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Home/Authors/Hang Yu

Hang Yu

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

AI×3Crypto×2Vision×1

Frequent co-authors

Xiaohang Yu3×
William Knottenbelt2×
Ti Wang1×
Mackenzie Weygandt Mathis1×
Tong Ye1×
Tengfei Ma1×

Research Timeline

2026
LOCARD: An Agentic Framework for Blockchain Forensics

The paper introduces LOCARD, an agentic framework that models blockchain forensics as a sequential decision-making process, demonstrating its effectiveness in complex cross-chain transaction tracing.

SUDP: Secret-Use Delegation Protocol for Agentic Systems

The paper proposes the Secret-Use Delegation Protocol (SUDP) to solve the Agent Secret Use (ASU) problem, ensuring that autonomous agents can perform user-authorized operations without gaining reusable, durable authority over the user's secrets.

Domain-Specific Data Synthesis for LLMs via Minimal Sufficient Representation Learning

The paper introduces DOMINO, a novel inductive framework that synthesizes domain-specific data for LLMs using only reference examples, significantly improving performance on challenging, implicitly defined domains.

PRIMA: Boosting Animal Mesh Recovery with Biological Priors and Test-Time Adaptation

PRIMA is a framework that significantly improves 3D quadruped mesh recovery by integrating biological knowledge and a test-time adaptation strategy, achieving state-of-the-art results on diverse and challenging animal poses.

Highlighted terms show continued research focus across papers

Papers

cs.CVRecentJun 1, 2026

PRIMA: Boosting Animal Mesh Recovery with Biological Priors and Test-Time Adaptation

Xiaohang Yu, Ti Wang, Mackenzie Weygandt Mathis

PRIMA is a framework that significantly improves 3D quadruped mesh recovery by integrating biological knowledge and a test-time adaptation strategy, achieving state-of-the-art results on diverse and c…

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cs.AIRecentMay 28, 2026

Domain-Specific Data Synthesis for LLMs via Minimal Sufficient Representation Learning

Tong Ye, Hang Yu, Tengfei Ma, Xuhong Zhang +5 more

The paper introduces DOMINO, a novel inductive framework that synthesizes domain-specific data for LLMs using only reference examples, significantly improving performance on challenging, implicitly de…

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cs.CRcs.AIRecentApr 27, 2026

SUDP: Secret-Use Delegation Protocol for Agentic Systems

Xiaohang Yu, Hejia Geng, Xinmeng Zeng, William Knottenbelt

The paper proposes the Secret-Use Delegation Protocol (SUDP) to solve the Agent Secret Use (ASU) problem, ensuring that autonomous agents can perform user-authorized operations without gaining reusabl…

View →
cs.CRcs.AIRecentApr 5, 2026

LOCARD: An Agentic Framework for Blockchain Forensics

Xiaohang Yu, William Knottenbelt

The paper introduces LOCARD, an agentic framework that models blockchain forensics as a sequential decision-making process, demonstrating its effectiveness in complex cross-chain transaction tracing.

View →