The Intelligent Information Processing Innovation Cultivating Team is based on the Key Laboratory of Financial Intelligence and Financial Engineering in Sichuan Province. It is committed to researching the future-oriented intelligent information processing technology, serving the business and financial industries, thus achieving the cross-integration of information technology and financial disciplines. The team used the unique financial discipline background of Southwestern Finance University to achieve a soft and hard combination of finance and information science, providing a complete demonstration site for scientific research, project development, and results presentation.
So far, the team research has won the support of China's National Natural Science Foundation, the American Natural Science Foundation, the Ministry of Education, the Sichuan Provincial Science and Technology Department, the China Scholarship Council, the Huo Yingdong Fund, and the Alibaba Research Institute. More than 30 outstanding graduates have been trained, and six of them have successfully won scholarships in the United States, Canada, and South Korea. Many students work for well-known companies at home and abroad, including IBM, Alibaba, Samsung and so on. We always look forward to and welcome outstanding researchers and students to join our research team.
Since its inception, the innovation team has been adhering to the "people-oriented technology" philosophy, and is committed to researching information-accessible intelligent information processing technology and intelligent information processing-based securities market risk warning and management mechanisms.
With the rapid development of information technology, the Internet has evolved from a simple information publishing platform to a social network, which has promoted the profound transformation of people's social lifestyle. In this emerging network, people are free to share information, make friends, learn, and even work and start a business. However, due to the limitations of current technology, a large number of visually impaired and elderly people cannot fully enjoy the convenience brought by Internet technology. In view of this, the intelligent information processing team researches and develops intelligent information processing technology for the visually impaired and the elderly, so that it can access Internet information as smoothly as ordinary people. This field is becoming an international research hotspot. The US government has allocated tens of millions of dollars since 2004 to fund the IEEE Fellow Dr. S. Panchanathan to establish the Universal Perception Research Center (CUbiC) at Arizona State University, dedicating to research and develop the Information accessibility technology for the visually impaired. The OASIS and MAISON systems developed by the center have been successfully deployed in the Arizona Children's Foundation Library and the National Natural Science Foundation Library respectively, making it the world's first network information accessibility system. At present, China's research in this area has not received enough attention, and it lags far behind the level of international research. In stark contrast, China has the world's largest visually impaired and elderly population, accounting for about 13% of China's population. In the face of such a large and urgent need of social attention, the development and application of network accessibility technology products is particularly important.
(2)Early warning and management mechanism of securities market risk based on intelligent information processing
From the primitive communication phase of "Breakfast" to the era of optoelectronic communication, and now to the Internet age, information as the most important market factor and price factor constantly influences and reconstructs the securities market. So, in the Internet era, how does information dissemination affect the stability of the securities market? Does the massive amount of social media information lead to investors' distraction of effective information, but instead causes the price to reflect the information as a whole? In the context of investor irrational behavioral finance, can effective information always be reflected in the securities market “in a timely, comprehensive and true way”? The time lag of information processing is an important indicator to measure the “depth” of the securities market. The depth and breadth of the securities market determine the stability and volatility of the securities market. Then, in the instantaneous processing of information, whether the market is overreacted or underreacted (further questions are, which information is over-reported and which information is not reflected enough)? Is the spread of Internet media, especially social media information, in the Chinese market to help reduce information asymmetry between market participants, or is it a hotbed of illegal, one-sided or false information? The above questions are of great significance for answering the key questions of whether China's securities market is effective, whether investors are rational, whether the securities market microstructure design is reasonable, and whether the securities market has sufficient depth and breadth, in order to maintain the stability and prosperity of China's securities market. It is vital. It is urgent to study advanced intelligent information processing technology to accurately quantify and analyze the relationship between Internet media information and the securities market. To this end, we are committed to researching a complete solution to systematically quantify the impact of Internet media on the securities market, and provide important decision-making assistance for safeguarding the rights and interests of investors, strengthening the management of the securities market and optimizing the stability mechanism of the securities market. In addition, the relevant research results can be widely used in social media hotspot tracking, public opinion analysis and precision marketing, and provide a good idea for quantifying social science research.
In terms of international cooperation, we have a good relationship with the CUbiC Research Center of Arizona State University and have been working on intelligent information processing for a long time. The relevant cooperation results were published in internationally renowned journals and conferences (including ACM Transaction on Information Systems, AAAI) and jointly undertaken a National Natural Science Foundation of the United States. At the same time, we have established a joint cooperation mechanism with the Microsoft Natural Language Processing Joint Laboratory of the Korea Institute of Science and Technology (KAIST). He has conducted in-depth cooperation in the fields of Internet data mining and sentiment analysis, and has published several research reports in famous journals and conferences such as Information Processing & Management, ACL. Good international cooperation and joint research results have effectively guaranteed the smooth development of this project and the normal and orderly conduct.
The main members of the innovation team are researchers who have been engaged in first-line scientific research for a long time. They have their own strengths in related research fields, and the members of this project team have always maintained good cooperative relations. They have jointly published many international academic papers and commitments. A number of national research projects. So far, the innovation team has published more than 70 English academic papers in world-class academic journals and conferences, including SCI journal papers (including ACM Transactions on Information Systems, Pattern Recognition, Information Sciences, Information Processing & Management, Journal of Intelligent Information Systems), 32 articles such as Applied Artificial Intelligence, IEEE Journal of Lightwave Technology, and more than 40 papers of important international conferences (including ACM SIGIR, ACL, WWW, AAAI, etc.).