works on

From the 1 of 6 linked papers with an AI index.

collaborators

6 papers

cs.AR2026

DiffPower: GPU-Accelerated Differentiable Switching Power Analysis and Optimization

Isaac Jacobson, Zheng Zhao, Rashmi Mehrotra +3

Accurate and scalable switching power analysis remains a critical bottleneck in modern physical design, often forcing a trade-off between computational speed and modeling fidelity.…

cs.CV2026

SCALE: Self-Supervised Constraint-Aware Layout GEneration for Local P&R DRV Fixing at Advanced Nodes

Chia-Tung Ho, Haoyu Yang, Guanglei Zhou +6

As semiconductor manufacturing advances toward sub-2nm nodes, local place-and-route (P&R) design-rule violation (DRV) fixing is increasingly limited by complex rule interactions, d…

cs.LG2026

EXPLORE: Exploration with Guided Search for Analog Topology Generation using Language Models

Guanglei Zhou, Chen-Chia Chang, Yikang Shen +5

The paper introduces EXPLORE, a framework that combines transformer-based language model decoding with simulator-guided Monte Carlo Tree Search to improve the generation of analog…

cs.LG2025

CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs

Jingyu Pan, Isaac Jacobson, Zheng Zhao +5

Modern very large-scale integration (VLSI) design requires the implementation of integrated circuits using electronic design automation (EDA) tools. Due to the complexity of EDA al…

cs.CV2025

PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting

Guanglei Zhou, Bhargav Korrapati, Gaurav Rajavendra Reddy +5

Generating diverse VLSI layout patterns is essential for various downstream tasks in design for manufacturing, as design rules continually evolve during the development of new tech…

cs.LG2025

A Survey of Research in Large Language Models for Electronic Design Automation

Jingyu Pan, Guanglei Zhou, Chen-Chia Chang +3

Within the rapidly evolving domain of Electronic Design Automation (EDA), Large Language Models (LLMs) have emerged as transformative technologies, offering unprecedented capabilit…