collaborators

12 papers

cs.AR2026

A Survey of Circuit Foundation Model: Foundation AI Models for VLSI Circuit Design and EDA

Wenji Fang, Jing Wang, Yao Lu +4

Artificial intelligence (AI)-driven electronic design automation (EDA) techniques have been extensively explored for VLSI circuit design applications. Most recently, foundation AI…

cs.AR2026

ComPart: Community-Guided Post-Coarsening for High-Quality Hypergraph Partitioning

Yugao Zhu, Zhicheng Guo, Yuchao Wu +3

Hypergraph partitioning is a critical step in the design of complex embedded systems, essential for optimizing task mapping on heterogeneous MPSoCs and enabling multi-FPGA prototyp…

cs.AR2026

IMPart: Integration of Memetic Operations into Multi-Level Framework for Large-k-Way Hypergraph Partitioning

Yugao Zhu, Zhicheng Guo, Shang Liu +3

The problem of k-way hypergraph partitioning is fundamental with significant applications in various fields, including VLSI design and scientific computing. State-of-the-art hyperg…

cs.AI2026

RTL-BenchLS: A Large-Scale Benchmark for RTL Reasoning and Generation with Large Language Models

Jing Wang, Shang Liu, Wenji Fang +3

LLM-based RTL generation and reasoning is a promising direction for hardware design automation. High-quality benchmarks are critical infrastructure for tracking progress in this di…

cs.AR2026

AssertLLM2: A Comprehensive LLM Benchmark for Assertion Generation from Design Specifications

Yuchao Wu, Wenji Fang, Jing Wang +3

Assertion-based verification (ABV) is a cornerstone of modern hardware design, yet manually translating design intent into formal SystemVerilog Assertions (SVAs) remains labor-inte…

cs.AI2026

RTL-BenchMT: Dynamic Maintenance of RTL Generation Benchmark Through Agent-Assisted Analysis and Revision

Jing Wang, Shang Liu, Hangan Zhou +1

This paper introduces RTL-BenchMT, an agentic framework for dynamically maintaining RTL generation benchmarks. Large Language Models (LLMs) assisted automated RTL generation is one…