I am currently pursuing my Master’s degree in Intelligent Information Systems (NLP Research Master) at the Language Technologies Institute, School of Computer Science, Carnegie Mellon University, supervised by Prof. Lei Li. I also served as the Co-CTO of LLMQuant. I am currently seeking Summer 2026 internship opportunities in Research Scientist / MLE / Quant Research / Data Scientist / SDE. Feel free to reach out to me regarding potential opportunities or collaborations.

Prior to this, I completed my undergraduate studies in Computer Science and Technology at Tongji University, where I worked closely with Academician Changjun Jiang, Prof. Dawei Cheng and Prof. Qinyuan Liu at the Fintech Lab. In addition, I worked with Dean Ke Tang during a research internship at Tsinghua University. I also spent over a year as a research intern in the Machine Learning Group at Microsoft Research, advised by Dr. Jiang Bian.

My research interests focus on:

• AI Scientist
• Large Language Models
• Multi-Agent System
• Data Mining
• AI for Finance

📧 Contact

email: yuantel[at]cs[dot]cmu[dot]edu

💼 Experiences

Aug, 2025 - present

Research Assistant @ LI Lab, Carnegie Mellon University

Supervisor: Prof. Lei Li

Jun, 2025 - Sept, 2025

Research Assistant @ ULab, University of Illinois Urbana-Champaign

Supervisor: Prof. Jiaxuan You

Aug, 2024 - Now

Co-Chief Technology Officer @ LLMQuant

Research, Develop, and Manage in AI + Quant/Finance projects.

Jun, 2024 - Aug, 2025

Research Intern @ Microsoft Research

Supervisor: Dr. Jiang Bian

Jun, 2024 - Dec, 2024

Research Assistant @ Tsinghua University

Supervisor: Dean Ke Tang

Mar, 2024 - Jun, 2024

Quantitative Research Intern @ Taiping Asset Management Co. Ltd.

Jan, 2024 - Feb, 2024

Information Technology Department Intern @ Bank of China

Aug, 2023 - Sep, 2023

Quantitative Research Intern @ CITIC Securities

July, 2023 - June, 2025

Research Assistant @ Fintech Lab, Tongji University

Supervisor: Prof. Changjun Jiang, Prof. Dawei Cheng, Prof. Qinyuan Liu

May, 2022 - Oct, 2023

Research Assistant @ CIMS Research Center, Tongji University

Supervisor: Prof. Fei Qiao

📝 Publications

Notes:（*）indicates the equal contributions.

NeurIPS 2025

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization

Yuante Li, Xu Yang, Xiao Yang, Minrui Xu, Xisen Wang, Weiqing Liu, and Jiang Bian

📄 Paper 💻 Code &

PrePrint

R&D-Agent: Automating Data-Driven AI Solution Building Through LLM-Powered Automated Research, Development, and Evolution

Xu Yang, Xiao Yang, Shikai Fang, Bowen Xian, Yuante Li (1^st intern author), Jian Wang, Minrui Xu, Haoran Pan, Xinpeng Hong, Weiqing Liu, Yelong Shen, Weizhu Chen, and Jiang Bian

📄 Paper 💻 Code

NeurIPS 2025 GenAI Workshop

QuantMind: A Context-Engineering Based Knowledge Framework for Quantitative Finance

Haoxue Wang*, Keli Wen*, Yuante Li*, Qiancheng Qu*, Xiangxu Mu*, Xinjie Shen, Jiaqi Gao, Chenyang Chang, Chuhan Xie, San Yu Cheung, Zhuoyuan Hu, Xinyu Wang, Sirui Bi, and Bi’an Du

📄 Paper 💻 Code

ICAIF 2025 Workshop (Best Paper)

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting

Yifan Hu*, Yuante Li*, Peiyuan Liu*, Yuxia Zhu, Naiqi Li, Tao Dai, Shu-tao Xia, Dawei Cheng, and Changjun Jiang

📄 Paper 💻 Code Awesome-Papers

CIKM 2024

LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU

Peng Zhu*, Yuante Li*, Yifan Hu, Qinyuan Liu, Dawei Cheng, and Yuqi Liang

📄 Paper 💻 Code

ICFOD (Excellent paper)

Futures Market Modeling and Forecasting: SOTA Deep Time Series Neural Networks

Yuante Li, Yuhan Cheng, and Tang Ke

📄 Paper

TKDE

Financial Time Series Prediction with Multi-granularity Graph Augmented Learning

Peng Zhu, Yuante Li (1^st student author), Qinyuan Liu, Dawei Cheng, and Changjun Jiang

📄 Paper 💻 Code

Neurocomputing

MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU

Peng Zhu, Yuante Li (1^st student author), Yifan Hu, Sheng Xiang, Qinyuan Liu, Dawei Cheng, and Yuqi Liang

📄 Paper 💻 Code

SIGKDD 2025 (Under Review)

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction

Yifan Hu*, Peiyuan Liu*, Yuante Li, Dawei Cheng, Naiqi Li, Tao Dai, Jigang Bao, and Shu-Tao Xia

📄 Paper 💻 Code

🛠️ Projects

📖 Educations

• 2025.08 - 2027.05 (expected), Master of Science in Intelligent Information Systems, School of Computer Science, Carnegie Mellon University
• 2021.09 - 2025.06, Bachelor in Computer Science and Technology, Tongji University

🏆 Awards

• 2025.10:  My paper was awarded the Best Paper Award at ICAIF 2025 Workshop.
• 2025.08:  Certificate of MSR Asia Stars of Tomorrow Internship Program (Highest honor for interns, awarded to the Top 1%).
• 2025.06:  Top Honors for the Graduation Thesis (Top 0.2%) at Tongji University.
• 2024.12:  My paper was awarded the Excellent Paper Award at ICFOD 2024.
• 2024.11:  Certificate of Outstanding Poster Presentation at the Microsoft Research Asia Intern Tech Fest.
• 2024.09:  Certificate of Valuable Presentation at Microsoft Research Asia Intern Tech Talk Series.
• 2024:  Tongji University Industrial Bank Scholarship (awarded to only two students).
• 2023:  Tongji University First-Class Scholarship (Top 5%).
• 2023:  Tongji University Social Activity Scholarship.
• 2022:  Tongji University Second-Class Scholarship (Top 10%).