1 citations · 3 across the 12 of their papers we have counts for
12 papers
PCBnet: A Dataset and Automatic Construction of SPICE Netlists from Schematic Images
Zhen Huang, Yuhao Gao, Yuzhi Liu +15
Printed circuit boards (PCBs) are fundamental to modern electronic systems, yet AI-driven PCB design automation remains constrained by the lack of large-scale paired schematic-netl…
Symbol and Footprint Database for Electronic Components by Agentic Recognition and Generation
Yichen Shi, Yuzhi Liu, Zhuofu Tao +4
A rich and recognizable component library is the cornerstone of printed circuit board (PCB) design and generation. Traditionally, engineers manually create symbols and footprints a…
Therm-FM: Foundation Model is ALL YOU NEED for 3D-ICs Thermal Simulation
Zhen Huang, Haiyang Xin, Wenkai Yang +6
Data-driven thermal predictors for 3D-ICs are often trained from scratch for each chip design using many high-fidelity finite-element simulations, leading to high data-generation c…
AMSnet-q: Unsupervised Circuit Identification and Performance Labeling for AMS Circuits
Ze Zhang, Junzhuo Zhou, Yichen Shi +6
Analog and mixed-signal (AMS) circuit design remains heavily reliant on expert knowledge. While recent AI-driven automation tools can generate candidate topologies, they critically…
SetupKit: Efficient Multi-Corner Setup/Hold Time Characterization Using Bias-Enhanced Interpolation and Active Learning
Junzhuo Zhou, Ziwen Wang, Haoxuan Xia +5
Accurate setup/hold time characterization is crucial for modern chip timing closure, but its reliance on potentially millions of SPICE simulations across diverse process-voltagetem…
Self-Attention to Operator Learning-based 3D-IC Thermal Simulation
Zhen Huang, Hong Wang, Wenkai Yang +6
Thermal management in 3D ICs is increasingly challenging due to higher power densities. Traditional PDE-solving-based methods, while accurate, are too slow for iterative design. Ma…
Automated SAR ADC Sizing Using Analytical Equations
Zhongyi Li, Zhuofu Tao, Yanze Zhou +4
Conventional analog and mixed-signal (AMS) circuit designs heavily rely on manual effort, which is time-consuming and labor-intensive. This paper presents a fully automated design…
AMSnet 2.0: A Large AMS Database with AI Segmentation for Net Detection
Yichen Shi, Zhuofu Tao, Yuhao Gao +5
Current multimodal large language models (MLLMs) struggle to understand circuit schematics due to their limited recognition capabilities. This could be attributed to the lack of hi…
AMSbench: A Comprehensive Benchmark for Evaluating MLLM Capabilities in AMS Circuits
Yichen Shi, Ze Zhang, Hongyang Wang +10
Analog/Mixed-Signal (AMS) circuits play a critical role in the integrated circuit (IC) industry. However, automating Analog/Mixed-Signal (AMS) circuit design has remained a longsta…
VFlow: Discovering Optimal Agentic Workflows for Verilog Generation
Yangbo Wei, Zhen Huang, Huang Li +3
Hardware design automation faces challenges in generating high-quality Verilog code efficiently. This paper introduces VFlow, an automated framework that optimizes agentic workflow…
AMSnet-KG: A Netlist Dataset for LLM-based AMS Circuit Auto-Design Using Knowledge Graph RAG
Yichen Shi, Zhuofu Tao, Yuhao Gao +9
High-performance analog and mixed-signal (AMS) circuits are mainly full-custom designed, which is time-consuming and labor-intensive. A significant portion of the effort is experie…
AMSNet: Netlist Dataset for AMS Circuits
Zhuofu Tao, Yichen Shi, Yiru Huo +8
Today's analog/mixed-signal (AMS) integrated circuit (IC) designs demand substantial manual intervention. The advent of multimodal large language models (MLLMs) has unveiled signif…