Yunpu Ma
Scholar

Yunpu Ma

Google Scholar ID: fj5DzgcAAAAJ
Ludwig Maximilian University of Munich
Foundation ModelsAgentic AITemporal Knowledge GraphQuantum AI
Citations & Impact
All-time
Citations
2,501
 
H-index
24
 
i10-index
45
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Published papers such as 'CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process' and co-corresponding author of 'Webpilot: A versatile and autonomous multi-agent system for web task execution with strategic exploration'.
Research Experience
  • Currently a lecturer at CIS LMU, teaching the course 'From Large Language Models to AI Agents'; serves as a group leader at the TRESP Lab, supervising Ph.D. students and leading research on LLMs, multimodal models, and agentic AI; collaborates closely with academic and industrial partners, including Prof. Hinrich Schütze, Prof. Volker Tresp, etc.; supervises several industry-funded Ph.D. students from Siemens, Huawei, and Bosch, etc.
Education
  • Ph.D. in Computer Science from LMU Munich under the supervision of Prof. Volker Tresp, focusing on relational learning, cognitive modeling, and quantum AI; previously conducted research in theoretical physics at the Max Planck Institute for Physics.
Background
  • Research interests include developing intelligent systems that integrate memory, reasoning, and multimodal understanding to act autonomously in open-ended environments. The goal is to develop foundation models and agentic systems that continually learn, collaborate, and adapt to complex, real-world tasks.
Miscellany
  • Invited to give a talk on Multiagentic Systems at the Huawei Munich Wireless Summit 2025; started teaching the course 'From Large Language Models to AI Agents' at CIS LMU Munich in the Summer Semester 2025; honored to serve as Guest Editor for the upcoming Special Issue on 'Multi-Modal AI Systems and Multi-Agent Systems' in the journal 'Electronics' (Impact Factor: 2.6).