Yang Bao

Associate Professor, Department:Data and Business Intelligence at Antai College of Economics & Management

Schools

  • Antai College of Economics & Management

Links

Biography

Antai College of Economics & Management

Research Interests:

  • Business Analytics and Intelligence, Multimodal Data Mining, Natural Language Processing, Human-Centered AI

Education:

  • Ph.D., National University of Singapore, 2014
  • Master, Nanjing University, 2009
  • Bachelor, Nanjing University, 2007

Employment:

  • Associate Professor, Antai College of Economics & Management, Shanghai Jiao Tong University, 2021.7-Present
  • Assistant Professor, Antai College of Economics & Management, Shanghai Jiao Tong University, 2015.8-2021.6
  • Research Fellow, Business School, Nanyang Technological University, 2014.7-2015.6
  • Research Associate, Business School, Nanyang Technological University, 2013.10-2014.6
  • Research Intern, National Institute of Informatics, Tokyo, Japan, 2012.3-2012.7

Publications:

Selected Journal Papers:

  • Yang Bao, Bin Ke, Bin Li, Julia Yu, and Jie Zhang. Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach. Journal of Accounting Research, 58 (1): 199-235, 2020.

  • Yang Bao, and Anindya Datta. Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures. Management Science, 60 (6): 1371-1391, 2014.

Selected Working Papers:

  • Yang Bao, and Hui Fang. Bayesian Trust Modeling Based on Online Rating Behaviors: A Probabilistic Programming Approach.
  • Yang Bao, Bin Ke, and Xiaojun Zhang. Predicting Corporate Earnings Using a Machine Learning Approach.
  • Xun Ji, Yang Bao, and Hui Fang. FinRiskBERT: A Fine-Tuned BERT Model for Predicting Financial Risk from Conference Call Transcripts.

Book Chapters:

  • Yang Bao, Gilles Hilary and Bin Ke. Artificial Intelligence and Fraud Detection. In: Babich V., Birge J.R., Hilary G. (eds) Innovative Technology at the Interface of Finance and Operations, Springer Series in Supply Chain Management, vol 11. Springer, Cham.

Grants:

  • PI, Research on Corporate Disclosures using Multimodal Deep Learning with Human in the Loop, NSFC, 2023.1-2026.12, 460,000CNY.
  • PI, Text Analysis of Corporate Disclosures using Machine Learning: Methods and Applications, NSFC, 2017.1-2019.12, 180,000CNY.
  • PI, Detecting Accounting Frauds using Machine Learning, Shanghai Pujiang Program, 2016.9-2020.8, 100,000CNY.

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