Frank XING
Visiting Assistant Professor- Ph.D. (Computing & Data Science, Nanyang Technological University)
- B.Sc. (Information Systems and Economics, Peking University)
Frank Xing is an information scientist and Assistant Professor in the Department of Information Systems and Analytics at the School of Computing, National University of Singapore (NUS). Prior to joining NUS, he was Presidential Postdoctoral Fellow and worked in industry leading several AI innovation projects. He earned his Bachelor's degrees in Information Systems and Economics from Peking University, and his PhD in Computing & Data Science from Nanyang Technological University. Dr. Xing passionately studies how AI can be applied in finance to make it smarter and fairer. His influential book Intelligent Asset Management (Springer, 2019) has advanced the systematic use of unconventional information in quantitative investing. Dr. Xing contributed as a guest editor for prestigious academic journals, including IEEE Transactions on Artificial Intelligence and IEEE Transactions on Affective Computing, and serves in the Youth Editorial Board of Financial Innovation. His research has garnered widespread attention, with features in major news outlets such as Dow Jones. To know more about current and past projects, please visit: https://frank-xing.info
RESEARCH AREAS
RESEARCH INTERESTS
Financial Forecasting and Optimization
Information Systems Design
Knowledge Engineering and Management
AI and Digital Business
RESEARCH PROJECTS
RESEARCH GROUPS
TEACHING INNOVATIONS
SELECTED PUBLICATIONS
- Xing, F. (2025). "Designing heterogeneous LLM agents for financial sentiment analysis". ACM Transactions on Management Information Systems. forthcoming.
- Xing, F. (2024). "Financial risk tolerance profiling from text". Information Processing & Management. 61(4), 103704.
- Du, K.; Xing, F.; Mao, R.; and Cambria, E. (2024). "Explainable stock price movement prediction using contrastive learning". ACM International Conference on Information and Knowledge Management Proceedings.
- Du, K.; Xing, F.; Mao, R.; and Cambria, E. (2024). "Financial sentiment analysis: Techniques and applications". ACM Computing Surveys. 56(9), art 220, pp 1-42.
- Cesarini, M.; Malandri, L.; Pallucchini, F.; Seveso, A.; and Xing, F. (2024). "Explainable AI for text classification: Lessons from a comprehensive evaluation of post hoc methods". Cognitive Computation. 16(6), pp 3077-3095.
- Chen, S. and Xing, F. (2023). "Understanding emojis for financial sentiment analysis". International Conference on Information Systems Proceedings.
- Du, K.; Xing, F.; and Cambria, E. (2023). "Incorporating multiple knowledge sources for targeted aspect-based financial sentiment analysis". ACM Transactions on Management Information Systems. 14(3), art 23, pp 1-24.
- Saha, J.; Patel, S.; Xing, F.; and Cambria, E. (2022). "Does social media sentiment predict Bitcoin trading volume?" International Conference on Information Systems Proceedings.
- Xing, F.; Cambria, E.; and Welsch, R. (2019). "Growing semantic vines for robust asset allocation". Knowledge- Based Systems. 165, pp 297-305.
- Xing, F.; Cambria, E.; and Welsch, R. (2018). "Intelligent asset allocation via market sentiment views". IEEE Computational Intelligence Magazine. 13(4), pp 25-34.
AWARDS & HONOURS
Presidential Postdoctoral Fellowship, October 2019
Honorable Mention for Best Paper Award (Information Processing & Management), May 2019
Outstanding Contribution in Reviewing (Knowledge-Based Systems), January 2018
MODULES TAUGHT
BT4103
Business Analytics Capstone Project
IS3107
Data Engineering