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Home/Authors/Yiming Zhang

Yiming Zhang

5 indexed papers

Recent (6 mo)
5
With code
0
Influential cites
0
Benchmarked
0

Publications per year

5
26

Top categories

AI×3ML×2Crypto×2NLP×1Info Retrieval×1Vision×1

Frequent co-authors

Zihan Chen1×
Wenxiang Geng1×
Zenghui Ding1×
Yining Sun1×
Wentao Hu1×
Zhendong Chu1×

Research Timeline

2026
Towards Physically Realizable Adversarial Attenuation Patch against SAR Object Detection

The paper proposes a novel Adversarial Attenuation Patch (AAP) method, which is a physically realizable and stealthy adversarial attack designed to degrade SAR target detection performance.

Shielded but Lightweight: Building Practical Confidential Containers with ARM CCA

The paper proposes Fasco, a lightweight confidential container runtime utilizing ARM CCA to significantly reduce startup latency and resource overhead compared to existing microVM-based confidential container architectures.

ProvMind: Provenance-grounded reasoning for materials synthesis

The paper introduces ProvMind, a provenance-grounded reasoning framework that significantly improves materials synthesis process optimization by accurately predicting optimal synthesis routes under challenging, out-of-distribution conditions.

SkillBrew: Multi-Objective Curation of Skill Banks for LLM Agents

The paper introduces SkillBrew, a multi-objective framework that treats skill bank curation as a constrained optimization problem to build efficient and well-curated skill repositories for LLM agents.

The Paradox of Outcome Optimization: A Causal Information-Theoretic Bound on Reasoning Shortcuts in LLMs

The paper theoretically explains that optimizing LLMs solely on outcomes leads to brittle reasoning (Reward-Induced Manifold Collapse) by favoring low-complexity shortcuts, and proposes process-based supervision to fix this.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AIRecentMay 30, 2026

The Paradox of Outcome Optimization: A Causal Information-Theoretic Bound on Reasoning Shortcuts in LLMs

Zihan Chen, Yiming Zhang, Wenxiang Geng, Zenghui Ding +1 more

The paper theoretically explains that optimizing LLMs solely on outcomes leads to brittle reasoning (Reward-Induced Manifold Collapse) by favoring low-complexity shortcuts, and proposes process-based…

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cs.CLcs.AIcs.IRRecentMay 28, 2026

SkillBrew: Multi-Objective Curation of Skill Banks for LLM Agents

Wentao Hu, Zhendong Chu, Yiming Zhang, Junda Wu +5 more

The paper introduces SkillBrew, a multi-objective framework that treats skill bank curation as a constrained optimization problem to build efficient and well-curated skill repositories for LLM agents.

View →
cs.AIcs.LGRecentMay 27, 2026

ProvMind: Provenance-grounded reasoning for materials synthesis

Yiming Zhang, Ryo Tamura, Koji Tsuda

The paper introduces ProvMind, a provenance-grounded reasoning framework that significantly improves materials synthesis process optimization by accurately predicting optimal synthesis routes under ch…

View →
cs.CRRecentMay 25, 2026

Shielded but Lightweight: Building Practical Confidential Containers with ARM CCA

Liantao Song, Yiming Zhang, Fengwei Zhang, Yan Ding +3 more

The paper proposes Fasco, a lightweight confidential container runtime utilizing ARM CCA to significantly reduce startup latency and resource overhead compared to existing microVM-based confidential c…

View →
cs.CVcs.CRRecentApr 1, 2026

Towards Physically Realizable Adversarial Attenuation Patch against SAR Object Detection

Yiming Zhang, Weibo Qin, Feng Wang

The paper proposes a novel Adversarial Attenuation Patch (AAP) method, which is a physically realizable and stealthy adversarial attack designed to degrade SAR target detection performance.

View →