Neural networks, Pattern recognition, Bioinformatics, Data mining and Image processing
More than 480 papers for Academic Journals and Conferences, where there are more than 260 SCI papers, 3 Monographs and 86 Conference Proceedings
Google Scholar:
https://scholar.google.com.tw/citations?hl=zh-CN&user=L7Itc7UAAAAJ
10 Representative Works (* refers to the corresponding author)
Qinhu Zhang, Siguo Wang, Zhipeng Li, Yijie Pan, De‐Shuang Huang, Cross‐Species Prediction of Transcription Factor Binding by Adversarial Training of a Novel Nucleotide‐Level Deep Neural Network. Advanced Science 11.36 (2024): 2405685.
Qinhu Zhang, Ying He, Siguo Wang, Zhanheng Chen, Zhenhao Guo, Zhen Cui, Qi Liu, and D.S.Huang*, Base-resolution prediction of transcription factor binding signals by a deep learning framework, PLOS Computational Biology, 2022, 18(3): e1009941.
Qinhu Zhang, Siguo Wang, Zhanheng Chen, Ying He, Qi Liu, D.S.Huang*, Locating transcription factor binding sites by fully convolutional neural network, Briefings in Bioinformatics, 22(5): bbaa435, 2021.
Zhen Shen, Suping Deng, D.S.Huang*,“RNA-Protein binding sites prediction via multi- scale convolutional gated recurrent unit networks,”IEEE Transactions on Computational Biology and Bioinformatics, vol.17, no.5: 1741-1750, 2020.
Xing-Ming Zhao, Ke-Qin Liu, D.S.Huang*, “Identifying cancer-related microRNAs based on gene expression data,”Bioinformatics, oi:10.1093/bioinformatics/btu811, 31 (8): 1226-1234, 2014.
Zhu-Hong You, Ying-Ke Lei, D.S.Huang*, and Xiaobo Zhou,“Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data,”Bioinformatics, 26(21):2744-2751, 2010.
Xiao-Feng Wang, D.S.Huang* and Huan Xu, An efficient local Chan-Vese model for image segmentation, Pattern Recognition, vol. 43, no.3, pp. 603-618, 2010.
Bo Li, D.S.Huang*, Chao Wang and Kun-Hong Liu,“Feature extraction using constrained maximum variance mapping,”Pattern Recognition, vol.41, no.11, pp. 3287-3294, 2008.
D.S.Huang*, Ji-Xiang Du,“A constructive hybrid structure optimization methodology for radial basis probabilistic neural networks,”IEEE Transactions on Neural Networks, vol. 19, no.12, pp 2099-2115, 2008.
D.S.Huang*, Chun-Hou Zheng,“Independent component analysis based penalized discriminant method for tumor classification using gene expression data,”Bioinformatics, vol.22, no.15, pp.1855-1862, 2006.
D.S.Huang*,“A constructive approach for finding arbitrary roots of polynomials by neural networks,”IEEE Transactions on Neural Networks, vol.15, no.2, pp.477-491, 2004.
More than 480 papers for Academic Journals and Conferences, where there are more than 260 SCI papers, 3 Monographs and 86 Conference Proceedings
Google Scholar:
https://scholar.google.com.tw/citations?hl=zh-CN&user=L7Itc7UAAAAJ
10 Representative Works (* refers to the corresponding author)
Qinhu Zhang, Siguo Wang, Zhipeng Li, Yijie Pan, De‐Shuang Huang, Cross‐Species Prediction of Transcription Factor Binding by Adversarial Training of a Novel Nucleotide‐Level Deep Neural Network. Advanced Science 11.36 (2024): 2405685.
Qinhu Zhang, Ying He, Siguo Wang, Zhanheng Chen, Zhenhao Guo, Zhen Cui, Qi Liu, and D.S.Huang*, Base-resolution prediction of transcription factor binding signals by a deep learning framework, PLOS Computational Biology, 2022, 18(3): e1009941.
Qinhu Zhang, Siguo Wang, Zhanheng Chen, Ying He, Qi Liu, D.S.Huang*, Locating transcription factor binding sites by fully convolutional neural network, Briefings in Bioinformatics, 22(5): bbaa435, 2021.
Zhen Shen, Suping Deng, D.S.Huang*,“RNA-Protein binding sites prediction via multi- scale convolutional gated recurrent unit networks,”IEEE Transactions on Computational Biology and Bioinformatics, vol.17, no.5: 1741-1750, 2020.
Xing-Ming Zhao, Ke-Qin Liu, D.S.Huang*, “Identifying cancer-related microRNAs based on gene expression data,”Bioinformatics, oi:10.1093/bioinformatics/btu811, 31 (8): 1226-1234, 2014.
Zhu-Hong You, Ying-Ke Lei, D.S.Huang*, and Xiaobo Zhou,“Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data,”Bioinformatics, 26(21):2744-2751, 2010.
Xiao-Feng Wang, D.S.Huang* and Huan Xu, An efficient local Chan-Vese model for image segmentation, Pattern Recognition, vol. 43, no.3, pp. 603-618, 2010.
Bo Li, D.S.Huang*, Chao Wang and Kun-Hong Liu,“Feature extraction using constrained maximum variance mapping,”Pattern Recognition, vol.41, no.11, pp. 3287-3294, 2008.
D.S.Huang*, Ji-Xiang Du,“A constructive hybrid structure optimization methodology for radial basis probabilistic neural networks,”IEEE Transactions on Neural Networks, vol. 19, no.12, pp 2099-2115, 2008.
D.S.Huang*, Chun-Hou Zheng,“Independent component analysis based penalized discriminant method for tumor classification using gene expression data,”Bioinformatics, vol.22, no.15, pp.1855-1862, 2006.
D.S.Huang*,“A constructive approach for finding arbitrary roots of polynomials by neural networks,”IEEE Transactions on Neural Networks, vol.15, no.2, pp.477-491, 2004.
