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Mingjun Wang

3 accepted papers

2026

AnalogVerifier: A Neuro-Symbolic Framework for Analog Circuit Verification

ICML 2026poster

Analog circuits constitute the indispensable interface between physical reality and digital computation, underpinning safety-critical systems from autonomous driving to medical implants. Consequently, verification correctness is paramount; yet, it remains the critical bottleneck in hardware design, …

Cited by 0SourceScholar
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
2025

Bridging Layout and RTL: Knowledge Distillation based Timing Prediction

ICML 2025spotlight

Accurate and efficient timing prediction at the register-transfer level (RTL) remains a fundamental challenge in electronic design automation (EDA), particularly in striking a balance between accuracy and computational efficiency. While static timing analysis (STA) provides high-fidelity results thr…