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Weipeng Cao
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Journal Articles
- 2024
- [j25]Yijia Xu, Yong Fang, Cheng Huang, Zhonglin Liu, Weipeng Cao:
Hacker group identification based on dynamic heterogeneous graph node update. Appl. Soft Comput. 158: 111587 (2024) - [j24]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: 108489 (2024) - 2023
- [j23]Weidong Zou, Yuanqing Xia, Weipeng Cao:
AdaDerivative optimizer: Adapting step-sizes by the derivative term in past gradient information. Eng. Appl. Artif. Intell. 119: 105755 (2023) - [j22]Xiaofei Zhou, Weipeng Cao, Hanxiao Gao, Zhong Ming, Jiyong Zhang:
STI-Net: Spatiotemporal integration network for video saliency detection. Inf. Sci. 628: 134-147 (2023) - [j21]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): 3113-3127 (2023) - [j20]Haigang Zhang, Xianglong Meng, Weipeng Cao, Ye Liu, Zhong Ming, Jinfeng Yang:
Graph embedding based multi-label Zero-shot Learning. Neural Networks 167: 129-140 (2023) - [j19]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): 5641-5654 (2023) - [j18]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): 15784-15794 (2023) - [j17]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) - 2022
- [j16]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: 108655 (2022) - [j15]Weidong Zou, Yuanqing Xia, Weipeng Cao:
Dense deep stochastic configuration network with hybrid training mechanism. Int. J. Comput. Sci. Math. 15(3): 301-314 (2022) - [j14]Weipeng Cao, Yuhao Wu, Chengchao Huang, Muhammed J. A. Patwary, Xizhao Wang:
MFF: Multi-modal feature fusion for zero-shot learning. Neurocomputing 510: 172-180 (2022) - [j13]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): 2250249:1-2250249:22 (2022) - [j12]Weidong Zou, Yuanqing Xia, Weipeng Cao:
Back-propagation extreme learning machine. Soft Comput. 26(18): 9179-9188 (2022) - 2021
- [j11]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): 257-269 (2021) - [j10]Weipeng Cao, Zhongwu Xie, Jianqiang Li, Zhiwu Xu, Zhong Ming, Xizhao Wang:
Bidirectional stochastic configuration network for regression problems. Neural Networks 140: 237-246 (2021) - 2020
- [j9]Jingjing Zhang, Lin Yang, Weipeng Cao, Qiang Wang:
Formal Analysis of 5G EAP-TLS Authentication Protocol Using Proverif. IEEE Access 8: 23674-23688 (2020) - [j8]Yuxuan Luo, Xizhao Wang, Weipeng Cao:
A novel dataset-specific feature extractor for zero-shot learning. Neurocomputing 391: 74-82 (2020) - [j7]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): 12685-12696 (2020) - 2019
- [j6]Weipeng Cao, Zhong Ming, Zhiwu Xu, Jiyong Zhang, Qiang Wang:
Online Sequential Extreme Learning Machine With Dynamic Forgetting Factor. IEEE Access 7: 179746-179757 (2019) - [j5]Weipeng Cao, Zhong Ming, Xizhao Wang, Shubin Cai:
Improved bidirectional extreme learning machine based on enhanced random search. Memetic Comput. 11(1): 19-26 (2019) - 2018
- [j4]Weipeng Cao, Xizhao Wang, Zhong Ming, Jinzhu Gao:
A review on neural networks with random weights. Neurocomputing 275: 278-287 (2018) - [j3]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): 867-879 (2018) - [j2]Xizhao Wang, Weipeng Cao:
Non-iterative approaches in training feed-forward neural networks and their applications. Soft Comput. 22(11): 3473-3476 (2018) - [j1]Weipeng Cao, Jinzhu Gao, Zhong Ming, Shubin Cai, Zhiguang Shan:
Fuzziness-based online sequential extreme learning machine for classification problems. Soft Comput. 22(11): 3487-3494 (2018)
Conference and Workshop Papers
- 2024
- [c37]Hongwei Su, Han Liu, Weipeng Cao, Zhong Ming:
Knowledge Distillation with Classmate. ICIC (2) 2024: 245-256 - [c36]Weipeng Cao, Xi Tao, Yinghui Pan, Ye Liu, Zhong Ming:
QoS Perception for Cloud Databases: Necessity, Trends, and Challenges. IWQoS 2024: 1-2 - [c35]Xi Tao, Weipeng Cao, Yinghui Pan, Ye Liu, Zhong Ming:
Improving QoS of Workloads with CPU Pinning: A Deep Reinforcement Learning Approach. IWQoS 2024: 1-2 - [c34]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: 16-27 - [c33]Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhong Ming, Chuqing Cao, Liang Zheng:
DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification. KSEM (1) 2024: 112-123 - [c32]Wenfeng He, Jiawei Lin, Yongpan Zou, Weipeng Cao:
Cop: Continuously Pairing of Heterogeneous Wearable Devices Based on Heartbeat. KSEM (3) 2024: 261-273 - [c31]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: 300-313 - [c30]Chenxing Kuang, Yunyun Qiu, Weipeng Cao, Zhijiao Xiao, Zhong Ming:
A Brief Review on Prediction Methods for Cloud Resource Management. SmartCloud 2024: 92-96 - 2023
- [c29]Tan Guo, Jiakun Guo, Dachun Li, Weipeng Cao:
Level-Wise Band-Partition-Based Hierarchical Representation Residual Feature Learning for Hyperspectral Target Detection. CASE 2023: 1-5 - [c28]Xinxin Wang, Haigang Zhang, Weipeng Cao, Yuanfei Xue, Yang Xu:
DETR Based Prohibited Item Detection in X-ray Security Checking Images. CASE 2023: 1-7 - 2022
- [c27]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: 414-425 - [c26]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: 463-476 - [c25]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: 528-539 - [c24]Weipeng Cao, Dachuan Li, Xingjian Zhang, Meikang Qiu, Ye Liu:
BLSHF: Broad Learning System with Hybrid Features. KSEM (2) 2022: 655-666 - 2021
- [c23]Qiang Wang, Jiawei Jiang, Yongxin Zhao, Weipeng Cao, Chunjiang Wang, Shengdong Li:
Algorithm selection for software verification based on adversarial LSTM. BigDataSecurity 2021: 87-92 - [c22]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: 101-105 - [c21]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: 63-72 - [c20]Jingxuan Kang, Bin Zang, Weipeng Cao:
Domain Adaptive Semantic Segmentation via Image Translation and Representation Alignment. ISPA/BDCloud/SocialCom/SustainCom 2021: 509-516 - [c19]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: 826-835 - [c18]An Da, Rui Zhang, Shuang Li, Weipeng Cao:
Target-oriented Self Training for Heterogeneous Domain Adaptation. ISPA/BDCloud/SocialCom/SustainCom 2021: 931-938 - [c17]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: 1159-1166 - [c16]Weidong Zou, Yuanqing Xia, Meikang Qiu, Weipeng Cao:
Dense Incremental Extreme Learning Machine with Accelerating Amount and Proportional Integral Differential. KSEM 2021: 89-100 - [c15]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: 275-286 - [c14]Cong Zhou, Weipeng Cao, Zhiwu Xu:
Charge Prediction for Criminal Law with Semantic Attributes. SmartCom 2021: 208-217 - 2020
- [c13]Ye Liu, Weipeng Cao, Zhong Ming, Qiang Wang, Jiyong Zhang, Zhiwu Xu:
Ensemble Neural Networks with Random Weights for Classification Problems. ACAI 2020: 15:1-15:5 - [c12]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: 42-48 - [c11]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: 120-125 - [c10]Weidong Zou, Yuanqing Xia, Weipeng Cao, Zhong Ming:
Broad Learning System with Proportional-Integral-Differential Gradient Descent. ICA3PP (1) 2020: 219-231 - [c9]Xizhao Wang, Zhongwu Xie, Weipeng Cao, Zhong Ming:
A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning. ICA3PP (2) 2020: 352-364 - [c8]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: 448-464 - [c7]Weipeng Cao, Cong Zhou, Yuhao Wu, Zhong Ming, Zhiwu Xu, Jiyong Zhang:
Research Progress of Zero-Shot Learning Beyond Computer Vision. ICA3PP (2) 2020: 538-551 - [c6]Weidong Zou, Yuanqing Xia, Weipeng Cao:
Dense Broad Learning System with Proportional Integral Differential and Adaptive Moment Estimation. ICMLA 2020: 618-625 - [c5]Weidong Zou, Yuanqing Xia, Weipeng Cao:
Dense Broad Learning System based on Conjugate Gradient. IJCNN 2020: 1-6 - [c4]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: 1-8 - 2019
- [c3]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: 1-8 - 2018
- [c2]Weipeng Cao, Jinzhu Gao, Xizhao Wang, Zhong Ming, Shubin Cai:
Random Orthogonal Projection Based Enhanced Bidirectional Extreme Learning Machine. ELM 2018: 1-10 - 2017
- [c1]Weipeng Cao, Jinzhu Gao, Zhong Ming, Shubin Cai, Hua Zheng:
Impact of Probability Distribution Selection on RVFL Performance. SmartCom 2017: 114-124
Informal and Other Publications
- 2021
- [i4]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 abs/2104.14978 (2021) - [i3]Hongwei Zhang, Weidong Zou, Hongbo Zhao, Qi Ming, Tijin Yan, Yuanqing Xia, Weipeng Cao:
AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations. CoRR abs/2107.01525 (2021) - [i2]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 abs/2108.05118 (2021) - 2020
- [i1]Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang:
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. CoRR abs/2005.08704 (2020)
Coauthor Index
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last updated on 2024-10-15 00:20 CEST by the dblp team
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