Guang-Bin Huang

ORCID

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 76

Top Venues

Publications

Xiaofan Jia, Sadeed Bin Sayed, Nahian Ibn Hasan, Luis J. Gomez, Guang-Bin Huang, Abdulkadir C. Yucel
DeeptDCS: Deep Learning-Based Estimation of Currents Induced During Transcranial Direct Current Stimulation. IEEE Trans. Biomed. Eng. 70 (4) (2023)
Risab Biswas, Swalpa Kumar Roy, Ning Wang, Umapada Pal, Guang-Bin Huang
DocBinFormer: A Two-Level Transformer Network for Effective Document Image Binarization. CoRR (2023)
Junwei Luo, Xuechao Yang, Xun Yi, Fengling Han, Iqbal Gondal, Guang-Bin Huang
A Comparative Study on Design and Usability of Cryptographic Libraries. ACSW (2023)
Wei Han, Chamara Kasun Liyanaarachchi Lekamalage, Guang-Bin Huang
Efficient joint model learning, segmentation and model updating for visual tracking. Neural Networks 147 (2022)
Chamara Kasun, Chung Soo Ahn, Jagath C. Rajapakse, Zhiping Lin, Guang-Bin Huang
Discriminative Adversarial Learning for Speaker Independent Emotion Recognition. INTERSPEECH (2022)
Rongzihan Song, L. L. Chamara Kasun, Xinggan Peng, Zhiping Lin, Qi Cao, Guang-Bin Huang
Motion Embedding for On-road Motion Object Detection for Intelligent Vehicle Systems. ITSC (2022)
Chamara Kasun Liyanaarachchi Lekamalage, Zhiping Lin, Guang-Bin Huang, Jagath Chandana Rajapakse
Cascaded Adversarial Learning for Speaker Independent Emotion Recognition. IJCNN (2022)
Xiaofan Jia, Sadeed Bin Sayed, Nahian Ibn Hasan, Luis J. Gomez, Guang-Bin Huang, Abdulkadir C. Yucel
DeeptDCS: Deep Learning-Based Estimation of Currents Induced During Transcranial Direct Current Stimulation. CoRR (2022)
Xinggan Peng, Rongzihan Song, Qi Cao, Yue Li, Dongshun Cui, Xiaofan Jia, Zhiping Lin, Guang-Bin Huang
Real-Time Illegal Parking Detection Algorithm in Urban Environments. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Jichao Chen, Guang-Bin Huang
Dual distance adaptive multiview clustering. Neurocomputing 441 (2021)
Tinghui Ouyang, Chongwu Wang, Zhangjun Yu, Robert Stach, Boris Mizaikoff, Guang-Bin Huang, Qi-Jie Wang
NOx Measurements in Vehicle Exhaust Using Advanced Deep ELM Networks. IEEE Trans. Instrum. Meas. 70 (2021)
Yuanyuan Qing, Yijie Zeng, Qi Cao, Guang-Bin Huang
End-to-end novel visual categories learning via auxiliary self-supervision. Neural Networks 139 (2021)
Yuanyuan Qing, Yijie Zeng, Guang-Bin Huang
Label propagation via local geometry preserving for deep semi-supervised image recognition. Neural Networks 143 (2021)
Yijie Zeng, Jichao Chen, Guang-Bin Huang
Slice-Based Online Convolutional Dictionary Learning. IEEE Trans. Cybern. 51 (10) (2021)
Enmei Tu, Guanghao Zhang, Shangbo Mao, Lily Rachmawati, Guang-Bin Huang
Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment. CoRR (2020)
Yue Li, Yijie Zeng, Tianchi Liu, Xiaofan Jia, Guang-Bin Huang
Simultaneously learning affinity matrix and data representations for machine fault diagnosis. Neural Networks 122 (2020)
Guanghao Zhang, Yue Li, Dongshun Cui, Shangbo Mao, Guang-Bin Huang
R-ELMNet: Regularized extreme learning machine network. Neural Networks 130 (2020)
Yijie Zeng, Yue Li, Jichao Chen, Xiaofan Jia, Guang-Bin Huang
ELM embedded discriminative dictionary learning for image classification. Neural Networks 123 (2020)
Yijie Zeng, Jichao Chen, Yue Li, Yuanyuan Qing, Guang-Bin Huang
Clustering via Adaptive and Locality-constrained Graph Learning and Unsupervised ELM. Neurocomputing 401 (2020)
Zhihong Man, Guang-Bin Huang
Special issue on extreme learning machine and deep learning networks. Neural Comput. Appl. 32 (18) (2020)
Jichao Chen, Yijie Zeng, Yue Li, Guang-Bin Huang
Unsupervised feature selection based extreme learning machine for clustering. Neurocomputing 386 (2020)
Yue Li, Chamara Kasun Liyanaarachchi Lekamalage, Tianchi Liu, Pin-An Chen, Guang-Bin Huang
Learning Representations With Local and Global Geometries Preserved for Machine Fault Diagnosis. IEEE Trans. Ind. Electron. 67 (3) (2020)
Yuanyuan Qing, Yijie Zeng, Yue Li, Guang-Bin Huang
Deep and wide feature based extreme learning machine for image classification. Neurocomputing 412 (2020)
Yue Li, Yijie Zeng, Yuanyuan Qing, Guang-Bin Huang
Learning local discriminative representations via extreme learning machine for machine fault diagnosis. Neurocomputing 409 (2020)
Chenwei Deng, Shuigen Wang, Alan C. Bovik, Guang-Bin Huang, Baojun Zhao
Blind Noisy Image Quality Assessment Using Sub-Band Kurtosis. IEEE Trans. Cybern. 50 (3) (2020)
Xinggan Peng, Huiping Zhuang, Guang-Bin Huang, Haizhou Li, Zhiping Lin
Robust Real-time Face Tracking for People Wearing Face Masks. ICARCV (2020)
Guanghao Zhang, Dongshun Cui, Shangbo Mao, Guang-Bin Huang
Unsupervised feature learning with sparse Bayesian auto-encoding based extreme learning machine. Int. J. Mach. Learn. Cybern. 11 (7) (2020)
Chenwei Deng, Shuigen Wang, Zhen Li, Guang-Bin Huang, Weisi Lin
Content-Insensitive Blind Image Blurriness Assessment Using Weibull Statistics and Sparse Extreme Learning Machine. IEEE Trans. Syst. Man Cybern. Syst. 49 (3) (2019)
Shichao Zhou, Chenwei Deng, Wenzheng Wang, Guang-Bin Huang, Baojun Zhao
GenELM: Generative Extreme Learning Machine feature representation. Neurocomputing 362 (2019)
Osvaldo Simeone, Bipin Rajendran, André Grüning, Evangelos Eleftheriou, Mike Davies, Sophie Denève, Guang-Bin Huang
Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors]. IEEE Signal Process. Mag. 36 (6) (2019)
Lei Zhang, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, David Zhang
Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation. CoRR (2019)
Tinghui Ouyang, Chongwu Wang, Zhangjun Yu, Robert Stach, Boris Mizaikoff, Bo Liedberg, Guang-Bin Huang, Qi-Jie Wang
Quantitative Analysis of Gas Phase IR Spectra Based on Extreme Learning Machine Regression Model. Sensors 19 (24) (2019)
Guang-Bin Huang, E. S. Eleftheriou, Dhireesha Kudithipudi, Jonathan Tapson, H. Yu
Guest Editorial: Special Issue on New Trends in Smart Chips and Smart Hardware. IEEE Trans. Emerg. Top. Comput. Intell. 3 (1) (2019)
Lei Zhang, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, David Zhang
Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation. IEEE Trans. Neural Networks Learn. Syst. 30 (12) (2019)
Lei Zhang, Xuehan Wang, Guang-Bin Huang, Tao Liu, Xiaoheng Tan
Taste Recognition in E-Tongue Using Local Discriminant Preservation Projection. IEEE Trans. Cybern. 49 (3) (2019)
Shangbo Mao, Vidhya Natarajan, Liang-Tien Chia, Guang-Bin Huang
Texture Recognition on Metal Surface using Order-Less Scale Invariant GLAC. ICTAI (2019)
Jichao Chen, Yijie Zeng, Siqi Wang, Soh Ling Min, Guang-Bin Huang
Octree-based Convolutional Autoencoder Extreme Learning Machine for 3D Shape Classification. IJCNN (2018)
Tianchi Liu, Liyanaarachchi Lekamalage Chamara Kasun, Guang-Bin Huang, Zhiping Lin
Extreme Learning Machine for Joint Embedding and Clustering. Neurocomputing 277 (2018)
Cheng Li, Chenwei Deng, Shichao Zhou, Baojun Zhao, Guang-Bin Huang
Conditional Random Mapping for Effective ELM Feature Representation. Cogn. Comput. 10 (5) (2018)
Guang-Bin Huang, Q. M. Jonathan Wu, Donald C. Wunsch II
Hierarchical extreme learning machines. Neurocomputing 277 (2018)
Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang
Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology. IEEE Trans. Intell. Transp. Syst. 19 (5) (2018)
Yijie Zeng, Jichao Chen, Guang-Bin Huang
Data Driven Convolutional Sparse Coding for Visual Recognition. ICASSP (2018)
Paula Lauren, Guangzhi Qu, Jucheng Yang, Paul Watta, Guang-Bin Huang, Amaury Lendasse
Generating Word Embeddings from an Extreme Learning Machine for Sentiment Analysis and Sequence Labeling Tasks. Cogn. Comput. 10 (4) (2018)
Ron Sun, David Silver, Gerald Tesauro, Guang-Bin Huang
Introduction to the special issue on deep reinforcement learning: An editorial. Neural Networks 107 (2018)
Dongshun Cui, Guang-Bin Huang, Tianchi Liu
ELM based smile detection using Distance Vector. Pattern Recognit. 79 (2018)
Tianchi Liu, Chamara Kasun Liyanaarachchi Lekamalage, Guang-Bin Huang, Zhiping Lin
An adaptive graph learning method based on dual data representations for clustering. Pattern Recognit. 77 (2018)
Guanghao Zhang, Dongshun Cui, Shangbo Mao, Guang-Bin Huang
Sparse Bayesian Learning for Extreme Learning Machine Auto-encoder. ELM (2018)
Dongshun Cui, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Guanghao Zhang, Wei Han
Elmnet: Feature learning using extreme learning machines. ICIP (2017)
Chamara Kasun Liyanaarachchi Lekamalage, Kang Song, Guang-Bin Huang, Dongshun Cui, Ken Liang
Multi layer multi objective extreme learning machine. ICIP (2017)
Amaury Lendasse, Chi-Man Vong, Kar-Ann Toh, Yoan Miche, Guang-Bin Huang
Advances in extreme learning machines (ELM2015). Neurocomputing 261 (2017)
Chenwei Deng, Baoxian Wang, Weisi Lin, Guang-Bin Huang, Baojun Zhao
Effective visual tracking by pairwise metric learning. Neurocomputing 261 (2017)
Shiji Song, Yanshang Gong, Yuli Zhang, Gao Huang, Guang-Bin Huang
Dimension Reduction by Minimum Error Minimax Probability Machine. IEEE Trans. Syst. Man Cybern. Syst. 47 (1) (2017)
Fuchun Sun, Guang-Bin Huang, Q. M. Jonathan Wu, Shiji Song, Donald C. Wunsch II
Efficient and Rapid Machine Learning Algorithms for Big Data and Dynamic Varying Systems. IEEE Trans. Syst. Man Cybern. Syst. 47 (10) (2017)
Paula Lauren, Guangzhi Qu, Guang-Bin Huang, Paul Watta, Amaury Lendasse
A low-dimensional vector representation for words using an extreme learning machine. IJCNN (2017)
Wei Han, Guang-Bin Huang, Dongshun Cui
Deformable and Occluded Object Tracking via Graph Learning. DICTA (2017)
Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Shangbo Mao, Guang-Bin Huang
A theoretical study of the relationship between an ELM network and its subnetworks. IJCNN (2017)
Shuigen Wang, Chenwei Deng, Weisi Lin, Guang-Bin Huang, Baojun Zhao
NMF-Based Image Quality Assessment Using Extreme Learning Machine. IEEE Trans. Cybern. 47 (1) (2017)
Kai Hu, Dongshun Cui, Yuan Zhang, Chunhong Cao, Fen Xiao, Guang-Bin Huang
Classification of Foreign Object Debris Using Integrated Visual Features and Extreme Learning Machine. CCCV (3) (2017)
Ya Jun Yu, Zhan Yang, Beom-Seok Oh, Yong Kiang Yeo, Qinglai Liu, Guang-Bin Huang, Zhiping Lin
Investigation on driver stress utilizing ECG signals with on-board navigation systems in use. ICARCV (2016)
Zhihong Man, Guang-Bin Huang
Guest editorial: Special issue on Extreme learning machine and applications (I). Neural Comput. Appl. 27 (1) (2016)
Tianchi Liu, Yue Li, Zuo Bai, Jaydeep De, Cao Vinh Le, Zhiping Lin, Shih-Hsiang Lin, Guang-Bin Huang, Dongshun Cui
Two-stage structured learning approach for stable occupancy detection. IJCNN (2016)
Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang
A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks. CoRR (2016)
Tianchi Liu, Yan Yang, Guang-Bin Huang, Yong Kiang Yeo, Zhiping Lin
Driver Distraction Detection Using Semi-Supervised Machine Learning. IEEE Trans. Intell. Transp. Syst. 17 (4) (2016)
Xun Liu, Chenwei Deng, Shuigen Wang, Guang-Bin Huang, Baojun Zhao, Paula Lauren
Fast and Accurate Spatiotemporal Fusion Based Upon Extreme Learning Machine. IEEE Geosci. Remote. Sens. Lett. 13 (12) (2016)
Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang
Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey. CoRR (2016)
Dongshun Cui, Guang-Bin Huang, Tianchi Liu
Smile detection using Pair-wise Distance Vector and Extreme Learning Machine. IJCNN (2016)
Amaury Lendasse, Chi-Man Vong, Yoan Miche, Guang-Bin Huang
Advances in extreme learning machines (ELM2014). Neurocomputing 174 (2016)
Haoqi Sun, Olga Sourina, Guang-Bin Huang
Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent Plasticity. Neural Comput. 28 (10) (2016)
Xiaoxuan Lu, Han Zou, Hongming Zhou, Lihua Xie, Guang-Bin Huang
Robust Extreme Learning Machine With its Application to Indoor Positioning. IEEE Trans. Cybern. 46 (1) (2016)
Soujanya Poria, Erik Cambria, Newton Howard, Guang-Bin Huang, Amir Hussain
Fusing audio, visual and textual clues for sentiment analysis from multimodal content. Neurocomputing 174 (2016)
Shangbo Mao, Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang
An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining. CoRR (2016)
Liyanaarachchi Lekamalage Chamara Kasun, Yan Yang, Guang-Bin Huang, Zhengyou Zhang
Dimension Reduction With Extreme Learning Machine. IEEE Trans. Image Process. 25 (8) (2016)
Wan-Yu Deng, Zuo Bai, Guang-Bin Huang, Qing-Hua Zheng
A Fast SVD-Hidden-nodes based Extreme Learning Machine for Large-Scale Data Analytics. Neural Networks 77 (2016)
Shuigen Wang, Chenwei Deng, Baojun Zhao, Guang-Bin Huang, Baoxian Wang
Gradient-based no-reference image blur assessment using extreme learning machine. Neurocomputing 174 (2016)
Jiexiong Tang, Chenwei Deng, Guang-Bin Huang
Extreme Learning Machine for Multilayer Perceptron. IEEE Trans. Neural Networks Learn. Syst. 27 (4) (2016)
Zhihong Man, Guang-Bin Huang
Guest editorial: Special issue on Extreme learning machine and applications (II). Neural Comput. Appl. 27 (2) (2016)
Chenwei Deng, Guang-Bin Huang, Jia Xu, Jiexiong Tang
Extreme learning machines: new trends and applications. Sci. China Inf. Sci. 58 (2) (2015)
Soujanya Poria, Erik Cambria, Amir Hussain, Guang-Bin Huang
Towards an intelligent framework for multimodal affective data analysis. Neural Networks 63 (2015)
Wentao Zhu, Jun Miao, Laiyun Qing, Guang-Bin Huang
Hierarchical Extreme Learning Machine for unsupervised representation learning. IJCNN (2015)
Guang-Bin Huang, Erik Cambria, Kar-Ann Toh, Bernard Widrow, Zongben Xu
New Trends of Learning in Computational Intelligence [Guest Editorial]. IEEE Comput. Intell. Mag. 10 (2) (2015)
Haoqi Sun, Yan Yang, Olga Sourina, Guang-Bin Huang
Runtime detection of activated polychronous neuronal group towards its spatiotemporal analysis. IJCNN (2015)
Gao Huang, Guang-Bin Huang, Shiji Song, Keyou You
Trends in extreme learning machines: A review. Neural Networks 61 (2015)
Wei Han, Yan Yang, Guang-Bin Huang, Olga Sourina, Felix Klanner, Cornelia Denk
Driver Drowsiness Detection Based on Novel Eye Openness Recognition Method and Unsupervised Feature Learning. SMC (2015)
Haoqi Sun, Yan Yang, Olga Sourina, Guang-Bin Huang, Felix Klanner, Cornelia Denk, Ralph H. Rasshofer
Estimating vigilance from EEG using manifold clustering guided by instantaneous lapse rate. ICICS (2015)
Guang-Bin Huang, Zuo Bai, Liyanaarachchi Lekamalage Chamara Kasun, Chi-Man Vong
Local Receptive Fields Based Extreme Learning Machine. IEEE Comput. Intell. Mag. 10 (2) (2015)
Guang-Bin Huang, Erik Cambria, Kar-Ann Toh, Bernard Widrow, Zongben Xu
New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial]. IEEE Comput. Intell. Mag. 10 (3) (2015)
Jiexiong Tang, Chenwei Deng, Guang-Bin Huang, Baojun Zhao
Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme Learning Machine. IEEE Trans. Geosci. Remote. Sens. 53 (3) (2015)
Tianchi Liu, Yan Yang, Guang-Bin Huang, Zhiping Lin, Felix Klanner, Cornelia Denk, Ralph H. Rasshofer
Cluster Regularized Extreme Learning Machine for Detecting Mixed-Type Distraction in Driving. ITSC (2015)
Zuo Bai, Liyanaarachchi Lekamalage Chamara Kasun, Guang-Bin Huang
Generic Object Recognition with Local Receptive Fields Based Extreme Learning Machine. INNS Conference on Big Data (2015)
Xinwang Liu, Lei Wang, Guang-Bin Huang, Jian Zhang, Jianping Yin
Multiple kernel extreme learning machine. Neurocomputing 149 (2015)
Amaury Lendasse, Qing He, Yoan Miché, Guang-Bin Huang
Advances in Extreme Learning Machines (ELM2013). Neurocomputing 149 (2015)
Guang-Bin Huang
What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt's Dream and John von Neumann's Puzzle. Cogn. Comput. 7 (3) (2015)
Hongming Zhou, Guang-Bin Huang, Zhiping Lin, Han Wang, Yeng Chai Soh
Stacked Extreme Learning Machines. IEEE Trans. Cybern. 45 (9) (2015)
Weiwei Zong, Guang-Bin Huang
Learning to Rank with Extreme Learning Machine. Neural Process. Lett. 39 (2) (2014)
Amaury Lendasse, Qing He, Yoan Miche, Guang-Bin Huang
Advances in extreme learning machines (ELM2012). Neurocomputing 128 (2014)
Soujanya Poria, Erik Cambria, Grégoire Winterstein, Guang-Bin Huang
Sentic patterns: Dependency-based rules for concept-level sentiment analysis. Knowl. Based Syst. 69 (2014)
Jiexiong Tang, Chenwei Deng, Guang-Bin Huang, Junhui Hou
A fast learning algorithm for multi-layer extreme learning machine. ICIP (2014)
Soujanya Poria, Alexander F. Gelbukh, Erik Cambria, Amir Hussain, Guang-Bin Huang
EmoSenticSpace: A novel framework for affective common-sense reasoning. Knowl. Based Syst. 69 (2014)
Zuo Bai, Guang-Bin Huang, Danwei Wang, Han Wang, M. Brandon Westover
Sparse Extreme Learning Machine for Classification. IEEE Trans. Cybern. 44 (10) (2014)
Guang-Bin Huang
An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels. Cogn. Comput. 6 (3) (2014)

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Publication Activity (10 Years)

Top Topics

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Guang-Bin Huang