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Hongji Zhang

4 accepted papers

2026

Beyond Tokens: Enhancing RTL Quality Estimation via Structural Graph Learning

ICML 2026poster

Estimating the quality of register transfer level (RTL) designs is crucial in the electronic design automation (EDA) workflow, as it enables instant feedback on key performance metrics like area and delay without the need for time-consuming logic synthesis. While recent approaches have leveraged lar…

Cited by 0SourceScholar
2026

UniRTL: Unifying Code and Graph for Robust RTL Representation Learning

ICML 2026poster

Developing effective representations for register transfer level (RTL) designs is crucial for accelerating the hardware design workflow. Existing approaches, however, typically rely on a single data modality, either the RTL code or its associated graph-based representation, limiting the expressivene…

Cited by 0SourceScholar
2025

DeepRTL2: A Versatile Model for RTL-Related Tasks

ACL 2025finding

The integration of large language models (LLMs) into electronic design automation (EDA) has significantly advanced the field, offering transformative benefits, particularly in register transfer level (RTL) code generation and understanding. While previous studies have demonstrated the efficacy of fi…

Cited by 0SourcePDFScholar
2024

UrbanDataLayer: A Unified Data Pipeline for Urban Science

NeurIPS 2024poster

The rapid progression of urbanization has generated a diverse array of urban data, facilitating significant advancements in urban science and urban computing. Current studies often work on separate problems case by case using diverse data, e.g., air quality prediction, and built-up areas classificat…