works on

From the 1 of 11 linked papers with an AI index.

collaborators

11 papers

cs.AR2026

Forbench: Symbolic Simulation Helps Make Your Testbench More Formal

Ziyi Yang, Wenbin Che, Ziyue Zheng +2

Simulation remains the dominant approach in pre-silicon verification due to its ease of deployment and intuitive workflow. However, as simulation only explores a limited subset of…

cs.LO2026

A-IC3: Learning-Guided Adaptive Inductive Generalization for Hardware Model Checking

Xiaofeng Zhou, Guangyu Hu, Hongce Zhang +1

The paper introduces a lightweight machine‑learning framework that uses a multi‑armed bandit to dynamically select inductive generalization strategies within the IC3 hardware model…

cs.LO2026

Inverter Redistribution through Self-Dual and Self-Anti-Dual Function Transformation

Jingren Wang, Guangyu Hu, Shiju Lin +1

And-Inverter Graph (AIG)-based logic synthesis has been a cornerstone of digital design automation for several decades. While numerous optimization techniques have been developed f…

cs.AR2026

AutoINV: Automated Invariant Generation Framework for Formal Verification on High-Level Synthesis Designs

Xiaofeng Zhou, Linfeng Du, Guangyu Hu +3

High-level synthesis (HLS) transforms an algorithmic description of hardware from a higher abstraction (e.g., C/C++) into a register-transfer level (RTL) design, offering reduced d…

cs.AR2026

AutoPDR: Circuit-Aware Solver Configuration Prediction for Hardware Model Checking

Guangyu Hu, Chen Chen, Xiaofeng Zhou +3

Property Directed Reachability (PDR) is a powerful algorithm for formal verification of hardware and software systems, but its performance is highly sensitive to parameter configur…

cs.AR2026

LeGend: A Data-Driven Framework for Lemma Generation in Hardware Model Checking

Mingkai Miao, Guangyu Hu, Wei Zhang +1

Property checking of RTL designs is a central task in formal verification. Among available engines, IC3/PDR is a widely used backbone whose performance critically depends on induct…