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Yuxiang Zhao

4 accepted papers

2026

CircuitNet 3.0: A Multi-Modal Dataset with Task-Oriented Augmentation for AI-Driven Circuit Design

ICLR 2026poster

Integrated circuit (IC) designs require transforming high-level specifications into physical layouts, demanding extensive expertise and specialized tools, as well as months of time and numerous iterations. While Machine Learning (ML) has shown promise in various research domains, the lack of large-s…

Cited by 0SourcecodeScholar
2026

CoEvoer: Collaborative Evolution Transformer for Upper-Body Expressive Human Pose and Shape Estimation

AAAI 2026technical

Expressive Human Pose and Shape Estimation (EHPS) plays a crucial role in various AR/VR applications and has witnessed significant progress in recent years. However, current state-of-the-art methods still struggle with accurate parameter estimation for facial and hand regions and exhibit limited gen

Cited by 0SourcePDFScholar
2025

DeepLayout: Learning Neural Representations of Circuit Placement Layout

ICML 2025poster

Recent advancements have integrated various deep-learning methodologies into physical design, aiming for workflows acceleration and surpasses human-devised solutions. However, prior research has primarily concentrated on developing task-specific networks, which necessitate a significant investment o…

Cited by 0SourcePDFScholar
2024

CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment

ICLR 2024poster

Integrated circuits or chips are key to enable computing in modern industry. Designing a chip relies on human experts to produce chip data through professional electronic design automation (EDA) software and complicated procedures. Nowadays, prompted by the wide variety of machine learning (ML) data…

Cited by 15SourcePDFScholar