General Chair

Photo Biography
Ming Zhu Ming Zhu, is from University of Chinese Academy of Sciences, Beijing, China. His research interests include deep reinforcement learning, machine learning, and non-convex optimization. He created several open-source projects, such as RLSolver, ElegantRL, FinRL, FinRL-Meta, and FinGPT. He is a Co-Founder of AI4Finance foundation and SecureFinAI foundation. He is also an organizer of the RLSolver contest. His research papers have been published in top AI journals and conferences, including NeurIPS, IJCAI, TNNLS, TITS, Springer Nature, etc.
Keyi Wang Keyi Wang, master at Northwestern University, bachelor at Columbia University. Organizer of FinRL Contest 2023 and FinRL Contest 2024 at ACM ICAIF conferences, and Regulations Challenge at COLING 2025. Interested in machine learning and financial engineering. Research assistant at GenAI Research on Open Finance at Columbia University.
Xiao-Yang Liu Xiao-Yang Liu, Ph.D., Columbia University, faculty at Rensselaer Polytechnic Institute. His research interests include deep reinforcement learning, big data, and high-performance computing. He created several open-source projects, such as FinRL, ElegantRL, and FinGPT. He contributed chapters to a textbook on reinforcement learning for cyber-physical systems and a textbook on tensors for data processing. He serves as a PC member for NeurIPS, ICML, ICLR, AAAI, IJCAI, AISTATS, and ICAIF. He also served as a Session Chair for IJCAI 2019. He organized Financial Challenges in Large Language Models (FinLLM)@IJCAI 2024, FinRL Contest at ACM ICAIF 2023, the First/Second Workshop on Quantum Tensor Networks in Machine Learning (QTNML) at NeurIPS 2020/2021, IJCAI 2020 Workshop on Tensor Networks Representations in Machine Learning, and the NeurIPS 2019 Workshop on Machine Learning for Autonomous Driving.

Program Chair

Photo Biography
Zhiyuan Wang Zhiyuan Wang, undergraduate at Rensselaer Polytechnic Institute. Passionate about machine learning and Transformer-based methods for solvers. Research Assistant at Tensor and Deep Learning Lab associated with Columbia University.
Holden Mac Entee Holden Mac Entee, bachelor’s student at Rensselaer Polytechnic Institute. His interests include machine learning and software engineering, specifically in the financial discipline. He is a research assistant at Tensor and Deep Learning Lab, associated with Columbia University.
Levy Lin Levy Lin, bachelor’s student at Rensselaer Polytechnic Institute. His interests include machine learning and combinatorial optimization. Research assistant at Colombia’s Tensor and Deep Learning Lab.

Technical Program Committee

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Chunlin Feng Chunlin Feng, bachelor at Rensselaer Polytechnic Institute, with a research interest in reinforcement learning and its applications in finance, focusing on constructing RL environments.
Luke Zhao Luke Zhao, current Ph.D. candidate in the Computer Science Department at Rensselaer Polytechnic Institute. His research interests include Reinforcement Learning, Machine Unlearning, and their application in the finance domain. Co-organizer of the open FinLLM leaderboard and the Regulations Challenge at COLING 2025.
Yupeng Cao Yupeng Cao, current Ph.D. candidate in the Electrical and Computer Engineering Department at Stevens Institute of Technology. His research interests include Natural Language Processing (NLP), Multimodal, Trustworthy AI, and their application in the financial domain. He has several publications about multimodal, LLMs, and multi-agent in financial domains, including FinNLP workshop, ICAIF, ACL, and NeurIPS. He served as a PC member for the 9th FinNLP workshop and Session Chair @ACM ICAIF’24. He organized the Agent-Based Single Cryptocurrency Trading Challenge @COLING 2025. He also hosted the “TechFin” social event at NeurIPS 2024, with 100+ participants.
Linrui Zhao Linrui Zhao, bachelor’s student at Sichuan University and the University of Florida, with a research interests in intersection of operations research and reinforcement learning.