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Home/Authors/Ya Wang

Ya Wang

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Architecture×2Robotics×1Crypto×1ML×1

Frequent co-authors

Yunao Huang1×
Shiyu Sang1×
Haotao Lu1×
Suting Ni1×
Shijie Wu1×
Ziyang Guo1×

Research Timeline

2026
HiFuzz: Hierarchical Reinforcement Learning for Semantic-Aware and Adaptive CPU Fuzzing

This paper introduces HiFuzz, a hierarchical reinforcement learning framework for processor verification that replaces mutation with a structured generation process and integrates coverage reward mechanism and semantic-aware basic block encoder.

Embedded Blockchain Infrastructure Management (eBIM): A RISC-V-Empowered Hardware--Software Co-Design Framework Towards Trustworthy Blockchain

This paper proposes eBIM, a software-hardware collaborative paradigm for blockchain infrastructure management using RISC-V, and surveys related research and technologies.

ViTacWorld: Scaling Visuo-Tactile World Models for Contact-Rich Robot Manipulation

The paper presents ViTacWorld, a framework for scalable contact-rich robot manipulation using a visuo-tactile world model.

Highlighted terms show continued research focus across papers

Papers

cs.ROEmpiricalRecentJul 24, 2026

ViTacWorld: Scaling Visuo-Tactile World Models for Contact-Rich Robot Manipulation

Yunao Huang, Shiyu Sang, Haotao Lu, Suting Ni +4 more

The paper presents ViTacWorld, a framework for scalable contact-rich robot manipulation using a visuo-tactile world model.

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cs.CRcs.ARSurveyRecent
Jul 8, 2026

Embedded Blockchain Infrastructure Management (eBIM): A RISC-V-Empowered Hardware--Software Co-Design Framework Towards Trustworthy Blockchain

Qinglin Yang, Yuan Liu, Yaoyao Zhang, Boya Wang +3 more

This paper proposes eBIM, a software-hardware collaborative paradigm for blockchain infrastructure management using RISC-V, and surveys related research and technologies.

View →
cs.ARcs.LGEmpiricalRecentJul 7, 2026

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

Ya Wang, Hanwei Fan, Zhenguo Liu, Xiaofeng Zhou +3 more

This paper introduces HiFuzz, a hierarchical reinforcement learning framework for processor verification that replaces mutation with a structured generation process and integrates coverage reward mech…

View →