Impact of Probability Distribution Selection on RVFL Performance. - Weipeng Cao; Jinzhu Gao; Zhong Ming 001; Shubin Cai; Hua Zheng (SmartCom, 2017)

Random Orthogonal Projection Based Enhanced Bidirectional Extreme Learning Machine. - Weipeng Cao; Jinzhu Gao; Xizhao Wang; Zhong Ming 001; Shubin Cai (ELM, 2018)

A review on neural networks with random weights. - Weipeng Cao; Xizhao Wang; Zhong Ming 001; Jinzhu Gao (Neurocomputing, 2018)

An initial study on the rank of input matrix for extreme learning machine. - Xingmin Zhao; Weipeng Cao; Hongyu Zhu; Zhong Ming 001; Rana Aamir Raza Ashfaq (Int. J. Mach. Learn. Cybern., 2018)

Fuzziness-based online sequential extreme learning machine for classification problems. - Weipeng Cao; Jinzhu Gao; Zhong Ming 001; Shubin Cai; Zhiguang Shan (Soft Comput., 2018)

Non-iterative approaches in training feed-forward neural networks and their applications. - Xizhao Wang; Weipeng Cao (Soft Comput., 2018)

An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW. - Weipeng Cao; Muhammed J. A. Patwary; Pengfei Yang 002; Xizhao Wang; Zhong Ming 001 (IJCNN, 2019)

Online Sequential Extreme Learning Machine With Dynamic Forgetting Factor. - Weipeng Cao; Zhong Ming 001; Zhiwu Xu 001; Jiyong Zhang; Qiang Wang 020 (IEEE Access, 2019)

Improved bidirectional extreme learning machine based on enhanced random search. - Weipeng Cao; Zhong Ming 001; Xizhao Wang; Shubin Cai (Memetic Comput., 2019)

Ensemble Neural Networks with Random Weights for Classification Problems. - Ye Liu; Weipeng Cao; Zhong Ming 001; Qiang Wang 020; Jiyong Zhang; Zhiwu Xu 001 (ACAI, 2020)

An Improved Fuzziness based Random Vector Functional Link Network for Liver Disease Detection. - Weipeng Cao; Pengfei Yang 002; Zhong Ming 001; Shubin Cai; Jiyong Zhang (BigDataSecurity/HPSC/IDS, 2020)

A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. - Zhongwu Xie; Weipeng Cao; Xizhao Wang; Zhong Ming 001; Jingjing Zhang 005; Jiyong Zhang (CSCloud/EdgeCom, 2020)

Research Progress of Zero-Shot Learning Beyond Computer Vision. - Weipeng Cao; Cong Zhou; Yuhao Wu; Zhong Ming 001; Zhiwu Xu 001; Jiyong Zhang (ICA3PP (2), 2020)

A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning. - Xizhao Wang; Zhongwu Xie; Weipeng Cao; Zhong Ming 001 (ICA3PP (2), 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 020; Hao Long (ICA3PP (1), 2020)

Broad Learning System with Proportional-Integral-Differential Gradient Descent. - Weidong Zou; Yuanqing Xia; Weipeng Cao; Zhong Ming 001 (ICA3PP (1), 2020)

Dense Broad Learning System with Proportional Integral Differential and Adaptive Moment Estimation. - Weidong Zou; Yuanqing Xia; Weipeng Cao (ICMLA, 2020)

Dense Broad Learning System based on Conjugate Gradient. - Weidong Zou; Yuanqing Xia; Weipeng Cao (IJCNN, 2020)

A Comparative Study of Neural Network Techniques for Automatic Software Vulnerability Detection. - Gaigai Tang; Lianxiao Meng; Huiqiang Wang; Shuangyin Ren; Qiang Wang 020; Lin Yang; Weipeng Cao (TASE, 2020)

Formal Analysis of 5G EAP-TLS Authentication Protocol Using Proverif. - Jingjing Zhang 005; Lin Yang; Weipeng Cao; Qiang Wang 020 (IEEE Access, 2020)

A novel dataset-specific feature extractor for zero-shot learning. - Yuxuan Luo; Xizhao Wang; Weipeng Cao (Neurocomputing, 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 001 (Neural Comput. Appl., 2020)

Algorithm selection for software verification based on adversarial LSTM. - Qiang Wang 020; Jiawei Jiang; Yongxin Zhao; Weipeng Cao; Chunjiang Wang; Shengdong Li (BigDataSecurity, 2021)

Semantic Auto-Encoder with L2-norm Constraint for Zero-Shot Learning. - Yuhao Wu; Weipeng Cao; Ye Liu; Zhong Ming 001; Jianqiang Li 001; Bo Lu (ICMLC, 2021)

Target-oriented Self Training for Heterogeneous Domain Adaptation. - An Da; Rui Zhang 113; Shuang Li 008; Weipeng Cao (ISPA/BDCloud/SocialCom/SustainCom, 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 (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Research on An Approach of ARP Flooding Suppression in Multi-Controller SDN Networks. - Jinhua Du; Xianming Gao; Jingchao Wang; Shaohua Liu 002; Weipeng Cao; Yanbo Song; Shanqing Jiang (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Domain Adaptive Semantic Segmentation via Image Translation and Representation Alignment. - Jingxuan Kang; Bin Zang; Weipeng Cao (ISPA/BDCloud/SocialCom/SustainCom, 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 (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Interpretation of Learning-Based Automatic Source Code Vulnerability Detection Model Using LIME. - Gaigai Tang; Long Zhang 004; Feng Yang; Lianxiao Meng; Weipeng Cao; Meikang Qiu; Shuangyin Ren; Lin Yang; Huiqiang Wang (KSEM, 2021)

Dense Incremental Extreme Learning Machine with Accelerating Amount and Proportional Integral Differential. - Weidong Zou; Yuanqing Xia; Meikang Qiu; Weipeng Cao (KSEM, 2021)

Charge Prediction for Criminal Law with Semantic Attributes. - Cong Zhou; Weipeng Cao; Zhiwu Xu 001 (SmartCom, 2021)

A comparative study of neural network techniques for automatic software vulnerability detection. - Gaigai Tang; Lianxiao Meng; Shuangyin Ren; Weipeng Cao; Qiang Wang 020; Lin Yang (CoRR, 2021)

AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations. - Hongwei Zhang; Weidong Zou; Hongbo Zhao 006; Qi Ming; Tijin Yan; Yuanqing Xia; Weipeng Cao (CoRR, 2021)

A further study on biologically inspired feature enhancement in zero-shot learning. - Zhongwu Xie; Weipeng Cao; Zhong Ming 001 (Int. J. Mach. Learn. Cybern., 2021)

Bidirectional stochastic configuration network for regression problems. - Weipeng Cao; Zhongwu Xie; Jianqiang Li 001; Zhiwu Xu 001; Zhong Ming 001; Xizhao Wang (Neural Networks, 2021)

BLSHF: Broad Learning System with Hybrid Features. - Weipeng Cao; Dachuan Li; Xingjian Zhang; Meikang Qiu; Ye Liu (KSEM (2), 2022)

A Novel RVFL-Based Algorithm Selection Approach for Software Model Checking. - Weipeng Cao; Yuhao Wu; Qiang Wang 020; Jiyong Zhang; Xingjian Zhang; Meikang Qiu (KSEM (3), 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 (KSEM (3), 2022)

Automated Reliability Analysis of Redundancy Architectures Using Statistical Model Checking. - Hongbin He; Hongyu Kuang; Lin Yang; Feng Yang; Qiang Wang 020; Weipeng Cao (KSEM (3), 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)

Dense deep stochastic configuration network with hybrid training mechanism. - Weidong Zou; Yuanqing Xia; Weipeng Cao (Int. J. Comput. Sci. Math., 2022)

MFF: Multi-modal feature fusion for zero-shot learning. - Weipeng Cao; Yuhao Wu; Chengchao Huang; Muhammed J. A. Patwary; Xizhao Wang (Neurocomputing, 2022)

Runtime Assurance of Learning-Based Lane Changing Control for Autonomous Driving Vehicles. - Qiang Wang 020; Guang Kou; Longquan Chen; Ying He 006; Weipeng Cao; Geguang Pu (J. Circuits Syst. Comput., 2022)

Back-propagation extreme learning machine. - Weidong Zou; Yuanqing Xia; Weipeng Cao (Soft Comput., 2022)

Level-Wise Band-Partition-Based Hierarchical Representation Residual Feature Learning for Hyperspectral Target Detection. - Tan Guo; Jiakun Guo; Dachun Li; Weipeng Cao (CASE, 2023)

DETR Based Prohibited Item Detection in X-ray Security Checking Images. - Xinxin Wang; Haigang Zhang; Weipeng Cao; Yuanfei Xue; Yang Xu (CASE, 2023)

A review on multimodal zero-shot learning. - Weipeng Cao; Yuhao Wu; Yixuan Sun; Haigang Zhang; Jin Ren 001; Dujuan Gu; Xingkai Wang (WIREs Data. Mining. Knowl. Discov., 2023)

AdaDerivative optimizer: Adapting step-sizes by the derivative term in past gradient information. - Weidong Zou; Yuanqing Xia; Weipeng Cao (Eng. Appl. Artif. Intell., 2023)

STI-Net: Spatiotemporal integration network for video saliency detection. - Xiaofei Zhou; Weipeng Cao; Hanxiao Gao; Zhong Ming 001; Jiyong Zhang (Inf. Sci., 2023)

An attention-based automatic vulnerability detection approach with GGNN. - Gaigai Tang; Lin Yang; Long Zhang 004; Weipeng Cao; Lianxiao Meng; Hongbin He; Hongyu Kuang; Feng Yang; Huiqiang Wang (Int. J. Mach. Learn. Cybern., 2023)

Critical Classes and Samples Discovering for Partial Domain Adaptation. - Shuang Li 008; Kaixiong Gong; Binhui Xie; Chi Harold Liu; Weipeng Cao; Song Tian (IEEE Trans. Cybern., 2023)

Graph embedding based multi-label Zero-shot Learning. - Haigang Zhang; Xianglong Meng; Weipeng Cao; Ye Liu; Zhong Ming 001; Jinfeng Yang (Neural Networks, 2023)

Sustainable and Transferable Traffic Sign Recognition for Intelligent Transportation Systems. - Weipeng Cao; Yuhao Wu; Chinmay Chakraborty; Dachuan Li; Liang Zhao 004; Soumya Kanti Ghosh 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Knowledge Distillation with Classmate. - Hongwei Su; Han Liu 002; Weipeng Cao; Zhong Ming 001 (ICIC (2), 2024)

Depth-Aware Multi-Modal Fusion for Generalized Zero-Shot Learning. - Weipeng Cao; Xuyang Yao; Zhiwu Xu 001; Yinghui Pan; Yixuan Sun; Dachuan Li; Bohua Qiu; Muheng Wei (INDIN, 2024)

ICSGD-Momentum: SGD Momentum Based on Inter-gradient Collision. - Weidong Zou; Weipeng Cao; Yuanqing Xia; Bineng Zhong; Dachuan Li (INDIN, 2024)

QoS Perception for Cloud Databases: Necessity, Trends, and Challenges. - Weipeng Cao; Xi Tao; Yinghui Pan; Ye Liu; Zhong Ming 001 (IWQoS, 2024)

Improving QoS of Workloads with CPU Pinning: A Deep Reinforcement Learning Approach. - Xi Tao; Weipeng Cao; Yinghui Pan; Ye Liu; Zhong Ming 001 (IWQoS, 2024)

Cop: Continuously Pairing of Heterogeneous Wearable Devices Based on Heartbeat. - Wenfeng He; Jiawei Lin; Yongpan Zou; Weipeng Cao (KSEM (3), 2024)

DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification. - Zixuan Hong; Weipeng Cao; Zhiwu Xu 001; Zhong Ming 001; Chuqing Cao; Liang Zheng (KSEM (1), 2024)

WGGAL: A Practical Time Series Forecasting Framework for Dynamic Cloud Environments. - Yunyun Qiu; Weipeng Cao; Zhijiao Xiao; Zhong Ming 001; Changping Ji; Jiongjiong Gu; Chuqing Cao; Liang Zheng (KSEM (3), 2024)

MetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification. - Zixuan Hong; Weipeng Cao; Zhiwu Xu 001; Zhenru Chen; Xi Tao; Zhong Ming 001; Chuqing Cao; Liang Zheng (MMM (1), 2024)

A Brief Review on Prediction Methods for Cloud Resource Management. - Chenxing Kuang; Yunyun Qiu; Weipeng Cao; Zhijiao Xiao; Zhong Ming 001 (SmartCloud, 2024)

Hacker group identification based on dynamic heterogeneous graph node update. - Yijia Xu; Yong Fang 002; Cheng Huang 003; Zhonglin Liu; Weipeng Cao (Appl. Soft Comput., 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)

Parallelization Techniques for Large Language Models: A Review from Training to Inference. - Shanwen Liu; Xi Tao; Weipeng Cao; Zhong Ming 001 (WASA (1), 2025)

A Survey of Zero-Shot Object Detection. - Weipeng Cao; Xuyang Yao; Zhiwu Xu 001; Ye Liu; Yinghui Pan; Zhong Ming 001 (Big Data Min. Anal., 2025)

Flexible Computing: A New Framework for Improving Resource Allocation and Scheduling in Elastic Computing. - Weipeng Cao; Jiongjiong Gu; Zhong Ming 001; Zhiyuan Cai; Yuzhao Wang; Changping Ji; Zhijiao Xiao; Yuhong Feng; Ye Liu; Liang-Jie Zhang (IEEE Trans. Serv. Comput., 2025)

Semantic Correlation Transfer for Heterogeneous Domain Adaptation. - Ying Zhao; Shuang Li 008; Rui Zhang 113; Chi Harold Liu; Weipeng Cao; Xizhao Wang; Song Tian (IEEE Trans. Neural Networks Learn. Syst., 2025)