De-Shuang Huang

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 112

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Neurocomputing

Bioinform.

CoRR

Publications

Lei Wang, Zheng-Wei Li, Zhu-Hong You, De-Shuang Huang, Leon Wong
MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Lei Wang, Zheng-Wei Li, Zhu-Hong You, De-Shuang Huang, Leon Wong
GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Zejun Gu, Zhong-Qiu Zhao, Henghui Ding, Hao Shen, Zhao Zhang, De-Shuang Huang
Cross-Domain Knowledge Distillation for Low-Resolution Human Pose Estimation. CoRR (2024)
Lin Yuan, Shengguo Sun, Qinhu Zhang, Hai-Tao Li, Zhen Shen, Chunyu Hu, Xiaogang Zhao, Lan Ye, Chun-Hou Zheng, De-Shuang Huang
Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer. Future Gener. Comput. Syst. 159 (2024)
Lei Wang, Leon Wong, Zhu-Hong You, De-Shuang Huang
AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association. IEEE Trans. Big Data 10 (4) (2024)
Zhi-Peng Li, Hai-Long Su, Xiao-Bo Zhu, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
SSPool: A Simple Siamese Framework for Graph Infomax Pooling. IEEE Trans. Netw. Sci. Eng. 11 (1) (2024)
Pengrui Teng, Wenjian Liu, Xuesong Wang, Di Wu, Chang-an Yuan, Yuhu Cheng, De-Shuang Huang
Beyond singular prototype: A prototype splitting strategy for few-shot medical image segmentation. Neurocomputing 597 (2024)
Zhi-Peng Li, Hai-Long Su, Yong-Wu, Qinhu Zhang, Chang-an Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
Hierarchical Multiview Top-k Pooling With Deep-Q-Networks. IEEE Trans. Artif. Intell. 5 (6) (2024)
Zhen-Hao Guo, Yan-Bin Wang, Siguo Wang, Qinhu Zhang, De-Shuang Huang
scCorrector: a robust method for integrating multi-study single-cell data. Briefings Bioinform. 25 (2) (2024)
Lei Wang, Zhu-Hong You, De-Shuang Huang, Jianqiang Li
MGRCDA: Metagraph Recommendation Method for Predicting CircRNA-Disease Association. IEEE Trans. Cybern. 53 (1) (2023)
Hai-Long Su, Zhi-Peng Li, Xiao-Bo Zhu, Li-Na Yang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, Anthony G. Cohn, De-Shuang Huang
Hierarchical Graph Neural Network Based on Semi-Implicit Variational Inference. IEEE Trans. Cogn. Dev. Syst. 15 (2) (2023)
Ying He, Qinhu Zhang, Siguo Wang, Zhanheng Chen, Zhen Cui, Zhen-Hao Guo, De-Shuang Huang
Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Qinhu Zhang, Pengrui Teng, Siguo Wang, Ying He, Zhen Cui, Zhenghao Guo, Yixin Liu, Changan Yuan, Qi Liu, De-Shuang Huang
Computational prediction and characterization of cell-type-specific and shared binding sites. Bioinform. 39 (1) (2023)
Qinhu Zhang, Youhong Xu, Siguo Wang, Yong Wu, Yuannong Ye, Chang-An Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Lei Huang, De-Shuang Huang, Yuan Yuan Chen, Yu Zhong Peng, Chao Wang, Jianping Liao
FasterPlateNet: A Faster Deep Neural Network for License Plate Detection and Recognition. ICAI (1) (2023)
Lin Yuan, Jiawang Zhao, Zhen Shen, Qinhu Zhang, Yushui Geng, Chun-Hou Zheng, De-Shuang Huang
iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction. PLoS Comput. Biol. 19 (8) (2023)
Yong Wu, Guo-Dui He, Li-Hua Wen, Xiao Qin, Chang-an Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
Discriminative Local Representation Learning for Cross-Modality Visible-Thermal Person Re-Identification. IEEE Trans. Biom. Behav. Identity Sci. 5 (1) (2023)
Tianying Yan, Changhai Wang, Changan Yuan, De-Shuang Huang
A Broader Study of Spectral Missing in Multi-spectral Vehicle Re-identification. ICAI (2) (2023)
Siguo Wang, Qinhu Zhang, Ying He, Zhen Cui, Zhen-Hao Guo, Kyungsook Han, De-Shuang Huang
DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes. PLoS Comput. Biol. 18 (10) (2022)
Jianbin Huang, Longji Huang, Meijuan Liu, He Li, Qinglin Tan, Xiaoke Ma, Jiangtao Cui, De-Shuang Huang
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms. ACM Trans. Intell. Syst. Technol. 13 (3) (2022)
Qinhu Zhang, Ying He, Siguo Wang, Zhanheng Chen, Zhen-Hao Guo, Zhen Cui, Qi Liu, De-Shuang Huang
Base-resolution prediction of transcription factor binding signals by a deep learning framework. PLoS Comput. Biol. 18 (3) (2022)
De-Shuang Huang
Recent development on intelligent computing. Neurocomputing 488 (2022)
De-Shuang Huang, Kyungsook Han, Tatsuya Akutsu
Guest Editorial for Special Section on the 16th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Zhi-Peng Li, Hai-Long Su, Xiao-Bo Zhu, Xiumei Wei, Xuesong Jiang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
Hierarchical Graph Pooling With Self-Adaptive Cluster Aggregation. IEEE Trans. Cogn. Dev. Syst. 14 (3) (2022)
Hai-Cheng Yi, Zhu-Hong You, De-Shuang Huang, Chee Keong Kwoh
Graph representation learning in bioinformatics: trends, methods and applications. Briefings Bioinform. 23 (1) (2022)
Zhen Shen, Qinhu Zhang, Kyungsook Han, De-Shuang Huang
A Deep Learning Model for RNA-Protein Binding Preference Prediction Based on Hierarchical LSTM and Attention Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Qinhu Zhang, Yindong Zhang, Siguo Wang, Zhan-Heng Chen, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Hao Shen, Zhong-Qiu Zhao, Wenrui Liao, Weidong Tian, De-Shuang Huang
Joint operation and attention block search for lightweight image restoration. Pattern Recognit. 132 (2022)
Lei Wang, Leon Wong, Zhu-Hong You, De-Shuang Huang, Xiao-Rui Su, Bo-Wei Zhao
NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Zhen Cui, Zhan-Heng Chen, Qinhu Zhang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Qinhu Zhang, Zhen Shen, De-Shuang Huang
Predicting in-vitro Transcription Factor Binding Sites Using DNA Sequence + Shape. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (2) (2021)
Qinhu Zhang, Wenbo Yu, Kyungsook Han, Asoke K. Nandi, De-Shuang Huang
Multi-Scale Capsule Network for Predicting DNA-Protein Binding Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
Zhen-Hao Guo, Zhu-Hong You, De-Shuang Huang, Hai-Cheng Yi, Kai Zheng, Zhan-Heng Chen, Yan-Bin Wang
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm. Briefings Bioinform. 22 (2) (2021)
Hai-Cheng Yi, Zhu-Hong You, Zhen-Hao Guo, De-Shuang Huang, Keith C. C. Chan
Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Yong Wu, Kun Zhang, Di Wu, Chao Wang, Chang-an Yuan, Xiao Qin, Tao Zhu, Yuchuan Du, Hanli Wang, De-Shuang Huang
Person Reidentification by Multiscale Feature Representation Learning With Random Batch Feature Mask. IEEE Trans. Cogn. Dev. Syst. 13 (4) (2021)
Di Wu, Chao Wang, Yong Wu, Qicong Wang, De-Shuang Huang
Attention Deep Model With Multi-Scale Deep Supervision for Person Re-Identification. IEEE Trans. Emerg. Top. Comput. Intell. 5 (1) (2021)
Van-Thanh Hoang, De-Shuang Huang, Kang-Hyun Jo
3-D Facial Landmarks Detection for Intelligent Video Systems. IEEE Trans. Ind. Informatics 17 (1) (2021)
Qinhu Zhang, Siguo Wang, Zhanheng Chen, Ying He, Qi Liu, De-Shuang Huang
Locating transcription factor binding sites by fully convolutional neural network. Briefings Bioinform. 22 (5) (2021)
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
Yi Pan, De-Shuang Huang, Jian-Xin Wang, Fa Zhang
Preface. J. Comput. Sci. Technol. 36 (2) (2021)
Qinhu Zhang, Vitoantonio Bevilacqua, De-Shuang Huang
Special issue: Advanced Intelligent Computing Theory and Applications in Big Data Era. Neurocomputing 452 (2021)
Qinhu Zhang, Dailun Wang, Kyungsook Han, De-Shuang Huang
Predicting TF-DNA Binding Motifs from ChIP-seq Datasets Using the Bag-Based Classifier Combined With a Multi-Fold Learning Scheme. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, De-Shuang Huang
A survey on deep learning in DNA/RNA motif mining. Briefings Bioinform. 22 (4) (2021)
Zhen Shen, Su-Ping Deng, De-Shuang Huang
Capsule Network for Predicting RNA-Protein Binding Preferences Using Hybrid Feature. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (5) (2020)
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
Guest Editorial for Special Section on the 14th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 17 (5) (2020)
Chen Peng, Yang Zheng, De-Shuang Huang
Capsule Network Based Modeling of Multi-omics Data for Discovery of Breast Cancer-Related Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (5) (2020)
Lei Wang, Zhu-Hong You, Yu-An Huang, De-Shuang Huang, Keith C. C. Chan
An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network. Bioinform. 36 (13) (2020)
Qinhu Zhang, Lin Zhu, Wenzheng Bao, De-Shuang Huang
Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Hai-Cheng Yi, Zhu-Hong You, Xiao-Rui Su, De-Shuang Huang, Zhen-Hao Guo
A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model. ICIC (2) (2020)
Lei Wang, Zhu-Hong You, De-Shuang Huang, Fengfeng Zhou
Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (3) (2020)
Zhen Shen, Su-Ping Deng, De-Shuang Huang
RNA-Protein Binding Sites Prediction via Multi Scale Convolutional Gated Recurrent Unit Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (5) (2020)
De-Shuang Huang
Special issue on advanced intelligent computing: Theory and applications. Neurocomputing 408 (2020)
Di Wu, Si-Jia Zheng, Wenzheng Bao, Xiao-Ping (Steven) Zhang, Chang-An Yuan, De-Shuang Huang
-identification. Neurocomputing 324 (2019)
Andong Li, Di Wu, De-Shuang Huang, Lijun Zhang
Convolutional Capsule-Based Network for Person Re-identification. ICIC (1) (2019)
Bo Li, Zhang-Tao Fan, Xiao-Long Zhang, De-Shuang Huang
Robust dimensionality reduction via feature space to feature space distance metric learning. Neural Networks 112 (2019)
Di Wu, Hong-Wei Yang, De-Shuang Huang, Chang-An Yuan, Xiao Qin, Yang Zhao, Xin-Yong Zhao, Jian-Hong Sun
Omnidirectional Feature Learning for Person Re-Identification. IEEE Access 7 (2019)
Di Wu, Si-Jia Zheng, Chang-An Yuan, De-Shuang Huang
A deep model with combined losses for person re-identification. Cogn. Syst. Res. 54 (2019)
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
Guest Editorial for Special Section on the 13th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 16 (3) (2019)
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
Deep learning-based methods for person re-identification: A comprehensive review. Neurocomputing 337 (2019)
De-Shuang Huang
Guest editorial for special section on the 13th international conference on intelligent computing (ICIC). Cogn. Syst. Res. 53 (2019)
Xianpeng Liang, Di Wu, De-Shuang Huang
Image Co-Segmentation via Locally Biased Discriminative Clustering. IEEE Trans. Knowl. Data Eng. 31 (11) (2019)
Lin Yuan, Le-Hang Guo, Chang-an Yuan, Youhua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang
Integration of Multi-Omics Data for Gene Regulatory Network Inference and Application to Breast Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (3) (2019)
Di Wu, Chao Wang, Yong Wu, De-Shuang Huang
Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification. CoRR (2019)
Qinhu Zhang, Lin Zhu, De-Shuang Huang
High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Wenzheng Bao, Bin Yang, De-Shuang Huang, Dong Wang, Qi Liu, Yuehui Chen, Rong Bao
IMKPse: Identification of Protein Malonylation Sites by the Key Features Into General PseAAC. IEEE Access 7 (2019)
Bin Liu, Fan Yang, De-Shuang Huang, Kuo-Chen Chou
iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC. Bioinform. 34 (1) (2018)
Xianpeng Liang, De-Shuang Huang
Image segmentation fusion using weakly supervised trace-norm multi-task learning method. IET Image Process. 12 (7) (2018)
Wenzheng Bao, Chang-An Yuan, Youhua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang
Mutli-Features Prediction of Protein Translational Modification Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (5) (2018)
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
Guest Editorial for Special Section on the 12th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 15 (5) (2018)
Xianpeng Liang, Lin Zhu, De-Shuang Huang
Optimization of Gene Set Annotations Using Robust Trace-Norm Multitask Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (2018)
Hongbo Zhang, Lin Zhu, De-Shuang Huang
DiscMLA: An Efficient Discriminative Motif Learning Algorithm over High-Throughput Datasets. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (6) (2018)
Bin Liu, Fan Weng, De-Shuang Huang, Kuo-Chen Chou
iRO-3wPseKNC: identify DNA replication origins by three-window-based PseKNC. Bioinform. 34 (18) (2018)
Di Wu, Kun Zhang, Si-Jia Zheng, De-Shuang Huang
Random Occlusion-recovery for Person Re-identification. CoRR (2018)
Lin Zhu, Hong-Bo Zhang, De-Shuang Huang
LMMO: A Large Margin Approach for Refining Regulatory Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (2018)
Si-Jia Zheng, Di Wu, Fei Cheng, Yang Zhao, Chang-An Yuan, Xiao Qin, De-Shuang Huang
A Simple and Effective Deep Model for Person Re-identification. ICIC (3) (2018)
Di Wu, Si-Jia Zheng, Fei Cheng, Yang Zhao, Chang-An Yuan, Xiao Qin, Yong-Li Jiang, De-Shuang Huang
A Hybrid Deep Model for Person Re-Identification. ICIC (3) (2018)
Basma Abdulaimma, Abir Hussain, Paul Fergus, Dhiya Al-Jumeily, Paulo Lisboa, De-Shuang Huang, Naeem Radi
Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors. CEC (2018)
Bin Liu, Kai Li, De-Shuang Huang, Kuo-Chen Chou
iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach. Bioinform. 34 (22) (2018)
Di Wu, Hong-Wei Yang, De-Shuang Huang
Omni-directional Feature Learning for Person Re-identification. CoRR (2018)
Chen Peng, Liang Zou, De-Shuang Huang
Discovery of Relationships Between Long Non-Coding RNAs and Genes in Human Diseases Based on Tensor Completion. IEEE Access 6 (2018)
Lin Zhu, Hong-Bo Zhang, De-Shuang Huang
Direct AUC optimization of regulatory motifs. Bioinform. 33 (14) (2017)
Zhen Shen, You-Hua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang
miRNA-Disease Association Prediction with Collaborative Matrix Factorization. Complex. 2017 (2017)
Chong-Ya Li, Lin Zhu, Wenzheng Bao, Yong-Li Jiang, Chang-An Yuan, De-Shuang Huang
Convex local sensitive low rank matrix approximation. IJCNN (2017)
Lin Zhu, Suping Deng, Zhu-Hong You, De-Shuang Huang
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (2) (2017)
Lin Yuan, Lin Zhu, Wei-Li Guo, Xiaobo Zhou, Youhua Zhang, Zhenhua Huang, De-Shuang Huang
Nonconvex Penalty Based Low-Rank Representation and Sparse Regression for eQTL Mapping. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (5) (2017)
Hongbo Zhang, De-Shuang Huang
Soft-bag based motif discovery for ChIP-seq datasets. BIBM (2017)
Dayuan Li, Lin Zhu, Wenzheng Bao, Fei Cheng, Yi Ren, De-Shuang Huang
Cross-validated smooth multi-instance learning. IJCNN (2017)
Lin Zhu, Suping Deng, De-Shuang Huang
Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications. Neurocomputing 228 (2017)
Xianpeng Liang, Lin Zhu, De-Shuang Huang
Multi-task ranking SVM for image cosegmentation. Neurocomputing 247 (2017)
Su-Ping Deng, Shaolong Cao, De-Shuang Huang, Yu-Ping Wang
Identifying Stages of Kidney Renal Cell Carcinoma by Combining Gene Expression and DNA Methylation Data. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (5) (2017)
Wenzheng Bao, Zhichao Jiang, De-Shuang Huang
Novel human microbe-disease association prediction using network consistency projection. BMC Bioinform. 18 (16) (2017)
Fei Han, Chun Yang, Ya-Qi Wu, Jiansheng Zhu, Qing-Hua Ling, Yuqing Song, De-Shuang Huang
A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (1) (2017)
Wenzheng Bao, Zhenhua Huang, Chang-An Yuan, De-Shuang Huang
Pupylation sites prediction with ensemble classification model. Int. J. Data Min. Bioinform. 18 (2) (2017)
Lin Yuan, Chang-An Yuan, De-Shuang Huang
FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis. Complex. 2017 (2017)
Byungmin Kim, Saud Alguwaizani, Xiang Zhou, De-Shuang Huang, Byunkyu Park, Kyungsook Han
An improved method for predicting interactions between virus and human proteins. J. Bioinform. Comput. Biol. 15 (1) (2017)
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
Guest Editorial for Special Section on the 11th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 14 (5) (2017)
Feng He, Guanghui Zhu, Yin-Ying Wang, Xing-Ming Zhao, De-Shuang Huang
PCID: A Novel Approach for Predicting Disease Comorbidity by Integrating Multi-Scale Data. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (3) (2017)
Wei-Li Guo, Kyungsook Han, De-Shuang Huang
Prediction of Target Genes Based on Multiway Integration of High-Throughput Data. ICIC (1) (2016)
Suping Deng, Lin Zhu, De-Shuang Huang
Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (1) (2016)
Wei-Li Guo, Kyungsook Han, De-Shuang Huang
Analysis of MicroRNA and Transcription Factor Regulation. ICIC (1) (2016)

De-Shuang Huang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

De-Shuang Huang