collaborators

8 papers

cs.AR2026

Enhancing Word-Level Property Directed Reachability with LLM-Driven Semantic Guidance

Guangyu Hu, Mingkai Miao, Zhiyuan Yan +3

Property Directed Reachability (PDR) is a prominent algorithm for hardware formal verification. However, bit-level PDR often struggles with datapath-heavy designs because bit-blast…

cs.AR2026

NeuroAbs: A Neuro-Symbolic RTL Abstraction Framework for Property Checking Acceleration

Zhiyuan Yan, Xiaofeng Zhou, Ziyue Zheng +5

Formal verification is a crucial technique for ensuring the functional correctness of hardware designs. In the context of property checking, a key challenge is how to efficiently p…

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.LO2026

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

Xiaofeng Zhou, Guangyu Hu, Hongce Zhang +1

The IC3 algorithm represents the state-of-the-art (SOTA) hardware model checking technique, owing to its robust performance and scalability. A significant body of research has focu…

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…

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,…

cs.LO2025

FORWORD: Accelerating Formal Datapath Verification via Word-Level Sweeping

Ziyi Yang, Guangyu Hu, Xiaofeng Zhou +4

Modern circuit design process increasingly adopts high-level hardware construction languages and parameterized design methodologies to shorten development cycles and maintain high…