Building multimodal AI systems for financial reasoning, market understanding, and reliable decision support.
Contact Me sden118@aucklanduni.ac.nzI am a Ph.D. student in Statistics at the University of Auckland, supervised by Associate Professor Ciprian Doru Giurcaneanu. My research focuses on the application of AI in the financial domain, with a particular emphasis on multimodal financial reasoning and stock price prediction.
Prior to my doctoral studies, I earned a Bachelor's degree in Finance from Anhui University in China and a Master of Science from the University of Leeds in Financial Mathematics. I am interested in how language, numerical data, and external evidence can be combined to make financial AI systems more robust and interpretable.
ICAIF 2025 Best Paper Award for FinMR: A Knowledge-Intensive Multimodal Benchmark for Advanced Financial Reasoning.
Research Directions
My work sits at the intersection of artificial intelligence, statistics, and finance. I focus on building benchmarks, reasoning methods, and evaluation frameworks for multimodal financial AI.
Multimodal Financial Reasoning
Designing benchmarks and methods for financial reasoning across text, numerical tables, market signals, and other evidence.
Evidence Acquisition
Studying how AI systems can gather evidence step by step, reflect on errors, and improve reasoning reliability.
AI for Finance
Developing and evaluating artificial intelligence methods for financial reasoning, forecasting, decision support, and other complex financial applications.
Financial Forecasting
Applying machine learning and multimodal information to stock price prediction and market understanding.
Education
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2024-now
Ph.D. in Statistics
University of Auckland, New Zealand -
2018-2019
Master in Financial Mathematics
University of Leeds, United Kingdom -
2013-2017
BSc in Finance
Anhui University, China
Visiting
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2025.10-2026.06
Visiting Student in CCDS
Nanyang Technological University, Singapore
News
FinMR received the ICAIF 2025 Best Paper Award
Awarded at the 6th ACM International Conference on AI in Finance in Singapore.
- 2026: CLER: Improving Multimodal Financial Reasoning by Cross-MLLM Error Reflection appears in AAAI as an oral presentation.
- 2026: Multi-Agent SEA accepted to Information Fusion.
- 2025.10: Started a visiting student position in CCDS at Nanyang Technological University.
- 2025: Bridging Cognitive Divide received the BIBM 2025 Best Paper Award.
Selected Publications
Google ScholarFinMR: A Knowledge-Intensive Multimodal Benchmark for Advanced Financial Reasoning
S. Deng, H. Peng, J. Xu, R. Mao, C. D. Giurcaneanu, J. Liu.
Proceedings of ACM ICAIF, 168-176, 2025.
CLER: Improving Multimodal Financial Reasoning by Cross-MLLM Error Reflection
S. Deng, Z. Wang, R. Mao, C. D. Giurcaneanu, J. Liu.
Proceedings of AAAI, 2026.
Multi-source Multi-level Multi-token Ethereum Dataset and Benchmark Platform
H. Li, M. Zhang, M. Li, J. Li, Z. Zhang, J. Yang, S. Deng, J. Liu.
Proceedings of the ACM Web Conference, 8517-8520, 2026.
Multi-Agent SEA: Step-wise Evidence Acquisition for Multimodal Financial Reasoning
S. Deng, Z. Huang, K. Du, R. Mao, J. Liu, C. D. Giurcaneanu, E. Cambria.
Information Fusion, 104550, 2026.
Personalized Diabetes Care: Discovering Diabetes Mindset Disparities From Metaphorical Cognition
W. Zhao, R. Mao, S. Deng, E. Cambria.
IEEE Transactions on Affective Computing, 2026.
Bridging Cognitive Divide: Uncovering Cognitive Disparities among Diabetic Patients via Metaphor
W. Zhao, R. Mao, S. Deng, E. Cambria.
IEEE International Conference on Bioinformatics and Biomedicine, 2025.
Awards
- ICAIF 2025 Best Paper Award for FinMR.
- BIBM 2025 Best Paper Award for Bridging Cognitive Divide.
Photo Gallery
Curriculum Vitae
A downloadable PDF version of my curriculum vitae is available here.