De-Shuang Huang

According to our database, De-Shuang Huang authored at least 299 papers between 1995 and 2024.

Collaborative distances:

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

2024

MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association Prediction.

Lei Wang, Zheng-Wei Li, Zhu-Hong You, De-Shuang Huang, Leon Wong

IEEE J. Biomed. Health Informatics, March, 2024

GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association.

Lei Wang, Zheng-Wei Li, Zhu-Hong You, De-Shuang Huang, Leon Wong

IEEE J. Biomed. Health Informatics, March, 2024

scCorrector: a robust method for integrating multi-study single-cell data.

Zhen-Hao Guo, Yan-Bin Wang, Siguo Wang, Qinhu Zhang, De-Shuang Huang

Briefings Bioinform., January, 2024

SSPool: A Simple Siamese Framework for Graph Infomax Pooling.

Zhi-Peng Li, Hai-Long Su, Xiao-Bo Zhu, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang

IEEE Trans. Netw. Sci. Eng., 2024

2023

Biomedical Knowledge Graph Embedding With Capsule Network for Multi-Label Drug-Drug Interaction Prediction.

Xiaorui Su, Zhuhong You, Deshuang Huang, Lei Wang, Leon Wong, Boya Ji, Bowei Zhao

IEEE Trans. Knowl. Data Eng., June, 2023

Computational prediction and characterization of cell-type-specific and shared binding sites.

Qinhu Zhang, Pengrui Teng, Siguo Wang, Ying He, Zhen Cui, Zhenghao Guo, Yixin Liu, Changan Yuan, Qi Liu, De-Shuang Huang

Bioinform., January, 2023

DMGF-Net: An Efficient Dynamic Multi-Graph Fusion Network for Traffic Prediction.

He Li, Duo Jin, Xuejiao Li, Jianbin Huang, Xiaoke Ma, Jiangtao Cui, Deshuang Huang, Shaojie Qiao, Jaesoo Yoo

ACM Trans. Knowl. Discov. Data, 2023

MGRCDA: Metagraph Recommendation Method for Predicting CircRNA-Disease Association.

Lei Wang, Zhu-Hong You, De-Shuang Huang, Jianqiang Li

IEEE Trans. Cybern., 2023

Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information.

Qinhu Zhang, Youhong Xu, Siguo Wang, Yong Wu, Yuannong Ye, Chang-An Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates.

Ying He, Qinhu Zhang, Siguo Wang, Zhanheng Chen, Zhen Cui, Zhen-Hao Guo, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Discriminative Local Representation Learning for Cross-Modality Visible-Thermal Person Re-Identification.

Yong Wu, Guo-Dui He, Li-Hua Wen, Xiao Qin, Chang-an Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang

IEEE Trans. Biom. Behav. Identity Sci., 2023

Hierarchical Graph Neural Network Based on Semi-Implicit Variational Inference.

Hai-Long Su, Zhi-Peng Li, Xiao-Bo Zhu, Li-Na Yang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, Anthony G. Cohn, De-Shuang Huang

IEEE Trans. Cogn. Dev. Syst., 2023

iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction.

Lin Yuan, Jiawang Zhao, Zhen Shen, Qinhu Zhang, Yushui Geng, Chun-Hou Zheng, De-Shuang Huang

PLoS Comput. Biol., 2023

2022

DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes.

Siguo Wang, Qinhu Zhang, Ying He, Zhen Cui, Zhen-Hao Guo, Kyungsook Han, De-Shuang Huang

PLoS Comput. Biol., October, 2022

NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction.

Lei Wang, Leon Wong, Zhu-Hong You, De-Shuang Huang, Xiao-Rui Su, Bo-Wei Zhao

IEEE J. Biomed. Health Informatics, 2022

Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction.

He Li, Xuejiao Li, Liangcai Su, Duo Jin, Jianbin Huang, Deshuang Huang

ACM Trans. Intell. Syst. Technol., 2022

Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms.

Jianbin Huang, Longji Huang, Meijuan Liu, He Li, Qinglin Tan, Xiaoke Ma, Jiangtao Cui, De-Shuang Huang

ACM Trans. Intell. Syst. Technol., 2022

Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape.

Qinhu Zhang, Yindong Zhang, Siguo Wang, Zhan-Heng Chen, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A Deep Learning Model for RNA-Protein Binding Preference Prediction Based on Hierarchical LSTM and Attention Network.

Zhen Shen, Qinhu Zhang, Kyungsook Han, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Guest Editorial for Special Section on the 16th International Conference on Intelligent Computing (ICIC).

De-Shuang Huang, Kyungsook Han, Tatsuya Akutsu

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification.

Zhen Cui, Zhan-Heng Chen, Qinhu Zhang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Hierarchical Graph Pooling With Self-Adaptive Cluster Aggregation.

Zhi-Peng Li, Hai-Long Su, Xiao-Bo Zhu, Xiumei Wei, Xuesong Jiang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang

IEEE Trans. Cogn. Dev. Syst., 2022

Joint operation and attention block search for lightweight image restoration.

Hao Shen, Zhong-Qiu Zhao, Wenrui Liao, Weidong Tian, De-Shuang Huang

Pattern Recognit., 2022

Base-resolution prediction of transcription factor binding signals by a deep learning framework.

Qinhu Zhang, Ying He, Siguo Wang, Zhanheng Chen, Zhen-Hao Guo, Zhen Cui, Qi Liu, De-Shuang Huang

PLoS Comput. Biol., 2022

Recent development on intelligent computing.

De-Shuang Huang

Neurocomputing, 2022

Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification.

Qi Lai, Jianhang Zhou, Yanfen Gan, Chi-Man Vong, Deshuang Huang

CoRR, 2022

Graph representation learning in bioinformatics: trends, methods and applications.

Hai-Cheng Yi, Zhu-Hong You, De-Shuang Huang, Chee Keong Kwoh

Briefings Bioinform., 2022

2021

3-D Facial Landmarks Detection for Intelligent Video Systems.

Van-Thanh Hoang, De-Shuang Huang, Kang-Hyun Jo

IEEE Trans. Ind. Informatics, 2021

Attention Deep Model With Multi-Scale Deep Supervision for Person Re-Identification.

Di Wu, Chao Wang, Yong Wu, Qicong Wang, De-Shuang Huang

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Multi-Scale Capsule Network for Predicting DNA-Protein Binding Sites.

Qinhu Zhang, Wenbo Yu, Kyungsook Han, Asoke K. Nandi, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Predicting TF-DNA Binding Motifs from ChIP-seq Datasets Using the Bag-Based Classifier Combined With a Multi-Fold Learning Scheme.

Qinhu Zhang, Dailun Wang, Kyungsook Han, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Predicting in-vitro Transcription Factor Binding Sites Using DNA Sequence + Shape.

Qinhu Zhang, Zhen Shen, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations.

Hai-Cheng Yi, Zhu-Hong You, Zhen-Hao Guo, De-Shuang Huang, Keith C. C. Chan

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Guest Editorial for Special Section on the 15^th International Conference on Intelligent Computing (ICIC).

De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Person Reidentification by Multiscale Feature Representation Learning With Random Batch Feature Mask.

Yong Wu, Kun Zhang, Di Wu, Chao Wang, Chang-an Yuan, Xiao Qin, Tao Zhu, Yuchuan Du, Hanli Wang, De-Shuang Huang

IEEE Trans. Cogn. Dev. Syst., 2021

Preface.

Yi Pan, De-Shuang Huang, Jian-Xin Wang, Fa Zhang

J. Comput. Sci. Technol., 2021

Special issue: Advanced Intelligent Computing Theory and Applications in Big Data Era.

Qinhu Zhang, Vitoantonio Bevilacqua, De-Shuang Huang

Neurocomputing, 2021

Locating transcription factor binding sites by fully convolutional neural network.

Qinhu Zhang, Siguo Wang, Zhanheng Chen, Ying He, Qi Liu, De-Shuang Huang

Briefings Bioinform., 2021

A survey on deep learning in DNA/RNA motif mining.

Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, De-Shuang Huang

Briefings Bioinform., 2021

MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm.

Zhen-Hao Guo, Zhu-Hong You, De-Shuang Huang, Hai-Cheng Yi, Kai Zheng, Zhan-Heng Chen, Yan-Bin Wang

Briefings Bioinform., 2021

2020

Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding.

Qinhu Zhang, Lin Zhu, Wenzheng Bao, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions.

Lei Wang, Zhu-Hong You, De-Shuang Huang, Fengfeng Zhou

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

RNA-Protein Binding Sites Prediction via Multi Scale Convolutional Gated Recurrent Unit Networks.

Zhen Shen, Su-Ping Deng, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Capsule Network for Predicting RNA-Protein Binding Preferences Using Hybrid Feature.

Zhen Shen, Su-Ping Deng, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Capsule Network Based Modeling of Multi-omics Data for Discovery of Breast Cancer-Related Genes.

Chen Peng, Yang Zheng, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Guest Editorial for Special Section on the 14th International Conference on Intelligent Computing (ICIC).

De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Special issue on advanced intelligent computing: Theory and applications.

De-Shuang Huang

Neurocomputing, 2020

An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network.

Lei Wang, Zhu-Hong You, Yu-An Huang, De-Shuang Huang, Keith C. C. Chan

Bioinform., 2020

A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model.

Hai-Cheng Yi, Zhu-Hong You, Xiao-Rui Su, De-Shuang Huang, Zhen-Hao Guo

Proceedings of the Intelligent Computing Theories and Application, 2020

2019

Image Co-Segmentation via Locally Biased Discriminative Clustering.

Xianpeng Liang, Di Wu, De-Shuang Huang

IEEE Trans. Knowl. Data Eng., 2019

High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites.

Qinhu Zhang, Lin Zhu, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Integration of Multi-Omics Data for Gene Regulatory Network Inference and Application to Breast Cancer.

Lin Yuan, Lehang Guo, Chang-an Yuan, Youhua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Guest Editorial for Special Section on the 13th International Conference on Intelligent Computing (ICIC).

De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Robust dimensionality reduction via feature space to feature space distance metric learning.

Bo Li, Zhang-Tao Fan, Xiao-Long Zhang, De-Shuang Huang

Neural Networks, 2019

Deep learning-based methods for person re-identification: A comprehensive review.

Di Wu, Si-Jia Zheng, Xiao-Ping (Steven) Zhang, Chang-An Yuan, Fei Cheng, Yang Zhao, Yong-Jun Lin, Zhong-Qiu Zhao, Yong-Li Jiang, De-Shuang Huang

Neurocomputing, 2019

A novel deep model with multi-loss and efficient training for person <i>re</i>-identification.

Di Wu, Si-Jia Zheng, Wenzheng Bao, Xiao-Ping (Steven) Zhang, Chang-An Yuan, De-Shuang Huang

Neurocomputing, 2019

Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification.

Di Wu, Chao Wang, Yong Wu, De-Shuang Huang

CoRR, 2019

A deep model with combined losses for person re-identification.

Di Wu, Si-Jia Zheng, Chang-An Yuan, De-Shuang Huang

Cogn. Syst. Res., 2019

Guest editorial for special section on the 13th international conference on intelligent computing (ICIC).

De-Shuang Huang

Cogn. Syst. Res., 2019

Omnidirectional Feature Learning for Person Re-Identification.

Di Wu, Hong-Wei Yang, De-Shuang Huang, Chang-An Yuan, Xiao Qin, Yang Zhao, Xin-Yong Zhao, Jian-Hong Sun

IEEE Access, 2019

IMKPse: Identification of Protein Malonylation Sites by the Key Features Into General PseAAC.

Wenzheng Bao, Bin Yang, De-Shuang Huang, Dong Wang, Qi Liu, Yuehui Chen, Rong Bao

IEEE Access, 2019

Data Driven Regularization for Convolutional Neural Networks on Image Classification.

Yihao Chen, Hanli Wang, Qinyu Li, Deshuang Huang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

P3D-CTN: Pseudo-3D Convolutional Tube Network for Spatio-Temporal Action Detection in Videos.

Jiangchuan Wei, Hanli Wang, Yun Yi, Qinyu Li, Deshuang Huang

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Convolutional Capsule-Based Network for Person Re-identification.

Andong Li, Di Wu, De-Shuang Huang, Lijun Zhang

Proceedings of the Intelligent Computing Theories and Application, 2019

2018

LMMO: A Large Margin Approach for Refining Regulatory Motifs.

Lin Zhu, Hong-Bo Zhang, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

DiscMLA: An Efficient Discriminative Motif Learning Algorithm over High-Throughput Datasets.

Hongbo Zhang, Lin Zhu, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Optimization of Gene Set Annotations Using Robust Trace-Norm Multitask Learning.

Xianpeng Liang, Lin Zhu, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Guest Editorial for Special Section on the 12th International Conference on Intelligent Computing (ICIC).

De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Mutli-Features Prediction of Protein Translational Modification Sites.

Wenzheng Bao, Chang-An Yuan, Youhua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Image segmentation fusion using weakly supervised trace-norm multi-task learning method.

Xianpeng Liang, De-Shuang Huang

IET Image Process., 2018

Omni-directional Feature Learning for Person Re-identification.

Di Wu, Hong-Wei Yang, De-Shuang Huang

CoRR, 2018

Random Occlusion-recovery for Person Re-identification.

Di Wu, Kun Zhang, Si-Jia Zheng, De-Shuang Huang

CoRR, 2018

iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC.

Bin Liu, Fan Yang, De-Shuang Huang, Kuo-Chen Chou

Bioinform., 2018

iRO-3wPseKNC: identify DNA replication origins by three-window-based PseKNC.

Bin Liu, Fan Weng, De-Shuang Huang, Kuo-Chen Chou

Bioinform., 2018

iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach.

Bin Liu, Kai Li, De-Shuang Huang, Kuo-Chen Chou

Bioinform., 2018

Discovery of Relationships Between Long Non-Coding RNAs and Genes in Human Diseases Based on Tensor Completion.

Chen Peng, Liang Zou, De-Shuang Huang

IEEE Access, 2018

A Simple and Effective Deep Model for Person Re-identification.

Si-Jia Zheng, Di Wu, Fei Cheng, Yang Zhao, Chang-An Yuan, Xiao Qin, De-Shuang Huang

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

A Hybrid Deep Model for Person Re-Identification.

Di Wu, Si-Jia Zheng, Fei Cheng, Yang Zhao, Chang-An Yuan, Xiao Qin, Yong-Li Jiang, De-Shuang Huang

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors.

Basma Abdulaimma, Abir Hussain, Paul Fergus, Dhiya Al-Jumeily, Paulo Lisboa, De-Shuang Huang, Naeem Radi

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding.

Lin Zhu, Suping Deng, Zhu-Hong You, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Nonconvex Penalty Based Low-Rank Representation and Sparse Regression for eQTL Mapping.

Lin Yuan, Lin Zhu, Wei-Li Guo, Xiaobo Zhou, Youhua Zhang, Zhenhua Huang, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Guest Editorial for Special Section on the 11th International Conference on Intelligent Computing (ICIC).

De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

PCID: A Novel Approach for Predicting Disease Comorbidity by Integrating Multi-Scale Data.

Feng He, Guanghui Zhu, Yin-Ying Wang, Xing-Ming Zhao, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information.

Fei Han, Chun Yang, Ya-Qi Wu, Jiansheng Zhu, Qing-Hua Ling, Yuqing Song, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Identifying Stages of Kidney Renal Cell Carcinoma by Combining Gene Expression and DNA Methylation Data.

Su-Ping Deng, Shaolong Cao, De-Shuang Huang, Yu-Ping Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

An improved method for predicting interactions between virus and human proteins.

Byungmin Kim, Saud Alguwaizani, Xiang Zhou, De-Shuang Huang, Byunkyu Park, Kyungsook Han

J. Bioinform. Comput. Biol., 2017

Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications.

Lin Zhu, Suping Deng, De-Shuang Huang

Neurocomputing, 2017

Multi-task ranking SVM for image cosegmentation.

Xianpeng Liang, Lin Zhu, De-Shuang Huang

Neurocomputing, 2017

Pupylation sites prediction with ensemble classification model.

Wenzheng Bao, Zhenhua Huang, Chang-An Yuan, De-Shuang Huang

Int. J. Data Min. Bioinform., 2017

FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis.

Lin Yuan, Chang-An Yuan, De-Shuang Huang

Complex., 2017

miRNA-Disease Association Prediction with Collaborative Matrix Factorization.

Zhen Shen, You-Hua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang

Complex., 2017

Novel human microbe-disease association prediction using network consistency projection.

Wenzheng Bao, Zhichao Jiang, De-Shuang Huang

BMC Bioinform., 2017

Direct AUC optimization of regulatory motifs.

Lin Zhu, Hong-Bo Zhang, De-Shuang Huang

Bioinform., 2017

Convex local sensitive low rank matrix approximation.

Chong-Ya Li, Lin Zhu, Wenzheng Bao, Yong-Li Jiang, Chang-An Yuan, De-Shuang Huang

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

Cross-validated smooth multi-instance learning.

Dayuan Li, Lin Zhu, Wenzheng Bao, Fei Cheng, Yi Ren, De-Shuang Huang

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

Soft-bag based motif discovery for ChIP-seq datasets.

Hongbo Zhang, De-Shuang Huang

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Random Walk-Based Solution to Triple Level Stochastic Point Location Problem.

Wen Jiang, De-Shuang Huang, Shenghong Li

IEEE Trans. Cybern., 2016

ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition.

Lin Zhu, Wei-Li Guo, Suping Deng, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Guest Editorial for Special Section on the 10th International Conference on Intelligent Computing (ICIC).

De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks.

Suping Deng, Lin Zhu, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Special issue on Advanced Intelligent Computing Methodologies and Applications.

Lin Zhu, Vitoantonio Bevilacqua, De-Shuang Huang

Neurocomputing, 2016

A novel dual minimization based level set method for image segmentation.

Hai Min, Xiao-Feng Wang, De-Shuang Huang, Wei Jia

Neurocomputing, 2016

Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports].

Yoonsuck Choe, Asim Roy, Haibo He, De-Shuang Huang

IEEE Comput. Intell. Mag., 2016

Understanding tissue-specificity with human tissue-specific regulatory networks.

Wei-Li Guo, Lin Zhu, Suping Deng, Xing-Ming Zhao, Deshuang Huang

Sci. China Inf. Sci., 2016

Representing logical relations automatically by Probabilistic Logical Dynamical Neural Network.

Gang Wang, De-Shuang Huang

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

Visual data completion via local sensitive low rank tensor learning.

Qing-Yi Liu, Lin Zhu, De-Shuang Huang, Gang Wang, Xiao-Ping (Steven) Zhang, Li Shang, Zhi-Kai Huang

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

Novel Algorithm for Multiple Quantitative Trait Loci Mapping by Using Bayesian Variable Selection Regression.

Lin Yuan, Kyungsook Han, De-Shuang Huang

Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

Prediction of Target Genes Based on Multiway Integration of High-Throughput Data.

Wei-Li Guo, Kyungsook Han, De-Shuang Huang

Proceedings of the Intelligent Computing Theories and Application, 2016

Analysis of MicroRNA and Transcription Factor Regulation.

Wei-Li Guo, Kyungsook Han, De-Shuang Huang

Proceedings of the Intelligent Computing Theories and Application, 2016

Prediction of Lysine Acetylation Sites Based on Neural Network.

Wenzheng Bao, Zhichao Jiang, Kyungsook Han, De-Shuang Huang

Proceedings of the Intelligent Computing Theories and Application, 2016

Learning regulatory motifs by direct optimization of Fisher Exact Test Score.

Lin Zhu, Ning Li, Wenzheng Bao, De-Shuang Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

ILSES: Identification lysine succinylation-sites with ensemble classification.

Wenzheng Bao, Lin Zhu, De-Shuang Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Level set method for image segmentation based on moment competition.

Hai Min, Xiao-Feng Wang, De-Shuang Huang, Jing Jin, Hongzhi Wang, Hai Li

J. Electronic Imaging, 2015

Special issue on advanced intelligent computing theories and applications.

De-Shuang Huang

Neurocomputing, 2015

An integrated strategy for functional analysis of microbial communities based on gene ontology and 16S rRNA gene.

Suping Deng, De-Shuang Huang

Int. J. Data Min. Bioinform., 2015

Optimized Projection for Sparse Representation Based Classification.

Canyi Lu, De-Shuang Huang

CoRR, 2015

NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma.

Zhiwei Ji, Guanmin Meng, Deshuang Huang, Xiao-Qiang Yue, Bing Wang

Comput. Math. Methods Medicine, 2015

Identifying cancer-related microRNAs based on gene expression data.

Xing-Ming Zhao, Keqin Liu, Guanghui Zhu, Feng He, Béatrice Duval, Jean-Michel Richer, De-Shuang Huang, Changjun Jiang, Jin-Kao Hao, Luonan Chen

Bioinform., 2015

A novel diversity-guided ensemble of neural network based on attractive and repulsive particle swarm optimization.

Fei Han, Dan Yang, Qing-Hua Ling, De-Shuang Huang

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

Imputation of ChIP-seq datasets via Low Rank Convex Co-Embedding.

Lin Zhu, Wei-Li Guo, De-Shuang Huang, Canyi Lu

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

DiscMLA: AUC-based discriminative motif learning.

Hongbo Zhang, Lin Zhu, Deshuang Huang

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

A Rayleigh-Ritz style method for large-scale discriminant analysis.

Lin Zhu, De-Shuang Huang

Pattern Recognit., 2014

Special issue on advanced intelligent computing theories and methodologies.

De-Shuang Huang

Neurocomputing, 2014

A novel texture image segmentation model based on multi-scale structure.

Hai Min, Xiao-Feng Wang, De-Shuang Huang

Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding.

Lin Zhu, Zhu-Hong You, De-Shuang Huang

Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014

Completed hybrid local binary pattern for texture classification.

Jing-Hua Yuan, De-Shuang Huang, Hao-Dong Zhu, Yong Gan

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Hybrid Algorithm to Improve the Accuracy of Support Vector Machines on Skewed Data-Sets.

Jair Cervantes, De-Shuang Huang, Farid García-Lamont, Asdrúbal López Chau

Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

A two-stage geometric method for detecting unreliable links in protein-protein networks.

Lin Zhu, Suping Deng, De-Shuang Huang

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

MultiP-SChlo: Multi-label protein subchloroplast localization prediction.

Xiao Wang, Guo-Zheng Li, Qiuwen Zhang, Deshuang Huang

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013

Graphical Representation for DNA Sequences via Joint Diagonalization of Matrix Pencil.

Hong-Jie Yu, De-Shuang Huang

IEEE J. Biomed. Health Informatics, 2013

Normalized Feature Vectors: A Novel Alignment-Free Sequence Comparison Method Based on the Numbers of Adjacent Amino Acids.

Hong-Jie Yu, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Increasing the reliability of protein-protein interaction networks via non-convex semantic embedding.

Lin Zhu, Zhu-Hong You, De-Shuang Huang

Neurocomputing, 2013

Efficient optimally regularized discriminant analysis.

Lin Zhu, De-Shuang Huang

Neurocomputing, 2013

The nearest-farthest subspace classification for face recognition.

Jian-Xun Mi, De-Shuang Huang, Bing Wang, Xingjie Zhu

Neurocomputing, 2013

Optimized projections for sparse representation based classification.

Can-Yi Lu, De-Shuang Huang

Neurocomputing, 2013

Special issue on advanced theory and methodology in intelligent computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011).

De-Shuang Huang, DeLiang Wang

Neurocomputing, 2013

Mathematical Inference and Application of Expectation-Maximization Algorithm in the Construction of Phylogenetic Tree.

Kai Yang, Deshuang Huang

Proceedings of the Intelligent Computing Theories and Technology, 2013

A New Approach to Detect Splice-Sites Based on Support Vector Machines and a Genetic Algorithm.

Jair Cervantes, De-Shuang Huang, Xiaoou Li, Wen Yu

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Dataset reconstruction for protein interface identification using manifold learning method.

Bing Wang, De-Shuang Huang

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

SFAPS: An R package for structure/function analysis of protein sequences based on informational spectrum method.

Suping Deng, Jing-Hua Yuan, Deshuang Huang, Zhen Wang

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

A General CPL-AdS Methodology for Fixing Dynamic Parameters in Dual Environments.

De-Shuang Huang, Wen Jiang

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

Completed Local Binary Count for Rotation Invariant Texture Classification.

Yang Zhao, De-Shuang Huang, Wei Jia

IEEE Trans. Image Process., 2012

Multiscale Distance Matrix for Fast Plant Leaf Recognition.

Rong-Xiang Hu, Wei Jia, Haibin Ling, Deshuang Huang

IEEE Trans. Image Process., 2012

Robust Classification Method of Tumor Subtype by Using Correlation Filters.

Shu-Ling Wang, Yi-Hai Zhu, Wei Jia, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Assessing and predicting protein interactions by combining manifold embedding with multiple information integration.

Ying-Ke Lei, Zhuhong You, Zhen Ji, Lin Zhu, De-Shuang Huang

BMC Bioinform., 2012

Introduction: advanced intelligent computing theories and their applications in bioinformatics.

M. Michael Gromiha, De-Shuang Huang

BMC Bioinform., 2012

A scalable rayleigh-ritz style method for large scale Canonical Correlation Analysis.

Lin Zhu, De-Shuang Huang

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

Robust and Efficient Subspace Segmentation via Least Squares Regression.

Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, Shuicheng Yan

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Molecular Pattern Discovery Based on Penalized Matrix Decomposition.

Chun-Hou Zheng, Lei Zhang, Vincent To-Yee Ng, Simon Chi-Keung Shiu, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Metasample-Based Sparse Representation for Tumor Classification.

Chun-Hou Zheng, Lei Zhang, To-Yee Ng, Simon Chi-Keung Shiu, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Selecting salient objects in real scenes: An oscillatory correlation model.

Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang

Neural Networks, 2011

Special issue on advanced intelligent computing theory and methodology.

De-Shuang Huang

Comput. Hum. Behav., 2011

2010

An efficient local Chan-Vese model for image segmentation.

Xiaofeng Wang, De-Shuang Huang, Huan Xu

Pattern Recognit., 2010

An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks.

Fei Han, Qing-Hua Ling, De-Shuang Huang

Neural Comput. Appl., 2010

Analysis of Gene Expression Data Using Rpem Algorithm in Normal Mixture Model with Dynamic Adjustment of Learning Rate.

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

Int. J. Pattern Recognit. Artif. Intell., 2010

Maximum margin criterion with tensor representation.

Rong-Xiang Hu, Wei Jia, De-Shuang Huang, Ying-Ke Lei

Neurocomputing, 2010

Locality preserving discriminant projections for face and palmprint recognition.

Jie Gui, Wei Jia, Ling Zhu, Shu-Ling Wang, De-Shuang Huang

Neurocomputing, 2010

A method of tumor classification based on wavelet packet transforms and neighborhood rough set.

Shanwen Zhang, De-Shuang Huang, Shu-Lin Wang

Comput. Biol. Medicine, 2010

Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction.

Shu-Lin Wang, Xueling Li, Shanwen Zhang, Jie Gui, De-Shuang Huang

Comput. Biol. Medicine, 2010

Gene expression data classification using locally linear discriminant embedding.

Bo Li, Chun-Hou Zheng, De-Shuang Huang, Lei Zhang, Kyungsook Han

Comput. Biol. Medicine, 2010

A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network.

Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang Huang, Xiaobo Zhou

BMC Bioinform., 2010

APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility.

Junfeng Xia, Xing-Ming Zhao, Jiangning Song, De-Shuang Huang

BMC Bioinform., 2010

Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data.

Zhuhong You, Ying-Ke Lei, Jie Gui, De-Shuang Huang, Xiaobo Zhou

Bioinform., 2010

Two-dimensional Neighborhood Discriminant Projection.

Shanwen Zhang, Ying-Ke Lei, De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2010

Dimensionality reduction based on minimax risk criterion for face recognition.

Lei Tang, Ying-Ke Lei, Lin Zhu, De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2010

Orthogonal linear local spline discriminant embedding for face recognition.

Ying-Ke Lei, Rong-Xiang Hu, Lei Tang, Shanwen Zhang, De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

A Novel Density-Based Clustering Framework by Using Level Set Method.

Xiaofeng Wang, De-Shuang Huang

IEEE Trans. Knowl. Data Eng., 2009

Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection.

Chun-Hou Zheng, De-Shuang Huang, Lei Zhang, Xiangzhen Kong

IEEE Trans. Inf. Technol. Biomed., 2009

Advanced intelligent computing theory and methodology.

De-Shuang Huang

Pattern Recognit. Lett., 2009

Knowledge Management for Autonomous Systems and Computational Intelligence.

Ngoc Thanh Nguyen, De-Shuang Huang

J. Univers. Comput. Sci., 2009

Supervised feature extraction based on orthogonal discriminant projection.

Bo Li, Chao Wang, De-Shuang Huang

Neurocomputing, 2009

Finding motif pairs in the interactions between heterogeneous proteins via bootstrapping and boosting.

Jisu Kim, De-Shuang Huang, Kyungsook Han

BMC Bioinform., 2009

Fast Palmprint Retrieval Using Principal Lines.

Wei Jia, Yi-Hai Zhu, Ling-Feng Liu, De-Shuang Huang

Proceedings of the IEEE International Conference on Systems, 2009

Inferring Protein Interactions from Sequence using Support Vector Machine.

Ming-Guang Shi, Min Wu, De-Shuang Huang, Xueling Li

Proceedings of the International Joint Conference on Neural Networks, 2009

An oscillatory correlation model of object-based attention.

Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2009

A Novel Local Sensitive Frontier Analysis for Feature Extraction.

Chao Wang, De-Shuang Huang, Bo Li

Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

The analysis of microarray datasets using a genetic programming.

Chun-Gui Xu, KunHong Liu, De-Shuang Huang

Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009

2008

A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks.

De-Shuang Huang, Ji-Xiang Du

IEEE Trans. Neural Networks, 2008

Locally linear discriminant embedding: An efficient method for face recognition.

Bo Li, Chun-Hou Zheng, De-Shuang Huang

Pattern Recognit., 2008

Feature extraction using constrained maximum variance mapping.

Bo Li, De-Shuang Huang, Chao Wang, KunHong Liu

Pattern Recognit., 2008

Palmprint verification based on robust line orientation code.

Wei Jia, De-Shuang Huang, David Zhang

Pattern Recognit., 2008

Palmprint verification based on principal lines.

De-Shuang Huang, Wei Jia, David Zhang

Pattern Recognit., 2008

Grooming of dynamic traffic in WDM star and tree networks using a genetic algorithm.

KunHong Liu, Yong Xu, De-Shuang Huang, Min Cheng

Photonic Netw. Commun., 2008

A new constrained learning algorithm for function approximation by encoding <i>a priori</i> information into feedforward neural networks.

Fei Han, De-Shuang Huang

Neural Comput. Appl., 2008

A Novel Multi-Layer Level Set Method for Image Segmentation.

Xiaofeng Wang, De-Shuang Huang

J. Univers. Comput. Sci., 2008

Modified constrained learning algorithms incorporating additional functional constraints into neural networks.

Fei Han, Qing-Hua Ling, De-Shuang Huang

Inf. Sci., 2008

Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function.

Peng Chen, De-Shuang Huang, Xing-Ming Zhao, Xueling Li

Int. J. Bioinform. Res. Appl., 2008

Gene Expression Data Classification Using Consensus Independent Component Analysis.

Chun-Hou Zheng, De-Shuang Huang, Xiangzhen Kong, Xing-Ming Zhao

Genom. Proteom. Bioinform., 2008

Cancer classification using Rotation Forest.

KunHong Liu, De-Shuang Huang

Comput. Biol. Medicine, 2008

Classification of plant leaf images with complicated background.

Xiaofeng Wang, De-Shuang Huang, Ji-Xiang Du, Huan Xu, Laurent Heutte

Appl. Math. Comput., 2008

Special issue on advanced intelligent computing theory and methodology in applied mathematics and computation.

De-Shuang Huang

Appl. Math. Comput., 2008

Palmprint identification based on directional representation.

Wei Jia, De-Shuang Huang, Dacheng Tao, David Zhang

Proceedings of the IEEE International Conference on Systems, 2008

Improving the robustness of ISOMAP by de-noising.

Bo Li, De-Shuang Huang, Chao Wang

Proceedings of the International Joint Conference on Neural Networks, 2008

Constrained Maximum Variance Mapping.

Bo Li, De-Shuang Huang, KunHong Liu

Proceedings of the International Joint Conference on Neural Networks, 2008

An improvement on learning with local and global consistency.

Jie Gui, De-Shuang Huang, Zhuhong You

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

One Class Support Vector Machines for Distinguishing Photographs and Graphics.

Huan Xu, De-Shuang Huang

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

A Novel Spike Sorting Method Based on Semi-supervised Learning.

Guo-Zhu Wen, De-Shuang Huang

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

2007

A New Constrained Independent Component Analysis Method.

De-Shuang Huang, Jian-Xun Mi

IEEE Trans. Neural Networks, 2007

Interest Operator versus Gabor filtering for facial imagery classification.

Catalin-Daniel Caleanu, De-Shuang Huang, Vasile Gui, Virgil Tiponut, Valentin Maranescu

Pattern Recognit. Lett., 2007

Extracting gene regulation information for cancer classification.

Hong-Qiang Wang, Hau-San Wong, De-Shuang Huang, Jun Shu

Pattern Recognit., 2007

MISEP Method for Postnonlinear Blind Source Separation.

Chun-Hou Zheng, De-Shuang Huang, Kang Li, George W. Irwin, Zhan-Li Sun

Neural Comput., 2007

Palmprint recognition with 2DPCA+PCA based on modular neural networks.

Zhong-Qiu Zhao, De-Shuang Huang, Wei Jia

Neurocomputing, 2007

Advanced Neurocomputing Theory and Methodology.

De-Shuang Huang, Prashan Premaratne

Neurocomputing, 2007

Shape recognition based on neural networks trained by differential evolution algorithm.

Ji-Xiang Du, De-Shuang Huang, Xiaofeng Wang, Xiao Gu

Neurocomputing, 2007

Special issue on intelligent computing theory and methodology.

De-Shuang Huang

Appl. Math. Comput., 2007

Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network.

Junfeng Xia, Bing Wang, De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2007

Application of Self-Organizing Map in Aerosol Single Particles Data Clustering.

Guo-Zhu Wen, Xiao-Yong Guo, De-Shuang Huang, KunHong Liu

Proceedings of the International Joint Conference on Neural Networks, 2007

A Hybrid HMM/ANN Based Approach for Online Signature Verification.

Zhong-Hua Quan, De-Shuang Huang, KunHong Liu, Kwok-Wing Chau

Proceedings of the International Joint Conference on Neural Networks, 2007

Palmprint Verification Based on Robust Orientation Code.

Wei Jia, De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2007

Prediction of Long-range Contacts from Sequence Profile.

Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2007

Prediction of Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method.

Bing Wang, Lu-Sheng Ge, De-Shuang Huang, Hau-San Wong

Proceedings of the Third International Conference on Natural Computation, 2007

Long-Range Temporal Correlations in the Spontaneous in vivo Activity of Interneuron in the Mouse Hippocampus.

Sheng-Bo Guo, Ying Wang, Xing Yan, Longnian Lin, Joe Tsien, De-Shuang Huang

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

An evolutionary modular neural network for unbalanced pattern classifications.

Zhong-Qiu Zhao, De-Shuang Huang

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization.

Jun Zhang, De-Shuang Huang, KunHong Liu

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Microarray data prediction by evolutionary classifier ensemble system.

KunHong Liu, De-Shuang Huang, Jun Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Improving the performance of ICA based microarray data prediction models with genetic algorithm.

KunHong Liu, De-Shuang Huang, Bo Li

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Pattern classification with a PSO optimization based elliptical basis function neural networks.

Ji-Xiang Du, De-Shuang Huang, Zengfu Wang

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

A Hybrid Forward Algorithm for RBF Neural Network Construction.

Jian Xun Peng, Kang Li, De-Shuang Huang

IEEE Trans. Neural Networks, 2006

Regulation probability method for gene selection.

Hong-Qiang Wang, De-Shuang Huang

Pattern Recognit. Lett., 2006

Classifying protein sequences using hydropathy blocks.

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

Pattern Recognit., 2006

Editorial.

Yuan Yan Tang, De-Shuang Huang

Int. J. Pattern Recognit. Artif. Intell., 2006

Nonnegative independent component analysis based on minimizing mutual information technique.

Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, Michael R. Lyu, Tat-Ming Lok

Neurocomputing, 2006

Feature selection in independent component subspace for microarray data classification.

Chun-Hou Zheng, De-Shuang Huang, Li Shang

Neurocomputing, 2006

A novel adaptive sequential niche technique for multimodal function optimization.

Jun Zhang, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu

Neurocomputing, 2006

Optimal selection of time lags for TDSEP based on genetic algorithm.

Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang

Neurocomputing, 2006

Noise removal using a novel non-negative sparse coding shrinkage technique.

Li Shang, Deshuang Huang, Chunhou Zheng, Zhan-Li Sun

Neurocomputing, 2006

Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network.

Li Shang, De-Shuang Huang, Ji-Xiang Du, Chun-Hou Zheng

Neurocomputing, 2006

Improved extreme learning machine for function approximation by encoding a priori information.

Fei Han, De-Shuang Huang

Neurocomputing, 2006

A novel full structure optimization algorithm for radial basis probabilistic neural networks.

Ji-Xiang Du, De-Shuang Huang, Guo-Jun Zhang, Zengfu Wang

Neurocomputing, 2006

The Forecast of the Postoperative Survival Time of Patients Suffered from Non-small Cell Lung Cancer Based on Pca and Extreme Learning Machine.

Fei Han, De-Shuang Huang, Zhi-Hua Zhu, Tie-Hua Rong

Int. J. Neural Syst., 2006

Erratum to "Extracting nonlinear features for multispectral images by FCMC and KPCA" [Digital Signal Processing 15 (2005) 331-346].

Zhan-Li Sun, Deshuang Huang, Yiu-ming Cheung

Digit. Signal Process., 2006

A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation

KunHong Liu, Yong Xu, De-Shuang Huang

CoRR, 2006

Independent component analysis-based penalized discriminant method for tumor classification using gene expression data.

De-Shuang Huang, Chun-Hou Zheng

Bioinform., 2006

Improved constrained learning algorithms by incorporating additional functional constraints into neural networks.

Fei Han, De-Shuang Huang

Appl. Math. Comput., 2006

Palmprint Recognition Using ICA Based on Winner-Take-All Network and Radial Basis Probabilistic Neural Network.

Li Shang, De-Shuang Huang, Ji-Xiang Du, Zhi-Kai Huang

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

Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks.

Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2006

Long-Range Interaction Analysis using Principal Component Analysis.

Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2006

Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification.

Zhong-Hua Quan, De-Shuang Huang, Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Bark Classification Based on Gabor Filter Features Using RBPNN Neural Network.

Zhi-Kai Huang, De-Shuang Huang, Ji-Xiang Du, Zhong-Hua Quan, Sheng-Bo Guo

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Classifying G-Protein Coupled Receptors with Hydropathy Blocks and Support Vector Machines.

Xing-Ming Zhao, De-Shuang Huang, Shiwu Zhang, Yiu-ming Cheung

Proceedings of the Computational Intelligence and Bioinformatics, 2006

A Novel Feature Fusion Approach Based on Blocking and Its Application in Image Recognition.

Xing Yan, Lei Cao, De-Shuang Huang, Kang Li, George W. Irwin

Proceedings of the Intelligent Computing, 2006

Gene Selection by Cooperative Competition Clustering.

Shun Pei, De-Shuang Huang, Kang Li, George W. Irwin

Proceedings of the Computational Intelligence and Bioinformatics, 2006

Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering.

Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu

Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

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

Zeroing polynomials using modified constrained neural network approach.

De-Shuang Huang, Horace Ho-Shing Ip, Ken Chee-keung Law, Zheru Chi

IEEE Trans. Neural Networks, 2005

Lidar signal denoising using least-squares support vector machine.

Bing-Yu Sun, De-Shuang Huang, Hai-Tao Fang

IEEE Signal Process. Lett., 2005

Improving protein secondary structure prediction by using the residue conformational classes.

Guang-Zheng Zhang, De-Shuang Huang, Yunping Zhu, Yi-Xue Li

Pattern Recognit. Lett., 2005

Combining a binary input encoding scheme with RBFNN for globulin protein inter-residue contact map prediction.

Guang-Zheng Zhang, De-Shuang Huang, Zhong-Hua Quan

Pattern Recognit. Lett., 2005

Global Stability of a General Class of Discrete-Time Recurrent Neural Networks.

Zhigang Zeng, De-Shuang Huang, Zengfu Wang

Neural Process. Lett., 2005

A novel approach to extracting features from motif content and protein composition for protein sequence classification.

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

Neural Networks, 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

A novel robust regression approach of Lidar signal based on modified least squares support vector machine.

Bing-Yu Sun, De-Shuang Huang, Hai-Tao Fang, Xing-Ming Yang

Int. J. Pattern Recognit. Artif. Intell., 2005

Using batch algorithm for kernel blind source separation.

Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang

Neurocomputing, 2005

Extracting nonlinear features for multispectral images by FCMC and KPCA.

Zhan-Li Sun, De-Shuang Huang, Yiu-ming Cheung

Digit. Signal Process., 2005

Determining the centers of radial basis probabilistic neural networks by recursive orthogonal least square algorithms.

De-Shuang Huang, Wen-Bo Zhao

Appl. Math. Comput., 2005

A new partitioning neural network model for recursively finding arbitrary roots of higher order arbitrary polynomials.

De-Shuang Huang, Horace Ho-Shing Ip, Ken C. K. Law, Zheru Chi, Hau-San Wong

Appl. Math. Comput., 2005

A case study for constrained learning neural root finders.

De-Shuang Huang, Zheru Chi, Wan-Chi Siu

Appl. Math. Comput., 2005

Shape matching using fuzzy discrete particle swarm optimization.

Ji-Xiang Du, De-Shuang Huang, Jun Zhang, Xiao-Feng Wang

Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure.

Chunhou Zheng, Deshuang Huang, Zhan-Li Sun, Li Shang

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

Image Feature Extraction Based on an Extended Non-negative Sparse Coding Neural Network Model.

Li Shang, Deshuang Huang, Chunhou Zheng, Zhan-Li Sun

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

Shape Recognition Based on Radial Basis Probabilistic Neural Network and Application to Plant Species Identification.

Ji-Xiang Du, Deshuang Huang, Xiaofeng Wang, Xiao Gu

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

A novel BP-based image retrieval system.

Jun-Hua Han, De-Shuang Huang

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Image Denoising Using Non-Negative Sparse Coding Shrinkage Algorithm.

Li Shang, Deshuang Huang

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

A constructive approach for finding arbitrary roots of polynomials by neural networks.

De-Shuang Huang

IEEE Trans. Neural Networks, 2004

Human face recognition based on multi-features using neural networks committee.

Zhong-Qiu Zhao, De-Shuang Huang, Bing-Yu Sun

Pattern Recognit. Lett., 2004

A Neural Root Finder of Polynomials Based on Root Moments.

De-Shuang Huang, Horace Ho-Shing Ip, Zheru Chi

Neural Comput., 2004

Prediction of inter-residue contacts map based on genetic algorithm optimized radial basis function neural network and binary input encoding scheme.

Guang-Zheng Zhang, De-Shuang Huang

J. Comput. Aided Mol. Des., 2004

Genetic Optimization Of Radial Basis Probabilistic Neural Networks.

Wen-Bo Zhao, De-Shuang Huang, Ji-Yan Du, Li-Ming Wang

Int. J. Pattern Recognit. Artif. Intell., 2004

Attractability and location of equilibrium point of cellular neural networks with time-varying delays.

Zhigang Zeng, De-Shuang Huang, Zengfu Wang

Int. J. Neural Syst., 2004

Finding roots of arbitrary high order polynomials based on neural network recursive partitioning method.

Deshuang Huang, Zheru Chi

Sci. China Ser. F Inf. Sci., 2004

Binary Input Encoding Strategy Based Neural Network for Globulin Protein Inter-residue Contacts Map Prediction.

Guang-Zheng Zhang, De-Shuang Huang, Xin Huang

Proceedings of the Advances in Neural Networks, 2004

Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks.

Zhigang Zeng, De-Shuang Huang, Zengfu Wang

Proceedings of the Advances in Neural Networks, 2004

Stability Analysis of Discrete-Time Cellular Neural Networks.

Zhigang Zeng, De-Shuang Huang, Zengfu Wang

Proceedings of the Advances in Neural Networks, 2004

A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns.

Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, Xin Huang

Proceedings of the Advances in Neural Networks, 2004

Support Vector Machine Committee for Classification.

Bing-Yu Sun, De-Shuang Huang, Lin Guo, Zhong-Qiu Zhao

Proceedings of the Advances in Neural Networks, 2004

Extracting Target Information in Multispectral Images Using a Modified KPCA Approach.

Zhan-Li Sun, De-Shuang Huang

Proceedings of the Advances in Neural Networks, 2004

Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks.

Wen-Bo Zhao, Mingyi Zhang, Li-Ming Wang, Ji-Yan Du, De-Shuang Huang

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

A Novel Hybrid GA/SVM System for Protein Sequences Classification.

Xing-Ming Zhao, De-Shuang Huang, Yiu-ming Cheung, Hong-Qiang Wang, Xin Huang

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Global Convergence of Steepest Descent for Quadratic Functions.

Zhigang Zeng, De-Shuang Huang, Zengfu Wang

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Protein secondary structure prediction based on the amino acids conformational classification and neural network technique.

Guang-Zheng Zhang, De-Shuang Huang, Hong-Qiang Wang

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Global exponential stability of delayed Cohen-Grossberg neural networks.

Zhigang Zeng, Zengfu Wang, De-Shuang Huang

Proceedings of the 8th International Conference on Control, 2004

Image compression using principal component neural network.

Jian-Xun Mi, De-Shuang Huang

Proceedings of the 8th International Conference on Control, 2004

Radial basis function neural network optimized by a genetic algorithm for soybean protein sequence residue spatial distance prediction.

Guang-Zheng Zhang, De-Shuang Huang

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003

Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks.

Wen-Bo Zhao, De-Shuang Huang, Lin Guo

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

On the Choices of the Parameters in General Constrained Learning Algorithms.

De-Shuang Huang, Horace Ho-Shing Ip

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations.

De-Shuang Huang

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Finding the maximum modulus roots of polynomials based on constrained neural networks.

De-Shuang Huang, Horace H. S. Ip

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Support vector clustering for multiclass classification problems.

Bing-Yu Sun, De-Shuang Huang

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

1999

The "bottleneck" behaviours in linear feedforward neural network classifiers and their breakthrough.

Deshuang Huang

J. Comput. Sci. Technol., 1999

Application of Generalized Radial Basis Function Networks to Recognition of Radar Targets.

De-Shuang Huang

Int. J. Pattern Recognit. Artif. Intell., 1999

A Novel Forward-Backward Smoothing-Based Learning Subspace Method for Recognition of Radar Targets.

De-Shuang Huang

Int. J. Pattern Recognit. Artif. Intell., 1999

Gradient-Newton Learning Algorithm for Feedforward Neural Networks.

Jiuzhen Liang, Xingui He, Deshuang Huang

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999

Neural Pattern Analyses Based on a Novel Error Cost Function.

De-Shuang Huang

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999

A fusion design of linear feedforward neural networks for pattern classification.

De-Shuang Huang

Proceedings of the International Joint Conference Neural Networks, 1999

On the conditions of outer-supervised feedforward neural networks for null cost learning.

De-Shuang Huang

Proceedings of the International Joint Conference Neural Networks, 1999

1998

The local minima-free condition of feedforward neural networks for outer-supervised learning.

De-Shuang Huang

IEEE Trans. Syst. Man Cybern. Part B, 1998

1997

The United Adaptive Learning Algorithm for The Link Weights and Shape Parameter in RBFN for Pattern Recognition.

De-Shuang Huang

Int. J. Pattern Recognit. Artif. Intell., 1997

1995

Application of function link net to recognition of radar targets.

Deshuang Huang, Erke Mao, Yueqiu Han

Proceedings of the 1995 International Conference on Acoustics, 1995