Background Information

De-Shuang Huang, PhD/Professor, PhD Advisor, Eastern Institute of Technology, Ningbo, China. The Recipient of“Hundred Talents Program of Chinese Academy of Sciences”in 2000, Chief Scientist (Host) for National Science and Technology Innovation 2030 New Generation AI Major Project, Management Expert for National Science and Technology Innovation 2030 - Brain Science and Brain like Research Major Project, Member of the 14th Expert Review Team of National Natural Science Foundation of China. Active Member of Academy of Science of New York, Fellow of Institute of Electrical and Electronics Engineer (IEEE Fellow), Fellow of International Association for Pattern Recognition (IAPR), Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), Member of China Award Committee of ACM SIGBIO. Program Committee Chair of the 2014 11th IEEE Computational Intelligence in Bioinformatics and Computational Biology (Honolulu, USA), General Chair of the 2015 International Joint Conference on Neural Networks (Killarney, Ireland), Founder & Chairman of International Conference on Intelligent Computing (successfully and consecutively organized for 19 years, EI & CCF C indexed conference), Director of Biomedical Data Mining and Computing Professional Committee of China Bioinformatics Society, Vice Director of Bioinformatics Professional Committee of China Computer Federation.

Up to present, his Google Scholar citation number is over 24220 times, and H index 81. He is associated editors of IEEE/ACM Transactions on Computational Biology & Bioinformatics and IEEE Transactions on Cognitive and Developmental Systems, etc. So far, he has published 260 SCI papers, where the number of papers with impact factor over 5.0 like Genome Biology, PLOS Computational Biology, Bioinformatics and Brief in Bioinformatics is over 50 ones, the number of papers published in IEEE Transactions series is 69 ones. The number of SCI citations for his papers is over 7100 times. The related figures of his three articles published in Neural Computation, Digital Signal Processing and Methods, respectively, were selected as the journal front covers. His published four papers were selected as ESI ones. He was selected as the one of Highly Cited Chinese Researchers List for Scopus Database of Elsevier (Computer Sciences Edition) from 2014 to 2022. He published 3 monographs and edited 86 conference proceedings. The one of his three monographs won the 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. Up to now his 35 patent of inventions or utility model patents were authorized in China, 1 one was authorized in USA and 2 ones authorized in Japan. He was also authorized in software copyright for 7 projects. As Guest Editor, he edited 31 Special Issues in 14 kinds of journals.

Research Field

Neural networks, Pattern recognition, Bioinformatics, Data mining and Image processing

Educational Background

1986: B.Sc., The Institute of Electronic Engineering, Hefei

1989: M.S.c, National Defense University of Science and Technology

1993: Ph.D, Xidian University

Work Experience

2022-Present: Professor, Eastern Institute of Technology, Ningbo, China.

2011-2022: Professor, Tongji University, Shanghai, China.

2000-2011: 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)

2022-Present: Associate Editor, IEEE Transactions on Cognitive and Developmental Systems.

2020-Present: Associate Editor, Artificial Intelligence and Decision Making (published by the Russian Academy of Sciences).

2018-Present: Associate Editor, IEEE/ACM Transactions on Computational Biology & Bioinformatics.

2016-Present: Associate Editor, Current Protein & Peptide Science.

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-Present: Vice Director, Bioinformatics Professional Committee of China Computer Federation.

2017-Present: Member, China Award Committee of ACM SIGBIO.

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

2022: Fellow, The Asia-Pacific Artificial Intelligence Association (AAIA).

2021: Fellow, Institute of Electrical and Electronics Engineer (IEEE) .

2014: Fellow, International Association for Pattern Recognition (IAPR).

1998: Active Member, Academy of Science of New York.

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 the Second-Class Prize of the 8th Excellent High Technology Books of China in June 1997.

Representative Works

More than 480 papers for Academic Journals and Conferences, where there are more than 260 SCI papers, 3 Monographs and 58 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, 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.