Prof. De-Shuang Huang
Eastern Institute of Technology, China

Speech Title: Deep Learning Based Biological Motifs Mining
Abstract: Transcription factor/Translation factor (TF) play a central role in gene regulation. Knowing the binding specificities of TFs is essential for developing models of the regulatory processes in biological systems and for deciphering the mechanism of gene expression. In this talk, I will first present the fundamental issue for motif prediction of biological sequences, then systematically present motif prediction of biological sequences in combination with the popular emerging technology "Deep Neural Networks". Firstly, several classical models for deep neural network and the research status of biological sequence motif prediction will be briefly introduced, and the existing shortcomings of deep-learning based motif prediction is discussed, some motif prediction methods including high-order convolutional neural network architecture, weakly-supervised convolutional neural network architecture, deep-learning based sequence + shape framework and bidirectional recurrent neural network for DNA motif prediction are briefly overviewed. Secondly, some latest results are importantly presented. Finally, some new research problems in this aspect will be pointed out and over-reviewed.

Bio-Sketch: De-Shuang Huang is a Professor/Director in Biomedical Data Mining and Computing Lab, Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, China. He is currently Foreign Academician of Russian Academy of Engineering, the Fellow of the IEEE (IEEE Fellow), the Fellow of the International Association of Pattern Recognition (IAPR Fellow), the Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), and associated editors of IEEE/ACM Transactions on Computational Biology & Bioinformatics and IEEE Transactions on Cognitive and Developmental Systems, etc. He founded the International Conference on Intelligent Computing (ICIC) and the International Conference on Applied Intelligence (ICAI) in 2005 and 2023, respectively. He also served as the 2015 International Joint Conference on Neural Networks (IJCNN2015) General Chair, July12-17, 2015, Killarney, Ireland, the 2014 11th IEEE Computational Intelligence in Bioinformatics and Computational Biology Conference (IEEE-CIBCBC) Program Committee Chair, May 21-24, 2014, Honolulu, USA. He has published over 480 papers in international journals, international conferences proceedings, and book chapters. Particularly, he has published over 260 SCI indexed papers. His Google Scholar citation number is over 24500 times and H index 82. His main research interest includes neural networks, pattern recognition and bioinformatics. His main research interest includes neural networks, pattern recognition and bioinformatics.

Coming more soon......