Guang-Bin Huang

According to our database, Guang-Bin Huang authored at least 197 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

DeeptDCS: Deep Learning-Based Estimation of Currents Induced During Transcranial Direct Current Stimulation.

Xiaofan Jia, Sadeed Bin Sayed, Nahian Ibn Hasan, Luis J. Gomez, Guang-Bin Huang, Abdulkadir C. Yucel

IEEE Trans. Biomed. Eng., April, 2023

DocBinFormer: A Two-Level Transformer Network for Effective Document Image Binarization.

Risab Biswas, Swalpa Kumar Roy, Ning Wang, Umapada Pal, Guang-Bin Huang

CoRR, 2023

A Comparative Study on Design and Usability of Cryptographic Libraries.

Junwei Luo, Xuechao Yang, Xun Yi, Fengling Han, Iqbal Gondal, Guang-Bin Huang

Proceedings of the 2023 Australasian Computer Science Week, 2023

2022

Real-Time Illegal Parking Detection Algorithm in Urban Environments.

Xinggan Peng, Rongzihan Song, Qi Cao, Yue Li, Dongshun Cui, Xiaofan Jia, Zhiping Lin, Guang-Bin Huang

IEEE Trans. Intell. Transp. Syst., 2022

Efficient joint model learning, segmentation and model updating for visual tracking.

Wei Han, Chamara Kasun Liyanaarachchi Lekamalage, Guang-Bin Huang

Neural Networks, 2022

Motion Embedding for On-road Motion Object Detection for Intelligent Vehicle Systems.

Rongzihan Song, L. L. Chamara Kasun, Xinggan Peng, Zhiping Lin, Qi Cao, Guang-Bin Huang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Discriminative Adversarial Learning for Speaker Independent Emotion Recognition.

L. L. Chamara Kasun, Chung Soo Ahn, Jagath C. Rajapakse, Zhiping Lin, Guang-Bin Huang

Proceedings of the Interspeech 2022, 2022

Cascaded Adversarial Learning for Speaker Independent Emotion Recognition.

Chamara Kasun Liyanaarachchi Lekamalage, Zhiping Lin, Guang-Bin Huang, Jagath Chandana Rajapakse

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

NOx Measurements in Vehicle Exhaust Using Advanced Deep ELM Networks.

Tinghui Ouyang, Chongwu Wang, Zhangjun Yu, Robert Stach, Boris Mizaikoff, Guang-Bin Huang, Qi-Jie Wang

IEEE Trans. Instrum. Meas., 2021

Slice-Based Online Convolutional Dictionary Learning.

Yijie Zeng, Jichao Chen, Guang-Bin Huang

IEEE Trans. Cybern., 2021

Label propagation via local geometry preserving for deep semi-supervised image recognition.

Yuanyuan Qing, Yijie Zeng, Guang-Bin Huang

Neural Networks, 2021

End-to-end novel visual categories learning via auxiliary self-supervision.

Yuanyuan Qing, Yijie Zeng, Qi Cao, Guang-Bin Huang

Neural Networks, 2021

Dual distance adaptive multiview clustering.

Jichao Chen, Guang-Bin Huang

Neurocomputing, 2021

2020

Learning Representations With Local and Global Geometries Preserved for Machine Fault Diagnosis.

Yue Li, Chamara Kasun Liyanaarachchi Lekamalage, Tianchi Liu, Pin-An Chen, Guang-Bin Huang

IEEE Trans. Ind. Electron., 2020

Blind Noisy Image Quality Assessment Using Sub-Band Kurtosis.

Chenwei Deng, Shuigen Wang, Alan C. Bovik, Guang-Bin Huang, Baojun Zhao

IEEE Trans. Cybern., 2020

R-ELMNet: Regularized extreme learning machine network.

Guanghao Zhang, Yue Li, Dongshun Cui, Shangbo Mao, Guang-Bin Huang

Neural Networks, 2020

ELM embedded discriminative dictionary learning for image classification.

Yijie Zeng, Yue Li, Jichao Chen, Xiaofan Jia, Guang-Bin Huang

Neural Networks, 2020

Simultaneously learning affinity matrix and data representations for machine fault diagnosis.

Yue Li, Yijie Zeng, Tianchi Liu, Xiaofan Jia, Guang-Bin Huang

Neural Networks, 2020

Special issue on extreme learning machine and deep learning networks.

Zhihong Man, Guang-Bin Huang

Neural Comput. Appl., 2020

Unsupervised feature learning with sparse Bayesian auto-encoding based extreme learning machine.

Guanghao Zhang, Dongshun Cui, Shangbo Mao, Guang-Bin Huang

Int. J. Mach. Learn. Cybern., 2020

Clustering via Adaptive and Locality-constrained Graph Learning and Unsupervised ELM.

Yijie Zeng, Jichao Chen, Yue Li, Yuanyuan Qing, Guang-Bin Huang

Neurocomputing, 2020

Deep and wide feature based extreme learning machine for image classification.

Yuanyuan Qing, Yijie Zeng, Yue Li, Guang-Bin Huang

Neurocomputing, 2020

Learning local discriminative representations via extreme learning machine for machine fault diagnosis.

Yue Li, Yijie Zeng, Yuanyuan Qing, Guang-Bin Huang

Neurocomputing, 2020

Unsupervised feature selection based extreme learning machine for clustering.

Jichao Chen, Yijie Zeng, Yue Li, Guang-Bin Huang

Neurocomputing, 2020

Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment.

Enmei Tu, Guanghao Zhang, Shangbo Mao, Lily Rachmawati, Guang-Bin Huang

CoRR, 2020

Robust Real-time Face Tracking for People Wearing Face Masks.

Xinggan Peng, Huiping Zhuang, Guang-Bin Huang, Haizhou Li, Zhiping Lin

Proceedings of the 16th International Conference on Control, 2020

2019

Content-Insensitive Blind Image Blurriness Assessment Using Weibull Statistics and Sparse Extreme Learning Machine.

Chenwei Deng, Shuigen Wang, Zhen Li, Guang-Bin Huang, Weisi Lin

IEEE Trans. Syst. Man Cybern. Syst., 2019

Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation.

Lei Zhang, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, David Zhang

IEEE Trans. Neural Networks Learn. Syst., 2019

Guest Editorial: Special Issue on New Trends in Smart Chips and Smart Hardware.

Guang-Bin Huang, E. S. Eleftheriou, Dhireesha Kudithipudi, Jonathan Tapson, Hao Yu

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Taste Recognition in E-Tongue Using Local Discriminant Preservation Projection.

Lei Zhang, Xuehan Wang, Guang-Bin Huang, Tao Liu, Xiaoheng Tan

IEEE Trans. Cybern., 2019

Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors].

Osvaldo Simeone, Bipin Rajendran, André Grüning, Evangelos Eleftheriou, Mike Davies, Sophie Denève, Guang-Bin Huang

IEEE Signal Process. Mag., 2019

Quantitative Analysis of Gas Phase IR Spectra Based on Extreme Learning Machine Regression Model.

Tinghui Ouyang, Chongwu Wang, Zhangjun Yu, Robert Stach, Boris Mizaikoff, Bo Liedberg, Guang-Bin Huang, Qi-Jie Wang

Sensors, 2019

GenELM: Generative Extreme Learning Machine feature representation.

Shichao Zhou, Chenwei Deng, Wenzheng Wang, Guang-Bin Huang, Baojun Zhao

Neurocomputing, 2019

Texture Recognition on Metal Surface using Order-Less Scale Invariant GLAC.

Shangbo Mao, Vidhya Natarajan, Liang-Tien Chia, Guang-Bin Huang

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology.

Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang

IEEE Trans. Intell. Transp. Syst., 2018

An adaptive graph learning method based on dual data representations for clustering.

Tianchi Liu, Chamara Kasun Liyanaarachchi Lekamalage, Guang-Bin Huang, Zhiping Lin

Pattern Recognit., 2018

ELM based smile detection using Distance Vector.

Dongshun Cui, Guang-Bin Huang, Tianchi Liu

Pattern Recognit., 2018

Introduction to the special issue on deep reinforcement learning: An editorial.

Ron Sun, David Silver, Gerald Tesauro, Guang-Bin Huang

Neural Networks, 2018

Extreme Learning Machine for Joint Embedding and Clustering.

Tianchi Liu, Liyanaarachchi Lekamalage Chamara Kasun, Guang-Bin Huang, Zhiping Lin

Neurocomputing, 2018

Hierarchical extreme learning machines.

Guang-Bin Huang, Q. M. Jonathan Wu, Donald C. Wunsch II

Neurocomputing, 2018

Conditional Random Mapping for Effective ELM Feature Representation.

Cheng Li, Chenwei Deng, Shichao Zhou, Baojun Zhao, Guang-Bin Huang

Cogn. Comput., 2018

Generating Word Embeddings from an Extreme Learning Machine for Sentiment Analysis and Sequence Labeling Tasks.

Paula Lauren, Guangzhi Qu, Jucheng Yang, Paul Watta, Guang-Bin Huang, Amaury Lendasse

Cogn. Comput., 2018

Octree-based Convolutional Autoencoder Extreme Learning Machine for 3D Shape Classification.

Jichao Chen, Yijie Zeng, Siqi Wang, Soh Ling Min, Guang-Bin Huang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Data Driven Convolutional Sparse Coding for Visual Recognition.

Yijie Zeng, Jichao Chen, Guang-Bin Huang

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sparse Bayesian Learning for Extreme Learning Machine Auto-encoder.

Guanghao Zhang, Dongshun Cui, Shangbo Mao, Guang-Bin Huang

Proceedings of ELM 2018, 2018

2017

Efficient and Rapid Machine Learning Algorithms for Big Data and Dynamic Varying Systems.

Fuchun Sun, Guang-Bin Huang, Q. M. Jonathan Wu, Shiji Song, Donald C. Wunsch II

IEEE Trans. Syst. Man Cybern. Syst., 2017

Dimension Reduction by Minimum Error Minimax Probability Machine.

Shiji Song, Yanshang Gong, Yuli Zhang, Gao Huang, Guang-Bin Huang

IEEE Trans. Syst. Man Cybern. Syst., 2017

NMF-Based Image Quality Assessment Using Extreme Learning Machine.

Shuigen Wang, Chenwei Deng, Weisi Lin, Guang-Bin Huang, Baojun Zhao

IEEE Trans. Cybern., 2017

Advances in extreme learning machines (ELM2015).

Amaury Lendasse, Chi-Man Vong, Kar-Ann Toh, Yoan Miche, Guang-Bin Huang

Neurocomputing, 2017

Effective visual tracking by pairwise metric learning.

Chenwei Deng, Baoxian Wang, Weisi Lin, Guang-Bin Huang, Baojun Zhao

Neurocomputing, 2017

A theoretical study of the relationship between an ELM network and its subnetworks.

Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Shangbo Mao, Guang-Bin Huang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A low-dimensional vector representation for words using an extreme learning machine.

Paula Lauren, Guangzhi Qu, Guang-Bin Huang, Paul Watta, Amaury Lendasse

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Multi layer multi objective extreme learning machine.

Chamara Kasun Liyanaarachchi Lekamalage, Kang Song, Guang-Bin Huang, Dongshun Cui, Ken Liang

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Elmnet: Feature learning using extreme learning machines.

Dongshun Cui, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Guanghao Zhang, Wei Han

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deformable and Occluded Object Tracking via Graph Learning.

Wei Han, Guang-Bin Huang, Dongshun Cui

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Classification of Foreign Object Debris Using Integrated Visual Features and Extreme Learning Machine.

Kai Hu, Dongshun Cui, Yuan Zhang, Chunhong Cao, Fen Xiao, Guang-Bin Huang

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016

Extreme Learning Machine for Multilayer Perceptron.

Jiexiong Tang, Chenwei Deng, Guang-Bin Huang

IEEE Trans. Neural Networks Learn. Syst., 2016

Driver Distraction Detection Using Semi-Supervised Machine Learning.

Tianchi Liu, Yan Yang, Guang-Bin Huang, Yong Kiang Yeo, Zhiping Lin

IEEE Trans. Intell. Transp. Syst., 2016

Dimension Reduction With Extreme Learning Machine.

Liyanaarachchi Lekamalage Chamara Kasun, Yan Yang, Guang-Bin Huang, Zhengyou Zhang

IEEE Trans. Image Process., 2016

Robust Extreme Learning Machine With its Application to Indoor Positioning.

Xiaoxuan Lu, Han Zou, Hongming Zhou, Lihua Xie, Guang-Bin Huang

IEEE Trans. Cybern., 2016

A Fast SVD-Hidden-nodes based Extreme Learning Machine for Large-Scale Data Analytics.

Wan-Yu Deng, Zuo Bai, Guang-Bin Huang, Qing-Hua Zheng

Neural Networks, 2016

Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent Plasticity.

Haoqi Sun, Olga Sourina, Guang-Bin Huang

Neural Comput., 2016

Guest editorial: Special issue on Extreme learning machine and applications (II).

Zhihong Man, Guang-Bin Huang

Neural Comput. Appl., 2016

Guest editorial: Special issue on Extreme learning machine and applications (I).

Zhihong Man, Guang-Bin Huang

Neural Comput. Appl., 2016

Fast and Accurate Spatiotemporal Fusion Based Upon Extreme Learning Machine.

Xun Liu, Chenwei Deng, Shuigen Wang, Guang-Bin Huang, Baojun Zhao, Paula Lauren

IEEE Geosci. Remote. Sens. Lett., 2016

Gradient-based no-reference image blur assessment using extreme learning machine.

Shuigen Wang, Chenwei Deng, Baojun Zhao, Guang-Bin Huang, Baoxian Wang

Neurocomputing, 2016

Fusing audio, visual and textual clues for sentiment analysis from multimodal content.

Soujanya Poria, Erik Cambria, Newton Howard, Guang-Bin Huang, Amir Hussain

Neurocomputing, 2016

Advances in extreme learning machines (ELM2014).

Amaury Lendasse, Chi-Man Vong, Yoan Miche, Guang-Bin Huang

Neurocomputing, 2016

A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks.

Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang

CoRR, 2016

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey.

Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang

CoRR, 2016

An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining.

Shangbo Mao, Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang

CoRR, 2016

Two-stage structured learning approach for stable occupancy detection.

Tianchi Liu, Yue Li, Zuo Bai, Jaydeep De, Cao Vinh Le, Zhiping Lin, Shih-Hsiang Lin, Guang-Bin Huang, Dongshun Cui

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Smile detection using Pair-wise Distance Vector and Extreme Learning Machine.

Dongshun Cui, Guang-Bin Huang, Tianchi Liu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Investigation on driver stress utilizing ECG signals with on-board navigation systems in use.

Ya Jun Yu, Zhan Yang, Beom-Seok Oh, Yong Kiang Yeo, Qinglai Liu, Guang-Bin Huang, Zhiping Lin

Proceedings of the 14th International Conference on Control, 2016

2015

Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme Learning Machine.

Jiexiong Tang, Chenwei Deng, Guang-Bin Huang, Baojun Zhao

IEEE Trans. Geosci. Remote. Sens., 2015

Stacked Extreme Learning Machines.

Hongming Zhou, Guang-Bin Huang, Zhiping Lin, Han Wang, Yeng Chai Soh

IEEE Trans. Cybern., 2015

Towards an intelligent framework for multimodal affective data analysis.

Soujanya Poria, Erik Cambria, Amir Hussain, Guang-Bin Huang

Neural Networks, 2015

Trends in extreme learning machines: A review.

Gao Huang, Guang-Bin Huang, Shiji Song, Keyou You

Neural Networks, 2015

Multiple kernel extreme learning machine.

Xinwang Liu, Lei Wang, Guang-Bin Huang, Jian Zhang, Jianping Yin

Neurocomputing, 2015

Advances in Extreme Learning Machines (ELM2013).

Amaury Lendasse, Qing He, Yoan Miché, Guang-Bin Huang

Neurocomputing, 2015

What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt's Dream and John von Neumann's Puzzle.

Guang-Bin Huang

Cogn. Comput., 2015

New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial].

Guang-Bin Huang, Erik Cambria, Kar-Ann Toh, Bernard Widrow, Zongben Xu

IEEE Comput. Intell. Mag., 2015

New Trends of Learning in Computational Intelligence [Guest Editorial].

Guang-Bin Huang, Erik Cambria, Kar-Ann Toh, Bernard Widrow, Zongben Xu

IEEE Comput. Intell. Mag., 2015

Local Receptive Fields Based Extreme Learning Machine.

Guang-Bin Huang, Zuo Bai, Liyanaarachchi Lekamalage Chamara Kasun, Chi-Man Vong

IEEE Comput. Intell. Mag., 2015

Extreme learning machines: new trends and applications.

Chenwei Deng, Guang-Bin Huang, Jia Xu, Jiexiong Tang

Sci. China Inf. Sci., 2015

Driver Drowsiness Detection Based on Novel Eye Openness Recognition Method and Unsupervised Feature Learning.

Wei Han, Yan Yang, Guang-Bin Huang, Olga Sourina, Felix Klanner, Cornelia Denk

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Cluster Regularized Extreme Learning Machine for Detecting Mixed-Type Distraction in Driving.

Tianchi Liu, Yan Yang, Guang-Bin Huang, Zhiping Lin, Felix Klanner, Cornelia Denk, Ralph H. Rasshofer

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Generic Object Recognition with Local Receptive Fields Based Extreme Learning Machine.

Zuo Bai, Liyanaarachchi Lekamalage Chamara Kasun, Guang-Bin Huang

Proceedings of the INNS Conference on Big Data 2015, 2015

Hierarchical Extreme Learning Machine for unsupervised representation learning.

Wentao Zhu, Jun Miao, Laiyun Qing, Guang-Bin Huang

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Runtime detection of activated polychronous neuronal group towards its spatiotemporal analysis.

Haoqi Sun, Yan Yang, Olga Sourina, Guang-Bin Huang

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Estimating vigilance from EEG using manifold clustering guided by instantaneous lapse rate.

Haoqi Sun, Yan Yang, Olga Sourina, Guang-Bin Huang, Felix Klanner, Cornelia Denk, Ralph H. Rasshofer

Proceedings of the 10th International Conference on Information, 2015

2014

Sparse Extreme Learning Machine for Classification.

Zuo Bai, Guang-Bin Huang, Danwei Wang, Han Wang, M. Brandon Westover

IEEE Trans. Cybern., 2014

Learning to Rank with Extreme Learning Machine.

Weiwei Zong, Guang-Bin Huang

Neural Process. Lett., 2014

EmoSenticSpace: A novel framework for affective common-sense reasoning.

Soujanya Poria, Alexander F. Gelbukh, Erik Cambria, Amir Hussain, Guang-Bin Huang

Knowl. Based Syst., 2014

Sentic patterns: Dependency-based rules for concept-level sentiment analysis.

Soujanya Poria, Erik Cambria, Grégoire Winterstein, Guang-Bin Huang

Knowl. Based Syst., 2014

Advances in extreme learning machines (ELM2012).

Amaury Lendasse, Qing He, Yoan Miche, Guang-Bin Huang

Neurocomputing, 2014

Pulling back error to the hidden-node parameter technology: Single-hidden-layer feedforward network without output weight.

Yimin Yang, Q. M. Jonathan Wu, Guangbin Huang, Yaonan Wang

CoRR, 2014

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels.

Guang-Bin Huang

Cogn. Comput., 2014

A fast learning algorithm for multi-layer extreme learning machine.

Jiexiong Tang, Chenwei Deng, Guang-Bin Huang, Junhui Hou

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Random feature subspace ensemble based Extreme Learning Machine for liver tumor detection and segmentation.

Weimin Huang, Yongzhong Yang, Zhiping Lin, Guang-Bin Huang, Jiayin Zhou, Yuping Duan, Wei Xiong

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Dynamic Extreme Learning Machine and Its Approximation Capability.

Rui Zhang, Yuan Lan, Guang-Bin Huang, Zongben Xu, Yeng Chai Soh

IEEE Trans. Cybern., 2013

An extreme learning machine approach for speaker recognition.

Yuan Lan, Zongjiang Hu, Yeng Chai Soh, Guang-Bin Huang

Neural Comput. Appl., 2013

Weighted extreme learning machine for imbalance learning.

Weiwei Zong, Guang-Bin Huang, Yiqiang Chen

Neurocomputing, 2013

Advances in Extreme Learning Machines (ELM2011).

Guang-Bin Huang, Dianhui Wang

Neurocomputing, 2013

Silicon spiking neurons for hardware implementation of extreme learning machines.

Arindam Basu, Sun Shuo, Hongming Zhou, Meng-Hiot Lim, Guang-Bin Huang

Neurocomputing, 2013

Extreme Learning Machines.

Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu

IEEE Intell. Syst., 2013

Voting base online sequential extreme learning machine for multi-class classification.

Jiuwen Cao, Zhiping Lin, Guang-Bin Huang

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Liver tumor detection and segmentation using kernel-based extreme learning machine.

Weimin Huang, Ning Li, Zhiping Lin, Guang-Bin Huang, Weiwei Zong, Jiayin Zhou, Yuping Duan

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

A novel NMF-based image quality assessment metric using extreme learning machine.

Shuigen Wang, Chenwei Deng, Weisi Lin, Guang-Bin Huang

Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

Computation using mismatch: Neuromorphic extreme learning machines.

Enyi Yao, Shaista Hussain, Arindam Basu, Guang-Bin Huang

Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012

Fast Construction of Single-Hidden-Layer Feedforward Networks.

Kang Li, Guang-Bin Huang, Shuzhi Sam Ge

Proceedings of the Handbook of Natural Computing, 2012

Extreme Learning Machine for Regression and Multiclass Classification.

Guang-Bin Huang, Hongming Zhou, Xiaojian Ding, Rui Zhang

IEEE Trans. Syst. Man Cybern. Part B, 2012

Global Convergence of Online BP Training With Dynamic Learning Rate.

Rui Zhang, Zongben Xu, Guang-Bin Huang, Dianhui Wang

IEEE Trans. Neural Networks Learn. Syst., 2012

Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes.

Rui Zhang, Yuan Lan, Guang-Bin Huang, Zongben Xu

IEEE Trans. Neural Networks Learn. Syst., 2012

An Intelligent Scoring System and Its Application to Cardiac Arrest Prediction.

Nan Liu, Zhiping Lin, Jiuwen Cao, Zhixiong Koh, Tongtong Zhang, Guang-Bin Huang, Wee Ser, Marcus Eng Hock Ong

IEEE Trans. Inf. Technol. Biomed., 2012

Editorial.

Xi-Zhao Wang, Dianhui Wang, Guang-Bin Huang

Soft Comput., 2012

Self-Adaptive Evolutionary Extreme Learning Machine.

Jiuwen Cao, Zhiping Lin, Guang-Bin Huang

Neural Process. Lett., 2012

Voting based extreme learning machine.

Jiuwen Cao, Zhiping Lin, Guang-Bin Huang, Nan Liu

Inf. Sci., 2012

Credit risk evaluation with extreme learning machine.

Hongming Zhou, Yuan Lan, Yeng Chai Soh, Guang-Bin Huang, Rui Zhang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Extreme learning machines for intrusion detection.

Chi Cheng, Wee Peng Tay, Guang-Bin Huang

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Online Sequential Learning based on Enhanced Extreme Learning Machine using Left or Right Pseudo-inverse.

Weiwei Zong, Yuan Lan, Guang-Bin Huang

Proceedings of the ICPRAM 2012, 2012

Receding Horizon Cache and Extreme Learning Machine based Reinforcement Learning.

Zhifei Shao, Meng Joo Er, Guang-Bin Huang

Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

Extreme Learning Machine based fast object recognition.

Jiantao Xu, Hongming Zhou, Guang-Bin Huang

Proceedings of the 15th International Conference on Information Fusion, 2012

Large scale wireless indoor localization by clustering and Extreme Learning Machine.

Wendong Xiao, Peidong Liu, Wee-Seng Soh, Guang-Bin Huang

Proceedings of the 15th International Conference on Information Fusion, 2012

Discrete Wavelet Transform coefficients for emotion recognition from EEG signals.

Rendi E. J. Yohanes, Wee Ser, Guang-Bin Huang

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A semi-automatic approach to the segmentation of liver parenchyma from 3D CT images with Extreme Learning Machine.

Weimin Huang, Zu Ming Tan, Zhiping Lin, Guang-Bin Huang, Jiayin Zhou, Chee-Kong Chui, Yi Su, Stephen K. Y. Chang

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Patient Outcome Prediction with Heart Rate Variability and Vital Signs.

Nan Liu, Zhiping Lin, Zhixiong Koh, Guang-Bin Huang, Wee Ser, Marcus Eng Hock Ong

J. Signal Process. Syst., 2011

Composite Function Wavelet Neural Networks with Differential Evolution and Extreme Learning Machine.

Jiuwen Cao, Zhiping Lin, Guang-Bin Huang

Neural Process. Lett., 2011

Extreme learning machines: a survey.

Guang-Bin Huang, Dianhui Wang, Yuan Lan

Int. J. Mach. Learn. Cybern., 2011

Face recognition based on extreme learning machine.

Weiwei Zong, Guang-Bin Huang

Neurocomputing, 2011

Error tolerance based support vector machine for regression.

Guoqi Li, Changyun Wen, Guang-Bin Huang, Yan Chen

Neurocomputing, 2011

Advances in extreme learning machines (ELM2010).

Guang-Bin Huang, Dianhui Wang

Neurocomputing, 2011

Extended sequential adaptive fuzzy inference system for classification problems.

Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, Guang-She Zhao

Evol. Syst., 2011

Face Recognition Based on Kernelized Extreme Learning Machine.

Weiwei Zong, Hongming Zhou, Guang-Bin Huang, Zhiping Lin

Proceedings of the Autonomous and Intelligent Systems - Second International Conference, 2011

Extreme Learning Machine with Adaptive Growth of Hidden Nodes and Incremental Updating of Output Weights.

Rui Zhang, Yuan Lan, Guang-Bin Huang, Yeng Chai Soh

Proceedings of the Autonomous and Intelligent Systems - Second International Conference, 2011

2010

Robust Global Exponential Synchronization of Uncertain Chaotic Delayed Neural Networks via Dual-Stage Impulsive Control.

Huaguang Zhang, Tiedong Ma, Guang-Bin Huang, Zhiliang Wang

IEEE Trans. Syst. Man Cybern. Part B, 2010

Novel Delay-Dependent Robust Stability Analysis for Switched Neutral-Type Neural Networks With Time-Varying Delays via SC Technique.

Huaguang Zhang, Zhenwei Liu, Guang-Bin Huang

IEEE Trans. Syst. Man Cybern. Part B, 2010

Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay.

Huaguang Zhang, Zhenwei Liu, Guang-Bin Huang, Zhanshan Wang

IEEE Trans. Neural Networks, 2010

Constructive hidden nodes selection of extreme learning machine for regression.

Yuan Lan, Yeng Chai Soh, Guang-Bin Huang

Neurocomputing, 2010

Two-stage extreme learning machine for regression.

Yuan Lan, Yeng Chai Soh, Guang-Bin Huang

Neurocomputing, 2010

Optimization method based extreme learning machine for classification.

Guang-Bin Huang, Xiaojian Ding, Hongming Zhou

Neurocomputing, 2010

Composite function wavelet neural networks with extreme learning machine.

Jiuwen Cao, Zhiping Lin, Guang-Bin Huang

Neurocomputing, 2010

Random search enhancement of error minimized extreme learning machine.

Yuan Lan, Yeng Chai Soh, Guang-Bin Huang

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems.

Hai-Jun Rong, Guang-Bin Huang, Narasimhan Sundararajan, Paramasivan Saratchandran

IEEE Trans. Syst. Man Cybern. Part B, 2009

Error Minimized Extreme Learning Machine With Growth of Hidden Nodes and Incremental Learning.

Guorui Feng, Guang-Bin Huang, Qingping Lin, Robert Kheng Leng Gay

IEEE Trans. Neural Networks, 2009

Ensemble of online sequential extreme learning machine.

Yuan Lan, Yeng Chai Soh, Guang-Bin Huang

Neurocomputing, 2009

Systemical convergence rate analysis of convex incremental feedforward neural networks.

Lei Chen, Guang-Bin Huang, Hung Keng Pung

Neurocomputing, 2009

A constructive enhancement for Online Sequential Extreme Learning Machine.

Yuan Lan, Yeng Chai Soh, Guang-Bin Huang

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

Reply to "Comments on "The Extreme Learning Machine"".

Guang-Bin Huang

IEEE Trans. Neural Networks, 2008

Intelligent Mobile Agents for Large-Scale Collaborative Virtual Environment.

Qingping Lin, Liang Zhang, Sun Ding, Guorui Feng, Guangbin Huang

Int. J. Virtual Real., 2008

Incremental extreme learning machine with fully complex hidden nodes.

Guang-Bin Huang, Ming-Bin Li, Lei Chen, Chee Kheong Siew

Neurocomputing, 2008

Enhanced random search based incremental extreme learning machine.

Guang-Bin Huang, Lei Chen

Neurocomputing, 2008

Extreme learning machine for multi-categories classification applications.

Hai-Jun Rong, Guang-Bin Huang, Yew-Soon Ong

Proceedings of the International Joint Conference on Neural Networks, 2008

Extreme Learning Machine based bacterial protein subcellular localization prediction.

Yuan Lan, Yeng Chai Soh, Guang-Bin Huang

Proceedings of the International Joint Conference on Neural Networks, 2008

Patient classification based on pre-hospital heart rate variability.

Pavitra Padmanabhan, Zhiping Lin, Guang-Bin Huang, Marcus Eng Hock Ong

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008

2007

Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis.

Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran

IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Improved GAP-RBF network for classification problems.

Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran

Neurocomputing, 2007

Convex incremental extreme learning machine.

Guang-Bin Huang, Lei Chen

Neurocomputing, 2007

An Autonomous Decentralized Multi-Server Framework for Large Scale Collaborative Virtual Environments.

Liang Zhang, Qingping Lin, Robert K. L. Gay, Guangbin Huang, Norman Neo

Int. J. Image Graph., 2007

Grid-based large-scale Web3D collaborative virtual environment.

Qingping Lin, Hoon Kang Neo, Liang Zhang, Guangbin Huang, Robert K. L. Gay

Proceedings of the Proceeding of the Twelfth International Conference on 3D Web Technology, 2007

Solving Mahalanobis Ellipsoidal Learning Machine Via Second Order Cone Programming.

Xunkai Wei, Yinghong Li, Yue Feng, Guangbin Huang

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007

Minimum Mahalanobis Enclosing Ellipsoid Machine for Pattern Classification.

Xunkai Wei, Yinghong Li, Yue Feng, Guangbin Huang

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007

2006

A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks.

Nan-Ying Liang, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan

IEEE Trans. Neural Networks, 2006

Real-time learning capability of neural networks.

Guang-Bin Huang, Qin-Yu Zhu, Chee Kheong Siew

IEEE Trans. Neural Networks, 2006

Universal approximation using incremental constructive feedforward networks with random hidden nodes.

Guang-Bin Huang, Lei Chen, Chee Kheong Siew

IEEE Trans. Neural Networks, 2006

Can threshold networks be trained directly?

Guang-Bin Huang, Qin-Yu Zhu, Kezhi Mao, Chee Kheong Siew, Paramasivan Saratchandran, Narasimhan Sundararajan

IEEE Trans. Circuits Syst. II Express Briefs, 2006

Classifying protein sequences using hydropathy blocks.

De-Shuang Huang, Xing-Ming Zhao, Guang-Bin Huang, Yiu-ming Cheung

Pattern Recognit., 2006

A new machine learning paradigm for terrain reconstruction.

Chee-Wee Thomas Yeu, Meng-Hiot Lim, Guang-Bin Huang, Amit Agarwal, Yew-Soon Ong

IEEE Geosci. Remote. Sens. Lett., 2006

Dynamic temperature modeling of continuous annealing furnace using GGAP-RBF neural network.

Shaoyuan Li, Qing Chen, Guang-Bin Huang

Neurocomputing, 2006

Extreme learning machine: Theory and applications.

Guang-Bin Huang, Qin-Yu Zhu, Chee Kheong Siew

Neurocomputing, 2006

Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine.

Nan-Ying Liang, Paramasivan Saratchandran, Guang-Bin Huang, Narasimhan Sundararajan

Int. J. Neural Syst., 2006

Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction.

Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, P. Saratchandran

Fuzzy Sets Syst., 2006

Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels.

Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Terrain Modeling Using Machine Learning Methods.

Chee-Wee Thomas Yeu, Meng-Hiot Lim, Guang-Bin Huang

Proceedings of the Ninth International Conference on Control, 2006

Fuzzy Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding.

Hai-Jun Rong, Guang-Bin Huang, Narasimhan Sundararajan, Paramasivan Saratchandran

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005

Neuron selection for RBF neural network classifier based on data structure preserving criterion.

Ke Zhi Mao, Guang-Bin Huang

IEEE Trans. Neural Networks, 2005

A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation.

Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan

IEEE Trans. Neural Networks, 2005

Fast Modular network implementation for support vector machines.

Guang-Bin Huang, Ke Zhi Mao, Chee Kheong Siew, De-Shuang Huang

IEEE Trans. Neural Networks, 2005

Evolutionary extreme learning machine.

Qin-Yu Zhu, A. Kai Qin, Ponnuthurai N. Suganthan, Guang-Bin Huang

Pattern Recognit., 2005

Performance Evaluation of GAP-RBF Network in Channel Equalization.

Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan

Neural Process. Lett., 2005

Using FCMC, FVS, and PCA techniques for feature extraction of multispectral images.

Zhan-Li Sun, De-Shuang Huang, Yiu-ming Cheung, Jiming Liu, Guang-Bin Huang

IEEE Geosci. Remote. Sens. Lett., 2005

Fully complex extreme learning machine.

Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan

Neurocomputing, 2005

A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks.

Fei Han, Deshuang Huang, Yiu-ming Cheung, Guang-Bin Huang

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Methods of Decreasing the Number of Support Vectors via <i>k</i>-Mean Clustering.

Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-Bin Huang

Proceedings of the Advances in Intelligent Computing, 2005

Improvements to the Conventional Layer-by-Layer BP Algorithm.

Xu-Qin Li, Fei Han, Tat-Ming Lok, Michael R. Lyu, Guang-Bin Huang

Proceedings of the Advances in Intelligent Computing, 2005

On-Line Sequential Extreme Learning Machine.

Guang-Bin Huang, Nan-Ying Liang, Hai-Jun Rong, Paramasivan Saratchandran, Narasimhan Sundararajan

Proceedings of the IASTED International Conference on Computational Intelligence, 2005

An Efficient Sequential RBF Network for Gene Expression-Based Multi-category Classification.

Runxuan Zhang, Narasimhan Sundararajan, Guang-Bin Huang, Paramasivan Saratchandran

Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

2004

An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks.

Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan

IEEE Trans. Syst. Man Cybern. Part B, 2004

Furnace Temperature Modeling for Continuous Annealing Process Based on Generalized Growing and Pruning RBF Neural Network.

Qing Chen, Shaoyuan Li, Yugeng Xi, Guang-Bin Huang

Proceedings of the Advances in Neural Networks, 2004

A fast modular implementation for neural networks.

Qin-Yu Zhu, Guang-Bin Huang, Chee Kheong Siew

Proceedings of the 8th International Conference on Control, 2004

A fast constructive learning algorithm for single-hidden-layer neural networks.

Qin-Yu Zhu, Guang-Bin Huang, Chee Kheong Siew

Proceedings of the 8th International Conference on Control, 2004

Extreme learning machine: RBF network case.

Guang-Bin Huang, Chee Kheong Siew

Proceedings of the 8th International Conference on Control, 2004

2003

Learning capability and storage capacity of two-hidden-layer feedforward networks.

Guang-Bin Huang

IEEE Trans. Neural Networks, 2003

2000

Classification ability of single hidden layer feedforward neural networks.

Guang-Bin Huang, Yan Qiu Chen, Haroon A. Babri

IEEE Trans. Neural Networks Learn. Syst., 2000

1998

Comments on "Approximation capability in C(Rⁿ) by multilayer feedforward networks and related problems".

Guang-Bin Huang, Haroon A. Babri

IEEE Trans. Neural Networks, 1998

Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions.

Guang-Bin Huang, Haroon A. Babri

IEEE Trans. Neural Networks, 1998

Ordering of Self-Organizing Maps in Multi-Dimensional Cases.

Guang-Bin Huang, Haroon A. Babri, Hua-Tian Li

Neural Comput., 1998