Ping Guo

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 78

Top Venues

Chinese University of Hong Kong, Hong Kong (PHD)

Education History

Chinese University of Hong Kong, Hong Kong

PHD

Publications

Liao Zhu, Qinglai Wei, Ping Guo
Online Off-Policy Reinforcement Learning for Optimal Control of Unknown Nonlinear Systems Using Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. 54 (8) (2024)
Zhenjiao Cai, Sulan Zhang, Ping Guo, Jifu Zhang, Lihua Hu
AM-RP Stacking PILers: Random projection stacking pseudoinverse learning algorithm based on attention mechanism. Vis. Comput. 40 (1) (2024)
Hongbing Xia, Jiaxu Hou, Ping Guo
Two-Level Local Observer-Based Decentralized Optimal Fault Tolerant Tracking Control for Unknown Nonlinear Interconnected Systems. IEEE Trans. Syst. Man Cybern. Syst. 54 (3) (2024)
Zhenjiao Cai, Sulan Zhang, Ping Guo, Jifu Zhang, Lihua Hu
A Progressive Stacking Pseudoinverse Learning Framework via Active Learning in Random Subspaces. IEEE Trans. Syst. Man Cybern. Syst. 54 (5) (2024)
Xiaoxuan Sun, Bo Chen, Rundong Shi, Qian Yin, Ping Guo
A progressively-enhanced framework to broad networks for efficient recognition applications. Multim. Tools Appl. 82 (16) (2023)
Jiaxu Hou, Liao Zhu, Ping Guo
Event-Triggered Near Optimal Output Feedback Control for Constrained Discrete-Time Systems Via an Iterative Adaptive Algorithm. SMC (2023)
Liao Zhu, Ping Guo, Qinglai Wei
Synergetic learning for unknown nonlinear H∞ control using neural networks. Neural Networks 168 (2023)
Haifeng Sima, Feng Gao, Yudong Zhang, Junding Sun, Ping Guo
Collaborative optimization of spatial-spectrum parallel convolutional network (CO-PCN) for hyperspectral image classification. Int. J. Mach. Learn. Cybern. 14 (7) (2023)
Xiaoxuan Sun, Xiaodan Deng, Qian Yin, Ping Guo
An improved parameter learning methodology for RVFL based on pseudoinverse learners. Neural Comput. Appl. 35 (2) (2023)
Sulan Zhang, Jifu Zhang, Jianeng Li, Ping Guo, Witold Pedrycz
A user-guided reduction concept lattice and its algebraic structure. Expert Syst. Appl. 217 (2023)
Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King
Flexible Contribution Estimation Methods for Horizontal Federated Learning. IJCNN (2023)
Haifeng Sima, Jing Wang, Ping Guo, Junding Sun, Hongmin Liu, Mingliang Xu, Youfeng Zou
Composite Kernel of Mutual Learning on Mid-Level Features for Hyperspectral Image Classification. IEEE Trans. Cybern. 52 (11) (2022)
Qian Yin, Bingxin Xu, Kaiyan Zhou, Ping Guo
Bayesian Pseudoinverse Learners: From Uncertainty to Deterministic Learning. IEEE Trans. Cybern. 52 (11) (2022)
Hongbing Xia, Bo Zhao, Ping Guo
Synergetic learning structure-based neuro-optimal fault tolerant control for unknown nonlinear systems. Neural Networks 155 (2022)
Ping Guo, Jiaxu Hou, Bo Zhao
Methodologies of building synergetic learning systems. CIS (2022)
Mohammed A. B. Mahmoud, Ping Guo, Ahmed Fathy, Kan Li
SRCNN-PIL: Side Road Convolution Neural Network Based on Pseudoinverse Learning Algorithm. Neural Process. Lett. 53 (6) (2021)
Wenyi Zeng, Yue Xi, Qian Yin, Ping Guo
Weighted dual hesitant fuzzy set and its application in group decision making. Neurocomputing 458 (2021)
Yanan Liu, Yun Tian, Yang Xu, Shifeng Zhao, Yapei Huang, Yachun Fan, Fuqing Duan, Ping Guo
TPGN: A Time-Preference Gate Network for e-commerce purchase intention recognition. Knowl. Based Syst. 220 (2021)
Xiaodan Deng, Mohammed A. B. Mahmoud, Qian Yin, Ping Guo
An efficient and effective deep convolutional kernel pseudoinverse learner with multi-filter. Neurocomputing 457 (2021)
Ke Wang, Ping Guo
A Robust Automated Machine Learning System with Pseudoinverse Learning. Cogn. Comput. 13 (3) (2021)
Ke Wang, Ping Guo
An Ensemble Classification Model With Unsupervised Representation Learning for Driving Stress Recognition Using Physiological Signals. IEEE Trans. Intell. Transp. Syst. 22 (6) (2021)
Mohammed A. B. Mahmoud, Ping Guo
DNA sequence classification based on MLP with PILAE algorithm. Soft Comput. 25 (5) (2021)
Hussain Dawood, Hassan Dawood, Ping Guo, Rashid Mehmood, Ali Daud, Abdullah Alamri, Jalal S. Alowibdi
Probability weighted moments regularization based blind image De-blurring. Multim. Tools Appl. 79 (7-8) (2020)
Jiali Xu, Qian Yin, Ping Guo, Xin Zheng
Two-dimensional Multi-fiber Spectrum Image Correction Based on Machine Learning Techniques. CoRR (2020)
Ping Guo, Qian Yin
Synergetic Learning Systems: Concept, Architecture, and Algorithms. CoRR (2020)
Xiaoxuan Sun, Rundong Shi, Bo Zhao, Ping Guo
Boosting and Residual Learning Scheme with Pseudoinverse Learners. SMC (2020)
Mohammed A. B. Mahmoud, Ping Guo, Ke Wang
Pseudoinverse learning autoencoder with DCGAN for plant diseases classification. Multim. Tools Appl. 79 (35-36) (2020)
Yanping Wang, Xin Xin, Ping Guo
An Empirical Study of Pre-trained Embedding on Ultra-Fine Entity Typing. SMC (2020)
Yan Wang, Xin Xin, Ping Guo
Relation Extraction via Attention-Based CNNs using Token-Level Representations. CIS (2019)
Xiaoyu Dong, Xin Xin, Ping Guo
Chinese NER by Span-Level Self-Attention. CIS (2019)
Sibo Feng, Xiaodan Deng, Ping Guo, Bo Zhao, Qian Yin, Hongfeng Wang
An Ensemble Model for Error Modeling with Pseudoinverse Learning Algorithm. SMC (2019)
Wenyi Zeng, Guangchen Song, Qian Yin, Ping Guo
Some new Distance Measures of Hesitant Fuzzy Sets and its Application in Group Decision Making. CIS (2019)
Mohammed A. B. Mahmoud, Ping Guo
A Novel Method for Traffic Sign Recognition Based on DCGAN and MLP With PILAE Algorithm. IEEE Access 7 (2019)
Xiaodan Deng, Xiaoxuan Sun, Ping Guo, Qian Yin
Image Recognition Based on Combined Filters with Pseudoinverse Learning Algorithm. AIAI (2019)
Xiuling Zhou, Bingxin Xu, Ping Guo, Ning He
Multi-channel expected patch log likelihood for color image denoising. Neurocomputing 367 (2019)
Jiali Xu, Qian Yin, Ping Guo, Xin Zheng
Effective Pulsar Dispersion Measure Estimation Based on Progressive Probabilistic Hough Transform. CIS (2019)
Bingxin Xu, Ping Guo
Broad and Pseudoinverse Learning for Autoencoder. SMC (2018)
Li Si-Yao, Dongwei Ren, Zijian Hu, Junfeng Li, Qian Yin, Ping Guo
A Concatenated Residual Network for Image Deblurring. CoRR (2018)
Jie Gao, Xin Xin, Junshuai Liu, Rui Wang, Jing Lu, Biao Li, Xin Fan, Ping Guo
Fine-Grained Deep Knowledge-Aware Network for News Recommendation with Self-Attention. WI (2018)
Rui Wang, Ping Guo, Xin Fan, Biao Li, Wei Zhang, Xin Xin
Listwise Click-Through Rate Prediction with Item-Item Interactions. SMC (2018)
Jue Wang, Ping Guo, Xin Xin
Review of Pseudoinverse Learning Algorithm for Multilayer Neural Networks and Applications. ISNN (2018)
Zhen Wang, Qian Yin, Ping Guo, Xin Zheng
Flux Extraction Based on General Regression Neural Network for Two-Dimensional Spectral Image. HCI (28) (2018)
Xiaoqiao Zhang, Xiuling Zhou, Ping Guo
Hyperspectral Image Denoising Based on Low Rank and Expected Patch Log Likelihood. CIS (2018)
Shijia Li, Sibo Feng, Ping Guo, Qian Yin
A Hierarchical Model with Pseudoinverse Learning Algorithm Optimazation for Pulsar Candidate Selection. CEC (2018)
Wenyi Zeng, Yue Xi, Qian Yin, Ping Guo
Weighted Dual Hesitant Fuzzy Sets and Its Application in Group Decision Making. CIS (2018)
Bingxin Xu, Ping Guo
Pseudoinverse Learning Algorithom for Fast Sparse Autoencoder Training. CEC (2018)
Peng Wu, Qian Yin, Ping Guo
A Two-Dimensional Sky Background Model for LAMOST Based on Improved KICA. CIS (2018)
Cuihua Ma, Ping Guo, Xin Xin
Personalized Response Generation for Customer Service Agents. ISNN (2018)
Xiaodan Deng, Sibo Feng, Ping Guo, Qian Yin
Fast Image Recognition with Gabor Filter and Pseudoinverse Learning AutoEncoders. ICONIP (6) (2018)
Ping Guo, Xiuling Zhou, Ke Wang
PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward Neural Networks. CoRR (2018)
Ke Wang, Ping Guo, Xin Xin, Zebin Ye
Autoencoder, low rank approximation and pseudoinverse learning algorithm. SMC (2017)
Qiang Pan, Ping Guo, Xin Xin, Junshuai Liu
Extracting Company-Specific Keyphrases from News Media. CIS (2017)
Kuai Zhang, Xin Xin, Pei Luo, Ping Guo
Fine-grained news recommendation by fusing matrix factorization, topic analysis and knowledge graph representation. SMC (2017)
Hang Yu, Qian Yin, Ping Guo
Pulsar Bayesian Model: A Comprehensive Astronomical Data Fitting Model. ICONIP (1) (2017)
Hang Yu, Zhen Wang, Qian Yin, Ping Guo
A Comprehensive Study of Blind and Non-blind Deconvolution Methods Applied to Spectrum Extraction. CIS (2017)
Cuihua Ma, Ping Guo, Xin Xin, Xiaoyu Ma, Yanjie Liang, Shaomin Xing, Li Li, Shaozhuang Liu
Collaborative Response Content Recommendation for Customer Service Agents. ISNN (1) (2017)
Mingze Li, Hasitieer Haerken, Ping Guo, Fuqing Duan, Qian Yin, Xin Zheng
Two-dimensional spectral image calibration based on feed-forward neural network. IJCNN (2017)
Jian Hu, Xin Xin, Ping Guo
LSTM with Matrix Factorization for Road Speed Prediction. ISNN (1) (2017)
Li Si-Yao, Qian Yin, Ping Guo
Understanding and Eliminating the Large-kernel Effect in Blind Deconvolution. CoRR (2017)
Xiuling Zhou, Jing Wang, Ping Guo, C. L. Philip Chen
Mixture of Matrix Normal Distributions for Color Image Inpainting. ICONIP (3) (2017)
Hang Yu, Qian Yin, Ping Guo
Enlightening the Relationship Between Distribution and Regression Fitting. IFIP TC12 ICIS (2017)
Pei Luo, Xin Xin, Kuai Zhang, Ping Guo, Yang Yu, Zichao Wang
Predicting the number of driving service orders in fine-grained regions by an ensemble multi-view-based model. SMC (2017)
Sibo Feng, Shijia Li, Ping Guo, Qian Yin
Image Recognition with Histogram of Oriented Gradient Feature and Pseudoinverse Learning AutoEncoders. ICONIP (6) (2017)
Ping Guo, Fuqing Duan, Pei Wang, Yao Yao, Xin Xin
Pulsar Candidate Identification with Artificial Intelligence Techniques. CoRR (2017)
Bingxin Xu, Qian Yin, Ping Guo, Hongzhe Liu
Image representation via sub-dictionary based sparse coding. IJCNN (2016)
Ke Wang, Ping Guo, A-Li Luo, Xin Xin, Fuqing Duan
Deep neural networks with local connectivity and its application to astronomical spectral data. SMC (2016)
Yao Yao, Xin Xin, Ping Guo
A rank minimization-based late fusion method for multi-label image annotation. ICPR (2016)
Min Yan, Qian Yin, Ping Guo
Image stitching with single-hidden layer feedforward neural networks. IJCNN (2016)
Sulan Zhang, Jifu Zhang, Ping Guo, Meng Chu, Kai-Hsiung Chang
A FWCL-based method for visual vocabulary formation. Multim. Tools Appl. 75 (1) (2016)
Ke Wang, Ping Guo, Qian Yin, A-Li Luo, Xin Xin
A pseudoinverse incremental algorithm for fast training deep neural networks with application to spectra pattern recognition. IJCNN (2016)
Yuanlong Wang, Ping Guo, Fuqing Duan
A fast ray tracing algorithm based on a hybrid structure. Multim. Tools Appl. 75 (4) (2016)
Peng Ji, Xin Xin, Ping Guo
Fine-Grained Real Estate Estimation Based on Mixture Models. ISNN (2016)
Yao Yao, Xin Xin, Ping Guo
Pulsar Candidate Selection by Assembling Positive Sample Emphasized Classifiers. CIS (2016)
Peng Wu, Qian Yin, Ping Guo
Kernel selection with evolutionary algorithm for multiple kernel independent component analysis. IJCNN (2016)
Jianjun Xie, Junhong Li, Hong Wang, Wenyi Zeng, Ping Guo
The Methods for Two-Dimensional Fiber Spectra Extraction. CIS (2016)
Liang Wang, Chao Shen, Fuqing Duan, Ping Guo
Energy-Based Multi-plane Detection from 3D Point Clouds. ICONIP (2) (2016)
Ping Guo, Jian Yu, Qian Yin
Long Exposure Point Spread Function Modeling with Gaussian Processes. ISNN (2016)
Yanjun Li, Ping Guo, Xin Xin
A Divide and Conquer Method for Automatic Image Annotation. CIS (2016)
Yanjun Li, Xin Xin, Ping Guo
Neural Networks with Marginalized Corrupted Hidden Layer. ICONIP (3) (2015)
Hassan Dawood, Hussain Dawood, Ping Guo
Removal of random-valued impulse noise by local statistics. Multim. Tools Appl. 74 (24) (2015)
Yiren Wang, Hassan Dawood, Qian Yin, Ping Guo
A comparative study of different feature mapping methods for image annotation. ICACI (2015)
Yao Yao, Ping Guo, Xin Xin, Ziheng Jiang
Erratum to: Image Fusion by Hierarchical Joint Sparse Representation. Cogn. Comput. 7 (5) (2015)
Hassan Dawood, Hussain Dawood, Ping Guo
A Hybrid Image Feature Descriptor for Classification. CIS (2015)
Peng Wu, Fuqing Duan, Ping Guo
A pre-selecting base kernel method in multiple kernel learning. Neurocomputing 165 (2015)
Xin Xin, Zhirun Liu, Chin-Yew Lin, Heyan Huang, Xiaochi Wei, Ping Guo
Cross-Domain Collaborative Filtering with Review Text. IJCAI (2015)
Bingxin Xu, Ping Guo, C. L. Philip Chen
An adaptive regularization method for sparse representation. Integr. Comput. Aided Eng. 21 (1) (2014)
Deqing Li, Wenyi Zeng, Junhong Li, Ping Guo
Balance Function Analysis in Variable Weight Decision Making. CIS (2014)
Junhong Li, Wenyi Zeng, Ping Guo
Interval-valued intuitionistic trapezoidal fuzzy number and its application. SMC (2014)
Haifeng Sima, Ping Guo
Texture Superpixels Merging by Color-texture Histograms for Color Image Segmentation. KSII Trans. Internet Inf. Syst. 8 (7) (2014)
Song Lin, Ping Guo, Xin Xin
Supervised topic regression via experts. IJCNN (2014)
Yanjun Li, Ping Guo, Xin Xin
An Improved Separating Hyperplane Method with Application to Embedded Intelligent Devices. ICONIP (2) (2014)
Xiao Zhi Gao, Jing Wang, Jarno M. A. Tanskanen, Rongfang Bie, Xiaolei Wang, Ping Guo, Kai Zenger
Optimal Classification of Epileptic EEG Signals Using Neural Networks and Harmony Search Methods. J. Softw. 9 (1) (2014)
Qian Yin, Ruiyi Luo, Ping Guo
Software Fault Estimation Framework based on aiNet. Int. J. Comput. Intell. Syst. 7 (4) (2014)
Bu Chen, Qian Yin, Ping Guo
A Study of Deep Belief Network Based Chinese Speech Emotion Recognition. CIS (2014)
Yao Yao, Ping Guo, Xin Xin, Ziheng Jiang
Image Fusion by Hierarchical Joint Sparse Representation. Cogn. Comput. 6 (3) (2014)
Hussain Dawood, Hassan Dawood, Ping Guo
Removal of high-intensity impulse noise by Weber's law Noise Identifier. Pattern Recognit. Lett. 49 (2014)
Xin Zheng, Chenlei Lv, Qingqing Xu, Ping Guo
Image Up-Scaling: Based on Self Similarity and Local Information. CIS (2014)
Peng Wu, Qian Yin, Ping Guo
Method of Evolving Non-stationary Multiple Kernel Learning. ICONIP (2) (2014)
Jing Wang, Xiao Zhi Gao, Ping Guo
Feature extraction based on sparse representation with application to epileptic EEG classification. Int. J. Imaging Syst. Technol. 23 (2) (2013)
Xiuling Zhou, Ping Guo, C. L. Philip Chen
Covariance Matrix Estimation with Multi-Regularization Parameters based on MDL Principle. Neural Process. Lett. 38 (2) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ping Guo