Neural networks, Pattern recognition, Bioinformatics, Data mining and Image processing
Background Information
De-Shuang Huang, PhD/PI Research Professor, PhD Advisor, Eastern Institute of Technology, Ningbo, China. Director of the Key Laboratory of Multiomics and Multimodal Biomedical Data Mining and Computing (Class A), Ningbo. The Recipient of “Hundred Talents Program of Chinese Academy of Sciences” (Class A), Chief Scientist (Host) for National Science and Technology Innovation 2030 New Generation AI Major Project. Fellow of Institute of Electrical and Electronics Engineer (IEEE Fellow), Fellow of International Association for Pattern Recognition (IAPR), Fellow of the International Academy of Artificial Intelligence Sciences (AAIS), Fellow of International Artificial Intelligence Industry Alliance(AIIA). He is Founding Editor-in-Chief of Computational Biomedicine. Founder of the Society of International Computing (SIC), Founder of International Conference on Intelligent Computing (consecutively organized for 22 years, EI & CCF C indexed conference), Founder of International Conference on Applied Intelligence (consecutively organized for 3 years, EI indexed conference), Founding Director of Biomedical Data Mining and Computing Professional Committee of China Bioinformatics Society. 8 NSFC projects in the leading team have been obtained since 2023. So far, he has published over 320 SCI papers like Nature Communication, Advanced Science, etc. He was selected as the one of Highly Cited Chinese Researchers List for Scopus Database of Elsevier (Computer Sciences Edition) from 2014 to 2025. Up to present, his Google Scholar citation number is over 28420 times, and H index 87.He published 3 monographs and edited 168 conference proceedings. The one of his three monographs won the Second-Class Prize of the 8th Excellent High Technology Books of China in June 1997. In addition, he also won the First-Class Prize in Natural Science of Anhui Province of China in 2010, the First-Class Prize in Natural Science of Ministry of Education of China in 2016 and the First-Class Prize in Wu Wenjun Award for Advancement of Artificial Intelligence Science and Technology of China in 2018.
Research Field
Neural Networks, Pattern Recognition, Bioinformatics, Data Mining and Image Processing
Educational Background
1986: B.Sc., National Defense University of Science and Technology (originally called as The Institute of Electronic Engineering), Hefei, China
1989: M.S.c, National Defense University of Science and Technology, Changsha
1993: Ph.D, Xidian University, Xi’An, China
Work Experience
2022-Present: PI Research Professor, Eastern Institute of Technology, Ningbo, China.
2011-2022: Professor, Tongji University, Shanghai, China.
2000-2011: PI Researcher Professor, Hefei Institute of Intelligent Machines (IIM), Chinese Academy of Sciences, Hefei, China.
1997 to 2000: Associate Professor, Beijing Institute of System Engineering, Beijing, China.
1995-1997: Postdoctor Research Fellow and Associate Professor, National Key Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
1993-1995: Postdoctor Research Fellow, Beijing Institute of Technology, Beijing, China.
Academic Experience
2015-2018 Visiting Professor, Liverpool John-Moore University, UK.
2007-2007: Visiting Professor, Inha University, Korea.
2008-2008: Visiting Professor, Inha University, Korea.
2009-2009: Visiting Professor, Inha University, Korea.
2005-2006: Research Fellow, Chinese University of Hong Kong, HK.
2006-2006: Visiting Professor, Queen’s University of Belfast, UK.
2004-2004: University Fellow, Hong Kong Baptist University, HK.
2003-2003: Research Fellow, Hong Kong Polytechnic University, HK.
2003-2003: Visiting Professor, George Washington University, USA.
2002 -2003: Research Fellow, City University of Hong Kong, HK.
2000-2001: Research Associate, Hong Kong Polytechnic University, HK.
Academic Part-time Jobs (Partial)
2024-Present: Founding Editor-in-Chief, Computational Biomedicine
2020-Present: Associate Editor, Artificial Intelligence and Decision Making (published by the Russian Academy of Sciences).
2016-Present: Associate Editor, Current Protein & Peptide Science.
2022-2025: Associate Editor, IEEE Transactions on Cognitive and Developmental Systems.
2018-2024: Associate Editor, IEEE/ACM Transactions on Computational Biology & Bioinformatics.
2012-2020: Associate Editor, Neural Networks.
2006-2009: Adviser Editor, Transactions of the Institute of Measurement and Control.
2005-Present: Founder & Chairman, International Conference on Intelligent Computing.
2014-2014: Program Committee Chair, The 2014 11th IEEE Computational Intelligence in Bioinformatics and Computational Biology, Honolulu, USA, May 21-24, 2014.
2015-2015: General Chair, 2015 International Joint Conference on Neural Networks, Killarney, Ireland，July 12 - 16, 2015.
2021-Present: Director, Biomedical Data Mining and Computing Professional Committee, China Bioinformatics Society.
2019-2023: Vice Director, Bioinformatics Professional Committee of China Computer Federation.
2018-Present: Senior Member, China Computer Federation.
1996-Present: Senior Member, Chinese Institute of Electronics.
2006-Present: Member, Intelligent Automation Professional Committee of China Automation Society.
Awards and Honors
2024: Fellow, International Artificial Intelligence Industry Alliance
2022: Fellow, the International Academy of Artificial Intelligence Sciences (AAIS).
2021: Fellow, Institute of Electrical and Electronics Engineer (IEEE) .
2014: Fellow, International Association for Pattern Recognition (IAPR).
The Project “Key Technologies and Applications of Image Processing in Complex Scene” received the First-Class Prize in Wu Wenjun Award for Advancement of Artificial Intelligence Science and Technology of China in 2018.
The Project “The Study of Theories and Methodologies of Intelligent Learning and Computing” received the First-Class Prize in Natural Science of Ministry of Education of China in 2016.
The Project “The Study of Theories and Applications of Neural Networks and Statistical Learning” received the First-Class Prize in Natural Science of Anhui Province of China in 2010.
The book “Systematic Theory of Neural Networks for Pattern Recognition” (Publishing House of Electronic Industry of China, May 1996, 323 pages) won the Second-Class Prize of the 8th Excellent High Technology Books of China in June 1997.
Representative Works
More than 500 papers for Academic Journals and Conferences, where there are more than 310 SCI papers, 3 Monographs and 168 Conference Proceedings. Up to now his 41 patents of invention or utility model patents were authorized in China, 1 one was authorized in USA and 2 ones authorized in Japan. As Guest Editor, he edited 31 Special Issues in 14 kinds of journals.
10 Representative Works (* refers to the corresponding author)
(1)Guo Z H, D.S.Huang*, Zhang S [Multi-species integration, alignment and annotation of single-cell RNA-seq data with CAMEX] Nature Communications 17, 3017 (2026).
(2)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.
(3)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.
(4)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.
(5)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.
(6)Xing-Ming Zhao, Ke-Qin Liu, D.S.Huang* [Identifying cancer-related microRNAs based on gene expression data] Bioinformatics, doi:10.1093/bioinformatics/btu811, 31 (8): 1226-1234, 2014.
(7)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.
(8)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.
(9)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.
(10)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.
