Jujun Huang



Email: jhuang83 [at] binghamton.edu
Assistant Professor of Management Information Systems
School of Management
Binghamton University, SUNY
Updated: Sep, 2024



Research Interests

  • Design Science, Data Science

  • Research Methods: Natural Language Processing, Deep Learning, Econometrics

  • Applied Area: FinTech, Social Media Analytics

Education

  • Ph.D. in Information Systems & Analytics

    Stevens Institute of Technology

  • M.S. in Business Intelligence & Analytics

    Stevens Institute of Technology

  • B.B.A.

    Shanghai University of International Business and Economics

Research

Published Paper:

  • Tracking Disclosure Change Trajectories for Financial Fraud Detection (2022) [ With Rong Liu, Zhongju(John) Zhang ], Production and Operations Management.
    Doi: 10.1111/poms.13888. [FT50, UTD24, ABS-4]
    download

 

Working Paper：

  • More than Words: Quantifying Skepticism toward Firm’s Fundamentals [ with Rong Liu, Ying Wu, Elaine Henry ].



  • AI in Love with You: Linguistic Convergence in Human-Chatbot Relationship Development [ with J Nan Wilkenfeld, Bei Yan, Guirong Luo, Kristina Algas ].

    • Target Journal: Journal of Computer-Mediated Communication [ABS-3]
    • Status: to be submitted
      • abstract link


  • Interpreting Market Risks with Deep Learning Method.

    • Status: working for conference paper

 

Peer-reviewed Conference & Workshop Papers:

  • More than Words: Quantifying Colloquial Skepticism toward Firm’s Fundamentals, Financial Management Association (FMA) Annual Meeting (2022).

  • AI in Love with You: Linguistic Convergence in Human-Chatbot Relationship Development, Academy of Management (AOM) Proceedings (2022).

  • Leveraging Disclosure Change Trajectories to Detect Financial Frauds, Workshop on Information Technology and Systems (WITS) (2021). (received Best Student Paper Award)

Presentations

More than Words: Quantifying Colloquial Skepticism toward Firm’s Fundamentals

  • Financial Management Association (FMA) Annual Meeting.
  • Atlanta GA, Oct 2022.

 

AI in Love with You: Linguistic Convergence in Human-Chatbot Relationship Development

  • Academy of Management (AOM) Annual Meeting.
  • Seattle WA, Aug 2022.

 

Leveraging Disclosure Change Trajectories to Detect Financial Frauds

  • Workshop on Information Technology and Systems (WITS).
  • Austin TX, Dec 2021.

Teaching

T.A. & Instructor, Stevens Institute of Technology:

 

  • MIS634: Business Intelligence and Data Integration

    • Served as the instructor of this master core course.
    • Taught weakly lectures about business intelligence and relational/ non-relational database (ER modeling, dimensional modeling, ETL, data visualization, etc.).
    • Provided tutorials about the operation of database and data analysis tools, such as Erwin, Alteryx, MongoDB, Tableau.
    • Designed course materials, in-class exercises, and homework.

  • BIA660: Web Mining

    • Served as a teaching assistant of this master core course.
    • Assisted 150+ students to learn and understand Python programming, natural language processing, text classification, text clustering, topic modeling, sentiment analysis.

Service

Journal and Conference Review:

 

  • International Conference on Information Systems (ICIS), 2024

  • Workshop on Information Technology and Systems (WITS), 2023

  • Conference on Information Systems and Technology (CIST), 2023

  • Machine Learning with Applications, 2022 & 2023

  • INFORMS Workshop on Data Science, 2022

  • IEEE International Conference on Services Computing, 2021

Non-Academic Experience

  • Data Science Intern, United Nations, Mar. 2018 - Sep. 2018

    • Applied advanced natural language processing techniques to process text data.
    • Built models by combining several algorithms (SVM, XGBoost, etc.).
    • Provided artificial intelligence solution to textual classification for UN’s website.