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Home/Authors/Wenhao Wang

Wenhao Wang

3 indexed papers

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

Publications per year

3
26

Top categories

AI×1NLP×1Crypto×1

Frequent co-authors

Peizhi Niu1×
Gongyi Zou1×
Xiyuan Yang1×
Jingxing Wang1×
Haoting Shi1×
Yaxin Du1×

Research Timeline

2026
Rethinking the Security of DP-SGD: A Corrected Analysis of Differentially Private Machine Learning

This paper corrects the theoretical analysis of DP-SGD by identifying that common implementations, which use batch averaging, result in weaker privacy guarantees than previously reported.

I-WebGenBench : Evaluating Interactivity in LLM-Generated Scientific Web Applications

The paper introduces I-WebGenBench, a framework and benchmark that converts static scientific papers into executable, interactive web systems, allowing users to dynamically explore the paper's mechanisms.

MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation

The paper introduces MCP-Persona, a novel benchmark designed to evaluate LLM agents' performance on real-world, personalized applications using the Model Context Protocol (MCP), revealing that current state-of-the-art agents struggle with such personalized tool use.

Highlighted terms show continued research focus across papers

Papers

cs.AIRecentJun 1, 2026

MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation

Wenhao Wang, Peizhi Niu, Gongyi Zou, Xiyuan Yang +8 more

The paper introduces MCP-Persona, a novel benchmark designed to evaluate LLM agents' performance on real-world, personalized applications using the Model Context Protocol (MCP), revealing that current…

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cs.CLRecentMay 30, 2026

I-WebGenBench : Evaluating Interactivity in LLM-Generated Scientific Web Applications

Dasen Dai, Biao Wu, Meng Fang, Shuoqi Li +1 more

The paper introduces I-WebGenBench, a framework and benchmark that converts static scientific papers into executable, interactive web systems, allowing users to dynamically explore the paper's mechani…

View →
cs.CRRecentMay 15, 2026

Rethinking the Security of DP-SGD: A Corrected Analysis of Differentially Private Machine Learning

Wenhao Wang, Shujie Cui, Hui Cui, Xingliang Yuan

This paper corrects the theoretical analysis of DP-SGD by identifying that common implementations, which use batch averaging, result in weaker privacy guarantees than previously reported.

View →