Recently, the research team of the multimedia and intelligent computing research direction of the School of Computer Science published a review paper "Research Progress in the Explanatory Nature of Deep Learning" (Volume 57, Issue 6, 2020) in the top domestic journal Computer Research and Development in the computer field. It was evaluated by the editorial board of Computer Research and Development and was selected into the top 10 highly cited papers in 2020 (ranking top 2). This paper was jointly completed by Cheng Keyang, a professor and doctoral supervisor of the School of Computer Science, Wang Ning, a graduate student, Shi Wenxi, a researcher of the Chinese Academy of Electronic Science, and Professor Zhan Yongzhao of our university. Jiangsu University is the first completion unit. This research achievement was supported by the National Natural Science Foundation of China (NSFC) oriented project (research on interpretable deep neural network for urban visual perception analysis), and the National Engineering Laboratory Director Fund for Social Security Risk Perception and Prevention and Control Big Data Application (PSRPC2018).

Computer Research and Development is an academic journal jointly sponsored by the Institute of Computing Technology of the Chinese Academy of Sciences and the Chinese Computer Society. It is also a category A Chinese journal recommended by CCF. It publishes the highest level academic papers and the latest scientific research achievements in China's computer field. The contents of the publication are mainly overview, software technology, information security, computer network, architecture, artificial intelligence Computer application technology (graphics and images, natural language processing, information retrieval), database technology, storage technology, basic computer theory and other related fields. For many years, the journal has been rated as China's core computer journal, China's top quality scientific and technological journal, and is the "important Chinese journal" designated by the Academic Degrees Office of the State Council to evaluate degrees and graduate education; It has been included in many international famous retrieval systems, such as American Engineering Index (EI), Japanese Scientific Literature Express, Russian Abstract Magazine, etc; Its influencing factors and total citation frequency are among the best in the same academic journals. This journal has played a great role in the development of computer science and technology and the cultivation of talents in high-tech fields in China. It is one of the most influential academic journals in computer science in China.

The interpretability research of deep learning is an interdisciplinary research topic of many disciplines, such as artificial intelligence, machine learning, cognitive psychology, logic, etc. It has important theoretical research significance and practical application value in the fields of information push, medical research, finance, information security, etc. The paper Progress in the Research on the Explainability of Deep Learning reviews the history of the research on the interpretability of deep learning from three aspects: the origin of the research on the interpretability of deep learning, the research exploration period, and the model construction period; The current research status of interpretability analysis of existing models of deep learning is presented from three aspects: visual analysis, robust disturbance analysis and sensitivity analysis; This paper analyzes the research on the construction of interpretable deep learning model from four aspects: model agent, logical reasoning, network node association analysis, and improvement of traditional machine learning model. At the same time, it analyzes the shortcomings of current research in this field, shows the typical applications of interpretable deep learning, and makes prospects for possible future research directions.

The multimedia and intelligent computing research team of the School of Computer Science of Jiangsu University has been committed to the research in the field of multimedia and artificial intelligence, and has made a number of innovative scientific research achievements. The team has 24 researchers, including 3 provincial high-level talents such as the "333 Project", "Six Talent Peaks" and "Blue Blue Project" in Jiangsu Province, and 2 young academic backbones of Jiangsu University. The research mainly focuses on the theories and methods of large-scale video, image semantic modeling and analysis, visual voice emotion analysis, mobile media content analysis and human-computer interaction, scene modeling and animation, graphics and image digital watermarking, etc.