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

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

Teaching Interests

Courses Taught: Business Intelligence and Data Integration, Practical Data Wrangling, Natural Language Processing

Additional Interests: Applied Machine Learning, Generative AI for Business, Management Information Systems

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

Presentations & Conferences

  1. Design Research on Artificial Intelligence: Challenges, Opportunities, and Frontiers — PWD Invited Presenter, Academy of Management (AOM) Annual Meeting. Philadelphia, PA · Aug 2026
  2. The Penalty of AI-assisted Disclosure: Language Convergence, Innovation, and Market Reactions — Academy of Management (AOM) Annual Meeting. Philadelphia, PA · Aug 2026
  3. Professional Skepticism: A Catalyst for Public Discourse in Online Medical Communities — Data Science Salon, Binghamton University, SUNY (Mar 2026); Pre-ICIS SIGDSA Symposium (Dec 2025)
  4. Interpreting Market Risks with Deep Learning Method — TREO, 2024 International Conference on Information Systems (ICIS). Bangkok, Thailand · Dec 2024
  5. More than Words: Quantifying Colloquial Skepticism Toward Firm’s Fundamentals — Financial Management Association (FMA) Annual Meeting, Atlanta (Oct 2022); Texas State University (Apr 2023); Baruch College, CUNY (May 2023); University of Massachusetts Boston (Jun 2023)
  6. AI Love with You: Linguistic Convergence in Human-Chatbot Relationship Development — Academy of Management (AOM) Annual Meeting. Seattle, WA · Aug 2022
  7. Leveraging Disclosure Change Trajectories to Detect Financial Frauds — Workshop on Information Technology and Systems (WITS). Austin, TX · Dec 2021

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

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

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.

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

Non-Academic Experience

United Nations

Data Analyst Intern

New York City, NY · Mar 2018 – Sep 2018

  • Applied natural language processing techniques to process text data
  • Provided artificial intelligence solutions for textual classification on the UN’s website

InsightWorks Ltd.

Marketing Researcher

Shanghai, CN · Jan 2015 – May 2016

  • Advised clients, including L’Oréal & Unilever, on product research and development
  • Conducted research projects, including questionnaire design, fieldwork, and data analysis
  • Analyzed consumer datasets to identify areas of improvement and develop solutions
  • Wrote reports for product improvement, marketing strategy, and new product launches

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

教学方向

已讲授课程： 商业智能与数据集成、实用数据整理、自然语言处理

其他教学兴趣： 应用机器学习、面向商业的生成式人工智能、管理信息系统

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

学术报告与会议

  1. Design Research on Artificial Intelligence: Challenges, Opportunities, and Frontiers — PWD 特邀报告人，Academy of Management（AOM）年会。美国费城 · 2026年8月
  2. The Penalty of AI-assisted Disclosure: Language Convergence, Innovation, and Market Reactions — Academy of Management（AOM）年会。美国费城 · 2026年8月
  3. Professional Skepticism: A Catalyst for Public Discourse in Online Medical Communities — Data Science Salon（宾汉姆顿大学，2026年3月）；Pre-ICIS SIGDSA Symposium（2025年12月）
  4. Interpreting Market Risks with Deep Learning Method — TREO, 2024 International Conference on Information Systems (ICIS)。泰国曼谷 · 2024年12月
  5. More than Words: Quantifying Colloquial Skepticism Toward Firm’s Fundamentals — Financial Management Association（FMA）年会，美国亚特兰大（2022年10月）；Texas State University（2023年4月）；Baruch College, CUNY（2023年5月）；University of Massachusetts Boston（2023年6月）
  6. AI Love with You: Linguistic Convergence in Human-Chatbot Relationship Development — Academy of Management（AOM）年会。美国西雅图 · 2022年8月
  7. Leveraging Disclosure Change Trajectories to Detect Financial Frauds — Workshop on Information Technology and Systems（WITS）。美国奥斯汀 · 2021年12月

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

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

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

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

非学术工作经历

联合国

数据分析实习生

美国纽约 · 2018年3月 – 2018年9月

  • 运用自然语言处理技术处理文本数据
  • 为联合国官网的文本分类任务提供人工智能解决方案

InsightWorks Ltd.

市场研究员

中国上海 · 2015年1月 – 2016年5月

  • 为欧莱雅（L’Oréal）、联合利华（Unilever）等客户的产品研发提供咨询建议
  • 开展研究项目，包括问卷设计、实地调研与数据分析
  • 分析消费者数据，识别改进空间并提出解决方案
  • 撰写产品改进、市场策略与新品上市相关报告