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Home/Authors/Jinhao Zhu

Jinhao Zhu

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2AI×2NLP×1Software Eng.×1

Frequent co-authors

Raluca Ada Popa2×
Julien Piet1×
Annabella Chow1×
Yiwei Hou1×
Muxi Lyu1×
Sylvie Venuto1×

Research Timeline

2026
Opal: Private Memory for Personal AI

Opal is a private memory system for personal AI that maintains high retrieval accuracy and throughput while ensuring data privacy by confining all data-dependent reasoning to a trusted hardware enclave.

Web Agents Should Adopt the Plan-Then-Execute Paradigm

The paper argues that web agents should abandon the reactive ReAct paradigm in favor of a plan-then-execute approach, which requires developing typed, task-level APIs to properly structure web interactions.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIcs.CLRecentMay 14, 2026

Web Agents Should Adopt the Plan-Then-Execute Paradigm

Julien Piet, Annabella Chow, Yiwei Hou, Muxi Lyu +4 more

The paper argues that web agents should abandon the reactive ReAct paradigm in favor of a plan-then-execute approach, which requires developing typed, task-level APIs to properly structure web interac…

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cs.CRcs.AIRecentApr 2, 2026

Opal: Private Memory for Personal AI

Darya Kaviani, Alp Eren Ozdarendeli, Jinhao Zhu, Yu Ding +1 more

Opal is a private memory system for personal AI that maintains high retrieval accuracy and throughput while ensuring data privacy by confining all data-dependent reasoning to a trusted hardware enclav…

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