Call for Papers
Scope
The Special Track “Financial Reinforcement Learning and Foundation Models (FinRLFM)” invites researchers, academics, and industry professionals to submit original short papers on Reinforcement Learning (RL) technologies and foundation models. This Special Track aims to showcase cutting-edge research, foster collaboration, and address challenges in financial areas.
The Special Track will explore the future of RL-driven financial applications and contribute to innovative solutions for a connected world with special interest in but not limited to:
- Foundation Models: financial LLMs, multimodal financial foundation models (MFFMs), and AI for finance.
- FinRL: RL-enabled trading, decision making for finance.
- Reasoning at Inference Time: online RL applications for finance.
- Security & Privacy: RL-based anomaly detection, privacy-preserving, safe FinRL for finance.
- Emerging Trends: AI ethics, quantum-inspired RL, zero-knowledge proofs, blockchain integration, future RL research for finance.
Submissions
We welcome submissions from FinRL Contest 2025 (https://open-finance-lab.github.io/FinRL_Contest_2025/), and also general submissions, using the IEEE template. Submit to: (https://easychair.org/conferences/?conf=ieeeids2025)
For this special track, the poster is 3 full pages with a special rate.
Submission Guidelines:
https://www.cloud-conf.net/datasec/2025/ids/submission.html
Important Dates
- Paper submission: April 1, 2025
- Notification: April 8, 2025
- Registration: April 15, 2025
- Camera Ready: April 15, 2025
Organization Committee
General Chair
- Xiao-Yang Liu, Columbia University
- Kairong Xiao, Columbia University
- Jimin Huang, FinAI
Program Chair
- Keyi Wang, Columbia University
- Colin Lin, Carnegie Mellon University
- Sarah Huang, Columbia University
Technical Program Committee
- Charlie Shen, Columbia University
- Yupeng Cao, Stevens Institute of Technology
- Arnav Grover, Purdue University
- Shivan Mukherjee, Columbia University
- Jaisal Patel, Rensselaer Polytechnic Institute
- Jin Bo, Rensselaer Polytechnic Institute
