Journal Papers
Journal Papers
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.
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, (2026) Corporate Endorsement of Controversial Nationalist Movement: Influences of Divergent Customers and Consequences. Journal of Management (FT50)
Ng, K. C., Zheng, J., & Zheng, R. (2026). Augmenting machine learning with human knowledge for sentiment analysis of corporate disclosures. Decision Support Systems, 114735.
A Strategic Analysis of Algorithm Manipulation
Theory-enhanced LLM reasoning
Multi–Agent Systems for Creative Ideation
Data Augmentation for Financial Fraud Detection
LLM-driven autonomous inquiry system
LLM-based digital twins
Measuring Readability with Language Predictability
"Beyond Leaderboards: A Frozen-Rubric Contract for Position-Invariant Winning-Argument Detection", EMNLP 2026 Main Conference
"When Targeted Grounded Gains Hide Complementary Abstraction Regression: DION-Bench and a Conjunctive Evaluation Protocol", EMNLP 2026 Workshop GroundLM
"Lifecycle Faithfulness for Grounded Retrieval-Augmented Generation: Benchmarks, Evaluation, and the Vera-Life Controller", EMNLP 2026 Workshop GroundLM
"Autonomous Knowledge Discovery: A Kernel Theory Approach to Transforming Organizational Data into Domain Knowledge", SCECR, 2026
"Designing Multi-Agent Systems for Scalable Creative Ideation: A Kernel Theory-Driven Approach", POMS HK, 2026
"InterCorpRel-LLM: Enhancing Financial Relational Understanding with Graph–Language Models", POMS HK, 2026
"Detecting Nationalism Trends in U.S. Corporate Disclosures Using a Hybrid Large Language Model Framework", POMS HK, 2026
"AI-generated Summaries and User Engagement: Evidence from A Natural Experiment on Video Sharing Platforms", CSWIM, 2025
"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