At 3:30 pm on February 20, 2025, the Faculty of Data Science of City University of Macau held an academic seminar entitled ‘Deep Learning Based Biological Motifs Mining’ in S304. The guest speaker was Professor Huang Deshuang from the Faculty of Computer Science and Technology of Ningbo Oriental Polytechnic University. This lecture attracted many teachers and students to participate, and the academic atmosphere was strong.

Professor Deshuang Huang is currently a distinguished professor and director of the Key Laboratory of Multidisciplinary/Multimodal Biomedical Data Mining and Computing at the Digital Twins Institute, School of Computer Science and Technology, Ningbo Oriental Polytechnic University. He is also a foreign academician of the Russian Academy of Engineering, an IEEE Fellow, a fellow of the International Association for Pattern Recognition, a fellow of the Asia-Pacific Artificial Intelligence Association, and a fellow of the Industrial Academy of the International Artificial Intelligence Industry Alliance. He is also the editor of the IEEE/ACM Journal of Computational Biology and Bioinformatics and the IEEE Journal of Cognitive and Developmental Systems.

In the lecture, Professor Huang introduced the basic issues of biological sequence motif prediction and systematically explained how to combine the popular emerging technology ‘deep neural network’ to perform biological sequence motif prediction. He briefly reviewed several classic models of deep neural networks and the current research status of biological sequence motif prediction, discussed in depth the existing deficiencies of motif prediction based on deep learning, and briefly outlined some motif prediction methods, such as high-order convolutional neural network architecture, weakly supervised convolutional neural network architecture, deep learning-based sequence + shape framework and the application of bidirectional recurrent neural network in DNA motif prediction. Afterwards, Professor Huang highlighted some of the latest research results and pointed out some new research problems in this field, while encouraging the teachers and students present to actively explore and challenge.

During the interactive session, Professor Huang enthusiastically responded to the enthusiastic questions from teachers and students, and conducted in-depth discussions on a number of issues in the intersection of deep learning and bioinformatics. His patient and detailed answers won rounds of applause from the teachers and students present, creating a thick and warm academic atmosphere.At this academic lecture, Professor Huang gave a wonderful speech entitled ‘Deep Learning Based Biological Motifs Mining’, which provided teachers and students with valuable academic perspectives and cutting-edge research results, stimulated heated academic discussions on the spot, and lit up a beacon for the students' academic exploration.