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Guangbin Huang
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- affiliation: Nanyang Technological University, Singapore
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2020 – today
- 2024
[j131]Huiping Su, Hongbo Gao, Xinmiao Wang, Xiaozhao Fang, Qingchao Liu, Guang-Bin Huang, Xin Li, Qi Cao:
Object Detection in Adverse Weather for Autonomous Vehicles Based on Sensor Fusion and Incremental Learning. IEEE Trans. Instrum. Meas. 73: 1-10 (2024)- 2023
- [j130]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): 1231-1241 (2023) - [c60]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: 102-111 - [i8]Risab Biswas, Swalpa Kumar Roy, Ning Wang, Umapada Pal, Guang-Bin Huang:
DocBinFormer: A Two-Level Transformer Network for Effective Document Image Binarization. CoRR abs/2312.03568 (2023) - 2022
- [j129]Wei Han, Chamara Kasun Liyanaarachchi Lekamalage, Guang-Bin Huang:
Efficient joint model learning, segmentation and model updating for visual tracking. Neural Networks 147: 175-185 (2022) - [j128]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): 20572-20587 (2022) - [c59]Chamara Kasun Liyanaarachchi Lekamalage, Zhiping Lin, Guang-Bin Huang, Jagath Chandana Rajapakse:
Cascaded Adversarial Learning for Speaker Independent Emotion Recognition. IJCNN 2022: 1-8 - [c58]L. L. Chamara Kasun, Chung Soo Ahn, Jagath C. Rajapakse, Zhiping Lin, Guang-Bin Huang:
Discriminative Adversarial Learning for Speaker Independent Emotion Recognition. INTERSPEECH 2022: 4975-4979 - [c57]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: 3354-3359 - [i7]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 abs/2205.01858 (2022) - 2021
- [j127]Jichao Chen, Guang-Bin Huang:
Dual distance adaptive multiview clustering. Neurocomputing 441: 311-322 (2021) - [j126]Yuanyuan Qing, Yijie Zeng, Qi Cao, Guang-Bin Huang:
End-to-end novel visual categories learning via auxiliary self-supervision. Neural Networks 139: 24-32 (2021) - [j125]Yuanyuan Qing, Yijie Zeng, Guang-Bin Huang:
Label propagation via local geometry preserving for deep semi-supervised image recognition. Neural Networks 143: 303-313 (2021) - [j124]Yijie Zeng, Jichao Chen, Guang-Bin Huang:
Slice-Based Online Convolutional Dictionary Learning. IEEE Trans. Cybern. 51(10): 5116-5129 (2021) - [j123]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: 1-10 (2021) - 2020
- [j122]Jichao Chen, Yijie Zeng, Yue Li, Guang-Bin Huang:
Unsupervised feature selection based extreme learning machine for clustering. Neurocomputing 386: 208-220 (2020) - [j121]Yijie Zeng, Jichao Chen, Yue Li, Yuanyuan Qing, Guang-Bin Huang:
Clustering via Adaptive and Locality-constrained Graph Learning and Unsupervised ELM. Neurocomputing 401: 224-235 (2020) - [j120]Yue Li, Yijie Zeng, Yuanyuan Qing, Guang-Bin Huang:
Learning local discriminative representations via extreme learning machine for machine fault diagnosis. Neurocomputing 409: 275-285 (2020) - [j119]Yuanyuan Qing, Yijie Zeng, Yue Li, Guang-Bin Huang:
Deep and wide feature based extreme learning machine for image classification. Neurocomputing 412: 426-436 (2020) - [j118]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): 1557-1569 (2020) - [j117]Zhihong Man, Guang-Bin Huang:
Special issue on extreme learning machine and deep learning networks. Neural Comput. Appl. 32(18): 14241-14245 (2020) - [j116]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: 395-406 (2020) - [j115]Yijie Zeng, Yue Li, Jichao Chen, Xiaofan Jia, Guang-Bin Huang:
ELM embedded discriminative dictionary learning for image classification. Neural Networks 123: 331-342 (2020) - [j114]Guanghao Zhang, Yue Li, Dongshun Cui, Shangbo Mao, Guang-Bin Huang:
R-ELMNet: Regularized extreme learning machine network. Neural Networks 130: 49-59 (2020) - [j113]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): 1146-1156 (2020) - [j112]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): 2360-2370 (2020) - [c56]Xinggan Peng, Huiping Zhuang, Guang-Bin Huang, Haizhou Li, Zhiping Lin:
Robust Real-time Face Tracking for People Wearing Face Masks. ICARCV 2020: 779-783 - [i6]Enmei Tu, Guanghao Zhang, Shangbo Mao, Lily Rachmawati, Guang-Bin Huang:
Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment. CoRR abs/2001.01592 (2020)
2010 – 2019
- 2019
- [j111]Shichao Zhou, Chenwei Deng, Wenzheng Wang, Guang-Bin Huang, Baojun Zhao:
GenELM: Generative Extreme Learning Machine feature representation. Neurocomputing 362: 41-50 (2019) - [j110]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): 5535 (2019) - [j109]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): 12-15 (2019) - [j108]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): 947-960 (2019) - [j107]Guang-Bin Huang, E. S. Eleftheriou, Dhireesha Kudithipudi, Jonathan Tapson, Hao Yu:
Guest Editorial: Special Issue on New Trends in Smart Chips and Smart Hardware. IEEE Trans. Emerg. Top. Comput. Intell. 3(1): 1-3 (2019) - [j106]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): 3759-3773 (2019) - [j105]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): 516-527 (2019) - [c55]Shangbo Mao, Vidhya Natarajan, Liang-Tien Chia, Guang-Bin Huang:
Texture Recognition on Metal Surface using Order-Less Scale Invariant GLAC. ICTAI 2019: 629-635 - [i5]Lei Zhang, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, David Zhang:
Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation. CoRR abs/1903.10211 (2019) - 2018
- [j104]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): 625-638 (2018) - [j103]Cheng Li, Chenwei Deng, Shichao Zhou, Baojun Zhao, Guang-Bin Huang:
Conditional Random Mapping for Effective ELM Feature Representation. Cogn. Comput. 10(5): 827-847 (2018) - [j102]Guang-Bin Huang, Q. M. Jonathan Wu, Donald C. Wunsch II:
Hierarchical extreme learning machines. Neurocomputing 277: 1-3 (2018) - [j101]Tianchi Liu, Liyanaarachchi Lekamalage Chamara Kasun, Guang-Bin Huang, Zhiping Lin:
Extreme Learning Machine for Joint Embedding and Clustering. Neurocomputing 277: 78-88 (2018) - [j100]Ron Sun, David Silver, Gerald Tesauro, Guang-Bin Huang:
Introduction to the special issue on deep reinforcement learning: An editorial. Neural Networks 107: 1-2 (2018) - [j99]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: 126-139 (2018) - [j98]Dongshun Cui, Guang-Bin Huang, Tianchi Liu:
ELM based smile detection using Distance Vector. Pattern Recognit. 79: 356-369 (2018) - [j97]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): 1559-1582 (2018) - [c54]Guanghao Zhang, Dongshun Cui, Shangbo Mao, Guang-Bin Huang:
Sparse Bayesian Learning for Extreme Learning Machine Auto-encoder. ELM 2018: 319-327 - [c53]Yijie Zeng, Jichao Chen, Guang-Bin Huang:
Data Driven Convolutional Sparse Coding for Visual Recognition. ICASSP 2018: 2736-2740 - [c52]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: 1-7 - 2017
- [j96]Amaury Lendasse, Chi-Man Vong, Kar-Ann Toh, Yoan Miche, Guang-Bin Huang:
Advances in extreme learning machines (ELM2015). Neurocomputing 261: 1-3 (2017) - [j95]Chenwei Deng, Baoxian Wang, Weisi Lin, Guang-Bin Huang, Baojun Zhao:
Effective visual tracking by pairwise metric learning. Neurocomputing 261: 266-275 (2017) - [j94]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): 232-243 (2017) - [j93]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): 58-69 (2017) - [j92]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): 2625-2626 (2017) - [c51]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: 3-13 - [c50]Wei Han, Guang-Bin Huang, Dongshun Cui:
Deformable and Occluded Object Tracking via Graph Learning. DICTA 2017: 1-8 - [c49]Chamara Kasun Liyanaarachchi Lekamalage, Kang Song, Guang-Bin Huang, Dongshun Cui, Ken Liang:
Multi layer multi objective extreme learning machine. ICIP 2017: 1297-1301 - [c48]Dongshun Cui, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Guanghao Zhang, Wei Han:
Elmnet: Feature learning using extreme learning machines. ICIP 2017: 1857-1861 - [c47]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: 1794-1801 - [c46]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: 1817-1822 - 2016
- [j91]Amaury Lendasse, Chi-Man Vong, Yoan Miche, Guang-Bin Huang:
Advances in extreme learning machines (ELM2014). Neurocomputing 174: 1-3 (2016) - [j90]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: 50-59 (2016) - [j89]Shuigen Wang, Chenwei Deng, Baojun Zhao, Guang-Bin Huang, Baoxian Wang:
Gradient-based no-reference image blur assessment using extreme learning machine. Neurocomputing 174: 310-321 (2016) - [j88]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): 2039-2043 (2016) - [j87]Zhihong Man, Guang-Bin Huang:
Guest editorial: Special issue on Extreme learning machine and applications (I). Neural Comput. Appl. 27(1): 1-2 (2016) - [j86]Zhihong Man, Guang-Bin Huang:
Guest editorial: Special issue on Extreme learning machine and applications (II). Neural Comput. Appl. 27(2): 253-254 (2016) - [j85]Haoqi Sun, Olga Sourina, Guang-Bin Huang:
Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent Plasticity. Neural Comput. 28(10): 2181-2212 (2016) - [j84]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: 14-28 (2016) - [j83]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): 194-205 (2016) - [j82]Liyanaarachchi Lekamalage Chamara Kasun, Yan Yang, Guang-Bin Huang, Zhengyou Zhang:
Dimension Reduction With Extreme Learning Machine. IEEE Trans. Image Process. 25(8): 3906-3918 (2016) - [j81]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): 1108-1120 (2016) - [j80]Jiexiong Tang, Chenwei Deng, Guang-Bin Huang:
Extreme Learning Machine for Multilayer Perceptron. IEEE Trans. Neural Networks Learn. Syst. 27(4): 809-821 (2016) - [c45]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: 1-6 - [c44]Dongshun Cui, Guang-Bin Huang, Tianchi Liu:
Smile detection using Pair-wise Distance Vector and Extreme Learning Machine. IJCNN 2016: 2298-2305 - [c43]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: 2306-2312 - [i4]Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang:
Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey. CoRR abs/1606.00981 (2016) - [i3]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 abs/1607.03306 (2016) - [i2]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 abs/1610.09608 (2016) - 2015
- [j79]Chenwei Deng, Guang-Bin Huang, Jia Xu, Jiexiong Tang:
Extreme learning machines: new trends and applications. Sci. China Inf. Sci. 58(2): 1-16 (2015) - [j78]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): 16-17 (2015) - [j77]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): 18-29 (2015) - [j76]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): 8 (2015) - [j75]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): 263-278 (2015) - [j74]Amaury Lendasse, Qing He, Yoan Miché, Guang-Bin Huang:
Advances in Extreme Learning Machines (ELM2013). Neurocomputing 149: 158-159 (2015) - [j73]Xinwang Liu, Lei Wang, Guang-Bin Huang, Jian Zhang, Jianping Yin:
Multiple kernel extreme learning machine. Neurocomputing 149: 253-264 (2015) - [j72]Gao Huang, Guang-Bin Huang, Shiji Song, Keyou You:
Trends in extreme learning machines: A review. Neural Networks 61: 32-48 (2015) - [j71]Soujanya Poria, Erik Cambria, Amir Hussain, Guang-Bin Huang:
Towards an intelligent framework for multimodal affective data analysis. Neural Networks 63: 104-116 (2015) - [j70]Hongming Zhou, Guang-Bin Huang, Zhiping Lin, Han Wang, Yeng Chai Soh:
Stacked Extreme Learning Machines. IEEE Trans. Cybern. 45(9): 2013-2025 (2015) - [j69]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): 1174-1185 (2015) - [c42]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: 1-5 - [c41]Haoqi Sun, Yan Yang, Olga Sourina, Guang-Bin Huang:
Runtime detection of activated polychronous neuronal group towards its spatiotemporal analysis. IJCNN 2015: 1-8 - [c40]Wentao Zhu, Jun Miao, Laiyun Qing, Guang-Bin Huang:
Hierarchical Extreme Learning Machine for unsupervised representation learning. IJCNN 2015: 1-8 - [c39]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: 391-399 - [c38]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: 1323-1326 - [c37]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: 1470-1475 - 2014
- [j68]Guang-Bin Huang:
An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels. Cogn. Comput. 6(3): 376-390 (2014) - [j67]Amaury Lendasse, Qing He, Yoan Miche, Guang-Bin Huang:
Advances in extreme learning machines (ELM2012). Neurocomputing 128: 1-3 (2014) - [j66]Soujanya Poria, Erik Cambria, Grégoire Winterstein, Guang-Bin Huang:
Sentic patterns: Dependency-based rules for concept-level sentiment analysis. Knowl. Based Syst. 69: 45-63 (2014) - [j65]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: 108-123 (2014) - [j64]Weiwei Zong, Guang-Bin Huang:
Learning to Rank with Extreme Learning Machine. Neural Process. Lett. 39(2): 155-166 (2014) - [j63]Zuo Bai, Guang-Bin Huang, Danwei Wang, Han Wang, M. Brandon Westover:
Sparse Extreme Learning Machine for Classification. IEEE Trans. Cybern. 44(10): 1858-1870 (2014) - [c36]Weimin Huang, Yongzhong Yang, Zhiping Lin, Guang-Bin Huang, Jiayin Zhou, Yuping Duan, Wei Xiong:
Random feature subspace ensemble based Extreme Learning Machine for liver tumor detection and segmentation. EMBC 2014: 4675-4678 - [c35]Jiexiong Tang, Chenwei Deng, Guang-Bin Huang, Junhui Hou:
A fast learning algorithm for multi-layer extreme learning machine. ICIP 2014: 175-178 - [i1]Yimin Yang, Q. M. Jonathan Wu, Guangbin Huang, Yaonan Wang:
Pulling back error to the hidden-node parameter technology: Single-hidden-layer feedforward network without output weight. CoRR abs/1405.1445 (2014) - 2013
- [j62]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:
Extreme Learning Machines. IEEE Intell. Syst. 28(6): 30-59 (2013) - [j61]Weiwei Zong, Guang-Bin Huang, Yiqiang Chen:
Weighted extreme learning machine for imbalance learning. Neurocomputing 101: 229-242 (2013) - [j60]Guang-Bin Huang, Dianhui Wang:
Advances in Extreme Learning Machines (ELM2011). Neurocomputing 102: 1-2 (2013) - [j59]Arindam Basu, Sun Shuo, Hongming Zhou, Meng-Hiot Lim, Guang-Bin Huang:
Silicon spiking neurons for hardware implementation of extreme learning machines. Neurocomputing 102: 125-134 (2013) - [j58]Yuan Lan, Zongjiang Hu, Yeng Chai Soh, Guang-Bin Huang:
An extreme learning machine approach for speaker recognition. Neural Comput. Appl. 22(3-4): 417-425 (2013) - [j57]Rui Zhang, Yuan Lan, Guang-Bin Huang, Zongben Xu, Yeng Chai Soh:
Dynamic Extreme Learning Machine and Its Approximation Capability. IEEE Trans. Cybern. 43(6): 2054-2065 (2013) - [c34]Enyi Yao, Shaista Hussain, Arindam Basu, Guang-Bin Huang:
Computation using mismatch: Neuromorphic extreme learning machines. BioCAS 2013: 294-297 - [c33]Shuigen Wang, Chenwei Deng, Weisi Lin, Guang-Bin Huang:
A novel NMF-based image quality assessment metric using extreme learning machine. ChinaSIP 2013: 255-258 - [c32]Weimin Huang, Ning Li, Zhiping Lin, Guang-Bin Huang, Weiwei Zong, Jiayin Zhou, Yuping Duan:
Liver tumor detection and segmentation using kernel-based extreme learning machine. EMBC 2013: 3662-3665 - [c31]Jiuwen Cao, Zhiping Lin, Guang-Bin Huang:
Voting base online sequential extreme learning machine for multi-class classification. ISCAS 2013: 2327-2330 - 2012
- [j56]Jiuwen Cao, Zhiping Lin, Guang-Bin Huang, Nan Liu:
Voting based extreme learning machine. Inf. Sci. 185(1): 66-77 (2012) - [j55]Jiuwen Cao, Zhiping Lin, Guang-Bin Huang:
Self-Adaptive Evolutionary Extreme Learning Machine. Neural Process. Lett. 36(3): 285-305 (2012) - [j54]Xi-Zhao Wang, Dianhui Wang, Guang-Bin Huang:
Editorial. Soft Comput. 16(9): 1461-1463 (2012) - [j53]Nan Liu, Zhiping Lin, Jiuwen Cao, Zhixiong Koh, Tongtong Zhang, Guang-Bin Huang, Wee Ser, Marcus Eng Hock Ong:
An Intelligent Scoring System and Its Application to Cardiac Arrest Prediction. IEEE Trans. Inf. Technol. Biomed. 16(6): 1324-1331 (2012) - [j52]Rui Zhang, Zongben Xu, Guang-Bin Huang, Dianhui Wang:
Global Convergence of Online BP Training With Dynamic Learning Rate. IEEE Trans. Neural Networks Learn. Syst. 23(2): 330-341 (2012) - [j51]Rui Zhang, Yuan Lan, Guang-Bin Huang, Zongben Xu:
Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes. IEEE Trans. Neural Networks Learn. Syst. 23(2): 365-371 (2012) - [j50]Guang-Bin Huang, Hongming Zhou, Xiaojian Ding, Rui Zhang:
Extreme Learning Machine for Regression and Multiclass Classification. IEEE Trans. Syst. Man Cybern. Part B 42(2): 513-529 (2012) - [c30]Rendi E. J. Yohanes, Wee Ser, Guang-Bin Huang:
Discrete Wavelet Transform coefficients for emotion recognition from EEG signals. EMBC 2012: 2251-2254 - [c29]Weimin Huang, Zu Ming Tan, Zhiping Lin, Guang-Bin Huang, Jiayin Zhou, Chee-Kong Chui, Yi Su, Stephen K. Y. Chang:
A semi-automatic approach to the segmentation of liver parenchyma from 3D CT images with Extreme Learning Machine. EMBC 2012: 3752-3755 - [c28]Jiantao Xu, Hongming Zhou, Guang-Bin Huang:
Extreme Learning Machine based fast object recognition. FUSION 2012: 1490-1496 - [c27]Wendong Xiao, Peidong Liu, Wee-Seng Soh, Guang-Bin Huang:
Large scale wireless indoor localization by clustering and Extreme Learning Machine. FUSION 2012: 1609-1614 - [c26]Zhifei Shao, Meng Joo Er, Guang-Bin Huang:
Receding Horizon Cache and Extreme Learning Machine based Reinforcement Learning. ICARCV 2012: 1591-1596 - [c25]Weiwei Zong, Yuan Lan, Guang-Bin Huang:
Online Sequential Learning based on Enhanced Extreme Learning Machine using Left or Right Pseudo-inverse. ICPRAM (1) 2012: 300-305 - [c24]Chi Cheng, Wee Peng Tay, Guang-Bin Huang:
Extreme learning machines for intrusion detection. IJCNN 2012: 1-8 - [c23]Hongming Zhou, Yuan Lan, Yeng Chai Soh, Guang-Bin Huang, Rui Zhang:
Credit risk evaluation with extreme learning machine. SMC 2012: 1064-1069 - [p1]Kang Li, Guang-Bin Huang, Shuzhi Sam Ge:
Fast Construction of Single-Hidden-Layer Feedforward Networks. Handbook of Natural Computing 2012: 507-531 - 2011
- [j49]Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, Guang-She Zhao:
Extended sequential adaptive fuzzy inference system for classification problems. Evol. Syst. 2(2): 71-82 (2011) - [j48]Guoqi Li, Changyun Wen, Guang-Bin Huang, Yan Chen:
Error tolerance based support vector machine for regression. Neurocomputing 74(5): 771-782 (2011) - [j47]Guang-Bin Huang, Dianhui Wang:
Advances in extreme learning machines (ELM2010). Neurocomputing 74(16): 2411-2412 (2011) - [j46]Weiwei Zong, Guang-Bin Huang:
Face recognition based on extreme learning machine. Neurocomputing 74(16): 2541-2551 (2011) - [j45]Guang-Bin Huang, Dianhui Wang, Yuan Lan:
Extreme learning machines: a survey. Int. J. Mach. Learn. Cybern. 2(2): 107-122 (2011) - [j44]Jiuwen Cao, Zhiping Lin, Guang-Bin Huang:
Composite Function Wavelet Neural Networks with Differential Evolution and Extreme Learning Machine. Neural Process. Lett. 33(3): 251-265 (2011) - [j43]Nan Liu, Zhiping Lin, Zhixiong Koh, Guang-Bin Huang, Wee Ser, Marcus Eng Hock Ong:
Patient Outcome Prediction with Heart Rate Variability and Vital Signs. J. Signal Process. Syst. 64(2): 265-278 (2011) - [c22]Rui Zhang, Yuan Lan, Guang-Bin Huang, Yeng Chai Soh:
Extreme Learning Machine with Adaptive Growth of Hidden Nodes and Incremental Updating of Output Weights. AIS 2011: 253-262 - [c21]Weiwei Zong, Hongming Zhou, Guang-Bin Huang, Zhiping Lin:
Face Recognition Based on Kernelized Extreme Learning Machine. AIS 2011: 263-272 - 2010
- [j42]Jiuwen Cao, Zhiping Lin, Guang-Bin Huang:
Composite function wavelet neural networks with extreme learning machine. Neurocomputing 73(7-9): 1405-1416 (2010) - [j41]Yuan Lan, Yeng Chai Soh, Guang-Bin Huang:
Two-stage extreme learning machine for regression. Neurocomputing 73(16-18): 3028-3038 (2010) - [j40]Yuan Lan, Yeng Chai Soh, Guang-Bin Huang:
Constructive hidden nodes selection of extreme learning machine for regression. Neurocomputing 73(16-18): 3191-3199 (2010) - [j39]Guang-Bin Huang, Xiaojian Ding, Hongming Zhou:
Optimization method based extreme learning machine for classification. Neurocomputing 74(1-3): 155-163 (2010) - [j38]Huaguang Zhang, Zhenwei Liu, Guang-Bin Huang, Zhanshan Wang:
Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay. IEEE Trans. Neural Networks 21(1): 91-106 (2010) - [j37]Huaguang Zhang, Tiedong Ma, Guang-Bin Huang, Zhiliang Wang:
Robust Global Exponential Synchronization of Uncertain Chaotic Delayed Neural Networks via Dual-Stage Impulsive Control. IEEE Trans. Syst. Man Cybern. Part B 40(3): 831-844 (2010) - [j36]Huaguang Zhang, Zhenwei Liu, Guang-Bin Huang:
Novel Delay-Dependent Robust Stability Analysis for Switched Neutral-Type Neural Networks With Time-Varying Delays via SC Technique. IEEE Trans. Syst. Man Cybern. Part B 40(6): 1480-1491 (2010) - [c20]Yuan Lan, Yeng Chai Soh, Guang-Bin Huang:
Random search enhancement of error minimized extreme learning machine. ESANN 2010
2000 – 2009
- 2009
- [j35]Lei Chen, Guang-Bin Huang, Hung Keng Pung:
Systemical convergence rate analysis of convex incremental feedforward neural networks. Neurocomputing 72(10-12): 2627-2635 (2009) - [j34]Yuan Lan, Yeng Chai Soh, Guang-Bin Huang:
Ensemble of online sequential extreme learning machine. Neurocomputing 72(13-15): 3391-3395 (2009) - [j33]Guorui Feng, Guang-Bin Huang, Qingping Lin, Robert Kheng Leng Gay:
Error Minimized Extreme Learning Machine With Growth of Hidden Nodes and Incremental Learning. IEEE Trans. Neural Networks 20(8): 1352-1357 (2009) - [j32]Hai-Jun Rong, Guang-Bin Huang, Narasimhan Sundararajan, Paramasivan Saratchandran:
Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems. IEEE Trans. Syst. Man Cybern. Part B 39(4): 1067-1072 (2009) - [c19]Yuan Lan, Yeng Chai Soh, Guang-Bin Huang:
A constructive enhancement for Online Sequential Extreme Learning Machine. IJCNN 2009: 1708-1713 - 2008
- [j31]Guang-Bin Huang, Ming-Bin Li, Lei Chen, Chee Kheong Siew:
Incremental extreme learning machine with fully complex hidden nodes. Neurocomputing 71(4-6): 576-583 (2008) - [j30]Guang-Bin Huang, Lei Chen:
Enhanced random search based incremental extreme learning machine. Neurocomputing 71(16-18): 3460-3468 (2008) - [j29]Qingping Lin, Liang Zhang, Sun Ding, Guorui Feng, Guangbin Huang:
Intelligent Mobile Agents for Large-Scale Collaborative Virtual Environment. Int. J. Virtual Real. 7(2): 63-72 (2008) - [j28]Guang-Bin Huang:
Reply to "Comments on "The Extreme Learning Machine"". IEEE Trans. Neural Networks 19(8): 1495-1496 (2008) - [c18]Pavitra Padmanabhan, Zhiping Lin, Guang-Bin Huang, Marcus Eng Hock Ong:
Patient classification based on pre-hospital heart rate variability. APCCAS 2008: 125-128 - [c17]Hai-Jun Rong, Guang-Bin Huang, Yew-Soon Ong:
Extreme learning machine for multi-categories classification applications. IJCNN 2008: 1709-1713 - [c16]Yuan Lan, Yeng Chai Soh, Guang-Bin Huang:
Extreme Learning Machine based bacterial protein subcellular localization prediction. IJCNN 2008: 1859-1863 - 2007
- [j27]Liang Zhang, Qingping Lin, Robert K. L. Gay, Guangbin Huang, Norman Neo:
An Autonomous Decentralized Multi-Server Framework for Large Scale Collaborative Virtual Environments. Int. J. Image Graph. 7(2): 353-375 (2007) - [j26]Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran:
Improved GAP-RBF network for classification problems. Neurocomputing 70(16-18): 3011-3018 (2007) - [j25]Guang-Bin Huang, Lei Chen:
Convex incremental extreme learning machine. Neurocomputing 70(16-18): 3056-3062 (2007) - [j24]Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran:
Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. 4(3): 485-495 (2007) - [c15]Xunkai Wei, Yinghong Li, Yue Feng, Guangbin Huang:
Minimum Mahalanobis Enclosing Ellipsoid Machine for Pattern Classification. ICIC (3) 2007: 1176-1185 - [c14]Xunkai Wei, Yinghong Li, Yue Feng, Guangbin Huang:
Solving Mahalanobis Ellipsoidal Learning Machine Via Second Order Cone Programming. ICIC (3) 2007: 1186-1194 - [c13]Qingping Lin, Hoon Kang Neo, Liang Zhang, Guangbin Huang, Robert K. L. Gay:
Grid-based large-scale Web3D collaborative virtual environment. Web3D 2007: 123-132 - 2006
- [j23]Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, P. Saratchandran:
Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction. Fuzzy Sets Syst. 157(9): 1260-1275 (2006) - [j22]Nan-Ying Liang, Paramasivan Saratchandran, Guang-Bin Huang, Narasimhan Sundararajan:
Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine. Int. J. Neural Syst. 16(1): 29-38 (2006) - [j21]Shaoyuan Li, Qing Chen, Guang-Bin Huang:
Dynamic temperature modeling of continuous annealing furnace using GGAP-RBF neural network. Neurocomputing 69(4-6): 523-536 (2006) - [j20]Guang-Bin Huang, Qin-Yu Zhu, Chee Kheong Siew:
Extreme learning machine: Theory and applications. Neurocomputing 70(1-3): 489-501 (2006) - [j19]Chee-Wee Thomas Yeu, Meng-Hiot Lim, Guang-Bin Huang, Amit Agarwal, Yew-Soon Ong:
A new machine learning paradigm for terrain reconstruction. IEEE Geosci. Remote. Sens. Lett. 3(3): 382-386 (2006) - [j18]De-Shuang Huang, Xing-Ming Zhao, Guang-Bin Huang, Yiu-ming Cheung:
Classifying protein sequences using hydropathy blocks. Pattern Recognit. 39(12): 2293-2300 (2006) - [j17]Guang-Bin Huang, Qin-Yu Zhu, Kezhi Mao, Chee Kheong Siew, Paramasivan Saratchandran, Narasimhan Sundararajan:
Can threshold networks be trained directly? IEEE Trans. Circuits Syst. II Express Briefs 53-II(3): 187-191 (2006) - [j16]Guang-Bin Huang, Qin-Yu Zhu, Chee Kheong Siew:
Real-time learning capability of neural networks. IEEE Trans. Neural Networks 17(4): 863-878 (2006) - [j15]Guang-Bin Huang, Lei Chen, Chee Kheong Siew:
Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Trans. Neural Networks 17(4): 879-892 (2006) - [j14]Nan-Ying Liang, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan:
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks. IEEE Trans. Neural Networks 17(6): 1411-1423 (2006) - [c12]Hai-Jun Rong, Guang-Bin Huang, Narasimhan Sundararajan, Paramasivan Saratchandran:
Fuzzy Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding. FUZZ-IEEE 2006: 1200-1204 - [c11]Chee-Wee Thomas Yeu, Meng-Hiot Lim, Guang-Bin Huang:
Terrain Modeling Using Machine Learning Methods. ICARCV 2006: 1-4 - [c10]Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan:
Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels. ISNN (2) 2006: 114-119 - 2005
- [j13]Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan:
Fully complex extreme learning machine. Neurocomputing 68: 306-314 (2005) - [j12]Zhan-Li Sun, De-Shuang Huang, Yiu-ming Cheung, Jiming Liu, Guang-Bin Huang:
Using FCMC, FVS, and PCA techniques for feature extraction of multispectral images. IEEE Geosci. Remote. Sens. Lett. 2(2): 108-112 (2005) - [j11]Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan:
Performance Evaluation of GAP-RBF Network in Channel Equalization. Neural Process. Lett. 22(2): 223-233 (2005) - [j10]Qin-Yu Zhu, A. Kai Qin, Ponnuthurai N. Suganthan, Guang-Bin Huang:
Evolutionary extreme learning machine. Pattern Recognit. 38(10): 1759-1763 (2005) - [j9]Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan:
A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation. IEEE Trans. Neural Networks 16(1): 57-67 (2005) - [j8]Ke Zhi Mao, Guang-Bin Huang:
Neuron selection for RBF neural network classifier based on data structure preserving criterion. IEEE Trans. Neural Networks 16(6): 1531-1540 (2005) - [j7]Guang-Bin Huang, Ke Zhi Mao, Chee Kheong Siew, De-Shuang Huang:
Fast Modular network implementation for support vector machines. IEEE Trans. Neural Networks 16(6): 1651-1663 (2005) - [c9]Runxuan Zhang, Narasimhan Sundararajan, Guang-Bin Huang, Paramasivan Saratchandran:
An Efficient Sequential RBF Network for Gene Expression-Based Multi-category Classification. CIBCB 2005: 251-256 - [c8]Guang-Bin Huang, Nan-Ying Liang, Hai-Jun Rong, Paramasivan Saratchandran, Narasimhan Sundararajan:
On-Line Sequential Extreme Learning Machine. Computational Intelligence 2005: 232-237 - [c7]Xu-Qin Li, Fei Han, Tat-Ming Lok, Michael R. Lyu, Guang-Bin Huang:
Improvements to the Conventional Layer-by-Layer BP Algorithm. ICIC (2) 2005: 189-198 - [c6]Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-Bin Huang:
Methods of Decreasing the Number of Support Vectors via k-Mean Clustering. ICIC (1) 2005: 717-726 - [c5]Fei Han, Deshuang Huang, Yiu-ming Cheung, Guang-Bin Huang:
A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks. ISNN (1) 2005: 572-577 - [e2]De-Shuang Huang, Xiao-Ping (Steven) Zhang, Guang-Bin Huang:
Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3644, Springer 2005, ISBN 3-540-28226-2 [contents] - [e1]De-Shuang Huang, Xiao-Ping (Steven) Zhang, Guang-Bin Huang:
Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3645, Springer 2005, ISBN 3-540-28227-0 [contents] - 2004
- [j6]Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan:
An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks. IEEE Trans. Syst. Man Cybern. Part B 34(6): 2284-2292 (2004) - [c4]Guang-Bin Huang, Chee Kheong Siew:
Extreme learning machine: RBF network case. ICARCV 2004: 1029-1036 - [c3]Qin-Yu Zhu, Guang-Bin Huang, Chee Kheong Siew:
A fast constructive learning algorithm for single-hidden-layer neural networks. ICARCV 2004: 1907-1911 - [c2]Qin-Yu Zhu, Guang-Bin Huang, Chee Kheong Siew:
A fast modular implementation for neural networks. ICARCV 2004: 2270-2273 - [c1]Qing Chen, Shaoyuan Li, Yugeng Xi, Guang-Bin Huang:
Furnace Temperature Modeling for Continuous Annealing Process Based on Generalized Growing and Pruning RBF Neural Network. ISNN (2) 2004: 755-760 - 2003
- [j5]Guang-Bin Huang:
Learning capability and storage capacity of two-hidden-layer feedforward networks. IEEE Trans. Neural Networks 14(2): 274-281 (2003) - 2000
- [j4]Guang-Bin Huang, Yan Qiu Chen, Haroon A. Babri:
Classification ability of single hidden layer feedforward neural networks. IEEE Trans. Neural Networks Learn. Syst. 11(3): 799-801 (2000)
1990 – 1999
- 1998
- [j3]Guang-Bin Huang, Haroon A. Babri, Hua-Tian Li:
Ordering of Self-Organizing Maps in Multi-Dimensional Cases. Neural Comput. 10(1): 19-24 (1998) - [j2]Guang-Bin Huang, Haroon A. Babri:
Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions. IEEE Trans. Neural Networks 9(1): 224-229 (1998) - [j1]Guang-Bin Huang, Haroon A. Babri:
Comments on "Approximation capability in C(Rn) by multilayer feedforward networks and related problems". IEEE Trans. Neural Networks 9(4): 714-715 (1998)
Coauthor Index
Liyanaarachchi Lekamalage Chamara Kasun
aka: L. L. Chamara Kasun
aka: Chamara Kasun Liyanaarachchi Lekamalage
aka: L. L. Chamara Kasun
aka: Chamara Kasun Liyanaarachchi Lekamalage
Paramasivan Saratchandran
aka: P. Saratchandran
aka: P. Saratchandran
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