Update biography for Xiao-Yang Liu

Author: YangletLiu

docs/organizers.markdown

@@ -32,6 +32,6 @@ weight: 5
 
 | Photo                | Biography              |
 |----------------------|-------------------|
-| ![Xiao-Ying Liu](https://github.com/Open-Finance-Lab/SecureFinAI_Contest_2025/blob/main/docs/assets/organizers/supervisors/liu-xy.png?raw=true) | **Xiao-Yang Liu**, Ph.D. candidate, Director of SecureFinAI Lab, Columbia University. His research interests include deep reinforcement learning, big data, and high-performance computing. He created several open-source projects, such as FinRL 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 Competition 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.|
+| ![Xiao-Ying Liu](https://github.com/Open-Finance-Lab/SecureFinAI_Contest_2025/blob/main/docs/assets/organizers/supervisors/liu-xy.png?raw=true) | **Xiao-Yang Liu**, Ph.D. candidate, SecureFinAI Lab, Columbia University. His research interests include deep reinforcement learning, big data, and high-performance computing. He created several open-source projects, such as FinRL 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 Competition 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.|
 | ![Kairong Xiao](https://github.com/Open-Finance-Lab/SecureFinAI_Contest_2025/blob/main/docs/assets/organizers/supervisors/kairong_xiao.jpg?raw=true) | **Kairong Xiao**, Roger F. Murray Associate Professor of Business at Columbia Business School. His research interests span financial intermediation, corporate finance, monetary economics, industrial organization, and political economy. His research papers have been published in top finance and economics journals, including the Journal of Finance, the Review of Financial Studies, the  Journal of Financial Economics, Econometrica, the Journal of Monetary Economics, and Management Science. He received numerous awards for research excellence, including the Review of Financial Studies Rising Scholar Award, the Journal of Finance Dimensional Fund Advisors Prize for Distinguished Paper, and the Review of Financial Studies Best Paper Award runner-up.|
 | ![Jimin Huang](https://github.com/Open-Finance-Lab/SecureFinAI_Contest_2025/blob/main/docs/assets/organizers/supervisors/jimin_huang.jpeg?raw=true) | **Jimin Huang**, the founder of The Fin AI working group, an initiative dedicated to advancing open science, tooling, and model development for the financial services industry with a focus on responsible innovation. The Fin AI is now an associated member of FINOS and a collaborator with the NVIDIA AI Technology Center (NVAITC) through Hugging Face. Jimin is also an associated member of The National Centre for Text Mining (NaCTeM). His research spans natural language processing and computational finance, with a particular emphasis on financial large language models (LLMs) and open-source contributions. He is the organizer of the FinLLM Challenge at FinNLP-AgentScen @ IJCAI-2024 and serves as the general chair for The Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal).|