Xie, Chi Harold Liu, Weipeng Cao, Song Tian
Critical Classes and Samples Discovering for Partial Domain Adaptation. IEEE Trans. Cybern. 53 (9) (2023)
Tan Guo, Jiakun Guo, Dachun Li, Weipeng Cao
Level-Wise Band-Partition-Based Hierarchical Representation Residual Feature Learning for Hyperspectral Target Detection. CASE (2023)
Xiaofei Zhou, Weipeng Cao, Hanxiao Gao, Zhong Ming, Jiyong Zhang
STI-Net: Spatiotemporal integration network for video saliency detection. Inf. Sci. 628 (2023)
Gaigai Tang, Lin Yang, Long Zhang, Weipeng Cao, Lianxiao Meng, Hongbin He, Hongyu Kuang, Feng Yang, Huiqiang Wang
An attention-based automatic vulnerability detection approach with GGNN. Int. J. Mach. Learn. Cybern. 14 (9) (2023)
Weipeng Cao, Yuhao Wu, Chinmay Chakraborty, Dachuan Li, Liang Zhao, Soumya Kanti Ghosh
Sustainable and Transferable Traffic Sign Recognition for Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Weidong Zou, Yuanqing Xia, Weipeng Cao
AdaDerivative optimizer: Adapting step-sizes by the derivative term in past gradient information. Eng. Appl. Artif. Intell. 119 (2023)
Hongbin He, Hongyu Kuang, Lin Yang, Feng Yang, Qiang Wang, Weipeng Cao
Automated Reliability Analysis of Redundancy Architectures Using Statistical Model Checking. KSEM (3) (2022)
Muhammed J. A. Patwary, Weipeng Cao, Xi-Zhao Wang, Mohammad Ahsanul Haque
Fuzziness based semi-supervised multimodal learning for patient's activity recognition using RGBDT videos. Appl. Soft Comput. 120 (2022)
Weipeng Cao, Yuhao Wu, Qiang Wang, Jiyong Zhang, Xingjian Zhang, Meikang Qiu
A Novel RVFL-Based Algorithm Selection Approach for Software Model Checking. KSEM (3) (2022)
Yaofeng Chen, Chunyang Zhang, Long Ye, Xiaogang Peng, Meikang Qiu, Weipeng Cao
W-Hash: A Novel Word Hash Clustering Algorithm for Large-Scale Chinese Short Text Analysis. KSEM (3) (2022)
Weipeng Cao, Dachuan Li, Xingjian Zhang, Meikang Qiu, Ye Liu
BLSHF: Broad Learning System with Hybrid Features. KSEM (2) (2022)
Qiang Wang, Guang Kou, Longquan Chen, Ying He, Weipeng Cao, Geguang Pu
Runtime Assurance of Learning-Based Lane Changing Control for Autonomous Driving Vehicles. J. Circuits Syst. Comput. 31 (14) (2022)
Weidong Zou, Yuanqing Xia, Weipeng Cao
Dense deep stochastic configuration network with hybrid training mechanism. Int. J. Comput. Sci. Math. 15 (3) (2022)
Weipeng Cao, Yuhao Wu, Chengchao Huang, Muhammed J. A. Patwary, Xizhao Wang
MFF: Multi-modal feature fusion for zero-shot learning. Neurocomputing 510 (2022)
Weidong Zou, Yuanqing Xia, Weipeng Cao
Back-propagation extreme learning machine. Soft Comput. 26 (18) (2022)
Jingxuan Kang, Bin Zang, Weipeng Cao
Domain Adaptive Semantic Segmentation via Image Translation and Representation Alignment. ISPA/BDCloud/SocialCom/SustainCom (2021)
Chun Liu, Lin Yang, LinRu Ma, LiuCheng Shi, Xuexian Hu, Weipeng Cao, JingJing Zhang
PEBIID: Privacy-preserving and Efficient Biometric Identification for IoV DApp. ISPA/BDCloud/SocialCom/SustainCom (2021)
Yuhao Wu, Weipeng Cao, Ye Liu, Zhong Ming, Jianqiang Li, Bo Lu
Semantic Auto-Encoder with L2-norm Constraint for Zero-Shot Learning. ICMLC (2021)
Weidong Zou, Yuanqing Xia, Meikang Qiu, Weipeng Cao
Dense Incremental Extreme Learning Machine with Accelerating Amount and Proportional Integral Differential. KSEM (2021)
Liuhui Ding, Dachuan Li, Bowen Liu, Wenxing Lan, Bing Bai, Qi Hao, Weipeng Cao, Ke Pei
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles. CoRR (2021)
An Da, Rui Zhang, Shuang Li, Weipeng Cao
Target-oriented Self Training for Heterogeneous Domain Adaptation. ISPA/BDCloud/SocialCom/SustainCom (2021)
Gaigai Tang, Long Zhang, Feng Yang, Lianxiao Meng, Weipeng Cao, Meikang Qiu, Shuangyin Ren, Lin Yang, Huiqiang Wang
Interpretation of Learning-Based Automatic Source Code Vulnerability Detection Model Using LIME. KSEM (2021)
Weipeng Cao, Zhongwu Xie, Jianqiang Li, Zhiwu Xu, Zhong Ming, Xizhao Wang
Bidirectional stochastic configuration network for regression problems. Neural Networks 140 (2021)
Zhongwu Xie, Weipeng Cao, Zhong Ming
A further study on biologically inspired feature enhancement in zero-shot learning. Int. J. Mach. Learn. Cybern. 12 (1) (2021)
Cong Zhou, Weipeng Cao, Zhiwu Xu
Charge Prediction for Criminal Law with Semantic Attributes. SmartCom (2021)
Jinhua Du, Xianming Gao, Jingchao Wang, Shaohua Liu, Weipeng Cao, Yanbo Song, Shanqing Jiang
Research on An Approach of ARP Flooding Suppression in Multi-Controller SDN Networks. ISPA/BDCloud/SocialCom/SustainCom (2021)
Qiang Wang, Jiawei Jiang, Yongxin Zhao, Weipeng Cao, Chunjiang Wang, Shengdong Li
Algorithm selection for software verification based on adversarial LSTM. BigDataSecurity (2021)
Hongwei Zhang, Weidong Zou, Hongbo Zhao, Qi Ming, Tijin Yan, Yuanqing Xia, Weipeng Cao
AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations. CoRR (2021)
Liuhui Ding, Dachuan Li, Bowen Liu, Wenxing Lan, Bing Bai, Qi Hao, Weipeng Cao, Ke Pei
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles. ISPA/BDCloud/SocialCom/SustainCom (2021)
Gaigai Tang, Lianxiao Meng, Shuangyin Ren, Weipeng Cao, Qiang Wang, Lin Yang
A comparative study of neural network techniques for automatic software vulnerability detection. CoRR (2021)
Weipeng Cao, Cong Zhou, Yuhao Wu, Zhong Ming, Zhiwu Xu, Jiyong Zhang
Research Progress of Zero-Shot Learning Beyond Computer Vision. ICA3PP (2) (2020)
Weipeng Cao, Lei Hu, Jinzhu Gao, Xizhao Wang, Zhong Ming
A study on the relationship between the rank of input data and the performance of random weight neural network. Neural Comput. Appl. 32 (16) (2020)
Ye Liu, Weipeng Cao, Zhong Ming, Qiang Wang, Jiyong Zhang, Zhiwu Xu
Ensemble Neural Networks with Random Weights for Classification Problems. ACAI (2020)
Gaigai Tang, Lianxiao Meng, Huiqiang Wang, Shuangyin Ren, Qiang Wang, Lin Yang, Weipeng Cao
A Comparative Study of Neural Network Techniques for Automatic Software Vulnerability Detection. TASE (2020)
Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. CoRR (2020)
Chenghao Wei, Jiyong Zhang, Timur Valiullin, Weipeng Cao, Qiang Wang, Hao Long
Distributed and Parallel Ensemble Classification for Big Data Based on Kullback-Leibler Random Sample Partition. ICA3PP (1) (2020)
Xizhao Wang, Zhongwu Xie, Weipeng Cao, Zhong Ming
A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning. ICA3PP (2) (2020)
Yuxuan Luo, Xizhao Wang, Weipeng Cao
A novel dataset-specific feature extractor for zero-shot learning. Neurocomputing 391 (2020)
Weidong Zou, Yuanqing Xia, Weipeng Cao
Dense Broad Learning System based on Conjugate Gradient. IJCNN (2020)
Weidong Zou, Yuanqing Xia, Weipeng Cao
Dense Broad Learning System with Proportional Integral Differential and Adaptive Moment Estimation. ICMLA (2020)
Weipeng Cao, Pengfei Yang, Zhong Ming, Shubin Cai, Jiyong Zhang
An Improved Fuzziness based Random Vector Functional Link Network for Liver Disease Detection. BigDataSecurity/HPSC/IDS (2020)
Jingjing Zhang, Lin Yang, Weipeng Cao, Qiang Wang
Formal Analysis of 5G EAP-TLS Authentication Protocol Using Proverif. IEEE Access 8 (2020)
Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. CSCloud/EdgeCom (2020)
Weidong Zou, Yuanqing Xia, Weipeng Cao, Zhong Ming
Broad Learning System with Proportional-Integral-Differential Gradient Descent. ICA3PP (1) (2020)
Weipeng Cao, Zhong Ming, Zhiwu Xu, Jiyong Zhang, Qiang Wang
Online Sequential Extreme Learning Machine With Dynamic Forgetting Factor. IEEE Access 7 (2019)
Weipeng Cao, Zhong Ming, Xizhao Wang, Shubin Cai
Improved bidirectional extreme learning machine based on enhanced random search. Memetic Comput. 11 (1) (2019)
Weipeng Cao, Muhammed J. A. Patwary, Pengfei Yang, Xizhao Wang, Zhong Ming
An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW. IJCNN (2019)
Weipeng Cao, Jinzhu Gao, Zhong Ming, Shubin Cai, Zhiguang Shan
Fuzziness-based online sequential extreme learning machine for classification problems. Soft Comput. 22 (11) (2018)
Xizhao Wang, Weipeng Cao
Non-iterative approaches in training feed-forward neural networks and their applications. Soft Comput. 22 (11) (2018)
Xingmin Zhao, Weipeng Cao, Hongyu Zhu, Zhong Ming, Rana Aamir Raza Ashfaq
An initial study on the rank of input matrix for extreme learning machine. Int. J. Mach. Learn. Cybern. 9 (5) (2018)
Weipeng Cao, Jinzhu Gao, Xizhao Wang, Zhong Ming, Shubin Cai
Random Orthogonal Projection Based Enhanced Bidirectional Extreme Learning Machine. ELM (2018)
Weipeng Cao, Xizhao Wang, Zhong Ming, Jinzhu Gao
A review on neural networks with random weights. Neurocomputing 275 (2018)
Weipeng Cao, Jinzhu Gao, Zhong Ming, Shubin Cai, Hua Zheng
Impact of Probability Distribution Selection on RVFL Performance. SmartCom (2017)