1 citations · 1 across the 5 of their papers we have counts for
5 papers
AnalogSAGE: Self-evolving Analog Design Multi-Agents with Stratified Memory and Grounded Experience
Zining Wang, Jian Gao, Weimin Fu +2
Analog circuit design remains a knowledge- and experience-intensive process that relies heavily on human intuition for topology generation and device parameter tuning. Existing LLM…
ZeroSim: Zero-Shot Analog Circuit Evaluation with Unified Transformer Embeddings
Xiaomeng Yang, Jian Gao, Yanzhi Wang +1
Although recent advancements in learning-based analog circuit design automation have tackled tasks such as topology generation, device sizing, and layout synthesis, efficient perfo…
CircuitSense: A Hierarchical MLLM Benchmark Bridging Visual Comprehension and Symbolic Reasoning in Engineering Design Process
Arman Akbari, Jian Gao, Yifei Zou +6
Engineering design operates through hierarchical abstraction from system specifications to component implementations, requiring visual understanding coupled with mathematical reaso…
AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies
Jian Gao, Weidong Cao, Junyi Yang +1
The massive and large-scale design of foundational semiconductor integrated circuits (ICs) is crucial to sustaining the advancement of many emerging and future technologies, such a…
RoSE-Opt: Robust and Efficient Analog Circuit Parameter Optimization with Knowledge-infused Reinforcement Learning
Weidong Cao, Jian Gao, Tianrui Ma +3
This paper proposes a learning framework, RoSE-Opt, to achieve robust and efficient analog circuit parameter optimization. RoSE-Opt has two important features. First, it incorporat…