Hello, I’m Ziheng.
Computer Science · AI for EDA · HPC
Building intelligent systems for circuit design and scientific computing.
I am a Computer Science undergraduate at Southern University of Science and Technology (SUSTech). My work explores reinforcement learning for automated circuit design, context-aware LLM agents for EDA, and architecture-aware high-performance computing.
AAAI · DATEPublished research
2023–PresentComputer Science
AI + SystemsResearch focus
Research interests
AI for EDA
Learning-based optimization and automation for analog circuit sizing and electronic design workflows.
Reinforcement Learning
Sample-efficient policies, multi-agent coordination, and robust action-space design for engineering tasks.
High-Performance Computing
Architecture-aware optimization across ARM, CUDA, parallel programming, and scientific workloads.
Selected publications
FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing
Proceedings of the AAAI Conference on Artificial Intelligence, 40(27), 22310–22317.
ACEMARL: Adaptive Clustering Enhanced Multi-Agent Reinforcement Learning for Analog Circuit Sizing
Design, Automation & Test in Europe Conference, 1–7.