collaborators

13 papers

cs.AR2026

FABO: Agent-Guided Discovery of Joint Breakpoint Optimization for Timing-Driven Routing Trees

Shang Liu, Wenji Fang, Jing Wang +3

The topology of a routing tree determines how a multi-pin net branches and shares physical wire, directly affecting wirelength, congestion, capacitance, and delay. We study a centr…

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…

cs.CV2026

AnalogRetriever: Learning Cross-Modal Representations for Analog Circuit Retrieval

Yihan Wang, Lei Li, Yao Lai +2

Analog circuit design relies heavily on reusing existing intellectual property (IP), yet searching across heterogeneous representations such as SPICE netlists, schematics, and func…

cs.LG2025

SynCircuit: Automated Generation of New Synthetic RTL Circuits Can Enable Big Data in Circuits

Shang Liu, Jing Wang, Wenji Fang +1

In recent years, AI-assisted IC design methods have demonstrated great potential, but the availability of circuit design data is extremely limited, especially in the public domain.…

cs.AR2025

ATLAS: A Self-Supervised and Cross-Stage Netlist Power Model for Fine-Grained Time-Based Layout Power Analysis

Wenkai Li, Yao Lu, Wenji Fang +3

Accurate power prediction in VLSI design is crucial for effective power optimization, especially as designs get transformed from gate-level netlist to layout stages. However, tradi…

cs.SE2025

HLSDebugger: Identification and Correction of Logic Bugs in HLS Code with LLM Solutions

Jing Wang, Shang Liu, Yao Lu +1

High-level synthesis (HLS) accelerates hardware design by enabling the automatic translation of high-level descriptions into efficient hardware implementations. However, debugging…

cs.CV2025

EarthCrafter: Scalable 3D Earth Generation via Dual-Sparse Latent Diffusion

Shang Liu, Chenjie Cao, Chaohui Yu +3

Despite the remarkable developments achieved by recent 3D generation works, scaling these methods to geographic extents, such as modeling thousands of square kilometers of Earth's…

cs.AR2025

CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design

Wenji Fang, Shang Liu, Jing Wang +1

The rapid advancements of AI rely on the support of ICs. However, the growing complexity of digital ICs makes the traditional IC design process costly and time-consuming. In recent…

cs.AR2025

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…