I am Shijie Cao, a Ph.D. student at Beihang University, and I am jointly trained at Shenzhen Loop Area Institute</b>. I received my B.Eng. degree in Computer Science and Technology from China University of Geosciences (Wuhan) in 2024.

My research focuses on LLM-guided dynamic scheduling and real-time intelligent decision-making. I am interested in how the long-horizon reasoning capability of large language models can be converted into verifiable, low-latency, and deployable symbolic scheduling policies.

Beyond academic research, I have also participated in industrial projects on AI-assisted software development, natural-gas pipeline scheduling optimization, and energy-efficient engineering software. These experiences motivate my long-term interest in building reliable AI systems for complex industrial decision-making.

Research Interests

• Large Language Models and LLM Agents
• Real-time Reasoning and Intelligent Decision-making
• Evolutionary Computation and Neural Combinatorial Optimization
• Dynamic Flexible Job-shop Scheduling and Industrial Scheduling
• AI-assisted Software Development and Industrial AI

Awarded Honors

• Outstanding undergraduate thesis, China University of Geosciences (Wuhan), 2024
• Outstanding graduate, China University of Geosciences (Wuhan), 2024
• 8th China International College Students' Innovation Competition, National Bronze Medal, 2023
• 46th ICPC Asia Kunming Regional Contest, Bronze Medal, 2022
• 5th CCPC Hubei Provincial Contest, Silver Medal