Yuhang Pei
Ph.D. Candidate
Ph.D. candidate at the Software College of Northeastern University, focusing on deep learning (large models, time series data) and multi-agent reinforcement learning research. Dedicated to theoretical research and application development in time series forecasting and distributed multi-agent systems.
Education
Ph.D. Candidate
Software College of Northeastern University
2022 - Present
Supervisor: Prof. Tao Ren
Research Areas: Deep Learning, Multi-Agent Reinforcement Learning, Large Models
Bachelor's Degree
Software College of Northeastern University
2018-2022
Research Areas
Deep Learning
Focused on the design and optimization of deep learning models, particularly their applications in time series forecasting. Exploring innovative applications of large language models and diffusion models in temporal data modeling.
Multi-Agent Reinforcement Learning
Research on policy learning and knowledge distillation in multi-agent systems, dedicated to improving distributed execution efficiency. Focus on collaboration mechanisms between agents and policy optimization methods.
Publications
LEAF: Large Language Diffusion Model for Time Series Forecasting
2025Policy distillation for efficient decentralized execution in multi-agent reinforcement learning
2025Contact
Affiliation
Software College
Northeastern University
Shenyang, China
Supervisor
Prof. Tao Ren
Northeastern University