Research

My research interests include multimodal computing, natural language processing, large language model interpretation, and applications in management science. I am also open to exploring research questions regarding predictive analytics and decision-making with unstructured data.

[Google Scholar]

Journal Publications

• Unlocking the Power of Voice for Financial Risk Prediction: A Theory-Driven Deep Learning Design Approach (2023)

  with Yi Yang, Yangyang Fan, and Zhongju Zhang

  MIS Quarterly 47 (1).

Conference Publications

• Financial Risk Prediction with Multi-Round Q&A Attention Network (2020) [Paper]

  Zhen Ye, Yu Qin, Wei Xu

  Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI’20)

• What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues (2019) [Paper] [Data]

  Yu Qin, Yi Yang

  Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL’19)

Working Papers

• Cross-Document Modeling for Financial Risk Predictions: A Concept-Guided Deep Learning Method

  with Paul J. Hu and Olivia R. Liu Sheng

  Under 1st-round review at Information Systems Research

• A Multi-Task Evaluation of LLMs’ Processing of Academic Text Input

  with Tianyi Li and Olivia R. Liu Sheng

  Under 1st-round review at Management Science

• Learning from User Experience: A Deep Matching Embedding Approach on Gaming Platform

  with Kan Xu and Olivia R. Liu Sheng

  Manuscript in preparation

• Uncovering the Mechanisms of Large Language Models in Behavior Modeling

  with Olivia R. Liu Sheng

  Manuscript in preparation

Presentations and Invited Talks

• 2025: INFORMS Annual Meeting 2025 (scheduled), INFORMS Workshop on Data Science (scheduled)
• 2024: INFORMS Annual Meeting 2024, WITS, GSU (J. Mack Robinson)
• 2022: INFORMS Annual Meeting 2022, UMass Lowell (Manning)
• 2019: ACL 2019