Honglei Guo

Zhejiang University · BIGAI

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Looking forward to collaborating with you!

I am a first-year Ph.D. student jointly trained by the College of Artificial Intelligence, Zhejiang University and BIGAI (Beijing Institute for General Artificial Intelligence). My academic advisor is Prof. Guochuan Zhang, and my BIGAI mentor is Yuhan Zhao in the Social Intelligence Department. Prior to my doctoral studies, I received my bachelor’s degree from China University of Geosciences, Beijing, advised by Ling Bu.

Research Interests

  • Time Series Forecasting: Spatio-temporal forecasting and photovoltaic power forecasting.
  • Game Theory and Multi-Agent Systems: Multi-agent reinforcement learning for economic and social systems.
  • Embodied AI: Multi-robot systems, including MARL-based and LLM-based approaches.

I welcome opportunities for research collaboration and thoughtful discussion.

news

Aug 07, 2026 Our paper, Learning Long-Term Educational Investment Policies under Residential Sorting, is available on arXiv.
Jul 03, 2026 Our paper, OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction, is available on arXiv.
May 06, 2026 Our paper, Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game, is available on arXiv.
May 01, 2026 Our paper, High Precision Prediction of Time-Varying Photovoltaic Power Based on Dynamic Adjacency Matrix and Temporal Spectral Graph Convolution Network, was published in Energy Conversion and Management: X.
Apr 23, 2026 Our paper, Empowering Multi-Robot Cooperation via Sequential World Models, was accepted to ICLR 2026.
Oct 01, 2025 Our paper, EIC Framework for Hand Exoskeletons Based on a Multimodal Large Language Model, was published at IROS 2025.
Nov 01, 2024 Our paper, Short-Term Photovoltaic Power Forecasting Based on Patch-Transformer Model, was published at China Automation Congress 2024.
Aug 30, 2024 Our paper, Integrating Trajectory Data and Demographic Characteristics: A Trajectory Semantic Model for Predicting Travel Flow and Conducting Interaction Analysis, was published in the International Journal of Digital Earth.