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2020 – today
- 2022
[j173]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)- [j172]De-Shuang Huang:
Recent development on intelligent computing. Neurocomputing 488: 412-413 (2022) - [j171]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): 753-762 (2022) - [j170]He Li, Xuejiao Li, Liangcai Su, Duo Jin, Jianbin Huang, Deshuang Huang:
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction. ACM Trans. Intell. Syst. Technol. 13(2): 19:1-19:21 (2022) - 2021
- [j169]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): 2085-2095 (2021) - [j168]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) - [j167]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) - [j166]Qinhu Zhang, Vitoantonio Bevilacqua, De-Shuang Huang:
Special issue: Advanced Intelligent Computing Theory and Applications in Big Data Era. Neurocomputing 452: 508-509 (2021) - [j165]Yi Pan, De-Shuang Huang, Jian-Xin Wang, Fa Zhang:
Preface. J. Comput. Sci. Technol. 36(2): 231-233 (2021) - [j164]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): 865-874 (2021) - [j163]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): 667-676 (2021) - [j162]De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha:
Guest Editorial for Special Section on the 15th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1730-1732 (2021) - [j161]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): 1743-1751 (2021) - [j160]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): 1793-1800 (2021) - [j159]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): 2546-2554 (2021) - [j158]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): 70-78 (2021) - [j157]Van-Thanh Hoang, De-Shuang Huang, Kang-Hyun Jo:
3-D Facial Landmarks Detection for Intelligent Video Systems. IEEE Trans. Ind. Informatics 17(1): 578-586 (2021) - [e49]De-Shuang Huang, Kang-Hyun Jo, Jianqiang Li, Valeriya V. Gribova, Vitoantonio Bevilacqua:
Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12836, Springer 2021, ISBN 978-3-030-84521-6 [contents] - [e48]De-Shuang Huang, Kang-Hyun Jo, Jianqiang Li, Valeriya V. Gribova, Abir Hussain:
Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12837, Springer 2021, ISBN 978-3-030-84528-5 [contents] - [e47]De-Shuang Huang, Kang-Hyun Jo, Jianqiang Li, Valeriya V. Gribova, Prashan Premaratne:
Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12838, Springer 2021, ISBN 978-3-030-84531-5 [contents] - 2020
- [j156]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): 4038-4046 (2020) - [j155]De-Shuang Huang:
Special issue on advanced intelligent computing: Theory and applications. Neurocomputing 408: 188 (2020) - [j154]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): 679-689 (2020) - [j153]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): 972-980 (2020) - [j152]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): 1474-1475 (2020) - [j151]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): 1483-1492 (2020) - [j150]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): 1605-1612 (2020) - [j149]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): 1741-1750 (2020) - [c98]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: 339-347 - [e46]De-Shuang Huang, Vitoantonio Bevilacqua, Abir Hussain:
Intelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12463, Springer 2020, ISBN 978-3-030-60798-2 [contents] - [e45]De-Shuang Huang, Kang-Hyun Jo:
Intelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12464, Springer 2020, ISBN 978-3-030-60801-9 [contents] - [e44]De-Shuang Huang, Prashan Premaratne:
Intelligent Computing Methodologies - 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12465, Springer 2020, ISBN 978-3-030-60795-1 [contents]
2010 – 2019
- 2019
- [j148]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: 28402-28411 (2019) - [j147]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: 54073-54083 (2019) - [j146]De-Shuang Huang:
Guest editorial for special section on the 13th international conference on intelligent computing (ICIC). Cogn. Syst. Res. 53: 1-2 (2019) - [j145]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: 74-82 (2019) - [j144]Di Wu, Si-Jia Zheng, Wenzheng Bao, Xiao-Ping (Steven) Zhang, Chang-An Yuan, De-Shuang Huang:
A novel deep model with multi-loss and efficient training for person re-identification. Neurocomputing 324: 69-75 (2019) - [j143]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: 354-371 (2019) - [j142]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: 1-14 (2019) - [j141]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): 749-750 (2019) - [j140]Lin Yuan, Lehang 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): 782-791 (2019) - [j139]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): 1184-1192 (2019) - [j138]Xianpeng Liang, Di Wu, De-Shuang Huang:
Image Co-Segmentation via Locally Biased Discriminative Clustering. IEEE Trans. Knowl. Data Eng. 31(11): 2228-2233 (2019) - [c97]Andong Li, Di Wu, De-Shuang Huang, Lijun Zhang:
Convolutional Capsule-Based Network for Person Re-identification. ICIC (1) 2019: 304-311 - [c96]Jiangchuan Wei, Hanli Wang, Yun Yi, Qinyu Li, Deshuang Huang:
P3D-CTN: Pseudo-3D Convolutional Tube Network for Spatio-Temporal Action Detection in Videos. ICIP 2019: 300-304 - [c95]Yihao Chen, Hanli Wang, Qinyu Li, Deshuang Huang:
Data Driven Regularization for Convolutional Neural Networks on Image Classification. ISCAS 2019: 1-5 - [e43]De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne:
Intelligent Computing Theories and Application - 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11643, Springer 2019, ISBN 978-3-030-26762-9 [contents] - [e42]De-Shuang Huang, Kang-Hyun Jo, Zhi-Kai Huang:
Intelligent Computing Theories and Application - 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11644, Springer 2019, ISBN 978-3-030-26968-5 [contents] - [e41]De-Shuang Huang, Zhi-Kai Huang, Abir Hussain:
Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11645, Springer 2019, ISBN 978-3-030-26765-0 [contents] - [i7]Di Wu, Chao Wang, Yong Wu, De-Shuang Huang:
Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification. CoRR abs/1911.10335 (2019) - 2018
- [j137]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: 59152-59162 (2018) - [j136]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): 33-40 (2018) - [j135]Bin Liu, Fan Weng, De-Shuang Huang, Kuo-Chen Chou:
iRO-3wPseKNC: identify DNA replication origins by three-window-based PseKNC. Bioinform. 34(18): 3086-3093 (2018) - [j134]Bin Liu, Kai Li, De-Shuang Huang, Kuo-Chen Chou:
iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach. Bioinform. 34(22): 3835-3842 (2018) - [j133]Xianpeng Liang, De-Shuang Huang:
Image segmentation fusion using weakly supervised trace-norm multi-task learning method. IET Image Process. 12(7): 1079-1085 (2018) - [j132]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): 913-925 (2018) - [j131]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): 1016-1021 (2018) - [j130]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): 1433-1435 (2018) - [j129]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): 1453-1460 (2018) - [j128]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): 1810-1820 (2018) - [c94]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: 1-7 - [c93]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: 223-228 - [c92]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: 229-234 - [e40]De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne, Phalguni Gupta:
Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10954, Springer 2018, ISBN 978-3-319-95929-0 [contents] - [e39]De-Shuang Huang, Kang-Hyun Jo, Xiaolong Zhang:
Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10955, Springer 2018, ISBN 978-3-319-95932-0 [contents] - [e38]De-Shuang Huang, M. Michael Gromiha, Kyungsook Han, Abir Hussain:
Intelligent Computing Methodologies - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part III. Lecture Notes in Computer Science 10956, Springer 2018, ISBN 978-3-319-95956-6 [contents] - [i6]Di Wu, Kun Zhang, Si-Jia Zheng, De-Shuang Huang:
Random Occlusion-recovery for Person Re-identification. CoRR abs/1809.09970 (2018) - [i5]Di Wu, Hong-Wei Yang, De-Shuang Huang:
Omni-directional Feature Learning for Person Re-identification. CoRR abs/1812.05319 (2018) - 2017
- [j127]Lin Zhu, Hong-Bo Zhang, De-Shuang Huang:
Direct AUC optimization of regulatory motifs. Bioinform. 33(14): i243-i251 (2017) - [j126]Wenzheng Bao, Zhichao Jiang, De-Shuang Huang:
Novel human microbe-disease association prediction using network consistency projection. BMC Bioinform. 18(16): 173-181 (2017) - [j125]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: 2498957:1-2498957:9 (2017) - [j124]Lin Yuan, Chang-An Yuan, De-Shuang Huang:
FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis. Complex. 2017: 5024867:1-5024867:10 (2017) - [j123]Wenzheng Bao, Zhenhua Huang, Chang-An Yuan, De-Shuang Huang:
Pupylation sites prediction with ensemble classification model. Int. J. Data Min. Bioinform. 18(2): 91-104 (2017) - [j122]Lin Zhu, Suping Deng, De-Shuang Huang:
Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications. Neurocomputing 228: 1-2 (2017) - [j121]Xianpeng Liang, Lin Zhu, De-Shuang Huang:
Multi-task ranking SVM for image cosegmentation. Neurocomputing 247: 126-136 (2017) - [j120]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): 1650024:1-1650024:17 (2017) - [j119]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): 85-96 (2017) - [j118]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): 345-352 (2017) - [j117]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): 678-686 (2017) - [j116]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): 1104-1105 (2017) - [j115]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): 1147-1153 (2017) - [j114]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): 1154-1164 (2017) - [c91]Hongbo Zhang, De-Shuang Huang:
Soft-bag based motif discovery for ChIP-seq datasets. BIBM 2017: 146-149 - [c90]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: 256-261 - [c89]Dayuan Li, Lin Zhu, Wenzheng Bao, Fei Cheng, Yi Ren, De-Shuang Huang:
Cross-validated smooth multi-instance learning. IJCNN 2017: 1321-1325 - [e37]De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne, Phalguni Gupta:
Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10361, Springer 2017, ISBN 978-3-319-63308-4 [contents] - [e36]De-Shuang Huang, Kang-Hyun Jo, Juan Carlos Figueroa-García:
Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10362, Springer 2017, ISBN 978-3-319-63311-4 [contents] - [e35]De-Shuang Huang, Abir Hussain, Kyungsook Han, M. Michael Gromiha:
Intelligent Computing Methodologies - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part III. Lecture Notes in Computer Science 10363, Springer 2017, ISBN 978-3-319-63314-5 [contents] - 2016
- [j113]Wei-Li Guo, Lin Zhu, Suping Deng, Xing-Ming Zhao, Deshuang Huang:
Understanding tissue-specificity with human tissue-specific regulatory networks. Sci. China Inf. Sci. 59(7): 070105:1-070105:10 (2016) - [j112]Yoonsuck Choe, Asim Roy, Haibo He, De-Shuang Huang:
Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports]. IEEE Comput. Intell. Mag. 11(1): 8-10 (2016) - [j111]Lin Zhu, Vitoantonio Bevilacqua, De-Shuang Huang:
Special issue on Advanced Intelligent Computing Methodologies and Applications. Neurocomputing 188: 1-2 (2016) - [j110]Hai Min, Xiao-Feng Wang, De-Shuang Huang, Wei Jia:
A novel dual minimization based level set method for image segmentation. Neurocomputing 214: 910-926 (2016) - [j109]De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha:
Guest Editorial for Special Section on the 10th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 13(1): 1-3 (2016) - [j108]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): 27-35 (2016) - [j107]Lin Zhu, Wei-Li Guo, Suping Deng, De-Shuang Huang:
ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition. IEEE ACM Trans. Comput. Biol. Bioinform. 13(1): 55-63 (2016) - [j106]Wen Jiang, De-Shuang Huang, Shenghong Li:
Random Walk-Based Solution to Triple Level Stochastic Point Location Problem. IEEE Trans. Cybern. 46(6): 1438-1451 (2016) - [c88]Lin Zhu, Ning Li, Wenzheng Bao, De-Shuang Huang:
Learning regulatory motifs by direct optimization of Fisher Exact Test Score. BIBM 2016: 86-91 - [c87]Wenzheng Bao, Lin Zhu, De-Shuang Huang:
ILSES: Identification lysine succinylation-sites with ensemble classification. BIBM 2016: 274-277 - [c86]Wei-Li Guo, Kyungsook Han, De-Shuang Huang:
Analysis of MicroRNA and Transcription Factor Regulation. ICIC (1) 2016: 278-284 - [c85]Wei-Li Guo, Kyungsook Han, De-Shuang Huang:
Prediction of Target Genes Based on Multiway Integration of High-Throughput Data. ICIC (1) 2016: 455-460 - [c84]Lin Yuan, Kyungsook Han, De-Shuang Huang:
Novel Algorithm for Multiple Quantitative Trait Loci Mapping by Using Bayesian Variable Selection Regression. ICIC (3) 2016: 862-868 - [c83]Wenzheng Bao, Zhichao Jiang, Kyungsook Han, De-Shuang Huang:
Prediction of Lysine Acetylation Sites Based on Neural Network. ICIC (2) 2016: 873-879 - [c82]Gang Wang, De-Shuang Huang:
Representing logical relations automatically by Probabilistic Logical Dynamical Neural Network. IJCNN 2016: 471-476 - [c81]Qing-Yi Liu, Lin Zhu, De-Shuang Huang, Gang Wang, Xiao-Ping (Steven) Zhang, Li Shang, Zhi-Kai Huang:
Visual data completion via local sensitive low rank tensor learning. IJCNN 2016: 2693-2698 - [e34]De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne:
Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9771, Springer 2016, ISBN 978-3-319-42290-9 [contents] - [e33]De-Shuang Huang, Kang-Hyun Jo:
Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9772, Springer 2016, ISBN 978-3-319-42293-0 [contents] - [e32]De-Shuang Huang, Kyungsook Han, Abir Hussain:
Intelligent Computing Methodologies - 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9773, Springer 2016, ISBN 978-3-319-42296-1 [contents] - 2015
- [j105]Xing-Ming Zhao, Keqin Liu, Guanghui Zhu, Feng He, Béatrice Duval, Jean-Michel Richer, De-Shuang Huang, Changjun Jiang, Jin-Kao Hao, Luonan Chen:
Identifying cancer-related microRNAs based on gene expression data. Bioinform. 31(8): 1226-1234 (2015) - [j104]Zhiwei Ji, Guanmin Meng, Deshuang Huang, Xiao-Qiang Yue, Bing Wang:
NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma. Comput. Math. Methods Medicine 2015: 846942:1-846942:12 (2015) - [j103]