Leonard Li

Leonard Li (Shang'ao Li)

Building reasoning systems that integrate symbolic methods with neural learning

Senior Undergraduate
Computer Science, Nanjing University

Email: leonardlsa@163.com
GitHub: @LeonardNJU

Research Interests

I work on enhancing reasoning capabilities in AI systems through principled integration of symbolic and neural methods. My research explores how formal reasoning, neuro-symbolic architectures, and interactive verification can improve reliability and interpretability in language models and autonomous agents.

Keywords: Neuro-Symbolic AI · LLM Reasoning · Reinforcement Learning · Formal Verification · Interactive Agents

Education

B.Sc. in Computer Science, Nanjing University
Sept. 2022 - June 2026 (Expected) · GPA: 4.60/5.00 (Rank: 3/25)

Research Experience

  • Ludwig Maximilian University of Munich · Nov 2025 - Present
    Research Intern, Advisor: Dr. Yao Zhang
  • KRistal Group, Nanjing University · Oct 2025 - Present
    Research Intern, Advisor: Prof. YiZheng Zhao
  • Independent Research · Jul 2025 - Present
    Research Intern, Advisor: Dr. Zhen Han
  • ScaleML Lab, UIUC · Apr - Jun 2025
    Research Intern, Advisor: Prof. Tong Zhang
  • Huawei 2012 Labs · Jul - Sept 2025
    Research Intern, Supervisor: JianFeng Gui
  • QUEST Lab, NC State University · Jul - Nov 2024
    Research Intern, Advisor: Prof. Yuan Liu

Selected Honors

  • National Scholarship (Top 0.2% nationwide), Ministry of Education of China, 2025
  • First Prize (National Champion), HITCTF 2025 Cybersecurity Competition
  • Outstanding Student Model, Nanjing University, 2023-2024