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 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 a NTU Presidential Postdoctoral Fellow and worked in industry for a year. He earned his bachelor's degrees in Information Systems and Economics from Peking University, and a PhD in Computer Science and Engineering from Nanyang Technological University. Dr. Xing's research interest lies in natural language processing and predictive analytics, with a special focus on financial applications. He passionately studies how human knowledge can be represented and engineered to support decision-making, and what consequences would knowledge-driven algorithms and systems cause to our society. He has served as guest editors for journals, e.g., IEEE Transactions on Artificial Intelligence, and area chairs for conferences, e.g., International Conference on Computational Linguistics. His research has also been featured by news media, e.g., 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
IS3107
Data Engineering