Jiexin Zheng, Ka Chung Ng, Rong Zheng, and Kar Yan Tam, "The Effects of Sentiment Evolution in Financial Texts: A Word Embedding Approach," Journal of Management Information Systems, 2024. (FT50)
Lori Yue, Jiexin Zheng, and Kaixian Mao, "Firms' Rhetorical Nationalism: Theory, Measurement, and Evidence from a Computational Analysis of Chinese Public Firms," Management and Organization Review, 2024. (ABS: 3)
Media Coverage: Management Insights (管理视野)
Website for resources related to the paper: [link]
Lori Yue, Jiexin Zheng, Kaixian Mao and Tiantian Yang, (Forthcoming) Corporate Endorsement of Controversial Nationalist Movement: Influences of Divergent Customers and Consequences. Journal of Management (FT50)
A Machine with a Man: Augmenting AI with Human Knowledge for Sentiment Extraction from Firm Disclosure (with Ka Chung Ng, Amy Zang, and Rong Zheng)
Large Language Model in Ideation for Product Innovation: An Exploratory Comparative Study (with Jiali Zhou, Ka Chau Wong, and Tat Koon Koh)
Measuring Readability with Language Predictability: A Large Language Model Approach (with Rong Zheng and Amy Zang)
Supported by RGC - General Research Fund
A Strategic Analysis of Algorithm Manipulation (with Jiali Zhou and Xingyu Fu)
"Measuring Readability with Language Predictability: A Large Language Model Approach", ABFER-JFDS Conference on AI and FinTech, 2024
“Sentiment Analysis and Evolutional Effect of Words”, Doctoral Consortium, Pacific Asia Conference on Information Systems (PACIS), 2023
"The Wisdom of Humans and Machines: A Hybrid Human-AI Approach to Capturing Disclosure Sentiment", PolyU Joint University Summer Workshop on Information Systems (JUSWIS), 2023
“Analyzing Word Sentiment Evolution in Financial Text: A Word Embedding Approach”, HKUST Business School PHD Student Conference, 2023
“Corporate Social-Political Activism in Non-Western Context”, Academy of Management Proceedings, 2023
“Patriotic Cotton: Endorsement of a Government-Sponsored Nationalist Movement as a Relational Corporate Political Activity”, IACMR Conference, 2023
“A Strategic Analysis of Algorithm Manipulation”, International Conference on Information Systems (ICIS), 2022
“A Hybrid Human-AI Approach to Capturing Disclosure Sentiment”, Workshop on Information Technologies and Systems (WITS), 2022
“Spatiotemporal Aggregation Network for Video Face Recognition”, Statistical Challenges in Electronic Commerce Research (SCECR), 2019
“Improving Face Recognition with Spatiotemporal Information in Video Data”, Winter Conference on Business Analytics (WCBA), 2019