Welcome to ICPCSEE 2022 Workshop

RegTech in Finance

The Eighth International Conference of Pioneering Computer Scientists, Engineers and Educators£¨ICPCSEE£©2022 (http://2022.icpcsee.org/) will be held in Chengdu, China, August 19-22, 2022, hosted by Southwest Petroleum University, University of Electronic Science and Technology of China and National Academy of Guo Ding Institute of Data Sciences. ICPCSEE 2022 is planned to publish the proceedings with Springer in their Communications in Computer and Information Science series, which will be indexed by EI Compendex according to previous experience of Springer. The program committee will recommend some high-quality papers to international journals.

In ICPCSEE, we will hold a workshop¡°RegTech in Finance¡±which specifically focuses on regulatory technology in finance, including cryptocurrency tracing, fraud detection, blockchain monitoring, financial security stabilization, Fintech platform regulation, etc. This conference presents an excellent opportunity for you to present your related research and learn about the emerging technologies and applications in the field. The objectives of this workshop are to raise awareness of regulatory technology and to improve the application of technology in financial regulatory scenarios.

The workshop topics include, but are not limited to:

RegTech in Finance
¡ñ Monitoring technology in public blockchain
¡ñ Tracing technology for cryptocurrency
¡ñ Fraud detection using financial big data
¡ñ Technology in financial security stabilization
¡ñ Digital currency and cryptocurrency
¡ñ Anti-Money laundering in blockchain
¡ñ Penetrating regulatory technology in finance
¡ñ Third party payment supervision
¡ñ Regulation policy and technique on Fintech platforms

Workshop Chairs

Haifeng Guo, Southwestern University of Finance and Economics, China
Hongzhi Wang, Harbin Institute of Technology, China
Meng Shen, Beijing Institute of Technology, China

Workshop Important Date

Submission Deadline: May 10, 2022

Notification of acceptance: May 20, 2022

Conference Dates:  August 19-22, 2022

Submission Information


Papers will be double-blindly reviewed without the authors' names and affiliations included. Furthermore, self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ...", must be avoided. Instead, use citations such as "Smith (1991) previously showed ...". Papers thatdo not conform to these requirements will be rejected without review. Submission will be electronic in PDF format through the Microsoft submission system at: https://cmt3.research.microsoft.com/RegTech2022/ .

Brief introduction of the organizer(s):


  Haifeng Guo

Haifeng Guo is currently a professor (PhD supervisor) in School of Finance, Southwestern University of Finance and Economics, China. She received her doctor degrees from Harbin Institute of Technology and Monash University, respectively, and then worked in Harbin Institute of Technology from 2009-2022. She focuses on research area in Fintech, Regtech and corporate finance and publishes in journals in IREF, IRFA, AE, Neurocomputing, etc, with three top hottest papers in ScienceDirect. Haifeng Guo has been PI for projects including National Key Research and Development Program of China, Natural Science Foundation of China, Humanities and Social Studies Program of Ministry of Education and co-PI for NSFC key project. She wins the New Century Excellent Talent of the Ministry of Education and the Guanghua Hundred Talent of SWUFE. She is also an academic member of the Fintech Security Technology Key Laboratory of the Ministry of Industry and Information Technology, Secretary General of the Fintech Committee of the Chinese Information Economics Society and serves as committee member of the FSERM, CIES etc.


  HongZhi Wang

Hongzhi Wang, Professor, PHD supervisor, the head of massive data computing center and the vice dean of the honors school of Harbin Institute of Technology, the secretary general of ACM SIGMOD China, outstanding CCF member, a standing committee member CCF databases and a member of CCF big data committee. Research Fields include big data management and analysis, database systems, knowledge engineering and data quality. He was ¡°starring track¡± visiting professor at MSRA and postdoctoral fellow at University of California, Irvine. Prof. Wang has been PI for more than 10 national or international projects including NSFC key project, NSFC projects and National Technical support project, and co-PI for more than 10 national projects include 973 project, 863 project and NSFC key projects. He also serves as a member of ACM Data Science Task Force. He has won First natural science prize of Heilongjiang Province, MOE technological First award, Microsoft Fellowship, IBM PHD Fellowship and Chinese excellent database engineer. His publications include over 300 papers in the journals and conferences such as VLDB Journal, IEEE TKDE, VLDB, SIGMOD, ICDE and SIGIR, 6 books and 6 book chapters. His PHD thesis was elected to be outstanding PHD dissertation of CCF and Harbin Institute of Technology. He severs as the reviewer of more than 20 international journal including VLDB Journal, IEEE TKDE, and PC members of over 50 international conferences including SIGMOD, VLDB, KDD, ICML, NeurpIS, ICDE, etc. His papers were cited more than 3000 times. His personal website is http://homepage.hit.edu.cn/wang.


  Meng Shen

Meng Shen is a full Professor in the School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China. He received the B.Eng degree from Shandong University, Jinan, China in 2009, and the Ph.D. degree from Tsinghua University, Beijing, China in 2014, both in computer science. His research interests include data privacy and security, blockchain applications, and encrypted traffic classification. He has authored over 60 papers in top-level journals and conferences, such as ACM SIGCOMM, IEEE JSAC, and IEEE TIFS. He has guest edited special issues on emerging technologies for data security and privacy in IEEE Network and IEEE Internet-of-Things Journal. He received the Best Paper Award at IEEE/ACM IWQoS 2021. Dr. Shen was selected by the Beijing Nova Program 2020 and was the winner of the ACM SIGCOMM China Rising Star Award 2019.



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