The 1st International Workshop on Smart Finance(IWSF)
 
 
 
 
 
 
 
 
 
 


The 1st International Workshop on Smart Finance (IWSF)

CALL FOR PAPERS

The 1st International Workshop on Smart Finance(IWSF)

February 27, 2019, Kyoto, JAPAN

In conjunction with the IEEE BigComp 2019.





Background and Purpose

With the rapid development and widespread application of technologies such as big data, artificial intelligence, Internet of Things and cloud computing in the financial field, the financial industry has been comprehensively upgraded in terms of business processes, risk control, products and services, and gradually achieve the transition to smart.

However, the development level of smart finance is still in its infancy, and the key points are big data and business applications. The characteristic of financial data including multi-source, huge-volume, real-time and confidentiality is the primary challenge for smart finance. Moreover, it must be considered how to integrate emerging technologies into the practical application scenarios and promote the integrated application of smart products in the financial field. In addition, smart finance relies on emerging technologies, and the business model will change accordingly. Inevitably, new risks are brought to the financial industry, which puts new demands on the regulatory authorities. Regulators need to closely follow the development of smart financial technologies and study emerging financial risks and corresponding regulatory tools.


 


Scope and Theme

This workshop focuses on the technical communication in the field of smart finance. Through the sharing of experience and achievements by the experts and researchers in their research and practice, we hope to enhance the close collaboration between academic research and business applications, accelerate the deep integration and applications of technology in the financial industry, and finally, jointly promote the innovation and development of big data and intelligent computing in the financial field.

The theme of this workshop is to discuss the latest developments in the application of big data and intelligent computing technology in the financial industry, including but not limited to:

  • Financial knowledge graph
  • Financial anti-fraud research
  • Intelligent investment consultant
  • Intelligent investment consultant
  • Smart Bank
  • Finance in the consumer domain
  • Financial industry supervision
  • Financial risk management
  • QA robot in customer service

PAPER SUBMISSION

The submitted paper should be in English and in PDF format. Regular papers are limited to 8 pages and short ones to 4 pages. The paper should not be previously published or currently under review elsewhere. The direct link for paper submission is https://easychair.org/conferences/?conf=iwsf2019.

The paper templates with formatting instructions can be found at:

All submissions will be peer-reviewed and selected based on their originality, merit, and relevance to the workshop. All accepted papers will be published in the IEEE Xplore Digital Library as conference proceedings.


IMPORTANT DATES


Paper Submission Due
December 11, 2018

Notification of Acceptance
December 31, 2018

Camera-Ready Papers
January 7, 2019

Author registration due
January 7, 2019

Workshop
February 27, 2018



 


ORGANIZATIONAL COMMITTEE


Program Co-Chairs

  • Xiangling Fu, Beijing University of Posts and Communications, China

  • Jiayin Qi, Shanghai University of International Business and Economics, China

  • Yong Jin Kim, Sogang University, Korean

Program Committee

  • Jintae Lee, Colorado university of Colorado at Boulder, USA

  • Kishen Iyengar, Northern Illinois University, USA

  • Sam Seongmin Jeon, Gachon University, Korean

  • Weiqiang Wu, China Huarong Asset Management Co. Ltd, China

  • Yanjie Feng, Shanghai University of International Business and Economics, China

  • Xi Zhang, Beijing University of Posts and Telecommunications, China

  • Ye Wu, Beijing Normal University, China

  • Lei Li, Beijing University of Posts and Telecommunications, China

  • Shenlong Han, Peking University, China

  • Jinpeng Chen, Beijing University of Posts and Telecommunications, China



 
 


INVITED SPEECH


 


Speaker

Professor Yong Jin Kim, Sogang University
Yong Jin Kim
  • Professor, Sogang University, Korea
  • The center head of Sogang University Smart Fintech Research Center



Miao Fan, Staff Scientist, Big Data Lab (U.S.), Baidu Research
Miao Fan
  • Staff Scientist, Big Data Lab (U.S.), Baidu Research
  • Speech Title: Helpfulness Prediction of Online Reviews


 


Program

The First International Workshop on Smart Finance (IWSF 2019)

WorkshopChairs: Xiangling Fu (Beijing University of Posts and Telecommunications, China)

Time

Title

Presenter/Author

8:50-9:30

Registration

9:30-9:35

Chairs welcome speech

9:35-10:00

Keynote speech: Digital Transformation and Smart Finance

Yong Jin Kim(Sogang University, Korea)

9:35-10:00

Keynote speech: Helpfulness Prediction of Online Reviews

Miao Fan(Big Data Lab (U.S.), Baidu Research)

10:30-10:45

Coffee Break

10:45-11:00

Diagnosis of Corporate Insolvency using Massive News Articles for Credit Management
Hoon Jin1, Jeoung-Pyo Hong1, Kang-Ho Lee1, Dong-Won Joo1.
1(Xinapse co., Ltd., South Korea)

11:00-11:15

Node Scheduling: A Blockchain-based Node Selection Approach on Sapiens Chain
Yue Wu1, Zhongru Wang2, Qiang Ruan3, Jinyu Shi1, Binxing Fang1
1(Beijing University of Posts and Telecommunications, China)
2(Zhejiang Lab, China)
3(Beijing DigApis Technology Co., Ltd, China)

11:15-11:30

Neural Network Based Relation Extraction of Enterprises in Credit Risk Management
Chenwei Yan1, Xiangling Fu1, Weiqiang Wu2, Shilun Lu3, Ji Wu4
1(Beijing University of Posts and Telecommunications, China)
2(Postdoctoral Workstation, China HuaRong Asset Management Co., Ltd, China)
3(HuaRong RongTong (Beijing) Technology Co., Ltd, China)
4(Tsinghua University, China)

11:30-11:45

Network-Based Feature Extraction Method for Fraud Detection via Label Propagation
Pengya Zhao1, Xiangling Fu1, Weiqiang Wu2, Da Li3, Jing Li1
1(Beijing University of Posts and Telecommunications, China)
2(Postdoctoral Workstation, China HuaRong Asset Management Co., Ltd, China)
3(HuaRong RongTong (Beijing) Technology Co., Ltd, China)

11:45-12:00

CEAM: A Novel Approach Using Cycle Embeddings with Attention Mechanism for Stock Price Prediction
Mu-Hui Yu1, Jheng-Long Wu2

1(National Taiwan University, Taiwan China)
2(Soochow University, Taiwan China)

12:00-12:05

Closing Remarks