Jujun Huang

Assistant Professor of Management Information Systems at Binghamton University

宾汉姆顿大学 管理信息系统助理教授

Email:邮箱： jhuang83@binghamton.edu

Web:网站： jhuang2023.github.io

About Me

I am an Assistant Professor of Management Information Systems in the School of Management at Binghamton University, SUNY. My research draws on design science, data science, and large language models (LLMs) to study financial disclosure, AI-assisted communication, and trust in AI, with applications in FinTech and social media analytics.

I hold a Ph.D. in Business Administration (Information Systems concentration) and an M.S. in Business Intelligence & Analytics from Stevens Institute of Technology, and a Bachelor of Management from Shanghai University of International Business and Economics.

Professional Summary

Assistant Professor of Management Information Systems at Binghamton University, SUNY, researching design science, data science, large language models, FinTech, and social media analytics. Combines natural language processing, deep learning, and econometrics to study financial disclosure, AI-assisted communication, and trust in AI.

Research Interests

Research Methods: Natural Language Processing, Deep Learning, Econometrics

Applied Areas: Design Science, Data Science, LLMs, FinTech, Social Media Analytics

Publication tags:NLPFinTechLLMsDesign ScienceEconometrics

Publications

Published Paper

  • Liu R., Huang J., Zhang Z. (2022). Tracking Disclosure Change Trajectories for Financial Fraud Detection, Production and Operations Management [UTD, FT50, ABDC-A*]. DOI: 10.1111/poms.13888 NLPFinTech

Under Review

  • Huang J., Liu R., Wu Y. Does Skepticism Improve Information Quality? Evidence from Earnings Conference Calls, Decision Sciences [ABDC-A*]. Major Revision Invited (1st Round). NLPFinTech
  • Weixiao W., Huang J., Torrie W. The Impact of Chinese Import Competition on U.S. Firms’ Sentiment, International Journal of Disclosure and Governance [ABDC-B]. Under 1st Round Review. NLPFinTech

Conference Proceedings

  • Huang J., Xiong Z. The Penalty of AI-assisted Disclosure: Language Convergence, Innovation, and Market Reactions. Academy of Management Proceedings, 2026(1), 20965. Received credit funds from the OpenAI Research Program. LLMsFinTech
  • Huang J., Liu R., Duan W. Professional Skepticism: A Catalyst for Public Discourse in Online Medical Communities. Proceedings of the 2025 Pre-ICIS SIGDSA Symposium, 2025, 76. NLP

Working Papers

  • Huang J., Sun Y. A Framework for Tracking Skill Evolution in the Age of AI. Target: Management Science. LLMsDesign Science
  • McKeever D., Huang J., Havrylyshyn A., Liang N. Diminished Cognition in Older CEOs and Firm Performance. Target: FT50 journal. NLPEconometrics
  • Jiang J., Khai S., Huang J., Gao K. AI Phrasing in Earnings Calls. LLMsFinTech
  • Huang J., Kadian A., Liu R., Duan W. Professional Skepticism: A Catalyst for Public Discourse in Online Medical Communities. Target: ISR. NLP
  • Huang J., Xiong Z., Zhang Z. The Penalty of AI-assisted Disclosure: Language Convergence, Innovation, and Market Reactions. Target: MISQ. LLMsFinTech

Education

  • Stevens Institute of Technology, Hoboken, NJInformation Systems, Ph.D.
  • Stevens Institute of Technology, Hoboken, NJBusiness Intelligence & Analytics, M.S.
  • Shanghai University of International Business and Economics, Shanghai, ChinaManagement, B.A.

Academic Service

Journal and Conference Review

  • Information Systems Research — 2026
  • Management Science — 2026
  • International Conference on Information Systems (ICIS) — 2025, 2024
  • Summer Workshop on AI for Business — 2025
  • Emerging Markets Review — 2025
  • Workshop on Information Technology and Systems (WIST) — 2023
  • Conference on Information Systems and Technology (CIST) — 2023
  • INFORMS Workshop on Data Science — 2022
  • IEEE International Conference on Services Computing — 2021

Teaching Experience

  • Binghamton University — Instructor, Natural Language Processing (MIS-480P)2025 Spring
  • Binghamton University — Instructor, Practical Data Wrangling (MIS-480D)2024 Fall
  • Stevens Institute of Technology — Instructor, Business Intelligence and Data Integration (MIS-634, Master core course)2022 / 2023 / 2024 Spring

Awards & Honors

  • Outstanding Dissertation Award — Stevens Institute of Technology, 2023 – 2024
  • Best Student Paper Award — Workshop on Information Technology and Systems (WITS), Dec 2021
  • Graduate Assistantship — Stevens Institute of Technology, 2019 – 2023
  • Master's Fellowship — Stevens Institute of Technology, 2016

关于我

我是纽约州立大学宾汉姆顿分校（Binghamton University, SUNY）管理学院的管理信息系统助理教授。我的研究结合设计科学、数据科学与大语言模型（LLMs），关注财务信息披露、AI 辅助沟通，以及公众对人工智能的信任问题，并将其应用于金融科技（FinTech）与社交媒体分析领域。

我在史蒂文斯理工学院（Stevens Institute of Technology）获得工商管理博士学位（信息系统方向）和商业智能与分析硕士学位，本科毕业于上海对外经贸大学，获管理学学士学位。

个人简介

纽约州立大学宾汉姆顿分校管理学院管理信息系统助理教授，研究方向涵盖设计科学、数据科学、大语言模型、金融科技与社交媒体分析，综合运用自然语言处理、深度学习与计量经济学方法，研究财务信息披露、AI 辅助沟通与公众对人工智能的信任问题。

研究方向

研究方法： 自然语言处理、深度学习、计量经济学

应用领域： 设计科学、数据科学、大语言模型（LLMs）、金融科技（FinTech）、社交媒体分析

论文标签：自然语言处理金融科技大语言模型设计科学计量经济学

论文发表

已发表

  • Liu R.、Huang J.、Zhang Z.（2022）. Tracking Disclosure Change Trajectories for Financial Fraud Detection, Production and Operations Management [UTD, FT50, ABDC-A*]. DOI: 10.1111/poms.13888 自然语言处理金融科技

审稿中

  • Huang J.、Liu R.、Wu Y. Does Skepticism Improve Information Quality? Evidence from Earnings Conference Calls, Decision Sciences [ABDC-A*]. 大修邀请中（第一轮）。自然语言处理金融科技
  • Weixiao W.、Huang J.、Torrie W. The Impact of Chinese Import Competition on U.S. Firms’ Sentiment, International Journal of Disclosure and Governance [ABDC-B]. 第一轮审稿中。自然语言处理金融科技

会议论文集

  • Huang J.、Xiong Z. The Penalty of AI-assisted Disclosure: Language Convergence, Innovation, and Market Reactions. Academy of Management Proceedings, 2026(1), 20965. 获 OpenAI Research Program 研究经费资助。大语言模型金融科技
  • Huang J.、Liu R.、Duan W. Professional Skepticism: A Catalyst for Public Discourse in Online Medical Communities. Proceedings of the 2025 Pre-ICIS SIGDSA Symposium, 2025, 76. 自然语言处理

工作论文

  • Huang J.、Sun Y. A Framework for Tracking Skill Evolution in the Age of AI. 目标期刊：Management Science。大语言模型设计科学
  • McKeever D.、Huang J.、Havrylyshyn A.、Liang N. Diminished Cognition in Older CEOs and Firm Performance. 目标期刊：FT50 journal。自然语言处理计量经济学
  • Jiang J.、Khai S.、Huang J.、Gao K. AI Phrasing in Earnings Calls. 大语言模型金融科技
  • Huang J.、Kadian A.、Liu R.、Duan W. Professional Skepticism: A Catalyst for Public Discourse in Online Medical Communities. 目标期刊：ISR。自然语言处理
  • Huang J.、Xiong Z.、Zhang Z. The Penalty of AI-assisted Disclosure: Language Convergence, Innovation, and Market Reactions. 目标期刊：MISQ。大语言模型金融科技

教育经历

  • 史蒂文斯理工学院，美国新泽西州霍博肯信息系统，博士
  • 史蒂文斯理工学院，美国新泽西州霍博肯商业智能与分析，硕士
  • 上海对外经贸大学，中国上海管理学，学士

学术服务

期刊与会议审稿

  • Information Systems Research — 2026
  • Management Science — 2026
  • International Conference on Information Systems（ICIS）— 2025、2024
  • Summer Workshop on AI for Business — 2025
  • Emerging Markets Review — 2025
  • Workshop on Information Technology and Systems（WIST）— 2023
  • Conference on Information Systems and Technology（CIST）— 2023
  • INFORMS Workshop on Data Science — 2022
  • IEEE International Conference on Services Computing — 2021

教学经历

  • 宾汉姆顿大学 — 授课教师，自然语言处理（MIS-480P）2025年春季
  • 宾汉姆顿大学 — 授课教师，实用数据整理（MIS-480D）2024年秋季
  • 史蒂文斯理工学院 — 授课教师，商业智能与数据集成（MIS-634，硕士核心课程）2022 / 2023 / 2024年春季

奖项与荣誉

  • 优秀博士论文奖 — 史蒂文斯理工学院，2023 – 2024
  • 最佳学生论文奖 — Workshop on Information Technology and Systems（WITS），2021年12月
  • 研究生助教/助研奖学金 — 史蒂文斯理工学院，2019 – 2023
  • 硕士奖学金 — 史蒂文斯理工学院，2016