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From the 1 of 7 linked papers with an AI index.

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7 papers

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.AR2026

HiFuzz: Hierarchical Reinforcement Learning for Semantic-Aware and Adaptive CPU Fuzzing

Ya Wang, Hanwei Fan, Zhenguo Liu +4

Modern processor verification struggles to reach deep architectural states due to the inefficiencies of traditional mutation-based fuzzing. We propose HiFuzz, a novel hierarchical…

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

FPPS: An FPGA-Based Point Cloud Processing System

Xiaofeng Zhou, Linfeng Du, Hanwei Fan +1

Point cloud processing is a computational bottleneck in autonomous driving systems, especially for real-time applications, while energy efficiency remains a critical system constra…

cs.AR2026

EvolveGen: Algorithmic Level Hardware Model Checking Benchmark Generation through Reinforcement Learning

Guangyu Hu, Xiaofeng Zhou, Wei Zhang +1

Progress in hardware model checking depends critically on high-quality benchmarks. However, the community faces a significant benchmark gap: existing suites are limited in number,…